Transistors, the building blocks of modern electronics, are typically made of silicon. Because it’s a semiconductor, this material can control the flow of electricity in a circuit. But silicon has fundamental physical limits that restrict how compact and energy-efficient a transistor can be.

MIT researchers have now replaced silicon with a magnetic semiconductor, creating a magnetic transistor that could enable smaller, faster, and more energy-efficient circuits. The material’s magnetism strongly influences its electronic behavior, leading to more efficient control of the flow of electricity. 

The team used a novel magnetic material and an optimization process that reduces the material’s defects, which boosts the transistor’s performance.

The material’s unique magnetic properties also allow for transistors with built-in memory, which would simplify circuit design and unlock new applications for high-performance electronics.

“People have known about magnets for thousands of years, but there are very limited ways to incorporate magnetism into electronics. We have shown a new way to efficiently utilize magnetism that opens up a lot of possibilities for future applications and research,” says Chung-Tao Chou, an MIT graduate student in the departments of Electrical Engineering and Computer Science (EECS) and Physics, and co-lead author of a paper on this advance.

Chou is joined on the paper by co-lead author Eugene Park, a graduate student in the Department of Materials Science and Engineering (DMSE); Julian Klein, a DMSE research scientist; Josep Ingla-Aynes, a postdoc in the MIT Plasma Science and Fusion Center; Jagadeesh S. Moodera, a senior research scientist in the Department of Physics; and senior authors Frances Ross, TDK Professor in DMSE; and Luqiao Liu, an associate professor in EECS, and a member of the Research Laboratory of Electronics; as well as others at the University of Chemistry and Technology in Prague. The paper appears today in Physical Review Letters.

Overcoming the limits

In an electronic device, silicon semiconductor transistors act like tiny light switches that turn a circuit on and off, or amplify weak signals in a communication system. They do this using a small input voltage.

But a fundamental physical limit of silicon semiconductors prevents a transistor from operating below a certain voltage, which hinders its energy efficiency.

To make more efficient electronics, researchers have spent decades working toward magnetic transistors that utilize electron spin to control the flow of electricity. Electron spin is a fundamental property that enables electrons to behave like tiny magnets.

So far, scientists have mostly been limited to using certain magnetic materials. These lack the favorable electronic properties of semiconductors, constraining device performance.

“In this work, we combine magnetism and semiconductor physics to realize useful spintronic devices,” Liu says.

The researchers replace the silicon in the surface layer of a transistor with chromium sulfur bromide, a two-dimensional material that acts as a magnetic semiconductor.

Due to the material’s structure, researchers can switch between two magnetic states very cleanly. This makes it ideal for use in a transistor that smoothly switches between “on” and “off.”

“One of the biggest challenges we faced was finding the right material. We tried many other materials that didn’t work,” Chou says.

They discovered that changing these magnetic states modifies the material’s electronic properties, enabling low-energy operation. And unlike many other 2D materials, chromium sulfur bromide remains stable in air.

To make a transistor, the researchers pattern electrodes onto a silicon substrate, then carefully align and transfer the 2D material on top. They use tape to pick up a tiny piece of material, only a few tens of nanometers thick, and place it onto the substrate.

“A lot of researchers will use solvents or glue to do the transfer, but transistors require a very clean surface. We eliminate all those risks by simplifying this step,” Chou says.

Leveraging magnetism

This lack of contamination enables their device to outperform existing magnetic transistors. Most others can only create a weak magnetic effect, changing the flow of current by a few percent or less. Their new transistor can switch or amplify the electric current by a factor of 10.

They use an external magnetic field to change the magnetic state of the material, switching the transistor using significantly less energy than would usually be required.

The material also allows them to control the magnetic states with electric current. This is important because engineers cannot apply magnetic fields to individual transistors in an electronic device. They need to control each one electrically.

The material’s magnetic properties could also enable transistors with built-in memory, simplifying the design of logic or memory circuits.

A typical memory device has a magnetic cell to store information and a transistor to read it out. Their method can combine both into one magnetic transistor.

“Now, not only are transistors turning on and off, they are also remembering information. And because we can switch the transistor with greater magnitude, the signal is much stronger so we can read out the information faster, and in a much more reliable way,” Liu says.

Building on this demonstration, the researchers plan to further study the use of electrical current to control the device. They are also working to make their method scalable so they can fabricate arrays of transistors.

This research was supported, in part, by the Semiconductor Research Corporation, the U.S. Defense Advanced Research Projects Agency (DARPA), the U.S. National Science Foundation (NSF), the U.S. Department of Energy, the U.S. Army Research Office, and the Czech Ministry of Education, Youth, and Sports. The work was partially carried out at the MIT.nano facilities.

The Antarctic ozone hole was discovered in 1985, when scientists observed a severe depletion in the Earth’s protective layer of stratospheric ozone. Industrial chemicals known as chlorofluorocarbons (CFCs), then widely used as refrigerants, propellants, foam-blowing agents, and solvents, were at the root of the ozone depletion. After concerted global effort to phase out the use of CFCs, ozone today is recovering, especially in the Antarctic. 

The discovery of the ozone hole was possible thanks, in part, to the measurement tools that were available at the time. Advances in those tools, along with satellites and other monitoring technologies, have since allowed scientists to track ozone’s recovery. 

But what if today’s tech was available much earlier? Would scientists have been able to spot even earlier signs of human-induced ozone depletion? And if so, when would those first signs have popped up, and where? 

MIT scientists now have some answers. The team, led by atmospheric chemist Susan Solomon, has carried out a thought experiment in which they consider a hypothetical world where today’s atmospheric monitoring capabilities were available throughout the last century. In this scenario, they simulated the atmosphere’s chemistry through history and discovered not only when the earliest sign of ozone depletion would have been detectable, but also where, and why. 

In a study appearing today in the Proceedings of the National Academy of Sciences, the scientists suggest that the first signs of ozone depletion appeared as early as 1957 — about 30 years before the ozone hole was discovered. And, this first signal of ozone loss popped up not in the Antarctic, but in the upper stratosphere of the tropics. What’s more, the cause of this early depletion was not due to CFCs, but to another industrial chemical: carbon tetrachloride. 

“What we’ve learned from textbooks is that CFCs result in ozone depletion,” says the study’s first author, Jian Guan, a graduate student in MIT’s Department of Earth, Atmospheric and Planetary Sciences (EAPS). “It turns out there was another compound that caused ozone depletion much earlier than CFCs. This was a big surprise.”

For Solomon, who was an early pioneer in the study of ozone’s effects on the atmosphere, and who was the first to show that CFCs were the main agent eroding Antarctic ozone, the new results were a complete shock. 

“The fact that ozone depletion would have happened as early as the late 1950s, which is much earlier than I would have thought, just absolutely blew my mind,” says Solomon, the Lee and Geraldine Martin Professor of Environmental Studies and Chemistry at MIT. “This study shows it’s really important to keep monitoring so that we can fully understand how the atmosphere responds and recovers.”

The study’s MIT co-authors include Peidong Wang, Yaowei Li, and Kane Stone; along with Benjamin Santer of the University of East Anglia; Qiang Fu of the University of Washington; Rolando Garcia, Douglas Kinnison, and Jun Zhang of the National Center for Atmospheric Research; Jean-Francois Lamarque of Climate Modeling and Analysis LLC; and Gabriel Chiodo of the Spanish National Research Council. 

Chlorine connection

Ozone is a highly reactive molecule, made from three oxygen atoms, that exists naturally in the upper layers of the atmosphere. In the stratosphere, ozone acts as a shield, absorbing the sun’s rays and reducing the harmful ultraviolet radiation that can reach the Earth’s surface. 

In the late 1980s, after scientists first observed signs of ozone depletion in the Antarctic, Solomon led expeditions to the region to measure the stratosphere’s composition. Those measurements confirmed that ozone’s agent of destruction was CFCs — the chemicals which were used globally in refrigeration, air conditioning, and aerosol propellants, among other uses. 

Specifically, Solomon measured higher-than-expected levels of chlorine dioxide in the Antarctic stratosphere. The presence of this molecule, in the same place where ozone depletion was observed, had only one chemical explanation: Ozone was being broken apart by rogue atoms of chlorine. At the time, chlorine-heavy CFCs were in wide use, and MIT chemist Mario Molina proposed that if CFCs drifted up to the stratosphere, photons from the sun could break apart the molecules and release atoms of chlorine, which would then be free to break apart ozone’s oxygen atoms. 

Molina’s work, and Solomon’s measurements, were key in showing that CFCs could deplete ozone — a discovery that earned Molina a share of the 1995 Nobel Prize in Chemistry. Soon after, nearly every country in the world signed the Montreal Protocol, which ultimately led to the successful phase-out of CFCs and other ozone-depleting substances. In recent years, as a result of that global cooperation, scientists have observed initial signs of ozone recovery.

“We know what we have now, and ozone is starting to recover,” Solomon says. “But no one has ever really documented where and when and why the first ozone depletion would have happened.”

Signal over noise

For their new study, Solomon, Guan, and their colleagues took a “what-if” approach, posing the question: What if the past had the monitoring capabilities of the present? When would we have been able to detect the earliest sign of human-induced ozone depletion? 

Today’s monitoring tools are sensitive to a certain signal to noise, meaning they can identify patterns of ozone loss that are more likely a “signal” of human-induced depletion (such as from CFCs), versus ozone loss that is due to “noise,” such as random fluctuations from weather and natural phenomena. 

With this in mind, the team looked to reproduce the chemistry of the atmosphere over the last century to see whether they could see a signal over the noise, based on the sensitivity of today’s monitoring tools. 

The team used 16 different model runs, each of which simulates varying conditions and dynamics of the atmosphere at various latitudes and altitudes, as well as the concentrations and interactions of ozone and other molecules. Ozone is affected by not only human-caused chemicals but also natural phenomena such as volcanic eruptions and El Niño weather patterns. Each model run simulates ozone’s response to these natural phenomena, which the team combined to establish a range of “noise,” or ozone depletion that likely is due to natural variability.

They added to each model the various industrial chemicals that were known to have been produced at various times over the last century. 

“Year by year, we have estimates from industry of how much of these chemicals were made and sold globally, and the emissions of all these chemicals, which the models include,” Solomon explains. “And in the case of carbon tetrachloride, the really cool thing is, we also have ice core data.”

Ice cores are drilled-out cylinders of deeply buried ice, that had formed in the Antarctic and Arctic from the falling and layering of snow over hundreds of years. Ice cores contain the remnants of snow, as well as whatever trace chemicals in the atmosphere the snow originally fell through. Scientists can therefore use ice cores to estimate the composition of the atmosphere through history. 

“We actually see in the ice cores that carbon tetrachloride starts increasing already by the 1940s,” Solomon notes. 

The team incorporated industrial and ice core data into their models, then looked to see whether a signal of human-induced ozone loss stood out from the noise of natural fluctuations. Their analysis revealed that a signal did appear, as early as 1957. Not only did they see when the signal appeared, but also where: in the tropics, rather than the Antarctic. 

The researchers say that human-induced ozone loss was likely occurring globally, but was easier to spot in the tropical upper stratosphere, since that is the region where the range of natural fluctuations is the smallest, and therefore where a signal can stand out better.

Finally, the analysis indicated that carbon tetrachloride, and not CFCs, was the cause of the earliest ozone depletion. 

“That’s the only ozone-depleting substance that was increasing that early,” Solomon says. “We started using carbon tetrachloride in the 1930s as a dry-cleaning agent, and as a degreasing solvent. We didn’t start using CFCs until quite a bit later.”

Carbon tetrachloride has since been phased out of use in most of the world, initially due to its health concerns; the chemical can cause nervous system disorders with prolonged exposure and is a suspected carcinogen. Since the Montreal Protocol began to tightly limit its use in the 1990s, the molecule’s concentrations in the atmosphere have been on a decline. Still, Solomon says the new study highlights the need for vigilance in monitoring carbon tetrachloride, CFCs, and other ozone-depleting substances that may have been phased out but can still linger for decades.

“We’ve gone through a big effort to get rid of these chemicals,” Solomon says. “Don’t we have an obligation to keep monitoring to make sure the atmosphere responds the way we think it should?”

This research was supported, in part, by the National Science Foundation, the National Oceanic and Atmospheric Administration, and the European Commission.

The MIT Music Technology and Computation (MTC) Graduate Program — launched in fall 2024 as a collaboration between the Music and Theater Arts Section in the School of Humanities, Arts, and Social Sciences (SHASS), and the School of Engineering (SoE) — presented its inaugural MIT Music Technology Research Showcase on May 13. The event played to a standing room-only house in the Edward and Joyce Linde Music Building’s Thomas Tull Concert Hall and featured diverse and captivating research presentations and music performances.

The celebratory occasion featured MTC’s first five enrollees (all of whom were previously MIT undergraduates), alongside several PhD students and faculty. Each scholar presented inspiring exemplars of artful engineering that reflected the broader and burgeoning music technology scene at MIT. 

The 90-minute event exhibited a broad array of research projects, including a real-time visualization of what an AI co-improvising agent is about to play on a piano; a sound-art installation based on noisy network communication; a hip-hop dance circle where music is generated from dancing; and the use of electroencephalogram (EEG) signals to identify the musical tunes that our brains are imagining.

“A new space for exploration and insights” 

An interplay of technical presentation with live performance, the showcase began with remarks from SHASS Dean and professor of philosophy Agustín Rayo, SOE Dean and professor of chemical engineering Paula Hammond, and MTC Director and professor of the practice of music Eran Egozy.

Rayo began, “The goal of this program is simple — for MIT to lead the world in music technology theory and application,” adding “it’s not just about making music with technology; it’s also about working across disciplines to help better shape the future of expression in an AI-driven world, all while reflecting MIT at its best.” 

Rayo noted the graduate program was made possible in part by the opening of the Edward and Joyce Linde Music Building in 2025, which provided new classrooms, studios, rehearsal spaces, and a dedicated music technology lab. He also credited the MIT Schwarzman College of Computing for its support for the graduate program. 

Hammond followed: “As those in this room already know, music and engineering share some common roots. Both rely on mathematical precision and are informed by defined structures, rhythms, and frequencies. Both demand hard work and technical know-how, paired with inspiration and imagination, to create something entirely new. Given those congruities, it’s no surprise that so many faculty, students, and staff members across MIT are also accomplished musicians and artists.”  

She continued, “Our music program is a gem. Only at MIT could we bring the top technologists and the top musicians together to create unique opportunities for collaboration. Here we have brought together faculty and students who identify strongly with both music and engineering to form a new space for exploration and insights. It’s a strong example of the collaborative culture that defines the Institute.”  

Egozy called the event a “harmonious hybrid of concert and symposium,” and recollected, “it’s a little mind-boggling to see what our students have achieved in just one short and fast-paced year. While we originally debated the trade-offs between a one-year and a two-year master’s program, I think this cohort really showed us that we can make huge strides in learning and research abilities in a concentrated period of time.” 

Student research on display

One of those students is Claire Southard ’25, SM ’26, who developed a machine-learning model used to identify musical notes hidden in EEG signals.  

Southard explains, “every year, musicians are diagnosed with movement disorders such as Parkinson’s disease and dystonia, or experience injuries that prevent them from controlling their hands and bodies in the ways required to play their instruments. Because of this, too many musicians are forced to stop doing what they love. My work explores one strategy to help such musicians perform again by translating the music they’re trying to play directly from their brain activity — bypassing the need for motor control altogether. To do this, I trained machine-learning models to predict the music a person is imagining from their brain activity measured using EEG, and many of the predicted pieces were found to be recognizable representations of what the user imagined. By designing a system that allows musicians to create music regardless of their physical abilities, I hope this work helps bring a more accessible future for music performance closer to reality.”  

Before joining MTC, Southard was initially unaware of the breadth, scope, and magnitude of what the program could offer for further pursuing and realizing her interests. “The MIT Music Technology and Computation Graduate Program taught me so much about the possibilities at the intersection of STEM and the arts," she says. "When I first started the program, I honestly wasn’t sure what counted as ‘music technology.’ Through classes, research, and conversations with faculty, guest speakers, and peers, I learned the field was far broader and more fascinating than I could have previously imagined.”  

She continues, “coming from a background in neuro- and computer science, many of my undergraduate projects happened entirely on devices. But this program allowed me to encounter more hands-on experiences, from conducting audio recordings to building electronic musical instruments from scratch.” 

Another MTC graduate, and student speaker at the 2026 SHASS Advanced Degree Ceremony, Mariano Salcedo ’25, SM ’26, presented a custom web application allowing anyone to create unique emergent visuals that are driven by real-time streaming music. To accomplish this effect, Salcedo built algorithms that leverage the complex visual behavior of self-organized systems as the means toward an aesthetically synergetic end.  

In his Advanced Degree Ceremony oration, Salcedo expressed his gratitude and admiration for the passionate people that he’s met not only in MTC, but at MIT overall. In an appropriately compassionate mode, he empathetically opined, “I think what times like this call from us is to lead the way in human and humane-centered technology, which means we don’t only just ask what we can build, but we also ask who is it going to affect, who is not going to affect? Who does it benefit?”  

Music technology thriving at MIT

Associate Professor Anna Huang SM ’08 of MTA and the Department of Electrical Engineering and Computer Science (EECS, through SCC), a graduate of the MIT Media Lab, and one of the world’s leading researchers in collaborative human-AI music-making, echoed both Southard and Salcedo’s sentiments through her keynote presentation, “In Search of Resonance in Human-AI Interaction.” A compelling and intimately conversational address, her speech emphasized the importance of centering the human musician in all that is done relating to AI, while also making efforts to include all musics of the world in its discourse at every opportunity. 

With many of her family members in the audience, Huang reflected, “I have the privilege of being in both MIT Music and EECS — an interdisciplinary, shared space. What does it mean to build music technology in this context? We’re surrounded by extremely talented musicians, so we take this co-design approach: We work with these musicians, we go into the studio, and every week we try something. And the technology grows with the creative process. We’re always trying to push both of these forward, and it’s always on the edge. It’s very, very rewarding. It’s where I feel most at home.”   

Huang also explained how this practice sets the stage for a new Studies in Music Technology subject that she will be co-teaching in the fall with recently appointed Professor of Theater Arts Grisha Coleman. Class 21M.369/569 (Tuning Attention: Creative Practices in Movement, Sound, and AI) proposes that the study of sound and movement practices can inform how we build and envision computational systems, focusing particularly on our relationship to AIs. It will introduce students to a range of musical practices in improvisation and somatics by way of motion-capture technologies, critical interaction design, generative modeling, and algorithms for interpretability and learning through human feedback. 

All considered, the future of the MIT Music Technology and Computation Graduate Program is bright. Egozy says MTC admitted 10 master’s students for the 2026-27 academic year from over 100 applicants. Unlike this year’s class, next year’s students will not only include recent MIT undergraduate alumni, but also new faces to campus. 

“Widening the pool to graduates of other schools and institutions will bring an extraordinary wealth of perspectives and experiences to the program. Additionally, all three shared faculty between MTA and EECS — including Mark Rau, Paris Smaragdis SM ’97, PhD ’01, and Huang — are inviting new Music Technology PhD students to their labs by way of EECS,” Egozy says. 

Embodying its mission, MTC is proving to be a vibrant, multidisciplinary program that attracts many kinds of students with a variety of career objectives from wide-ranging backgrounds. 

“Despite their diversity, our students all possess a central commonality,” Egozy says, “not just a shared love for music, but also a deep desire to augment that passion by way of technology in a very warmhearted, humanitarian way.” 

List of projects

Rachel Loh, Quanta Fellow in Music Technology and Computation: “Visualizing the Internal State of Music Models for Live Human-AI Improvisation” 

Noble Harasha, Quanta Fellow in Music Technology and Computation: “Modeling Subjectivity and Collective Sensory Perception as Noisy, Analog Communication in Feedback-Driven Networks” 

Z Chen, Quanta Fellow in Music Technology and Computation: “Generative Music as a Catalyst for Social Choreography” 

Nithya Shikarpur: “The Moving Drone: A Live Improvisation in the Context of Hindustani Music with the Human Voice, Generative models, and Loops”

Mariano Salcedo, Alex Rigopulos (1992) Fellow in Music Technology and Computation: “Neural Cellular Automata for Interactive Music Visualization”

Claire Southard, John Piscitello Fellow in Music Technology and Computation: “Neural Decoding of Imagined Music”

Stephen Brade, Suwan Kim, Valerie Chen: “Whale, Cello (there?): A Musical Dialog between Cello and a Real-time Diffusion Model Trained on Whale Songs” 

Whitney Henry and Harikesh Wong have been named 2026 Pew Scholars in the Biomedical Sciences. The Pew Charitable Trusts announced the 21-member class of early-career researchers, which includes the two MIT scientists as well as two alumni, on June 16. Each scholar will receive four years of funding to pursue cutting-edge research into human health and disease. Xin Gu PhD ’22 of Dana-Farber Cancer Institute and Christina Tringides ’15 of Rice University were also selected as scholars.

Henry, the Robert A. Swanson (1969) Career Development Professor of Life Sciences and a faculty member at the Koch Institute for Integrative Cancer Research, will use the Pew scholarship to examine how a stress-induced cell death program called ferroptosis contributes to injury and regeneration in the liver. Wong, assistant professor of biology at MIT and core member at the Ragon Institute of Mass General Brigham, MIT, and Harvard, will use his award to investigate how groups of immune cells reach a “communal decision” about whether to tolerate or attack a particular target.

Whitney Henry

Henry’s research centers on ferroptosis — an iron-dependent form of regulated cell death — and its role in shaping cell fate and tissue remodeling. Her lab investigates why some cells can withstand stress while others cross the threshold for ferroptosis, focusing on the molecular, metabolic, and tissue-level cues that shape ferroptosis vulnerability. The work draws on chemical biology, metabolomics, functional genomics, and in vivo models. By defining the mechanisms that govern ferroptosis susceptibility, Henry’s group aims not only to identify novel therapies that target the most dangerous subpopulations of cancer cells, those that are highly metastatic and resistant to conventional treatment, but also to advance understanding of diseases in which ferroptosis drives tissue injury, fibrosis, or impaired repair. 

Harikesh Wong

Wong investigates how groups of cells organize into networks that collectively process information and control immune responses within tissues. These networks must continually balance the body’s need to protect itself against pathogens and tumors with the need to preserve healthy tissue function. Combining the tools of immunology with high-resolution fluorescence microscopy, computational modeling, and gene manipulation, his lab seeks to map, model, and manipulate the cell-cell interactions that govern these decisions within intact tissues, revealing how subtle changes in multicellular organization and communication can shift immune responses toward pathogen clearance and tolerance, or toward autoimmunity, chronic inflammation, and cancer.

Pew scholars are chosen from applicants nominated by leading academic institutions across the United States. This year’s class of 21 was selected from 211 nominees. The incoming scholars join a legacy of more than 1,000 scientists supported by the program since 1985. During their time as scholars, they will meet annually with fellow Pew-funded scientists to build connections across a wide variety of disciplines.

“Scientific discovery is moving at a rapid pace, and now more than ever we need curious and creative researchers leading the charge,” says Lee Niswander, a 1995 Pew scholar and chair of the program’s national advisory committee. “These new biomedical scholars are prepared to meet that challenge, and I look forward to watching their research unfold.”

In the early months of a PhD program, everything can feel urgent. Ideas move quickly, expectations feel high, and timelines, especially initial deadlines, may become heavy.  In those moments, Professor Anantha P. Chandrakasan is there for his students, armed with steady mentorship and clear guidance to help them regain perspective and move forward with confidence.

Appointed provost of MIT in 2025, Chandrakasan is a pioneering researcher in low-power electronics, integrated circuits, and energy-efficient system design within MIT’s Department of Electrical Engineering and Computer Science. His work has shaped how modern devices — from mobile systems to large-scale computing platforms — manage energy consumption and performance. Spanning circuits and systems for sensing, communication, and machine learning, his research focuses on pushing the limits of efficiency. Students note that his scholarship is defined by rigor, precision, and a forward-thinking approach, and that the same principles carry through to his mentorship.

One of the 18 faculty members within the 2025–27 Committed to Caring cohort, Chandrakasan is recognized for a style that meets students not just at the level of their research, but at the level of their experience. His guidance works to ground students, balancing ambition with steadiness, and precision with perspective. Across his lab and the broader MIT community, he has become known for a simple but clear pattern: When pressure rises, he is there to help.

Interrupting the pressure cycle

One student recalls their first semester at the Institute as a blur of excitement, but also of mounting stress. Given the opportunity to contribute to a conference-bound project, they pushed hard to meet a January submission deadline. 

“I poured myself into the work, but as the deadline approached, it became clear that the project was taking longer than expected,” remembers the student. “I began to … worry that I might not finish in time.”

When Chandrakasan noticed, his response was not to continue with the current unsustainable pace of research, but to recalibrate it — adding both perspective and a support structure to help ground the work.

He connected the student with a more senior lab member, creating a steady channel for both technical troubleshooting and day-to-day guidance. “This not only helped me overcome research challenges, but also created a natural environment for me to engage in discussions and build relationships with lab members,” the student reflected. 

Within Chandrakasan’s research group, mentorship is never confined to one-on-one advising. He actively builds structures that allow students to learn from one another, pairing newer members with more experienced researchers and encouraging organic collaboration across projects.

These connections serve a dual purpose. They accelerate technical growth, but they also reduce the isolation that can accompany early-stage research. By embedding students within a broader support network, he ensures that they are never navigating unfamiliar challenges entirely on their own. 

One nominator describes this emphasis on camaraderie as a defining feature of the lab: an environment where independence is cultivated, but never at the expense of connection.

Redefining what counts

In addition to creating this support structure, Chandrakasan also reframed the overwhelmed student’s situation. Rather than treating the conference deadline as definitive, he reminded the student that one missed milestone would not determine the trajectory of their PhD, or of their career as a whole. “His thoughtful words and calm demeanor helped me regain my balance, both emotionally and academically,” noted the student. 

It was a small shift in framing, but a consequential one. The pressure that had once felt absolute became part of a much larger perspective. Armed with that reassurance, the student recovered footing and ultimately completed the submission. 

While this particular story of looming deadlines and stress is one student’s experience, it is a relatable one for graduate students. Within academic spaces, it is easy for tangible milestones — papers, conferences, and results — to become the primary measure of progress. Chandrakasan does not dismiss their importance, but he does encourage a broader view.

“There will always be another opportunity,” he tells students. This principle serves as a consistent baseline for how to engage with the work. The goal is not to remove challenges, but to ensure that the work can endure through them. 

Chandrakasan’s advising philosophy centers on calibration: of expectations, goals, and how students interact with their academic work. “My technical advising is direct, because I believe clarity is a form of care,” shares Chandrakasan. In his eyes, precise feedback is one of the most meaningful forms of support a mentor can offer.

While his style is often candid, it is never harsh — honest feedback is softened by sincerity. Students describe an approach that is highly attuned to the individual, with Chandrakasan compromising, showing empathy, and adapting his teaching style to fit their needs. When asked, Chandrakasan shares that his advising technique is “always personal … focused on drawing out each student’s strengths, rather than imposing a single template of success.”

Students are encouraged to arrive at their own conclusions, with Chandrakasan shifting the focus from short-term fixes to long-term capability. “I help in creating space for students to think deeply, develop their own perspectives, and arrive at their own solutions,” he explains. This strategy “builds both independence and confidence.” 

His mentorship extends beyond immediate outcomes. It shapes how students come to understand their own potential, how they navigate difficulty, and how they, in turn, show up for others. In a field driven by innovation and speed, Chandrakasan’s approach offers something grounding: a model of mentorship where rigor and care are not competing priorities, but mutually reinforcing ones.

Reflecting on their time in Chandrakasan’s lab, his student shared that “I learned that real mentorship is not just about solving problems — it’s about understanding the person behind them.”

“Beyond Data-Driven Aesthetics,” by MIT Architecture alumnus and researcher Alexandros Haridis, on view at the MIT Keller Gallery through June 30, examines 20th- and 21st-century efforts to transform computing into a medium for creative production and aesthetic judgment in architecture and the applied arts. Drawing on philosophy, mathematics, computer science, and design computation, the exhibition translates algorithms, theories, and machine-learning systems into physical installations and interactive visualizations.

Q: What inspired “Beyond Data-Driven Aesthetics,” and what questions does it explore?

A: The conceptual origins of “Beyond Data-Driven Aesthetics” emerged from three intersecting lines of research.

First, while completing my PhD in design and computation in the MIT Department of Architecture around 2022, I observed in real time how advances in data-driven machine learning — systems such as ChatGPT and Stable Diffusion — were rapidly entering public discussions about creativity, aesthetic judgment, design, and even high-profile art auctions.

At the same time, my own research was already focused on aesthetic judgment and evaluation, and it became increasingly clear to me that many of the questions presented publicly as “new” in relation to AI actually have a much longer history across the 20th century. For example, in the 1956 Dartmouth Summer Research Project, a foundational event for the field of AI, creation and evaluation processes were identified as one of seven key dimensions of human intelligence that future AI research should address.

Second, the exhibition was influenced by research in design computation and shape grammars that investigates relationships between human insight and computation through rule-based methods, rather than purely data-driven learning. More recent interpretative studies of aesthetic theories — drawing from figures such as Samuel Taylor Coleridge, Oscar Wilde, and even John von Neumann — have been especially important to me. These studies examine whether theories of aesthetic value and comparison articulated in philosophical and literary texts may reveal possibilities or limitations in contemporary models of digital computation and AI in architecture and design.

Finally, the exhibition was motivated by the use of design, fabrication, and data visualization as methods for interpreting mathematical concepts, algorithms, and “black box” machine-learning systems. Across disciplines, researchers increasingly use reconstruction and visualization techniques to make computational systems more tangible and interpretable — from neural network visualization in computer science to software reconstruction and digital fabrication in architecture and curatorial practice.

Q: How do you translate research on computation and aesthetics into an exhibition?

A: The approach of the exhibition is to ask what exactly in a particular research paper or book captures its most salient idea, and then use design to interpret that idea in a visual, spatial, and experiential format. Drawing on design techniques such as software reconstruction, physical making, and data visualization, the exhibition takes written sources that are dense with algorithmic ideas, abstract concepts, and mathematical formulas, and translates them into stories in space that include interaction, material form, and digital visualization.

The exhibition itself is organized around five thematic areas: Aesthetic Measure, Aesthetic Guidelines, Algorithmic Aesthetics, Aesthetic Appropriation, and Aesthetic Novelty. Each theme functions as a selective “window” into a distinct computational approach to aesthetic judgment drawn from a specific publication — a book or research paper. The titles of these themes are derived from concepts central to each publication. For example, “measure” refers to mathematician George Birkhoff’s work in the 1930s to quantify aesthetic value mathematically, while “novelty” examines how the machine learning system AICAN judges generated images according to a theory in cognitive aesthetics that balances familiarity and deviation from known artistic styles.

Across all five cases, the key insight is that design itself can function as a method of interpretative translation — a way of making visible, tangible, and experiential what traditional academic scholarship in technical domains typically communicates only through words and word-like representational devices, such as scientific diagrams and tables.

Q: What questions are you hoping to explore next?

A: “Beyond Data-Driven Aesthetics” is conceived both as a research exhibition and as an ongoing platform for investigating how computational systems participate in processes of aesthetic judgment, generation, and transformation across architecture and the applied arts.

One of the central questions of the exhibition — and one that researchers across architecture, design, and engineering are increasingly focusing on — is computational evaluation beyond purely performative or functional requirements. This applies to many different design spaces, whether buildings, structural forms, or everyday products. The exhibition’s case studies suggest that many of these questions long predate current interest in computing and AI, and have been approached through a range of computational and theoretical models of evaluation since at least the early 20th century.

At the same time, I’m increasingly interested in how these ideas can move into broader applications related to the built environment. In particular, I am interested in how research connected to “Beyond Data-Driven Aesthetics” can help designers and engineers better understand how computation — whether rule-based or data-driven — can inform us about what contributes positively to human experience in relation to the spaces and objects people inhabit and use.

Finally, a direction I continue to explore is the methodological role of design itself as an interpretative device. Through software reconstruction, visualization, and physical making, the exhibition uses design to translate opaque computational systems into more legible, tangible, and experiential artifacts. More broadly, this opens questions not only about mechanizing “beauty” or “taste” (the traditional preoccupation of aesthetic formalism in the 20th century), but also about how traditional forms of research scholarship and communication may evolve through spatial, visual, and public-facing formats.

The ordinary graphite in pencil lead is proving to be surprisingly multifaceted at the microscale. 

In a study appearing today in the journal Nature, MIT researchers report that a certain microscopic structure found in natural graphite can host multiple superconducting states. Superconductivity is an electronic state of matter in which electrons pair up and glide through a material with zero resistance. 

While there are thousands of materials that are known to be superconductors, it is rare for one material to host multiple forms of superconductivity. 

The researchers discovered the multiple superconducting states in atomically thin exfoliations of graphite, known as graphene. Specifically, graphene is a single-atom-thin sheet of carbon atoms arranged precisely in a microscopic lattice. The team made its discoveries in samples of rhombohedral graphene, which is a natural structure within graphite consisting of a stack of four or five graphene layers. 

Interestingly, the researchers found that several of the new superconducting states in rhombohedral graphene are able to persist in the presence of a magnetic field, which normally kills superconductivity. 

And in a further surprise, these superconducting states even get stronger when exposed to a magnetic field. 

Overall, the findings reveal a new family of unconventional superconducting states in one seemingly simple material. 

“People might assume that this is a simple, boring carbon material,” says Long Ju, the Lawrence C. and Sarah W. Biedenharn Associate Professor of Physics at MIT. “But we can control this material by tuning certain experimental ‘knobs,’ such as electrical voltages. This is how a simple physical material can exhibit so many different superconducting properties.” 

It’s still unclear exactly how each of the multiple superconducting states arise, or how they are able to persist under a magnetic field, when normally superconductivity should fade.

“From a fundamental physics point of view, it’s very exotic that a magnetic field doesn’t kill superconductivity, and instead it boosts it,” Ju says. “We have provided a lot of experimental results and provided the nutrition that people can absorb to try to think about what’s going on here.” 

The study’s MIT co-authors include co-first authors Junseok Seo and Shenyong Ye, together with Tonghang Han, Zhenghan Wu, Wei Xu, Jixiang Yang, Emily Aitken, Prayoga Liong, Phatthanon Pattanakanvijit, Zach Hadjri, and Mingda Li. External collaborators are co-first author Armel Cotten and members of Dominik Zumbuhl’s group at the University of Basel in Switzerland, plus others at Florida State University, the University of Florida, Gainesville, and the National Institute for Materials Science in Japan. 

Natural steps

Graphene and other atomically thin, two-dimensional materials can exhibit unexpected electronic, magnetic, thermal, and physical properties. And when two or more sheets of graphene are stacked and twisted at precise orientations, the “magic-angle” structure can suddenly host weird and exotic phenomena. 

Ju’s group has been probing the exceptional properties of graphene. But rather than artificially stacking and twisting layers, they have looked for interesting behavior in naturally occurring graphene structures. In recent years, they have unearthed surprising electronic properties in rhombohedral graphene. This particular configuration consists of graphene layers stacked on top of each other, each one slightly offset from the last, similar to the steps in a staircase. 

Rhombohedral graphene can be found naturally in ordinary graphite. But to find it first requires exfoliating a block of graphite (usually with Scotch tape), then searching the exfoliated sample for the telltale staircase-like pattern, which researchers can then isolate for further experimentation. 

Using this approach, Ju and his colleagues have been able to isolate and probe samples of four- and five-layer rhombohedral graphene. They have so far discovered that the structure can host a rare, “chiral” form of superconductivity, as well as fractional electron charge, among other behavior. 

In the flow

For their new study, the team took a slightly different approach in studying rhombohedral graphene. Previously, they electrically “doped” their samples, progressively adding electrons as they passed a separate electric current into the material. They then measured the voltage, or essentially the force that pushes the current through the material, and looked for instances when the voltage dropped to zero, indicating that the current was passing through without resistance.

In this way, the team has observed superconductivity when adding electrons to rhombohedral graphene. So they wondered: What might happen if they did the opposite, and took electrons away? 

In their new study, the team looked for signs of superconductivity as they carefully removed electrons from rhombohedral graphene, progressively lowering the material’s electron density, as they applied a separate, external electric current to measure the electrical resistance. In these experiments, they also applied external magnetic field along directions parallel and perpendicular to the graphene plane. These experiments were carried out in collaboration with Zumbuhl’s group in Switzerland, who provided access to a laboratory setup in which graphene samples could be exposed to high magnetic fields and ultracold temperatures. 

In these experiments, the researchers found that at certain electron densities, four different superconducting states emerged. What’s more, three of the states persisted in the presence of a relatively high magnetic field. 

Normally, magnets destroy superconductivity by severing the bond between the paired electrons gliding through the material. 

But in Ju’s experiments, the team observed three superconducting states that survived in a magnetic field up to around 9 tesla, which is about 180,000 times stronger than the Earth’s magnetic field. In these instances, the magnetic field they applied was in a parallel orientation with respect to the plane of the material. When they switched the magnetic field to a perpendicular orientation, they discovered another surprise: At a certain electron density, superconductivity not only persisted, but increased. The material was able to continue superconducting, at higher temperatures than predicted. 

Every superconducting material has a critical temperature below which electrons can conduct without resistance, and above which superconductivity cannot persist. But the team found that, at a certain electron density, and in the presence of a perpendicular magnetic field, superconductivity in rhombohedral graphene was able to survive beyond the material’s critical temperature that corresponds to zero magnetic field. 

“The superconductivity actually is enhanced, as in, the transition temperature goes from 55 millikelvin to probably 90 millikelvin,” Ju explains. “At the same time, the material can take another 50 or 60 percent extra current before superconductivity gets destroyed. And that is very unusual.”

The researchers are unsure of what microscopic behavior is enabling multiple and unconventional superconducting states, though they propose one idea. Conventional superconductivity emerges when electrons pair up. These “Cooper pairs” consist of electrons with opposite spin, and it’s thought that a magnetic field can pull the spins out of their opposite configurations, and as a result, break up superconductivity. 

Instead, the team proposes that perhaps in rhombohedral graphene, and at certain electron densities, electrons can pair up with aligned spins. Any magnetic field would still pull on the spins, but in the same direction, preserving their alignment, and their superconductivity. 

The researchers acknowledge that the idea needs much more investigation, both experimentally and theoretically. For now, they see the results as a demonstration of what new and exotic phenomena can emerge in a seemingly simple material, with the right measurements and controls. 

“We can control the simplest chemical and structural material— crystalline carbon— as part of the fun,” says lead author Junseok Seo, who is a graduate student in Ju’s group. “We’re not only dealing with what nature gives us, but we’re applying additional controls to change it to something that nature does not give us, but that can exist in the same material.”

This work was supported, in part, by the U.S. Office of Naval Research. Device fabrication was carried out, in part, at MIT.nano.

David Autor, the Daniel (1972) and Gail Rubinfeld Professor in the MIT Department of Economics, has been named head of the Department of Economics, effective July 1.

“David is a world-class labor economist,” says Agustín Rayo, the Kenan Sahin Dean of the School of Humanities, Arts, and Social Sciences. “He is also an individual of wisdom and insight. I look forward to welcoming him to the school’s leadership team.”

Autor’s scholarship explores the labor-market impacts of technological change and globalization on job polarization, skill demands, earnings levels and inequality, and electoral outcomes. He serves as faculty co-director of the James M. and Cathleen D. Stone Center on Inequality and Shaping the Future of Work. 

“I’ve been at MIT since 1999, and I owe my career to the Institute, the department, and colleagues who are as kind as they are accomplished,” Autor says. “Stepping into this role is a chance to contribute to a place that has shaped me at every stage.”

Autor succeeds Jon Gruber, the Ford Professor of Economics, who has served as department head since July 2023.

Autor says he “aims to build on the stellar standard set by its faculty and students while navigating budget tightening and a shifting political landscape.” 

“Just as important, I want to lead the department toward the opportunities that advancing AI is opening in how we teach and what we research,” he adds.

Autor serves as co-director of the National Bureau of Economic Research (NBER) Labor Studies Program. He earned a BA in psychology from Tufts University in 1989 and a PhD in public policy from Harvard University’s Kennedy School of Government in 1999. 

Autor has received numerous awards for both his scholarship — the National Science Foundation CAREER Award, an Alfred P. Sloan Foundation Fellowship, the Sherwin Rosen Prize for outstanding contributions to the field of Labor Economics, the Andrew Carnegie Fellowship in 2019, the Society for Progress Medal in 2021 — and for his teaching, including the MIT MacVicar Faculty Fellowship, the James A. and Ruth Levitan Award for excellence in teaching, the Undergraduate Economic Association Teaching Award, and the Faculty Appreciation Award from the MIT Technology and Policy Program.

In 2020, Autor received the Heinz 25th Special Recognition Award from the Heinz Family Foundation for his work “transforming our understanding of how globalization and technological change are impacting jobs and earning prospects for American workers.” 

In 2023, Autor was one of two researchers across all scientific fields who was named a NOMIS Distinguished Scientist. 

In 2024, Autor was one of five senior scholars selected by the Schmidt Sciences Foundation as an AI2050 Senior Fellow.

The number of U.S. data centers is growing, largely to power artificial intelligence programs. That has led to concern about the environmental consequences of data centers — and their impact on the energy grid itself. What will happen if scores of new data centers come online? 

A new study by MIT researchers indicates that the impact of data centers could vary significantly, depending on how their energy use is structured.

Specifically, if data centers move a significant portion of their energy consumption to non-peak hours, it might actually help lower average energy costs. The environmental impact, in terms of type of energy consumed, would differ by location, with some places likely seeing a greater buildout of renewables and others experiencing a relative increase in fossil fuel use. 

“The key with data centers is: How can we add them to the network without adding a lot to our peak usage?” says Christopher Knittel, an economist in the MIT Sloan School of Management and co-author of a new paper detailing the study. “One way for data centers to do that — to add to average usage but not the peak usage — is if they provide some grid flexibility during those high-cost periods. And that’s what we’ve been interested in understanding.”

Specifically, the paper finds that a flexible arrangement for data-center energy consumption, compared to an inflexible one, would produce cost savings of up to 5 percent in Texas, 4 percent in the Mid-Atlantic region, and 2 percent in the western U.S. states. To achieve that, data centers would have to move more than 20 percent of their consumption — sometimes more like 50 percent — to non-peak hours. 

The paper is titled “Flexible Data Centers Reduce Power System Costs But Can Increase Emissions,” and appears today in the journal iScience. The authors are Juan Ramon L. Senga, a postdoc in MIT’s Center for Energy and Environmental Policy Research; Shen Wang, a postdoc in MIT’s Center for Energy and Environmental Policy Research; and Knittel, who is the George P. Schultz Professor at MIT Sloan and the associate dean for climate and sustainability at MIT. 

The 20 percent solution

The expansion of data centers has raised questions about additional stress for the U.S. grid, the global effects of increased fossil-fuel consumption, and the local environmental effects of data centers. The current study examines the first two of these issues. 

To conduct the research, the scholars extensively simulated scenarios in which data centers expand, using the so-called “Gen X” model of the U.S. power grid, for a year’s worth of energy use. 

The study focused on the grid systems in three areas: Texas, the Mid-Atlantic region, and the “Western Interconnect,” comprising the 11 large western states in the lower 48 states of the U.S. The researchers studied these regions because they collectively host most of the country’s data centers — about 82 percent of U.S. data centers by 2030, according to one analysis. 

A bit counterintuitively, the researchers found that adding data centers could lower energy costs in some scenarios. Typically, about 60 percent of grid expenses are fixed costs, like power lines, while about 40 percent consists of energy costs. Adding data centers to the grid could, in effect, apportion the fixed costs over a higher volume of energy use. 

“It’s really just math,” Knittel says. 

But there is a catch. Lower costs might only happen if data centers increase their average consumption faster than their peak-hours consumption, when energy is most expensive. As it happens, most data centers do have flexibility built into their energy-use patterns, since they usually run at about 80 percent capacity.

In the study’s modeling, that flexibility often consists of shifting use from early-morning and early-evening peaks, to more midday energy consumption, when the energy load is lower and solar is at full capacity. The simulations show this makes a difference.

“There are two dimensions that data centers have to make decisions about,” Knittel says. “One is how much of their load in any one time period is flexible. And two, how many hours, plus or minus, can they move that computation?”

Pretty soon, real money

Additionally, data centers have different amounts of flexibility based on the types of AI-related computation they host. Data centers being used for AI training data tend to consume energy at a steady rate, but as a result could provide more flexibility for shifting power loads compared to inference data centers, which are used more for online search queries. In the latter case, consumption is driven more by end-user Internet habits.

Overall, Knittel emphasizes, the magnitude of cost savings suggested by the study, ranging from 2 percent to 7 percent, is significant. 

“Three percent is a big number,” Knittel says. “When you’re talking about the grid, 3 percent or 6 percent doesn’t sound like a lot. But when you’re multiplying it by 100 billion dollars, it becomes real money.”

When it comes to environmental impact, the modeling finds that the projected level of data center growth by 2030 would be very significant in terms of carbon dioxide emissions. Compared to a world with no data center growth, the study finds those emissions would rise by 58 percent in Texas, 20 percent in the Mid-Atlantic region, and by 24 percent in the western U.S. That underscores the need to be strategic about data center consumption. 

But the modeling also finds that the implications of data center buildout for clean-energy use vary by region. In Texas, where 54 percent of grid power is wind energy, having more data centers with flexible patterns of energy use could reduce emissions, by increasing demand for wind energy. The study finds that in this scenario, there could be 40 percent fewer CO2 emissions. 

However, in the Mid-Atlantic region, where there is a reasonable amount of solar energy but relatively less wind power, more data centers with flexible consumption patterns could increase both renewable energy and fossil-fuel energy consumption.  Here the modeling suggests an increase in CO2 emissions system-wide of 3 percent. 

“When data centers provide some flexibility in that latter scenario, the data centers actually move hours to when sun and wind energy production is slowing, and that allows a coal plant to stay on,” Knittel observes. “So it doesn’t necessarily attract more renewable investment. It attracts more coal investment.”

“That’s why we have policy”

For any of this to happen, however, the data centers would have to implement the flexible energy-use schedules modeled in the study. And it’s not clear that companies using data centers would be motivated to do that. To Knittel, this suggests officials might have to craft regulations in this area. 

“That’s why we have policy,” Knittel says.

More specifically, he adds, there is one big policy lever officials could use to achieve this goal: offering quicker initial hookups to the grid in return for time-of-use flexibility. 

“One big concern about these data centers now is how long it takes for them to connect to the grid,” Knittel says. “One way to provide flexibility now is what’s called ‘connect and manage,’ which is, connecting you faster to the grid if you agree to provide flexibility. Tech firms would take that deal. They would rather connect a year earlier, and throttle down computation a few hours a day, than to have to wait. We do this with power plants too.”

Certainly, Knittel adds, as firms competing with each other, “Tech companies say they won’t provide flexibility alone. But if everyone in the industry has to, it’s okay.” 

The current study is the first to examine the “end-to-end” implications of the centers for costs and emissions. The results, the scholars feel, bear further evaluation — and it is a topic they are continuing to model. 

“Those are two dimensions I think we should all be considering here,” Knittel says. “The end result is really up to us, and up to policy.” 

The research received support from the Future Energy Systems Center of the MIT Energy Initiative. 

Preventing adversaries from interfering with communications is crucial to national security. Tactical satellite communications (SATCOM) focus on securing reliable communications channels against adversaries in contested environments. In support of this mission, a team from MIT Lincoln Laboratory is building a prototype antenna characterized by low size, weight, power, and cost (SWaP-C).

Threats in contested environments — specifically proliferated low Earth orbit (pLEO), where satellites must be as low-SWaP as possible because of the high volume of satellites present — are signal jamming and signals intelligence. Mitigating these threats through methods such as changing the shape of antenna beams in real time so that the ground user's signals can't be interfered with, and preparing for future advanced capabilities, are key to ensuring that satellites stay in communication with users on the ground.

"Looking toward the future challenges of tactical SATCOM, there is a clear need for novel approaches to radio-frequency (RF) aperture designs that are scalable and low SWaP-C without sacrificing functionality," says Michael Craton, a technical staff member in Lincoln Laboratory's Tactical Satellite Communications Group. "That is, we want to think about ways we can achieve exquisite performance using less-expensive hardware. We want to anticipate future threats and have an idea about how to deal with them before they become a problem."

One way to tackle the challenge of proliferated interference and jamming is through adaptive antenna arrays. Unlike single-element antennas, arrays are made up of multiple antennas that work together to guide and shape energy to and from the array. Adaptive arrays can change beam states quickly (a technique called adaptive beamforming) and change them in real time, depending on conditions, to prevent interference in certain directions by placing nulls, or signals that interfere with others. However, adaptive arrays have high SWaP, making them difficult to operate in SWaP-constrained environments like pLEO.  

To address this problem, the team developed the Hosted Nimble Beamforming Anti-Jam Reflectarray (HoNi BAJR), a scanning reflectarray antenna prototype with a surface made up of reflective elements that can be individually controlled. When a signal hits the surface of the reflectarray, individual elements reflect energy with some phase shift to control the beam that is formed so that it blocks interference. Because the elements are very simple, the array can be scaled and controlled easily. Reflectarrays are similar to phased arrays, which consist of multiple elements that can be electronically controlled for quick beam changes, but scanning reflectarrays reflect signals toward a separate feed antenna, which eliminates much of the design complexity in conventional antenna arrays.

Unlike phased arrays that require amplifiers for each antenna element, reflectarrays do not require amplifiers because signals are collected by the feed antenna and combined in free space; this lack of amplifiers for each element in the reflectarray lowers the SWaP required and helps with scalability, as the beamforming network does not have to be redesigned each time the size of the array is changed. A reflectarray uses much less power than a typical array, dropping the power consumption by about 95 percent.  

The prototype HoNi BAJR reflectarray was designed for communications in a pLEO constellation with wide coverage across the horizon and can cater to low-power users in the presence of proliferated jamming. The array is sized to fit on a typical small satellite platform.

The HoNi BAJR team tested the array's beamforming capabilities at the laboratory's RF Systems Testing Facility, successfully demonstrating a high scan angle, which means the array can receive signals from a wide area. Their testing also showed that there is little loss in signal when synthesizing multipeak beams, or splitting the beam, indicating that reflectarrays can get signals to multiple users without information loss. 

Suppressing interference (unwanted signals from equipment like cell phone towers or electrical devices) is also very important to ensuring the antenna works correctly. The HoNi BAJR team's work in this area is based on two programs funded through an internally administered R&D portfolio: Deployable Electronically Scanning Reflectarray (DESRa) and Phase Analog Beamforming (PhAB, which uses DESRa hardware). PhAB demonstrated that it was possible to adapt to nulls and mitigate signal jamming in real time. However, in the dynamic signal environment of HoNi BAJR, there may not be time to adapt these beams fast enough for the signal environment. The team innovated a solution: creating regions of interference suppression, instead of targeting individual points of interference, by shaping the side lobes of the beam. The technique faltered slightly in testing because of difficulty in controlling the side lobes, as they're sensitive to small signal changes. However, proper calibration (measuring effects from the instruments and the system to ensure the full signal received and transmitted by the antenna is accounted for) may help.

While key to ensuring a system works correctly, calibration is one of the biggest challenges of operating reflectarrays. Not much precedent exists for calibrating a scanning reflectarray, so the team is researching approaches. All aspects of the reflectarray (e.g., forming and shaping beams) will be improved by calibration, and full usage of the array will require a comprehensive understanding of calibration. Another major area the team is exploring is where reflectarrays can best be used.

"Designing hardware is always a challenge, but figuring out how to fit the technology into a complete and functional system that meets mission needs is the hardest part," Craton says. "We believe scanning reflectarrays have a lot of untapped potential for the missions we care about, but because they have not been used in this space before, a lot of gaps in functionality remain. We need to first build up capabilities for the things that we need to do."

Early studies show that reflectarrays can be used in situations where beams are scheduled, where there is proliferated interference in less-dynamic signal environments (or dynamic signal environments, if you can achieve good calibration), and on power-constrained platforms. Future work will focus on further exploring how reflectarrays can be used, improving calibration procedures, and refining beamforming capabilities.

“Illuminating.” “Spectacular.” “Compelling.” This is how community college students described the two days they spent at MIT.nano learning about the complex tools inside the cleanroom and building and packaging their own functional photonic chips.

“Integrated photonics is an essential part of semiconductor packaging today,” says Anu Agarwal, principal research scientist in the Materials Research Laboratory at MIT. “But there is no single, standardized university curriculum for integrated electronics-photonics packaging. We need to create educational materials to teach this subject across the talent pipeline from K-12 and beyond, which is exactly what we’re doing at the Initiative for Knowledge and Innovation in Manufacturing (IKIM) and MIT.nano.”

As leader of the Lab for Education and Application Prototypes (LEAP) facility located on MIT.nano’s fifth floor, Agarwal stresses the importance of hands-on learning when studying integrated photonics, the science of guiding and manipulating light on a semiconductor chip. Through the Northeast Consortia for Advanced Integrated Silicon Technologies (NCAIST) program, she’s bringing community and four-year college students to MIT.nano for experimental boot camps that teach how to use semiconductor tools for electronic-photonic packaging and testing.

“Having a workforce skilled in resource-efficient semiconductor manufacturing, including electronic-photonic packaging, is critical to maintain the exponential growth of the chip industry and build national security,” says Agarwal. “MIT.nano, through programs like NCAIST, are helping to train more people in STEM.”

Working closely with AIM Photonics, a U.S. Manufacturing Innovation Institute, NCAIST coordinates and accelerates the transition of technician education content and teaching methodologies from key AIM-affiliated U.S. universities to community, technical, and four-year colleges in the Northeast. Through NCAIST, in Massachusetts, the Massachusetts Bay Community College (MBCC) is paired with MIT, North Shore Community College (NSCC) with Stonehill College, and Springfield Technical Community College (STCC) with Western New England University.

“The NCAIST program offers a transformative opportunity for our community college students to experience hands-on training at MIT.nano’s LEAP facility,” says Marina Bograd, professor and chair of the engineering department at MassBay Community College. “For many of them, this is their first time stepping into a cleanroom or seeing semiconductor manufacturing up close. The experience helps open doors that might otherwise feel out of reach, builds confidence, and inspires our students to see themselves pursuing careers in emerging technologies.”

The most recent MIT.nano boot camp, held on May 20-21, expanded participation to include not only those from MBCC, but also students from NSCC, Stonehill College, and SUNY Polytechnic Institute, where NCAIST is headquartered. Twelve students spent two full days at MIT.nano operating a die saw, die bonder, wire bonder, and flip chip tool to build and test a packaged chip.

“I found the combination of hands-on activities, lectures, and informal discussion with the MIT.nano team and fellow students fostered an awesome learning environment,” says Cari Caudill, a student at NSCC. “As a mechanical engineering student, I was most interested in packaging and the machines themselves, so I loved getting direct experience with the tools and discussing with our instructors how procedural and technological development has impacted precision, efficiency, and scalability in the semiconductor industry.”

"The NCAIST boot camp was an exciting and illuminating experience!” adds MassBay Community College student Wyatt Maurer. “I really appreciated getting the chance to work with semiconductor manufacturing tools and to learn about the future of photonics from leaders in the field.”

Students attended lectures on cleanroom safety by Kristofor Payer, assistant director of operations at MIT.nano; electronic-photonic packaging by Agarwal; and photonic integrated circuit sensing by Department of Materials Science and Engineering graduate student Lizzie Gower. They were also offered virtual reality (VR) simulation exercises by Sajan Saini, the director of education at IKIM, to help build intuition about photonic devices and semiconductor packaging tools. These VR simulations serve as a foundational tool to help students visualize photonic devices and complex tool mechanics, as well as run digital process steps and deepen their technical understanding. By bridging physical fabrication with advanced simulation resources, the LEAP students are mastering highly specialized manufacturing, assembly, and testing pipelines required to build the future of electronic-photonic integration.

“The experience at this boot camp not only strengthens our student technical skills, it helps them see themselves as future contributors to a rapidly evolving field,” says Mary Beth Steigerwald, professor and engineering department chair at North Shore Community College. “It also enriches their professional portfolios and gives them a stronger, more compelling story to share during internship and transfer interviews.”

The students will use this training to secure summer internships at hard technology companies. Several have also been accepted to four-year degree programs to continue their education in the fall.

Every summer for the past 13 years, students in MIT’s club dynaMIT have taught STEM principles to Boston-area middle school students at no cost, all in an effort to inspire the next generation of innovators.

In August, dynaMIT will welcome two cohorts of budding scientists and engineers to campus. First, 40 middle schoolers in grades 6–7 will dive into hands-on STEM learning through creative activities like solar s'mores and paper rockets. The following week, another 40 students in grades 8–9 will join in, exploring innovative experiments that spark curiosity and creative problem-solving. Each day, a new topic is covered, exposing attendees to chemistry, machine learning, physics, math, biology, and earth and space science.

Several of the program's attendees have gone on to apply and be accepted to MIT, including the club’s co-director, Dominique Dang. When the Quincy, Massachusetts, native saw the club’s table at the Midway Fair, she knew she wanted to join to give back.

“I didn’t receive a lot of STEM exposure in middle school, but then I saw online about the STEM program offered by dynaMIT, and I was really interested. I had so much fun, and it introduced me to creating things, and not just reading about them in a textbook. I knew I wanted to be a scientist, but I didn’t know what type of science I wanted to study, so having dynaMIT expose me to a different STEM topic each day was a transformative experience,” says Dang, who is now studying computer science and molecular biology.

Megan Zhu, the club’s other co-director, was immediately drawn to the organization’s educational mission. A biology major with plans to pursue an MD/PhD program, Zhu is passionate about advancing science education and aspires to teach at the university level upon completing her degree.

“I happened to stop by the dynaMIT table at the club fair, and it seemed really cool. I spoke to a couple of the club leaders, and they talked about how they help support education in the Boston area. Education has always been something that I was passionate about in my hometown in Rapid City, South Dakota, and I wanted to emphasize giving back to the community,” says Zhu.

Lukeman Nouri, who grew up in Saugus, Massachusetts, attended dynaMIT as a sixth grader. “I barely knew what MIT was, or even what STEM meant, so I wasn't particularly excited to go. However, that changed after the very first day of the program! I remember extracting DNA from a strawberry, making elephant toothpaste, and gathering fingerprints from various surfaces. However, my biggest highlight was learning Scratch and creating my very first game,” says Nouri, who is majoring in computer science and engineering. “After dynaMIT, MIT became my dream college, and I spent the next six years learning more about STEM and MIT.”

Erick Liang, who grew up in Boston’s Chinatown and Roslindale neighborhoods and is now majoring in nuclear science and engineering and physics, had a similar experience after attending dynaMIT. “As a first-generation, low-income student, having a meaningful and engaging program like dynaMIT to participate in over the summer was really important for me. DynaMIT exposed me to different fields of science I had not encountered yet in elementary or middle school and helped spark my interest in STEM,” says Liang.

Zhu says this year they are adding a new activity related to climate change and clean water that they hope will create an interest in these two important areas. “This summer, one of our activities is called Sponge City. It’s about runoff water and clean, reusable water. We’ll have the students build a city that can withstand a storm. They will be given a budget and have to decide how to spend the resources after we pour water all over the tray containing their city — all in an effort to show them how important climate change and clean drinking water are.”

The club is also partnering with the Koch Institute for Integrative Cancer Research at MIT and will tour lab space and work on a fun experiment about cell heterogeneity and cancer tumor formation. Attendees will then be able to talk to scientists and ask them questions.

“I’m looking forward to giving this cohort the same great experience that I had six summers ago. DynaMIT was so much fun, and I learned so much from it that I feel a responsibility to help make it just as impactful for future students,” says Nouri.

Liang adds, “I am excited to return and help set up the plasma demo kits for the program’s physics day!”

“It’s a great full-circle moment,” says Dang. “That’s just one of the reasons why I joined the club.”

“Watching the students work on the activities is always the most rewarding part of the two weeks, and that makes the entire year of planning worth it,” says Zhu, adding, “the club is also an excellent community at MIT.”

Students interested in joining dynaMIT or volunteering for this summer’s program can find more information on the club’s website.

Imagine working at a warehouse or office sometime in the near future, and you’re asked to help a new trainee learn the basics of their job. The catch: It’s a robot. To teach them, you might want to play a game of “show and tell” — that is, physically showing how to do something a few different ways, while also explaining what you’re doing.

Let’s say you asked the robot to place some coffee on your desk without disturbing you during a Zoom call. You’ll prefer that the robot doesn’t get too close to you and the laptop so that it doesn’t interrupt your meeting. To enable this behavior, the robot should be trained with data that clearly demonstrates the full task. Computer scientists have attempted to explain manipulation tasks to robots by recording lots of physical demonstrations or writing extensive directions. But if you don’t have both, the machine is likely to misunderstand what it needs to do.

It’s laborious for humans to do all that showing and telling, so researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have automated the process of teaching a robot, while clarifying instructions automatically and using nearly five times less demonstration data. Their “Masked Inverse Reinforcement Learning” (Masked IRL) approach uses a large language model (LLM) to elaborate on ambiguous prompts based on the data collected from a user’s demo. Another LLM then narrows down which details an algorithm should incorporate into a motion plan, so that a robot can safely complete chores in homes, offices, and factories.

“Our approach could come in handy when a human interacts with a robot but doesn’t want to spell out all the details of a task,” says MIT PhD student and CSAIL researcher Minyoung Hwang, who is a lead author on a paper presenting the project. “We’re minimizing human effort by enabling machines to get to the bottom of what users really want.”

According to Hwang, Masked IRL can help robots safely maneuver in settings where there are elements a human might not describe in a prompt, but that are crucial nonetheless. For example, a machine grabbing you a snack from the kitchen may not know to avoid bumping into your laptop. Likewise, a factory robot placing items into different boxes must carefully navigate around shelves.

To learn new tasks in these situations, Masked IRL uses the robot’s sensors to capture information about its surroundings. These components also log each movement of a kinesthetic demonstration — a training approach where a human physically moves a robot to do a specific action. It’s sort of like being the machine’s physical therapist, bending joints in a particular direction to show a robot how to grab, move, and place objects.

MIT’s system then calls on an LLM to compare this sequence of motions (called a trajectory) to the shortest possible path. The model also elaborates on what might be unclear in a prompt, turning a request like “stay close” into “stay close to the surface of the table.” Using the trajectory comparison and clarified directions, the LLM begins to understand why the motions it was trained on are important to the task. 

A second LLM then evaluates details of the environment, such as the position of obstacles and the shape of the robot’s target object. During this process, it “masks” (in other words, ignores) the elements it deems irrelevant to the task at hand, scoring each one as either a “1” (important) or “0” (not so much). For example, whether or not a user was leaning on a table during a demonstration would be a “0,” making it irrelevant. Any detail considered a “1” is incorporated into the final action plan by an algorithm.

These masks gave Masked IRL a key advantage over comparable baselines in both 3D and real-world demos because it taught a robot which information to prioritize. Thanks to the researchers’ system, virtual and real robots alike were able to skillfully maneuver objects around obstacles, such as moving a coffee mug around a laptop to different spots on a table. In these tasks, Masked IRL correctly identified users’ preferences, which they didn’t explicitly state in their prompts, up to 15 percent more often than comparable baselines.

During simulation experiments, CSAIL researchers also found that Masked IRL was a fast learner. It required fewer demos to understand how to move the mug than its baselines. They also found that the robots performed better when an LLM cleared up instructions, instead of having the machine try to follow a vague request.

This more focused approach also translated well to a real robotic arm, executing prompts the system hadn’t seen during its training phase. After being trained on 50 kinesthetic demonstrations, the robot carefully moved a cup toward a human while avoiding colliding with a user’s computer — an obstacle it learned to avoid by elaborating on a more general request to “stay away.” It also wiped a table down while “staying close” to it, and handed a user a bag of chips while “staying away” from both a human and a table.

Masked IRL senses and explains what users leave unsaid, but soon, it might “see” it too. CSAIL researchers plan to make their approach more dynamic by equipping it with cameras, allowing a robot to take images of its surroundings. Then it could highlight and focus on specific elements nearby. For example, if you asked the machine to pick up a toy, it might see some bananas nearby and ignore them before handling its target object.

Hwang wrote the paper with three CSAIL colleagues: PhD student Alexandra Forsey-Smerek ’20, SM ’22; postdoc Nathaniel Dennler; and MIT Assistant Professor Andreea Bobu, who is a member of the Department of Aeronautics and Astronautics and CSAIL. Their work was supported, in part, by the Tata Group via the MIT Generative AI Impact Consortium Award, and the Department of Defense. They’ll present the project at the 2026 IEEE International Conference on Robotics and Automation in June.

Black holes are often misunderstood to be just that: dark and mysterious voids that are somehow akin to Alice in Wonderland’s mind-bending rabbit hole. 

But rather than a tunnel of nothing, a black hole is actually something — and a lot of it. The densest objects in the universe, black holes exert tremendous gravitational pull, gathering in the surrounding fabric of space and time, and generating huge disks of matter that whirl toward a black hole before falling in, past the point of no return. 

In recent years, as astronomers have been able to train more telescopes on the sky, for longer stretches of time, they have captured a surprising range of black hole behavior.

“It used to be that we didn’t have eyes on systems all the time,” says Erin Kara, an associate professor of physics at MIT. “Now we’re seeing that they can turn on and off at rates that are much faster than we ever thought possible. We see things are getting sucked in toward black holes faster than we thought, perhaps due to stars whipping around and getting trapped in a black hole’s accretion disk.”

Kara and her group in MIT’s Kavli Institute for Astrophysics and Space Research are at the forefront of black hole physics. She is using data from telescopes in space and on the ground to study the properties of black holes, especially supermassive black holes — the ultradense giants at the centers of galaxies. Supermassive black holes are the engines of galaxy formation. Kara, who recently earned tenure at MIT, seeks to connect the extreme physics of black holes with how galaxies such as our own Milky Way come to be.

“It’s amazing that we as humans can know anything about what’s happening billions of light years away,” Kara says. “There’s a lot of new open puzzles about supermassive black holes that I’m excited about.” 

Early impact

Kara was born and raised in Bethlehem, Pennsylvania, as the youngest of four. Her mother was a nurse, and her father a doctor, so it felt only natural for Kara to follow their lead. She set out on a premed track at Barnard College of Columbia University. As part of the program that first year, she took an introductory physics class and was instantly drawn to the subject’s concrete, fundamental descriptions of the physical world, from the quantum to cosmic scales. 

“Physics was always the class that explained things at the ground level,” Kara recalls. “And I thought, wow, this is cool. I have to keep going with this.”

In class, she kept asking questions and wanting to know more. Her professor, astronomer Reshmi Mukherjee, took note and invited Kara to join her research group as a summer intern. The team would be working on new data from a telescope that was readying for launch. That summer, in June 2008, NASA launched the Fermi Gamma-Ray Space Telescope into low-Earth orbit, with the purpose of surveying the sky for sources of gamma rays — high-energy radiation that is produced by black holes, neutron stars, and other extreme astrophysical objects. 

When the telescope started sending back data, Mukherjee assigned Kara a project: to characterize two of the telescope’s unidentified gamma-ray signals. Both signals were bright, and the question was whether they came from nearby, within the Milky Way galaxy, or much further away. If the latter was the case, it would mean the sources were possibly quasars — a type of extremely active supermassive black hole that at the time was a rarity in astronomy observations. 

Kara got to work on the data and soon confirmed that both sources were indeed quasars. 

“It was a small discovery, but it felt awesome,” Kara says. “And I love that about astronomy, that there are so many unanswered questions, and even early on in your career, you can make an impact.”

Needless to say, Kara caught the astronomy bug, and soon opted to switch from premed to physics, though the new path was not always smooth. On Barnard’s all-women’s campus, introductory classes in physics were small, and professors were encouraging and approachable. In contrast, upper-level courses were held at Columbia, where Kara was one of a much larger, co-ed cohort. 

“It’s a very unique experience to be with all women in a physics environment, and then to see how my feelings about my own abilities changed, just based on the environment,” Kara reflects. “I went to Columbia and all of a sudden felt like I couldn’t do this. All these guys were much more confident and outwardly understanding of the material. In the end, I did well there too. And that juxtaposition helped me gain confidence and know, yeah, I belong here.”

Black hole reverb

After graduating with a major in physics and a minor in art history, Kara went abroad, to the Institute of Astronomy at Cambridge University. She earned a scholarship there to pursue a one-year master’s degree in physics, but she ended up staying to complete a PhD on a topic that was just starting to grow roots: black hole X-ray reverberation. 

In 2009, her thesis advisor, Andy Fabian, and his team were looking through archival data from an X-ray telescope and noticed curious time delays in signals coming from around a black hole. They interpreted the signals as X-ray echoes, or reverberations. It was the first evidence of X-ray echoes around a black hole, and it helped to resolve a debate in the field over the source of the radiation. 

Her advisor determined that the reverb was a result of X-rays generated from the black hole’s corona — a crown-shaped aura of high-energy radiation immediately surrounding the black hole — that then bounced, or reverberated, off the swirling disk of gas and dust that circles a black hole, known as an accretion disk. 

“They had only found these echoes in one black hole. But the archive was full of data of these reverberation signals that no one had analyzed in this particular way,” Kara explains. “So I had my whole PhD to kind of play with this archive, and it felt very discovery-driven.”

Since that initial exploration, Kara has worked to advance the study of X-ray reverberation as a technique to map regions around black holes and other extreme astrophysical objects. 

A pivotal disruption

After earning a PhD in physics, Kara returned to the U.S. for postdoctoral work at the University of Maryland and NASA’s Goddard Space Flight Center. She intended to work on data from a new satellite, Hitomi — a Japanese mission that would detect far-off X-rays to help scientists map the large-scale structure and evolution of the universe. After 40 days, the scientists lost control of the satellite, which ultimately began spinning uncontrollably and broke apart in orbit. Before it failed, the telescope sent back one clean signal.

“It got one really good observation, which was unlike any spectrum we had ever seen before,” Kara recalls. 

The data confirmed that the satellite’s detector — a microcalorimeter that was developed at NASA — was sound. That technology is now at the heart of Hitomi’s successor, the X-ray Imaging and Spectroscopy Mission, or XRISM, which has been successfully taking data since its launch in 2023. Today, Kara leads a science group as part of the XRISM mission to analyze X-ray signals from supermassive black holes. 

Back then, however, with the end of Hitomi, she had to pivot. She started working with a new group at NASA Goddard that was gearing up for the launch of another telescope — the Neutron Star Interior Composition Explorer, or NICER. In 2017, the telescope, which was developed and built by MIT researchers, was launched and attached to the International Space Station, where it measured the timing of incoming X-rays from astrophysical sources in deep space. 

The group Kara joined was analyzing NICER data for signs of tidal disruption events, which are instances when a black hole tears apart a nearby star. This was some of her earliest work on these dynamic sources, and she has since incorporated tidal disruption events — and data from NICER — as a main research area. 

At the hub

In 2019, Kara accepted a junior faculty position in MIT’s Department of Physics — a decision that to her was a “no-brainer.” 

“X-ray astronomy has its history at MIT,” Kara says. “Bruno Rossi, Hale Bradt, George Clark, Claude Canizares — it all started here. It was always a place that felt like a hub. And that was the draw.”

Today, she and her students regularly analyze data from various satellites and telescopes such as XRISM and NICER to better understand black holes and how they grow, evolve, and affect the galaxies around them. She continues to advance X-ray reverberation mapping, which has helped scientists map the extreme regions immediately surrounding a black hole. Her group is also studying signals from other extreme X-ray sources, including tidal disruption events, quasiperiodic eruptions, and galactic black hole outbursts. 

Kara also plans to explore data from future observatories, including the Ultraviolet Transiet Astronomy Satellite (ULTRASAT), which will continuously scan the entire sky for hot, ultraviolet sources; and the Laser Interferometer Space Antenna (LISA), a space telescope that will detect low-frequency gravitational waves from sources such as pairs of lopsided, David-and-Goliath black holes. 

And she’s also found time for a bit of black hole fun: In 2022, Kara collaborated with educators and music anthropologists at MIT to convert a black hole’s X-ray echoes to audible sound. As a musician herself — she sings and plays the violin — she was curious how a black hole’s cosmic energy might “sound.” The effect was otherworldly, to say the least. 

“One of the reasons that I love black holes is that they are very extreme, and feel very sci-fi crazy, and things don’t make sense, and physics breaks down around them. And at the same time, they’re super foundational to even why we’re here,” Kara says. “For reasons we don’t fully understand, the distribution of stars and gas and dust in a galaxy is dictated in part by the supermassive black hole at its center. Our sun is one of those stars. It’s all intertwined. And untangling some of that is what motivates me.”

Over the past 80 years, America’s bold, sustained investment in scientific research, and the discoveries, ideas and innovations that flowed from it made America a world leader. The nation’s scientific leadership has been essential to our shared prosperity and national security, and delivered real benefits for all Americans.

On June 16, Scientific American released a special section, “The Young American Scientists,” which celebrates early-career professionals actively engaged in scientific research, and features commentary from MIT faculty on why they continue to be so devoted to curiosity-driven science, demonstrating how their hard work and dedication make Americans safer, healthier, and more prosperous. Among the section’s profiles are many MIT faculty, students, and alumni, who share their advice for young scientists and their reasons for optimism in uncertain times.

President Sally Kornbluth emphasizes the importance of curiosity-driven research, noting that discovery “is part of our American DNA and has yielded vast returns to the citizens of this country and the world.” She adds, “what’s needed is a rededication to public investment in American science. Even if I were not the leader of a premier scientific institution, this is what I’d say. Investing in American science is not a gamble; if you look back in time, there is no question about the benefits.”

Adds Institute Prof. Robert Langer: “What American science has done over the past 50, 100 years has been remarkable.”

Scientific American notes that at MIT, that commitment to discovery is reflected in initiatives such as Curiosity on a Mission and the Generative AI Impact Consortium, which are aimed at finding “solutions to real-world problems in a way that is beneficial to society.” “On one hand, we’re at a time, technologically, where things could not be more exciting [and] our science [could not be] more cutting-edge. At the same time, we’ve never seen a situation where people felt so uncertain about the continuity of science funding, particularly when it comes to the basic discovery science that fuels the economy and will fuel societal impact a decade or two from now,” says Kornbluth.

The first sparks

Witnessing invention can spark a lifelong fascination with science. After the launch of Sputnik, the world’s first artificial satellite, Prof. Alan Lightman “became entranced with the idea of building a rocket” of his own. In his essay “My childhood in science,” Lightman describes how these early scientific memories and experiments have shaped him to be a well-rounded writer and physicist.

“Now more than ever, when much of the world, including the U.S., has lost its moral compass, leading to a dog-eat-dog mentality, we need science combined with literature, philosophy, history and art. We need to discover not only the physical world but also our own humanity,” writes Lightman.

Likewise, Prof. John Urschel, a former NFL player, emphasizes the importance of collaboration and having a wide range of interests. 

“A lot of good research happens when people can draw on tools, techniques and insights from different areas, disciplines and even fields. I hope we can encourage promising young scientists to establish strong, broad backgrounds and to communicate frequently with those outside their particular areas,” says Urschel.

Invention and discovery

Scientific American highlights students and alumni looking to better the world by doing everything from investigating neurological disease to securing our energy future. 

At MIT, Visiting Scientist Alice Stanton developed miBrain, a 3D tissue model of the human brain, to help scientists develop personalized treatments for Alzheimer’s and Parkinson’s. Stanton has developed a miniature version of miBrain, a brain-on-a-chip, to better test therapeutics.

Stanton notes “the road to effective treatments is long and bumpy,” compounded by cuts to federal funding. “When we have a loved one who gets sick, we want a treatment—we want something to cure them. It doesn’t come out of thin air,” she explains.

Bob Mumgaard PhD ‘08, CEO of Commonwealth Fusion Systems is working to commercialize fusion power. “Whether in areas such as fusion—or in drugs by design for diseases such as Alzheimer’s and Parkinson’s or in [the creation of] materials we never thought possible—our ability to use new tools to tackle some of these big, meaty problems is super exciting,” Mumgaard emphasizes. 

Graduate student Alex Zhang tackles context rot: the phenomenon when AI language models degrade as they produce more information. To solve this issue, Zhang develops recursive language models (RLMs) that enable the model to work with itself to reevaluate reasoning.

“The types of research that I want to work on are things that I think should be shared for the benefit of people in general,” says Zhang. 

The benefits of scientific collaboration 

What happens when scientific disciplines join forces at MIT?

Prof. Emery Brown highlighted the MIT Health and Life Sciences Collaborative (HEALS), noting that the effort brings together scientists and engineers from a variety of backgrounds to tackle the most pressing health challenges of our times.  

Brown explains that with President Kornbluth’s support, HEALS encourages “faculty to look more deeply into solving health care problems. The enthusiasm for HEALS has been contagious across the campus.”  

MIT alumna Lucy Jones PhD ‘81, who is known for her work advancing public safety during earthquakes and for developing the first American earthquake drill called the Great ShakeOut, shared the necessity of collaboration in developing scientific solutions for pressing real-world problems.

 “Solutions have to be done in collaboration, which means spending time with policymakers,” says Jones. 

Jones also shares how scientific advances in computing have helped make Americans around the country safer when the ground starts to shake.

“My first year in grad school, I was reading paper seismograms. Now everything is computerized. We used to do field deployments; now we have permanent networks. We’re starting to use fiber‑optic cables as seismometers,” says Jones. “Computers have changed everything, including science.”

The state of American science 

Within the profiles, interviewees were asked what needs to change in American science right now. Many expressed concerns with federal funding. 

“I’m fortunate to work with extraordinary students and postdocs, but the infrastructure that lets them do their best work is under real stress: funding instability at the National Institutes of Health and the National Science Foundation, immigration uncertainty for international scientists and an erosion of public trust in expertise,” says Prof. Feng Zhang.

Zhang developed CRISPR-based genome editing tools, which could increase our understanding human diseases and lead to new treatments. “We can lose the lead rapidly if we do not protect our innovation ecosystem,” he says.

Positive developments include the progress Prof. Alan Guth has witnessed in cosmology. 

“With new techniques, we’re able to unravel, to make sense out of, what we’re observing,” says Guth. “A lot of progress has been made on those lines, so in terms of the physics of the field, I think things are going great. But to me, the real problem is the prospects for future funding.”

Langer shares his faith in the durability and strength of America’s science and innovation ecosystem. 

“I look at the history of American innovation and education over the past 250 years, and it’s been spectacular,” says Langer. “Plenty of times there’ve been setbacks. We’ve had world wars, you know, we’ve had depressions, and people keep persisting and keep learning. They keep discovering and they keep inventing. So that gives me a lot of cause for hope. This is not the worst time by any means.”

Summer is the perfect time to curl up with a good book — and MIT authors have had much to offer in the past year. The following titles represent a selection of books published in the past 12 months by MIT faculty and staff.

Looking for more literary works from the MIT community? Enjoy our book lists from 2025,  2024, 2023, 2022, and 2021.

Happy reading!

Fiction and poetry

“We (the People of the United States)” (Penguin Books, 2026)
By Joshua Bennett, the Distinguished Chair of the Humanities at MIT and professor of literature

Bennett marks the 250th anniversary of the founding of the U.S. with a book-length work of poetry about the country and some of its distinctive figures. The piece features remarkable people or inventions from each of the 50 states, meditating on their place in the nation’s cultural fabric.

“The Race for Daphne” (Finishing Line Press, 2026)
By Sarah C. Beckmann, communications and marketing associate in the MIT Media Lab

A poetry collection structured as a crew race exploring girlhood, womanhood, and motherhood through the experiences of a rower and writer. These poems subvert the historical dominance of male heroes by celebrating ordinary female heroism, while examining love, home, and what it means to be an American woman today.

“Jezelle: Thief of Forks” (Self-published, 2026)
By Scott Austin Tirrell, director of administration and finance in the Art, Technology, and Culture Program

Abandoned by her father and raised by the streets of Grafton Notch, Jezelle survives by trusting no one. When a strange magic awakens within her, it offers more than escape — it offers power. But in a city that preys on broken children, power makes her valuable, dangerous, and hunted. To claim the life stolen from her, Jezelle must decide what she is willing to become.

Science and Engineering

“Phenomenal Moments: Revealing the Hidden Science Around Us” (Candlewick Press, 2025)
By Felice Frankel, research scientist in the Department of Chemical Engineering

Enlisting readers to “be the scientist” through vivid fine-art photographs, science photographer Felice Frankel zooms in and out on beautiful and brilliant moments all around us to reveal the chemical, natural, or physical processes — from viscosity and venation to chlorophyll and capillary action — behind scientific phenomena.

“Syntax: A Cognitive Approach” (MIT Press, 2025)
By Edward A. F. Gibson, professor of brain and cognitive sciences

This book lays out the grammar of a language from the perspective of a cognitive scientist, outlining the components of language structure and the model of syntax that Gibson advocates: dependency grammar, in which a word is connected to another word via a dependency arc to form a larger compositional meaning. This formalism can explain numerous aspects of word order universals across languages.

“Birds Up Close: An Engineer Explores Their Hidden Wonders” (MIT Press, 2026)
By Lorna J. Gibson, professor post-tenure in the Department of Materials Science and Engineering 

A renowned engineer and lifelong birder, Gibson explores the hidden microscopic structures and engineering principles that keep birds aloft and alive — how an egg forms, how a bird generates lift, how woodpeckers safely drill their holes, and much more. She also considers the longer view of birds in their habitats and natural history. Her up-close look at avian mysteries provides a perspective like no other, for the expert ornithologist and curious observer alike.

“Carbon Renewal” (MIT Press, 2025)
By Howard J. Herzog, senior research engineer at the MIT Energy Initiative, and Niall Mac Dowell

In “Carbon Renewal,” Herzog and MacDowell discuss how technology and policy can come together to help us reach “net-zero” climate targets. The authors explore the rapidly evolving world of carbon dioxide removal (CDR), presenting the technological pathways of enhancing the land sink, biomass-based carbon capture and storage, engineered removal methods, and ocean-based carbon removal. They also discuss barriers facing CDR as well as ethical implications of this process. 

“Climate Change, Drinking Water Security, and Public Health: Global Challenges and Solutions” (Springer Nature, 2026)
Chapters by Libby Hsu, associate director of academics at MIT D-Lab

In her chapter, “Drinking Water Status Around the World and Its Effect on Health,” Hsu discusses the Earth’s water resources, which are found in a variety of settings. In her chapter, “Waterless and Low-Water Sanitation Technologies that Improve Quality of Life and Conserve Water Resources,” she shares her experience with sanitation challenges in the Global South and how that has reinforced the value of waterless and low-water sanitation technologies that are suitable for scaling around the world.

“A Pox on Fools: The True Believers, Grifters, and Cynics Who Convinced Us to Reject Vaccines” (Penguin Random House, 2026)
By Thomas Levenson, professor of science writing in MIT Comparative Media Studies/Writing

In his latest book, Levenson searches for the origins of the most common arguments against vaccines: that they are unnatural; that they are more dangerous than the illnesses they claim to prevent; and that they are an affront to freedom. “A Pox on Fools” explores the human impulse to question and wonder — sometimes past the point at which the very act of questioning turns deadly.

“The Shape of Wonder: How Scientists Think, Work, and Live” (Penguin Random House, 2025)
By Alan Lightman, professor of the practice of the humanities in MIT Comparative Media Studies/Writing, and Martin Rees

Lightman and Rees pull back the curtain on the field of science, revealing that scientists are driven by the same sense of curiosity, wonder, and responsibility toward a future that shapes us all. They guide us through the fascinating lives and minds of scientists around the world and throughout time, and provide an inside peek at what makes scientists tick — their daily lives, passions, and concerns about the societies they live in.

“Uncertainty in Climate Change Research: An Integrated Approach” (Springer Nature, 2025)
Chapter by Jennifer Morris, principal research scientist at the MIT Center for Sustainability Science and Strategy and the MIT Energy Initiative, and John Reilly, senior lecturer in the MIT Sloan School of Management

Understanding future emissions scenarios is essential for preparing for climate change. The chapter “Emissions and Concentration Scenarios” examines how socioeconomic uncertainty contributes to overall climate change projections, and identifies key drivers of greenhouse gas emissions. It reviews the history of emissions scenarios and compares various approaches, including IPCC methods and formal uncertainty analysis techniques. The chapter concludes with lessons learned from over 40 years of socioeconomic scenario development for climate research.

“The Headache: The Science of a Most Confounding Affliction — and a Search for Relief” (Harper Collins, 2025)
By Tom Zeller Jr., managing editor of Undark, published by the Knight Science Journalism Program at MIT

From blinding migraines to severe headache disorders known as “clusters,” chronic head pain affects 40 percent of the population, many of them suffering in silence. Finally, “The Headache” reveals the science behind a group of disorders that is as much a curse as a cultural punchline, and leads to key insights into the nature of pain itself. Guided by his own decades-long struggle with cluster headaches, Zeller’s journey into headache science is at once intimate and panoramic.

Culture, humanities, and social sciences

“The People Can Fly: American Promise, Black Prodigies, and the Greatest Miracle of All Time” (Little, Brown, and Company, 2026)
By Joshua Bennett, the Distinguished Chair of the Humanities at MIT and professor of literature

In this work, Bennett offers a series of profiles, carefully wrought to see how some prominent figures were able to flourish from childhood forward. He closely reads their works for indications about how they understood the shape of their own lives. In so doing, Bennett underscores the significance of the social settings that prodigious talents grow up in. He also offers reflections on his own career trajectory and encounters with these artists, driving home their influence and meaning.

“Thinking Historically: A Guide to Statecraft and Strategy” (Yale University Press, 2025)
By Francis J. Gavin, research affiliate of the MIT Security Studies Program 

It seems obvious that we should use history to improve policy. If we have a good understanding of the past, it should enable better decisions in the present, especially in the highly consequential worlds of statecraft and strategy. But how do we gain that knowledge? How should history be used? In this book, Gavin explains the many ways historical knowledge can help us understand and navigate the complex, often confusing world around us. 

“The Economic Consequences of the Second Trump Administration: A Preliminary Assessment” (Centre for Economic Policy Research, 2025)
Edited by Gary Gensler, professor of the practice of global economics and management and finance in the MIT Sloan School of Management; Simon Johnson, the Ronald A. Kurtz (1954) Professor of Entrepreneurship and professor of global economics and management at MIT Sloan; Ugo Panizza; and Beatrice Weder di Mauro

How might the economic and geopolitical positions of the Trump administration affect growth, trade, investment, inflation, stability, and the role of the U.S. dollar? This volume offers evidence-based, expert analysis to help decision makers understand the impact of tariffs, breaks in global alliances, government downsizing, deregulation, threats to the rule of law, and more.

“The Colony and the Company: Haiti after the Mississippi Bubble” (Princeton University Press, 2025)
By Malick W. Ghachem, professor of history

Many things account for Haiti’s modern troubles. A good perspective on them comes from going back in time to 1715 or so — and grappling with a far-flung narrative involving the French monarchy, a financial speculator named John Law, and a stock-market crash called the “Mississippi Bubble.” In "The Colony and the Company," Ghachem examines the economic transformations and multi-sided power struggles of that time.

“Retrench, Defend, Compete: Securing America’s Future Against a Rising China” (Cornell University Press, 2025)
By Charles L. Glaser, senior fellow in the MIT Security Studies Program 

Many believe China’s ascent will drive it to war with the United States. Yet this is far from inevitable; geography and nuclear weapons should ensure U.S. security. The real danger, Glaser contends, lies in East Asia’s territorial disputes, especially over Taiwan. To reduce the risk of war, Glaser makes a bold case for ending U.S. security commitments to Taiwan and carefully calibrating its policies on protecting South China Sea maritime features. 

“Trade in War: Economic Cooperation Across Enemy Lines” (Cornell University Press, 2025)
By Mariya Grinberg, associate professor of political science and MIT Security Studies Program affiliate

“Trade in War” is an urgent, insightful study of a puzzling wartime phenomenon: states doing business with their enemies. To explain why states trade with their enemies, Grinberg examines the wartime commercial policies of major powers during the Crimean War, the two World Wars, and several post-1989 wars.

“Constructing Economic Nationalisms in Brazil and India” (Cambridge University Press, 2026)
By Jason Jackson, associate professor in political economy and urban planning in the Department of Urban Studies and Planning

Conventional approaches cite India’s leftist “socialism” and Brazil’s right-wing authoritarianism to explain why India resisted foreign direct investment (FDI) while Brazil welcomed foreign firms. However, this ignores puzzling industry-level variation: India restricted FDI in auto manufacturing but allowed multinationals in oil, while Brazil welcomed foreign auto companies but prohibited FDI in oil. This book argues that FDI policies were shaped by contrasting colonial experiences that generated distinct economic nationalisms and patterns of industrialization in both countries. 

“Traders, Speculators, and Captains of Industry: How Capitalist Legitimacy Shaped Foreign Investment Policy in India” (Harvard University Press, 2025)
By Jason Jackson, associate professor in political economy and urban planning in the Department of Urban Studies and Planning

Is foreign capital an agent of economic growth in developing countries or a vehicle of extraction? Examining how Indian elites wrestled with this question in the late colonial and postcolonial periods, Jackson argues that it reflects a false binary. Instead of simply choosing between domestic and foreign capital, Indian policymakers have long considered the business ethics of individual firms. Indian economic nationalism, in other words, has never been characterized by a straightforward preference for domestic over foreign capital.

“The Handbook of Social Protection: Evidence and New Directions for Low- and Middle-Income Countries” (MIT Press, 2026)
Edited by Benjamin A. Olken, the TEPCO Professor of Economics in the Department of Economics, and Rema Hanna

Over the past several decades, social protection programs that provide financial assistance to the poor and insure against shocks for the vulnerable have become widespread in low- and middle-income countries. These programs can play a critical role in society. This book provides an overview of what we know about the differing aspects of social protection and highlights the open questions for research for the future. 

“Argumentation: The Key Concepts” (Routledge, 2026)
By Edward Schiappa, the John E. Burchard Professor of Humanities in MIT Comparative Media Studies/Writing

In this book, Schiappa delves into the identification and analysis of fallacies, the evaluation of evidence, and the crucial roles of context, audience adaptation, and argumentative style. It explores the ethical dimensions of argument, the impact of cognitive bias, and the influence of cultural and discourse communities.

“American Independence in verse” (Pentameter Press, 2025)
By Brad Skow, the Laurence S. Rockefeller Professor in the Department of Linguistics and Philosophy

“American Independence in verse,” published by Pentameter Press, traces a story of America’s origins through a collection of vignettes featuring some well-known characters, like politician and orator Patrick Henry, alongside some lesser-known but no less important ones, like royalist and former chief justice of North Carolina Martin Howard. Each is rendered in blank verse, a nursery-style rhyme, or free verse.

“Rwanda’s Genocide Heritage: Between Justice and Sovereignty” (Duke University Press, 2025)
By Delia Wendel, associate professor of urban studies and international development in the Department of Urban Studies and Planning

Drawing from oral histories and a visual archive of memory work after the 1994 genocide in Rwanda, Wendel explores the human rights and government priorities that preserved killing sites and victims’ remains for public display. Rwanda’s genocide memorials exemplify a global phenomenon that Wendel terms “trauma heritage,” wherein hidden or unrecognized violence is made visible in public space to demand justice and recognition. Wendel argues that trauma heritage innovates on the form histories take by “writing” them into landscapes, constituting a reparative historiography from the Global South. 

Technology and society 

“Computing in the Age of Decolonization: India’s Lost Technological Revolution” (Princeton University Press, 2026)
By Dwaipayan Banerjee, associate professor of science, technology, and society

In this book, Banerjee examines India’s pursuit of technological self-sufficiency, and the global forces that prevailed against this vision. He describes why the nation is “the world’s leading provider of inexpensive outsourcing and offshoring services, yet enjoys minimal benefits from more profitable advances in research, manufacturing, and development.”

“Auditing AI” (MIT Press, 2026)
By Karrie G. Karahalios, professor of media arts and sciences at the MIT Media Lab; Marc Aidinoff PhD ’22; Nathan Matias SM ’13, PhD ’17; Christian Sandvig; Alondra Nelson; Kristen Vaccaro; Esha Bhandari; Ellery Roberts Biddle; Lena Armstrong; Motahhare Eslami; and Danaé Metaxa

This book serves as a first-of-its-kind roadmap for auditing artificial intelligence systems to prevent decision-making failures in health care, policing, and employment. Using canonical examples of AI gone wrong — from misidentified facial recognition to biased hiring algorithms — this book explains why robust audits are essential and how they drive concrete policy and corporate change.

“Shape Computation: Fifty Years, 1972-2022” (Springer Nature, 2025)
Edited by Sotirios Kotsopoulos SM ’00, PhD ’05, a research affiliate in the Department of Architecture, with a chapter by Terry W. Knight, the William and Emma Rogers Professor of Design and Computation in the Department of Architecture

This book provides a panorama of “shape computation” and “shape grammars,” a computational theory that has, from its inception 50 years ago, been directed toward the “how” of design. Knight’s chapter, “How is that? Computing the Temporality of Drawing,” describes how process and time are key to studying, appreciating, designing, and making things. She notes that in creative production it is not only important to ask, “What is that?” but also “How is that?” — in other words, how did or how can a thing come to be? As a process carried out over time, computation offers a means for rethinking, representing, and elevating the “how” in designing and making activities. 

“The Remote Revolution: Drones and Modern Statecraft” (Cornell University Press, 2025)
By Erik Lin-Greenberg, associate professor in the Department of Political Science

In “The Remote Revolution,” Erik Lin-Greenberg shows that drones are rewriting the rules of international security — but not in ways one would expect. Leveraging diverse types of evidence from original wargames, survey experiments, and cases of U.S. and Israeli drone operations, Lin-Greenberg explores how drone operations lower risks of escalation. 

“The Comedy of Computation: Or, How I Learned to Stop Worrying and Love Obsolescence” (Stanford University Press, 2025)
By Benjamin Mangrum, associate professor of literature

We often deal with our doubts and fears about computing through humor, whether reconciling ourselves to machines or critiquing them. In fact, this dynamic turns up throughout modern culture, in movies, television, fiction, and the theater. Mangrum analyzes this phenomenon in “The Comedy of Computation,” digging into several facets of modern culture and technology.

“Rubrique Technologie / Tech Section” (Printed Matter, 2026)
By Nick Montfort, professor of digital media in MIT Comparative Media Studies/Writing, and Patsy Baudoin

This work is based on a text generator that produces French and English news items that imagine some of the ways technology will impact us in the near future. Most of the generated news involves people getting struck by autonomous vehicles or even aircraft. Others describe labor disputes, hostile takeover attempts, inventions, and the termination of online services. What is imagined in “RT/TS” is not apocalyptic or discontinuous but actually features many of the same problems we face today; the methods of producing the texts are today’s as well.

“Shared Wisdom: Cultural Evolution in the Age of AI” (MIT Press, 2025)
By Alex “Sandy” Pentland, the Toshiba Professor of Media Arts and Sciences and professor of information technology in the MIT Media Lab

How can we build a flourishing society by using human nature to design technology rather than letting technology shape society? Pentland explores how cultural inventions — from civilizations to the Enlightenment — accelerated innovation and collective wisdom. He argues that understanding these key factors in cultural evolution is essential for solving global challenges like climate change and pandemics, and shows how AI and digital media can aid rather than replace human deliberation.

“Priority Technologies: Ensuring US Security and Shared Prosperity” (MIT Press, 2026)
Edited by Elisabeth B. Reynolds, professor of the practice of urban studies and planning, with a foreword by Simon Johnson, the Ronald A. Kurtz (1954) Professor of Entrepreneurship and professor of global economics and management

A new world order is emerging, and within it, U.S. priorities are shifting. For the country to flourish as well as defend and secure its interests, it must build on its decades of experience in developing frontier technologies and globally competitive industries through investments into priority technologies for the 21st century. This volume presents an introduction to some of the key areas where the U.S. must lead in order to ensure both national and economic security: critical minerals, semiconductors, biomanufacturing, quantum computing, drones, and advanced manufacturing.

Education, work, finance, and social impact

“The Meritocracy Paradox: Where Talent Management Strategies Go Wrong and How to Fix Them” (Columbia University Press, 2025)
By Emilio J. Castilla, the NTU Professor of Management and professor of work and organization studies in the MIT Sloan School of Management

Organizations often hail meritocracy as a fair and efficient way to identify, advance, and reward talent. But efforts to create a level playing field can be held back by talent management systems that confer rewards based on individual performance evaluations. In practice, these merit-based systems “may actually reinforce or create advantages for certain groups,” Castilla contends.

“The Art of Monetary Policy: Lessons from Sun Tzu for Central Banks” (MIT Press, 2026)
By Kristin J. Forbes, the Jerome and Dorothy Lemelson Professor of Management and professor of global economics and management in the MIT Sloan School of Management

Central banks are navigating a world of higher debt, tightly interconnected markets, and rising geopolitical tensions. How might they respond effectively? In “The Art of Monetary Policy,” Forbes draws on the writings of Chinese military strategist Sun Tzu to suggest modern principles for central banks, including preparing for the next financial battle, establishing a strong tactical position, combining weapons and methods, and modifying and varying tactics to maintain flexibility.

“Launching from the Lab: Building a Deep-Tech Startup” (MIT Press, 2026)
By Lita Nelsen, former director of the MIT Technology Licensing Office, and Maureen Stancik Boyce, mentor for the MIT Sandbox program

“Launching from the Lab” provides a much-needed framework for new entrepreneurs who are founding companies based on “deep technology” — groundbreaking innovations rising from new discoveries in fundamental research. Nelsen and Stancik Boyce cover the steps to launch and fund such companies, beginning with emergence from the laboratory and acquiring intellectual property through the intensive research of customer needs, building a team, and raising capital.

“There’s Got to Be a Better Way: How to Deliver Results and Get Rid of the Stuff That Gets in the Way of Real Work” (Hachette, 2025)
By Nelson Repenning, professor of management, and Donald Kieffer

The chaos of everyday business forces people into an exhausting, ineffective, seemingly never-ending cycle of work-arounds, firefighting, and Whac-a-Mole. The irritatingly urgent crowds out the lastingly important. In this book, Repenning and Kieffer describe the game-changing discipline of dynamic work design, which improves productivity, reduces costs, and increases efficiency, ensuring that all parts of a company can work in concert.

“Bayesian Entrepreneurship” (MIT Press, 2026)
Edited by Erin L. Scott, senior lecturer of technological innovation, entrepreneurship, and strategic management in the MIT Sloan School of Management; and Scott Stern, the David Sarnoff Professor of Management of Technology and professor of technological innovation, entrepreneurship, and strategic management at MIT Sloan

This edited volume introduces and explores the concept of Bayesian entrepreneurship, a novel framework for understanding entrepreneurial decision-making under uncertainty. It brings together contributions from leading scholars to examine how entrepreneurs form beliefs about opportunities, learn through experimentation, and make strategic decisions.

“Disciplined Entrepreneurship for Climate and Energy Ventures: 24 Steps to Build Solutions for People and the Planet” (Wiley, 2025)
By Ben Soltoff, entrepreneur in residence at MIT Sloan; Bill Aulet, Ethernet Inventors Professor of the Practice; Tod Hynes, senior lecturer of climate and energy ventures; Francis O’Sullivan, senior lecturer in technological innovation, entrepreneurship, and strategic management; and Libby Wayman, senior lecturer of climate and energy ventures

Climate and energy entrepreneurs face challenges that traditional startup playbooks don’t address. Their ventures can require massive capital and take years to reach market, all while striving to achieve a positive impact on people, planet, and profit. This book adapts the MIT-born “Disciplined Entrepreneurship” framework specifically for climate and energy ventures, recognizing that founders in this space need their own approach.

Arts and design, architecture, urban studies and planning

“Tiny Gardens Everywhere: The Past, Present, and Future of the Self-Provisioning City” (W.W. Norton, 2026)
By Kate Brown, the Thomas M. Siebel Distinguished Professor in History of Science

Nurturing health, hope, and community, gardeners in cities and suburbs are reclaiming lost commons, transforming vacant lots into vibrant plots, turning waste into compost, and recreating what was once the most productive agriculture in recorded human history. In a book with global scope, ranging from Estonia to Amsterdam and Washington, Brown contends that urban gardening has many positive spillover effects, from health and environmental benefits to community-building — apart from periods of pushback when others are trying to eliminate it.

“Small-Town Renaissance: Bridging Technology, Heritage, and Planning in Shrinking Italy” (Springer Nature, 2025)
Edited by Brent D. Ryan, vice provost and professor of urban design and public policy in the Department of Urban Studies and Planning; Carmelo Ignaccolo PhD ’24; and Giovanna Fossa

This book explores the transformative power of digitization in rural regions — where technology isn’t just a tool, but a lifeline for local culture, economic resilience, and future development. Born from a unique research collaboration between the MIT and Politecnico di Milano, this book brings together scholarly work on shrinking towns, economic development, and digital innovation. The project tackled some of the most pressing challenges facing rural Italy — from population decline to economic stagnation — through the lens of digital transformation. 

“Blanking: An Annotated Archive of Projects and Thoughts on Architecture” (Park Books / University of Chicago Press, 2026)
By Rosalyn Shieh, assistant professor in the Department of Architecture, and Troy Schaum

Based on the work and vision of their architecture firm Schaum/Shieh, this book shares what is said and what can be heard in a studio. So much of architectural thinking and knowledge is presented, formulated, and traded in spoken words: pinups, meetings, walkthroughs. Those exchanges inform this book, in which ideas and knowledge that are usually only spoken are made accessible to readers.

“Design Before Disaster: Japan’s Culture of Preparedness” (University of Virginia Press, 2026)
By Miho Mazereeuw, associate professor in the departments of Architecture and Urban Studies and Planning

Few countries have faced as many environmental disasters as Japan, which has endured typhoons, cyclones, floods, earthquakes, volcanic eruptions, and tsunamis. Japanese residents have responded to their precarious circumstances by developing a unique culture of disaster preparedness, equipping the island nation to plan for future emergencies and to greatly reduce their impact. Mazereeuw offers a detailed framework to design and prepare for anticipated disasters and describes effective interventions in urban landscape and architecture. 

“Reconstruction as Violence in Assad’s Syria” (American University in Cairo Press, 2025)
Edited by Nasser Rabbat, professor of architecture and director of the Aga Khan Program for Islamic Architecture at MIT, and Deen Sharp, with a foreword by Hashim Sarkis, dean of the MIT School of Architecture and Planning

This book delves into the complex interplay of post-conflict reconstruction in Syria, challenging the traditionally held dichotomy between the end of violence and the commencement of rebuilding. The contributors to this volume — architects, urbanists, geographers, and historians — employ critical concepts such as urbicide, domicide, and “civilian crisis architecture” to argue against the conventional theoretical frameworks that support a neat separation of phases.

Could the precise architectural form of your residence influence how much you participate in politics? 

A new study by MIT scholars finds this to be exactly the case — at least in Accra, Ghana, where many people live in semi-communal structures known as “compound houses,” often sharing kitchens, bathrooms, and common living-room spaces, while having private bedrooms.

The detailed study of homes in Ghana’s capital finds that residents of compound houses are more likely to vote, attend rallies, and take part in political campaigns, compared to people with more private forms of housing. 

“The overarching pattern we find is that if you compare people who live in compound houses to residents of other housing types, like single-family homes or self-contained apartments, there is a pretty big difference in political actions,” says Noah Nathan, an MIT political scientist and co-author of a newly published paper detailing the study’s results. “People seem to vote more, and there are more other types of political behavior, like going to rallies, participating in campaigns, and contacting politicians.”

While those differences could stem from factors other than housing, the highly granular study suggests the architecture itself really matters. The researchers examined the specific floor plans of compound houses and found variations in people’s political information and social connections — key factors that existing studies show predict political activity — that map to differences in where people live within compound houses.

“We show that those kinds of social relationships and exchanges of political information seem to vary systematically with people’s individual locations within the layouts of the buildings they live in,” says Nathan, an associate professor in MIT’s Department of Political Science. “That’s consistent with architectural design leading you to have different levels of political participation.”

The open-access paper, “Vernacular Architecture and Grassroots Urban Politics: How Politics Is Embedded in Residential Design,” appears in the American Political Science Review. Nathan’s co-author is Paige Bollen PhD ’23, an assistant professor of political science at Ohio State University.

Compound effects

Compound houses are a common form of residence in Ghana, much of West Africa, and some other parts of the world. They tend to house lower-income people who construct them out of inexpensive local materials. Trying to understand their effects is part of taking seriously the idea that place, and space, influence how people live. 

“Rather than just thinking of cities as big agglomerations of people, we should evaluate cities through their actual built forms and designs,” Nathan says. “Space affects politics because people interact with each other in space. It’s not just that people are near each other, but the designs force them to interact or talk in ways that affect how information is exchanged and how social networks form, and that can aggregate up into politics in terms of action and cooperation.”

To conduct the study, Nathan and Bollen used three forms of data to draw out the effects of compound houses on politics. Through pre-existing administrative and electoral data, they first show that polling stations in neighborhoods with a high proportion of compound houses have better electoral turnout than neighborhoods with fewer compound houses. And from existing national survey data, the researchers determined that residents of compound houses actively participate in politics more often. 

The researchers then conducted an original research survey of 1,272 residents in 391 compound houses in 30 neighborhoods of Accra, combined with mapping that showed the layout of those compound houses and where the survey participants lived within each one. In this way, they showed the effects of compound houses more precisely: Living in parts of them with especially high exposure to other people actually increases the amount of social network ties people report, as well as the amount of political information they obtain.

Quantitatively, changes in the centrality of people’s locations within compound houses seem to make a bigger difference in political engagement than other fundamental non-housing factors, such as changes in employment or measures of socioeconomic status. 

“We leverage that variation to show that even within compound houses, the people with more exposures to neighbors have different social network ties and different forms of information than neighbors who live in more private locations,” Nathan notes. 

Encouraging participation

As the scholars discuss in the paper, the effects of architecture on civic involvement are hardly immutable, but likely depend very much on the type of political state in question. 

“We think under different conditions, this kind of architecture could have different effects,” Nathan says. “If you live in an authoritarian regime with an active police state, inhabiting an architecture in which you’re constantly on display to your neighbors is probably going to have the exact opposite implications from what we find in the study.”

However, he adds, since Ghana has a generally healthy democracy and is not a repressive state, “In this context, where there are not such high costs to participating in politics, we think these effects are going to break in the direction of more political participation.”

The study itself is an outgrowth of long-running, overlapping research interests on the part of Nathan and Bollen. Nathan is currently developing a book project about urban form, architecture, and politics both in Ghana, where he has conducted research for many years, and in other cities across the African continent. Bollen conducted her PhD research at MIT on public spaces, interactions, and political dynamics in Ghana and South Africa; her advisor was MIT Professor Evan Lieberman.

Sociologists, management experts, architects, and planners have all studied the effects of building design on human behavior, but have often focused on issues such as workplace productivity. Some political scientists, including MIT Associate Professor Bernardo Zacka, have also highlighted the salience of architecture to politics. But few political scientists have undertaken quantitative empirical studies of the subject. If they do, Nathan thinks, the results might surprise some people. 

“There’s a famous idea that cities can be anonymizing,” Nathan says. “I think that’s actually not true. When you go to urban Ghana, people know each other, and there is a great deal of social capital and social connections. And I think part of the reason is that many people live in architectures that are not anonymizing.”

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools to tackle complicated tasks, like analyzing a video and answering questions about it.

But the way these highly fragmented systems are designed and deployed often causes inefficiencies that can lead to wasted computation, energy, and cost. 

To improve efficiency, researchers from MIT and Microsoft developed an intelligent system that streamlines the process of designing agentic workflows and automatically optimizes how those workflows are implemented. 

With this new method, a developer can describe what they want the agentic workflow to do in plain language, without needing to specify all the details of their application in advance. 

The system automatically figures out the best models and tools to use, as well as the ideal hardware configuration and computational resource allocation when the workflow is executed by a cloud provider.

It adjusts those configurations on the fly based on each user’s priorities, such as minimizing costs or maximizing speed.

When tested on several agentic workloads, this new system reduced the number of computational units needed for deployment, significantly cutting energy requirements and costs compared to traditional approaches without hampering performance.

“Agentic workflows are getting very complicated and quickly becoming the backbone of what cloud providers are doing. Energy usage is a huge concern, so we need to be very careful about how efficient these workflows are. It is very easy to over-allocate resources, wasting energy and money. Enabling a cloud provider to intelligently make these workflows more resource-optimal is a win for everyone involved,” says Gohar Chaudhry, an electrical engineering and computer science (EECS) graduate student and lead author of a paper on this system.

He is joined on the paper by Adam Belay, an associate professor of EECS and a member of the MIT Computer Science and Artificial Intelligence Laboratory; senior author Ricardo Bianchini, technical fellow and corporate vice president at Microsoft Azure; and others at Microsoft Azure. The paper will be presented at the USENIX Symposium on Operating Systems Design and Implementation.

A configuration conundrum

An agentic workflow is a system composed of several autonomous AI agents that collaboratively use various models and tools, like databases or Python programs, to dynamically complete a multi-step task, such data processing or code generation. 

These workflows can serve as behind-the-scenes processes that power user-facing applications.

Typically, developers must hard-code all technical choices upfront. They need to define which AI agents, models, and tools to use, and the order in which to use them. They also must specify the hardware that runs the workflow and how to balance tradeoffs like speed versus cost. 

This is especially challenging because agentic workflows bring together multiple black-box models and diverse tools, each with their own configuration options, which may be offered by different companies. 

If a new AI model is released that would improve the application’s accuracy or efficiency, the developer would need to start from scratch to implement it.

“Even if you wanted to do all this manually, it is unlikely that you’ll be able to configure the workflow optimally because the space of possible configurations is so large,” Chaudhry says. 

In addition, the cloud data center that deploys the application for customers can’t see inside the workflow to allocate its hardware resources in the most efficient manner at the time of the user’s request. 

With this new system, called Murakkab (an Urdu word that means a composition of things), the researchers sought to optimize the entire agentic workflow process.

Dynamic decision-making

First, Murakkab enables developers to create an agentic workflow by describing their intent for the application in high-level terms, rather than detailing how the many components of that workflow should be combined. 

For instance, a developer might describe a video Q&A application that extracts key frames, generates a transcript, and then answers user queries about the video. 

“There are many ways to do this, and all these different models and tools have implications on how fast the application can finish the task,” he says. 

Murakkab takes the developer’s straightforward specifications and automatically identifies the best existing models and tools to put together into the workflow. 

It also determines which components need to run sequentially and which can be run in parallel to boost performance. 

“The platform makes configuration decisions dynamically over time, so if a new model or GPU accelerator comes out tomorrow, the developer doesn’t need to worry about that,” he says.

When the cloud provider deploys that application for a customer, Murakkab optimizes the workflow by configuring its components to meet the user’s constraints, such as prioritizing accuracy while meeting a latency requirement. 

It adaptively identifies ideal hardware allocations and deployment schedules to maximize efficiency in real time, then generates a workflow that is ready for the cloud provider to execute.

“Our system also gives cloud providers visibility into multiple workloads, so the provider can share computational resources in the most efficient manner while satisfying the constraints of users,” he says.

When tested on diverse agentic workflows for video Q&A and code generation, Murakkab met user requirements while using only about 35 percent of the computation required by other methods. It consumed only about 27 percent as much energy for less than 25 percent of the cost.

The dynamic nature of Murakkab also enables users to balance tradeoffs. In one instance, the system lowered energy consumption of an agentic workflow by more than an order of magnitude with only about a 2 percent drop in accuracy for the customer.

The system was also able to identify an unexpectedly ideal configuration for a model that selects video frames, optimizing performance for a video Q&A task. This type of optimization would be nearly impossible for a developer to do manually, Chaudhry says. 

Next, the researchers plan to expand their system to more complex workflows and larger computing clusters while exploring opportunities to optimize new agentic applications. 

“There is a lot of potential to make these workflows more resource-optimal so they consume far less energy, but we need to be thinking about this at the scale of major cloud platforms,” says Chaudhry.

This research was supported, in part, by the Semiconductor Research Corporation and the U.S. Defense Advanced Research Projects Agency.

When an animal’s environment changes faster than the animal can adapt, its chances of survival can flat-line. The same is true for populations, and even entire species. 

Now, scientists at MIT and the University of Leicester have found that this connection between evolutionary adaptation and the pace of environmental change holds up at the global scale as well — and can determine life’s susceptibility to mass extinction. The researchers developed a theoretical model of this phenomenon, which they present in a paper appearing today in Physical Review Letters.

The team compared the model with available data from past major mass extinctions, including how fast the global environment changed at the time of each event. The model successfully predicted the severity of most mass extinctions in Earth’s history, or the fraction of life that was unable to adapt, and therefore went extinct. 

Interestingly, the researchers found that the range of adaptation rates across animal groups is broadly similar to the range of rates at which the environment can change.

“What we’re beginning to see is a certain level of organization, and ways in which life behaves that are consistent with the ways in which the environment behaves,” says study author Daniel Rothman, professor of geophysics and co-director of the Lorenz Center at MIT. “It may be that life has evolved so that its range of adaptabilities matches the range of stresses that it meets.”

Rothman’s study co-author is Sergei Petrovskii, professor of applied mathematics at the University of Leicester in England.

A catastrophizing connection

The connection between extinction and environmental change is not new. In the late 18th century, the French naturalist Georges Cuvier, who is often referred to as the founding father of paleontology, was the first to propose the concept of “catastrophism.” He had discovered fossil bones near Paris that didn’t match any animal known to exist at the time. Cuvier concluded that the bones were from a group of giant mammals that existed at one time but was no longer around. He proposed, then, that an entire species could disappear, or go extinct, likely due to a widespread catastrophe. 

“That itself was a major idea, that a species could go extinct,” Rothman says. “And he had suggested it was an environmental catastrophe that had caused it.”

The concept of catastrophism later gave way to the view that Earth’s history was shaped mainly by slow, gradual processes. But in the mid-20th century the American geologist Norman Newell revisited the problem. In seeking the cause of extinctions, he proposed what Rothman and Petrovskii call the “rate-mismatch” hypothesis, the notion that extinction occurs when the rate of environmental change is higher than the rate at which a species can evolve to adapt. 

Biologists have since observed Newell’s hypothesis play out in many cases where changes in the environment have driven the extinction of individual species. Rothman and Petrovskii wondered: Could the hypothesis also apply at the global scale?

“We know that individual species go extinct when environmental change outpaces their ability to adapt,” Rothman notes. “But it hasn’t been clear whether this same idea applies at the scale of global extinction events.”

Finding a mismatch

For their new study, the researchers looked to test the rate mismatch hypothesis at the global scale. They wanted to see whether mass extinction events in history can be explained by a mismatch between the rate of global environmental change and the rate at which life around the world can adapt. 

To do so, at least in theory, they would have to compare two sources of data: the rates at which the global environment has changed over time and the rates at which different groups of organisms adapt to environmental change. The first can be found in geological records, which scientists have used extensively to infer how the Earth’s climate changed through history. The second, however, is almost impossible to record.

“We’re talking about the rates at which organisms adapt to major environmental change at effectively geologic timescales, from thousands to millions of years,” Rothman says. “And that doesn’t lend itself to direct observation.”

In place of actual data, the researchers aimed to construct a general mathematical theory to describe the range of adaptation rates across animal groups around the world. In this context, “adaptation” refers to any change within a species, over time periods that are much longer than a generation, that enable the species to persist as its environment changes. 

It is generally understood in evolutionary theory that a species can successfully adapt only when multiple conditions are met. For instance, there needs to be variation in the population, these variations must be heritable, some variations enable an organism to adapt better than others, and the organisms that adapt better should leave more offspring. If all these conditions are met, the entire species should be able to adapt to a given environmental change. However, if any one condition fails, the population will go extinct. 

Rothman and Petrovskii recognized that in this case, a species’ probability of successfully adapting multiplies with every condition that it meets. And it turns out that this pattern can be described mathematically as a very simple, bell-shaped curve. Such a curve essentially describes what fraction of the world’s animals can adapt at given rates, from the slowest to the fastest adapters, and how this fraction changes nonlinearly with the rate of adaptation. This curve generally shows that most animal groups can adapt at intermediate rates, while fewer animal groups adapt at the slowest and fastest rates. 

After they established this general pattern of adaptation rates, the researchers looked to see how this pattern compares to recorded rates of environmental change, and how these two rates match, or don’t match, at times of mass extinction. 

To do so, they considered paleontological and geochemical data from 27 episodes over the last 450 million years where the carbon cycle experienced significant change — a measure that is generally understood to reflect global environmental change. They then compared rates of environmental change with the fraction of animal groups that went extinct during each episode — numbers that were established previously in a well-regarded study by paleobiologist John Alroy. 

In the end, Rothman and Petrovskii observed that indeed, for almost every mass extinction event in the last 450 million years, there was a mismatch in the rates at which the environment changed and at which animals could adapt; mass extinctions occurred when a significant fraction of animals could not adapt fast enough to match the changing environment. Their results confirm that the rate mismatch hypothesis applies at the global scale.

What’s more, this mismatch in rates could predict the severity of extinction events, or the fraction of animal life that went extinct given the rate at which the environment changed. 

In the case of the end-Permian extinction, it’s likely that the rapid acidification of the ocean outpaced organisms’ ability to evolve adequate protections, leading to the extinction of over 80 percent of the world’s marine species. 

The team’s work focuses on applying the new model to past extinction events. But the work could also provide a framework for understanding modern extinction risk. 

“Carbon dioxide levels in the ocean are increasing today at a rate which, when appropriately re-scaled, is similar to rates of carbon-cycle change that are just lower than those associated with major extinction events in the past,” Rothman says. “It suggests that modern environmental change may be approaching rates beyond which adaptation becomes increasingly difficult.” 

This research is supported, in part, by Schmidt Sciences, LLC; the MIT Climate Grand Challenges; the U.S. National Science Foundation; the European Space Agency; and the London Mathematical Society.

In 2022, global production of construction materials accounted for more than 7 percent of total carbon emissions. But how many of those materials were truly necessary to build houses, buildings, and bridges?

A technique called topology optimization can design structures that reduce the amount of material used, in some cases by as much as 90 percent, which would represent a multi-gigaton reduction in building emissions. Unfortunately, topology optimization is mostly used by researchers for applications like 3D printing rather than by engineers designing at the scale of buildings and bridges.

That’s because topology optimization doesn’t create structures that can easily be built on time and budget, which are the things builders really care about.

Now MIT researchers have created a way to make topology optimization designs more buildable. Their framework, described in a new paper in Automation in Construction today, allows users to apply constraints to algorithmically generated structures to limit their complexity. For instance, the approach allows users to limit how many components meet at each point of their design and how small they want their smallest parts. It also builds on previous work by designing structures with multiple materials and taking into account materials’ properties to distribute load and specify part connections.

“There’s an interplay between the materials you’re using, the constructability of designs, and the optimization of the structure,” says senior author Josephine Carstensen, MIT’s Gilbert W. Winslow (1937) Career Development Professor in Civil Engineering. “You need to be able to address all three at the same time. That’s what we tried to do here.”

The researchers used their approach to design steel, wood, and multimaterial truss structures that support loads in buildings and bridges, showing the carbon emissions associated with materials changed significantly when different constraints were applied. They hope their framework will move topology optimization closer to being used in real-world construction.

“In the literature, there’s sometimes been a disconnect between the carbon savings you can achieve on a computer and the realistic carbon savings you can achieve for built structures — especially when it comes to design technologies like topology optimization,” Carstensen says. “The problem lies in the lack of constructability of designs. These designs have been perceived as too difficult to make with conventional methods, so they are never even attempted. That’s what is exciting about our approach: We can add constraints so that you will never be in a situation where the design that comes out is too hard to make.”

Joining Carstensen on the paper is first author and civil and environmental engineering PhD student Zane Schemmer.

More buildable designs

Computer-based topology optimization has been around for decades. It uses computer programs to optimally distribute material in a given space, for instance creating the strongest possible structures at the lowest weight. The resulting designs are often complex, spider web-like structures that would be a challenge for even the most capable engineers to build.

“A big question Josephine and I were asking is why isn’t industry using it?” Schemmer recalls. “What are the obstacles that prevent industry from designing things more efficiently, and how can we fill the gaps between research and real life?”

In recent years, several researchers have developed ways to make topology optimization easier to use. For their study, Schemmer and Carstensen wanted to bring those approaches together and add new capabilities, like creating designs that use multiple materials, which has been another challenge in the field.

“A big aspect of sustainability going forward will be not only using less material, but also implementing materials efficiently based on considerations like where you are in the world, your access to materials, and each of their associated carbon costs,” Schemmer says.

To build their framework, they used a class of equations called mixed integer algorithms that help make binary decisions about things like materials and connections.

“You can’t have a part that’s 72 percent timber and 28 percent steel,” Schemmer says. “Instead, it says, ‘This truss or cable is going to be made out of this,’ and then based on that decision, how do we make sure all of these connections meet their strength standards?”

The system’s decisions also take into account material properties. For instance, steel struts can withstand compressive loads, but steel cables cannot. The model also has more realistic modeling of how parts connect than previous approaches.

“In 3D printing, the way things come together is easy,” Carstensen says. “In construction, that’s not the case. If you’re building with timber there’s a certain rule set, versus steel has a different rule set.”

Users can also decide how complex they want their design to be by specifying the maximum number of connections at each joint and the minimum angle between connected components. The model also creates minimum size limits for parts, further improving its constructability.

“It’s tough to give a contractor these complex, intricate designs because it’s going to be super difficult to build,” Schemmer says. “A lot of times contractors won’t pick up a project like that to begin with.”

The researchers compared structures designed with their approach to structures designed with conventional topology optimization, showing dramatic differences in final designs that transformed how the structures would be built. Using the Lockport “Upside-Down Bridge” near Buffalo, New York, as an example, they applied individual constraints, like a minimum angle on part connections or minimum part sizes, to the bridge’s truss design, to better understand how each constraint impacted final designs.

Finally, they made truss designs that used wood only, steel only, and combined wood and steel, showing how different projects offered tradeoffs with respect to environmental impact and constructability.

“We saw how the system knew that you could design a bridge of pure steel, but that might not be best from a carbon standpoint,” Schemmer says. “Or you could design a bridge out of purely timber, but that might not be the strongest. But these materials can work together, so you use timber for the carbon savings and steel where you need extra strength, and there’s a balance you can find in these structures.”

From research to industry

The researchers say their approach is more computationally intensive than some others, but they were able to use a MacBook Pro to run the programs in their experiment, and they believe it’s practical for most civil engineering firms.

“It’s computationally a little tougher to solve, but there’s a lot of tools coming out nowadays that make these problems a lot more feasible,” Schemmer says. “This approach has been avoided by industry in the past, but now we think it’s a practical way to solve problems dealing with variable constraints.”

If users have more computational resources, the researchers say their approach could work with a long list of materials and far bigger structures than homes, small buildings, and bridges.

Moving forward, Carstensen says the team plans to build scaled-down structures designed by the model to further validate its predictions. They also want to add constraints to their model to make it even more seamless for civil engineers to use when designing the world’s infrastructure.

“As a structural engineer by training, I was never taught how to design for low-carbon,” Schemmer says. “To tackle a problem as big as climate change, addressing the built environment is a great place to start. One of the most tangible things we can do is work at the layer of construction, at the design stage, because that’s a fundamental step that we can control. There’s a lot of decisions we make early on that lead us to use extra material we don’t need.”

The work was funded by the MIT Morningside Academy for Design.