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.

MIT researchers will lead a four-year, up to $38 million project, funded by the U.S. Advanced Research Projects Agency for Health (ARPA-H), aimed at developing a noninvasive, wearable patch that continually monitors biomarkers of heart disease and sepsis.

The project is called PYTHIA, which stands for “predictive platform for physiological and therapeutic health intervention and adaptive management.”

According to the project plan, the patch, which will capture clinical-grade health information in real time, will be powered by heat from the patient’s body. It could provide essential information to help clinicians diagnose heart failure and sepsis early, before the diseases have caused irreversible damage. 

The researchers believe the minimally invasive device could also track the progress of a patient’s recovery after they are discharged from the hospital, and assist clinicians in developing more effective therapeutic approaches.

Catching common killers

Heart disease is the number one cause of death in the U.S., while sepsis kills at least 350,000 U.S. adults each year and is the leading cause of death in hospitals, according to the Centers for Disease Control and Prevention.

“We targeted these diseases because they are very lethal, but we also see opportunities for detecting biomarkers related to heart disease and sepsis to offer a solution that could really help improve diagnosis and treatment,” says principal investigator Ahmad Bahai, a professor of the practice in the Department of Electrical Engineering and Computer Science (EECS) and a member of the Research Laboratory of Electronics at MIT.

Bahai will be joined on the project by MIT researchers Joel Voldman, the William R. Brody Professor of EECS; Tim Swager, the John D. MacArthur Professor of Chemistry; Hadley Sikes, the Willard Henry Dow Professor in Chemical Engineering; and Colin Stultz, the Nina T. and Robert H. Rubin Professor of EECS; with additional clinical and industry collaborators.

“We have created an ecosystem of R&D, with MIT at the center of it, to facilitate not only leading-edge research, but also a path toward translation into a device that can be used in the clinic,” Bahai says. “Our goal with this project is to impact the future of personalized health care.”

PYTHIA grew out of the MIT Program for Health Sciences and Semiconductors (HS+S), which Bahai co-founded when he joined MIT three years ago. The program focuses on leveraging advances in semiconductor technology and nanotechnology to invent new, transformative approaches to diagnostics, therapeutics, and drug discovery.

Inspired by his previous successful work on continuous glucose monitors, Bahai conducts research on a wide range of technologies including electrochemical devices, optics, magnetics, and ultrasonics in his “Waves, Bites, and Molecules” lab. His group’s goal is to offer clinical-grade wearable devices that track biomarkers continuously to enable real-time intervention techniques.

The glucose monitor research inspired Bahai and his colleagues to consider other biomarkers they could monitor in real-time using semiconductor technology, which led to the launch of PYTHIA.

The chip-based, wearable patch will monitor heart failure and sepsis biomarkers in interstitial fluid, which is the fluid under the skin. The biomarkers, molecules in blood plasma that are related to the onset of these diseases, are hard to detect because they exist in very low concentrations.

To measure the biomarkers in detail, the system will execute a chemical reaction that binds certain chemicals with the biomarker molecules in the interstitial fluid, making them easier to identify. The advanced microelectronics in the patch will conduct measurements, capturing biomarker data with enough sensitivity for clinical applications. 

Since the device will conduct measurements continuously, amassing a huge amount of data, PYTHIA will incorporate on-chip AI models to translate raw data into useful information for clinicians.

“This is kind of like having the patient give a blood test every 15 minutes or so, but it happens automatically. That is the power of this technology,” Bahai says.

From here, the team will start developing and testing electronic components for the tiny, low-power chip. Then they plan to advance the wearable device through pre-clinical and clinical trials, to the point that it can be commercially scaled and manufactured, Bahai says.

“This project has real potential to improve health care because, in addition to leveraging MIT’s leading-edge science and technology, we are also teaming up with clinical and industrial collaborators with direct experience of the practical constraints, the regulatory environment, and the clinical need,” he says. “The impact of this research could be huge.”

PYTHIA is funded through the ARPA-H Delphi Program led by Program Manager Leonard Tender. Delphi research teams apply a microelectronics design strategy to biosensing in an effort to develop devices that can safely, securely, and continuously monitor the body’s internal health signals. 

The project described here is supported by ARPA-H under agreement number AY2AX000243. The content of this announcement does not necessarily represent the official views of the Advanced Research Projects Agency for Health.

The MIT Combat Robotics Club (CRC) uses the tagline “build, battle, destroy, repeat,” which is a pretty spot-on description for a club that embraces learning opportunities through destruction. 

“We make fighting robots,” explains Ryan Duarte, the 2025-26 CRC captain and current captain of a sub team for CRC’s ARES robot. “We try and make something indestructible to kill someone else's creation [that] they've tried to make indestructible … and they're trying to kill ours. In other competitions, the winner is who scores more points. You can tell at the end of a match by looking at [the robots] who the winner is.” 

The club, which was founded in 2001 and is housed in the MIT Edgerton Center, was rebooted in 2023 with new members and designs. CRC sub teams compete in the National Havoc Robot League (NHRL) Professional Robot Fighting League. Competitions are hosted approximately every two months, including “house battles” on campus for the MIT community and local teams. Fans of the hit show “BattleBots” might remember some of CRC’s past robots, including Uppercut, SawBlaze, the Dentist, and Overhaul.

ARES, named for the Greek god of war, competes in the 30-pound weight class (other NHRL categories include the 3lb and 12lb weight classes). The robot combines a “Beater Bar,” or vertical spinner, with a compact, dual redundant poly-v belt brushless weapon power system on a high-performance brushless four-wheel drive with lightweight aluminum, titanium, and ultra-high-molecular-weight polyethylene chassis. 

Abi Dixon, 2026-27 CRC captain, says the fighting machine was created from “from steel, titanium, aluminum, and passion.” The robot was a top seed going into last winter’s 2025 NHRL World Championships, but failed to emerge victorious. “Our two losses with ARES were against two opponents which shared a similar weapon type which our underdeveloped armor couldn't withstand,” says Duarte. The team saw the losses as an opportunity to make improvements. 

 “A unique thing about our outlook for these competitions is that no matter how poorly a match goes on our end, afterwards the dominant emotion is still pride,” says Dixon. 

“Being in this community and on this team has changed me,” she says, because “how can you put so much energy, so much love, so much blood, sweat, and tears into a machine and then be totally OK with putting it inside the cage and it exploding, and then literally picking up your pride off the floor, smushing it all back together, and getting back in there? You grow an understanding of finding the wins, even when things look like a complete loss.”

ARES, captained by Duarte, along with fellow Department of Mechanical Engineering (MechE) undergraduates Henry Dang, Kendall Binkley, and Liam Gault, has been undergoing improvements. The team took second place at an April competition and third in October. CRC is simultaneously upgrading ARES and another robot, KRATOS, while continuing progress toward a next generation of robots. 

At MIT, the CRC is open to everyone regardless of year, major, or prior experience. It is entirely student-run, self-taught, and highly collaborative. Participants engineer tough, reliable, performant systems and have an opportunity to learn a variety of skills, from computer-aided design and finite element analysis to CNC machining and welding. 

“Before MIT, I never had the opportunity to independently say, ‘I'm going to make this,’ and complete everything in the engineering process from start to finish. CRC embodies that vision, and solidified my desire to become an engineer,” says Eleni Morales, CRC team member, 2025-26 co-manufacturing chair, and undergraduate in MechE.

CRC welcomed 54 new members this fall semester. As an onboarding exercise, the new members are building 1-pound, or “ant weight,” combat robots in teams of three students. 

“We remain committed to making the team accessible for students with all levels of technical experience (including none!) through a structured onboarding process that prioritizes each and every member feeling as though they have technical ownership over a part of their sub team’s robot,” says Dixon.

The team will host their third annual MIT Combat Robotics House Battle on Nov. 14 at the new Met Warehouse. 

Global development and prosperity have become increasingly dependent on minerals and metals. This growing dependence has drawn attention to the mining industry and underscored national economic and security vulnerabilities across supply chains. As demand for these materials rises, the challenge for expanding capacity will be to develop scalable pathways to produce, use, and steward them. 

In this interview, Professor Elsa Olivetti, co-director of the MIT Minerals Stewardship Consortium, discusses how collaboration can strengthen mineral and metal supply chains and focus research on practical impact.

Q. In its first decades, MIT had a Department of Mining and Metallurgy. In recent years, we’ve seen increasing interest in mining and minerals at MIT. What explains this resurgence?

A: Six of MIT’s first 14 graduates in 1868 earned degrees in geology and mining. In 1889, one of those graduates, Robert Hallowell Richards, was the MIT professor who explicitly linked metallurgy to mining engineering within Course III [Materials Science and Engineering]. MIT shaped its curriculum to meet the nation’s increasing need for advanced materials for railroads, industrial machinery, and electrification.

It feels very similar to our time. We’ve all heard about the growing demand for minerals to support the energy transition, defense applications, data centers, and global economic development. That includes tiny amounts of gallium for defense radar systems and vast quantities of steel, aluminum, and copper for the grid. But each element and supply chain has its own “personality.” For example, gallium is a by-product of the process to make aluminum, so increasing its supply requires coordination beyond mining.

Mining and mineral processing are environmentally intensive — and becoming more so. It's harder to obtain newly mined minerals, even from places where mining already occurs. Ore bodies are deeper, lower-grade, and more often located in socially and environmentally sensitive regions. Mine projects face shifting water availability, extreme climate events, the concerns of nearby communities, fluctuating mining costs, and advancing digital technologies that change how ore is monitored, extracted, and processed over a mine’s life.

And that explains why we are seeing a renewed focus on mining and minerals at MIT. To meet this moment and serve the nation, not only do we need advances in science and engineering for extraction, but also innovations in the markets and governance to incentivize developers and communities to engage continuously and transparently. Our campus is compelled by mining’s broad, systems-level impact on people, the complex science, and the entrepreneurial opportunity. 

Q. President [Sally] Kornbluth has called curiosity-driven science our “intellectual rocket fuel.” What does fundamental research contribute to solving the challenges of mining and critical minerals? 

A: What’s exciting to me is that these challenges call for fundamental research across MIT. 

As an example, rare-earth elements have very similar chemical properties, making them difficult to separate from each other for the different end use applications we depend on. Researchers are exploring engineered microbes that can bind one metal selectively and withstand harsh conditions. This work draws on basic advances in producing engineered proteins and computational models that predict how metals bind. Other teams are investigating electrochemical approaches to extraction, studying how ions behave in ore minerals including oxides and sulfides to improve separation.

We also need contributions from different disciplines. Researchers in earth, atmospheric, and planetary sciences are partnering with colleagues in aeronautics and astronautics to advance remote sensing of changes in land use. Experts in automation and control are developing ways to keep sensitive separation processes within narrow temperature ranges, while mechanical engineers study fluid dynamics relevant to deep-sea mining. Some minerals are essential but traded in small volumes, raising distinct economic questions. Urban planners examine how community knowledge can inform more equitable and resilient decisions.

And we have to move ideas from the lab to the field. MIT’s Office of the Vice President for Energy and Climate, the MIT Energy Initiative, and other programs are seeding early-stage work. Some projects have attracted follow-on support, including the U.S. Department of Energy’s Genesis Mission, to advance technologies toward pilot testing. MIT startups Lithios and RockZero are pursuing lithium extraction from brines and hard rock, respectively. SiTration, Nth Cycle, and Found Industries are pioneering metal recovery from mining and industrial waste. These examples show how basic discoveries can lead to technologies and policy impact — and how challenges in the field can prompt new research questions.

Q. We see regular calls from the government and others to re-shore the production and refinement of critical minerals and rare-earth elements. What is the role MIT can play, and where do you see opportunities for collaboration?

A: Building domestic and allied capacity is more than just opening mines. Extraction, separation, refining, and manufacturing are technically demanding, and the economics are challenging. Trade restrictions can disrupt supply at any point along the supply chain. A domestic magnet industry, for example, needs reliable access to separated rare earth oxides. Otherwise, we replace a dependence on imported magnets with a dependence on imported materials. There must be capability across the entire supply chain to establish resilience, and it needs to be done responsibly and with a robust workforce. This will take collaboration across industry, government, and research institutions.

MIT can play a strong role as a convener, particularly among industry partners. 

In September 2025, we launched the MIT Minerals Stewardship Consortium (MSC) with three inaugural members — BHP, Vale, and Rio Tinto — which MIT Sloan Professor Chris Knittel and I lead. All of this came together when staff from MIT’s Industrial Liaison Program came to me and said, "We've been having conversations with companies, and they're describing similar needs. Is there an opportunity to have them work together with MIT?" The MSC is a platform to gather stakeholders from across the supply chain with specific aims, such as identifying barriers to technology adoption, to curate research questions and collaborative next steps.

The consortium brings together faculty expertise in operations, urban planning, aerospace engineering, materials science, and economics. Through the MSC and other campus efforts, MIT connects industry, government, startups, and researchers to identify shared priorities and move research toward practical impact.

The U.S. administration and other governments are mobilizing capital, driving regulation, and building international and corporate alliances to strengthen critical mineral supply chains. Through the MSC and engagement across campus, MIT can bring together stakeholders to identify priorities, coordinate efforts, and ensure we help build competitive, resilient supply chains.

Endometriosis affects more than 265 million women worldwide — 1 out of every 10 women of reproductive age, according to the United Nations — yet it remains one of the most misunderstood, under-researched, and chronically stigmatized conditions in modern medicine. 

A new documentary, “End of the Cycle,” presented by The Endometriosis Collective, is changing that conversation about this painful disease, one powerful story at a time.

Directed by Sammy Jaye and Soraya Simi, the film weaves together intimate personal narratives, cutting-edge science, historical revelations, and cultural commentary to challenge decades of misconceptions. The result is both deeply personal and urgently scientific, sending out a clarion call for research investment, medical accountability, and systemic change.

The film features a talented ensemble of women living with endometriosis — comedian Amy Schumer, U.S. Olympian Brittany Brown, actress Janel Parrish, actress and musician Fọlákẹ́ Olówòfóyèkù, dancer Julianne Hough, and influencer and filmmaker Sammy Jaye Lang. When asked to describe endometriosis in three words, their responses cut to the heart of the condition: “agony, isolation, harmful.”

The film also profiles 20th century icon Marilyn Monroe, who struggled with endometriosis until her death in 1962 at age 36.

But “End of the Cycle” goes beyond depicting suffering; it also depicts action, resilience, and hope. Alongside patient stories, the film features leading researchers and clinicians, including MIT Professor Linda Griffith, director of the Center for Gynepathology Research at MIT. Griffith brings both her pioneering scientific expertise and her personal journey living with endometriosis — a perspective that has shaped her life’s work.

“There’s a fair degree of consensus about the definition of endometriosis,” Griffith explains in the film, “but we need to understand the basic process of how normal tissue is regulated so that we can understand the diseased tissue better. That’s my goal.”

Today, her research at MIT is pioneering new approaches to understanding and treating endometriosis. “Only by working together across all our disciplines and putting all our talents in all the different places they are needed, we will find answers, treatments, cures, and even prevention,” Griffith says.

On Sept. 30, more than 250 members of the MIT community gathered alongside industry partners, clinicians, patient advocates, and endometriosis researchers to mark Menstruation Science Day at MIT, centered around a screening of “End of the Cycle.” The event brought together students, faculty, donors, entrepreneurs, and leaders in women’s health for a single purpose: to challenge misconceptions about endometriosis and to catalyze the next wave of research, innovation, and care.

Griffith moderated an expert panel that followed. The panelists — Sammy Jaye Lang, filmmaker with the Endometriosis Collective; Steve Palmer, senior communications associate at Baylor College of Medicine; Eliezer Calo, associate professor of biology at MIT; Stephanie Morris, an obstetrician-gynecologist at Newton-Wellesley Hospital; and Aleshia Carlsen-Bryan, associate director of prehealth advising at MIT Health — offered multiple perspectives on where women’s health innovation stands and what it will take to accelerate progress.

Video by Sammy Jaye and Soraya Simi | 1 hour, 21 minutes

Running a modern research laboratory requires more than maintaining sophisticated instruments. Researchers need to complete training, obtain access, schedule and operate equipment, navigate billing, and more. For large, shared facilities, coordinating these activities across hundreds of instruments and thousands of users can be a significant undertaking. As research becomes increasingly interdisciplinary, another challenge is emerging: finding the right capability in the first place.

Addressing these challenges was a central theme of the 2026 NEMO User Meeting, hosted by MIT.nano Oct. 5–6. The meeting brought together 65 representatives from 25 laboratories and organizations, including facility directors, laboratory managers, technical staff, software developers, industry representatives, and government researchers. Sponsored by the Northeast Microelectronics Coalition (NEMC) hub, the meeting focused on sharing approaches to lab management and building connections among facilities.

At the center of the meeting was the NanoFab Equipment Management and Operations (NEMO) system, an open-source platform that provides tools for managing shared research facilities while allowing individual laboratories to adapt the system to their own needs. The meeting highlighted an important characteristic of the NEMO community: The same platform can serve a very diverse set of facilities, and while the scale or the scientific missions of the facilities may differ, their core operational challenges are often remarkably similar. 

For Anna Osherov, associate director of Characterization.nano and organizer of the meeting, the collaborative model is one of the most compelling aspects of NEMO.

“Open source changes the way we think about technology development,” she says. “We can build on what others have already developed, contribute improvements back to the community, and collectively create a platform that is more capable than what any one facility could develop on its own.”

NEMO was originally released as open-source software by the National Institute of Standards and Technology (NIST) in 2018. Its community edition (NEMO-CE), launched in 2023, allows facilities to develop and share extensions to the platform. At the October meeting, participants from organizations including MIT; Stanford, Columbia, and Princeton universities; the University of Pennsylvania; NIST; NASA’s Jet Propulsion Laboratory; and Atlantis Labs presented tools to address challenges ranging from chemical management and user administration to equipment status, training, and workflow automation.

The range of presentations illustrated how differently configured facilities are adapting a common platform to their own needs. Stanford, for example, presented real-time displays for equipment status and reservations, while Columbia shared its experience migrating to NEMO and extending the system for billing and facility workflows. Princeton demonstrated automated process charts for monitoring tool performance, and the University of Pennsylvania presented approaches to chemical management.

Overall, the projects demonstrated the premise behind the NEMO community: a solution developed to address a problem at one facility can become a resource for others.

“Together we can do way more than any one of us individually can,” said Vladimir Bulović, director of MIT.nano, during his opening remarks. “NEMO is the platform that gave us, finally, a streamlined way to do so.”

From individual facilities to a connected research ecosystem

As the NEMO community grows, another opportunity emerges. Universities and research organizations operate specialized facilities, each with unique equipment, expertise, and capabilities. But researchers cannot use a capability they are unaware of or cannot easily find.

This is particularly important for microelectronics R&D, where progress often depends on moving quickly between specialized capabilities. A researcher may need fabrication at one facility, advanced characterization at another, specialized microscopy somewhere else, and a process or analysis capability available at only a handful of institutions.

Finding those capabilities, and knowing where and when they can be accessed, can itself become a bottleneck.Traditionally, networks of facilities have relied on static webpages or databases to describe available resources. But as facilities evolve, this information can quickly become outdated.

At the meeting, MIT.nano presented Hydra, a new open-source platform being developed with support from NEMC as a key component of the NEMC Technical Concierge, a program that aims to help researchers identify and access specialized capabilities across a network of facilities. Hydra is designed to connect multiple NEMO installations and draw information directly from the systems that facilities already use, rather than requiring someone to manually update a separate database. The result is a compilation built from the ground truths of actively-used facility management systems. “Hydra does not replace any lab management system,” Osherov explained. “It connects, synchronizes, and keeps data up to date across all connected systems in real time.”

In this model, NEMO provides the operational source of information within an individual facility, while Hydra makes that information discoverable across facilities.

For a researcher, that could mean finding a specialized capability without first needing to know which laboratory might have the relevant equipment. 

“The focus is to make the distributed infrastructure supporting research more discoverable and usable,” Osherov said.

Building infrastructure that can change

The approach reflects a broader philosophy: Research infrastructure needs to evolve as research itself changes. “We need to build a flexible research space and a community-oriented space so that people feel empowered to go to it, use it, and then redefine it as the years progress, adapting it to the needs of the next generation of researchers,” said Bulović.

That flexibility applies to operational systems as well as physical laboratories. New instruments and research methods emerge, user communities change, and facilities develop new requirements. An open-source platform allows individual facilities to respond to those changes while providing a mechanism for improvements to be shared.

At MIT.nano alone, NEMO supports more than 1,600 active researchers using more than 200 tools, with approximately 160,000 hours of tool usage each year. For Jorg Scholvin, associate director of Fab.nano, operating at that scale makes the efficiency of everyday processes, and the ability to adapt and change quickly, important.

“A small improvement in an administrative workflow can be multiplied across thousands of users and tens of thousands of equipment interactions,” he said.

The NEMO wave

The sense of community and positive outlook for the future of shared facilities was apparent throughout the two-day meeting. Closing discussions looked ahead to the role of data integration, automation, and artificial intelligence in lab operations.

“The community is taking on a life of its own,” said Mathieu Rampant, CEO and co-founder of Atlantis Labs, describing a model in which facility managers can share ideas and solve problems together. “It’s more sustainable,” he added as he talked about having to do less as the NEMO-CE manager because the facilities managers are talking to each other — sharing ideas and solving problems as a network: “the NEMO wave,” Samantha Roberts, director of the City University of New York nanofabrication facility, called it. “Everyone is invested in it and cares about it. It takes a lot of effort to change your lab management system and if we keep this going, we can build out something that’s really cool and that works.”

For Osherov, the purpose remains straightforward.

“Ultimately, this is about enabling research. The better we can manage the operational side of our facilities, the more effectively we can make our instruments, expertise, and capabilities available to the research community.”

In microelectronics, where innovation increasingly depends on access to specialized and distributed capabilities, that availability matters. The ability to find the right capability at the right facility, using information drawn directly from actively used systems, can help researchers move more quickly from an idea to an experiment to real-world application and impact.

MIT was founded on the idea that people learn best by doing. For nearly 25 years, the Lemelson-MIT Program in the MIT School of Engineering has carried that idea into K–12 classrooms across the country, helping teachers guide students as they find real problems and invent solutions to them. 

Now the program is expanding that work into connected pathways that follow students from the early grades through college.

This month, Lemelson-MIT awarded multiyear Invention Education Pathways grants and stipends to 19 schools, districts, and colleges across three regions: Northern California, Tennessee, and Massachusetts/Connecticut. The partners include elementary, middle, and high schools, as well as a community college and two state universities, together forming routes for students to experience invention at every stage of their education.

The initiative arrives as MIT President Sally Kornbluth has launched MIT for America, a strategic effort to widen access to quality STEM education nationwide, from kindergarten to community college. One of its three focus areas, Design, Make and Innovate, aims to give students more chances to build, test, and prototype their way toward solutions, and to support teachers in bringing hands-on work into their classrooms. Invention education does exactly that.

Learning the way inventors work

In invention education, students work in teams to identify problems that matter to them and their communities, then develop prototypes of original solutions. Along the way, they apply knowledge from multiple disciplines and develop both technical skills and durable human skills such as empathy, collaboration, and communication. They also gain confidence in their own abilities.

“Understanding user needs is critical in product design,” says Michael Cima, faculty director of the Lemelson-MIT Program and a professor of materials science and engineering. “It’s the foundation everything else is built on. Invention education builds that understanding early, teaching students to ask whom they’re designing for and what is truly needed before they ever build a prototype.”

Rather than offering a one-time project or an after-school club, the pathways approach aims to give students repeated, connected invention experiences as they advance. Lemelson-MIT staff will work alongside educators in each region to assess, design, and implement learning experiences that help students apply scientific, technical, engineering, and mathematics (STEM) knowledge to real-world problems. Schools and colleges can adopt Lemelson-MIT curriculum resources selectively to jump-start or strengthen their offerings.

“We have learned that invention education can benefit all students, especially when students can experience learning through the invention process across multiple grade levels,” says Stephanie Couch, executive director of the Lemelson-MIT Program. “Our goal is to create opportunities for learning through invention education during the regular school day, beginning in the early grades and continuing into adulthood.”

Every student an inventor

The three regions were chosen through a nationwide search for schools and districts committed to building strong invention pathways from kindergarten through college and to increasing the number of inventors from diverse backgrounds.

That commitment rests on a simple observation from Lemelson-MIT’s work: Given the chance to invent, students of every background surprise themselves, and their teachers, with what they can do. The program’s experience, case studies, and published research show that invention education helps students, especially those underrepresented in STEM, see themselves as capable STEM learners and inventors. Students in the program’s flagship high school initiative, InvenTeams, have earned 24 U.S. patents.

The benefits extend into the workforce. “Employers benefit from graduates that have the types of capabilities they need, but have trouble finding,” Couch says. “Invention education connects students’ knowledge and passions with the technical and durable human skills employers are looking for.”

Participating institutions

• Northern California: California State University at Stanislaus; Columbia College; Columbia Union School District; Denair Unified School District; Folsom Cordova Unified School District; Stockton Unified School District; and Visions in Education University Prep Early College Academy
• Tennessee: Apison Elementary School; Battle Academy; Hixson Middle School; Normal Park Museum Magnet School; and Red Bank elementary, middle, and high schools
• Massachusetts and Connecticut: Berlin High School; Cambridge Rindge and Latin School; New Covenant School; Watertown High School; and Westfield State University

Looking ahead

Over the next three years, the Lemelson-MIT Program will work closely with educators in all three regions toward a shared goal: making invention education a regular part of the school day, rather than an occasional enrichment activity. 

Lemelson-MIT hopes that what these partners learn together will help show how invention pathways can take root in schools and colleges across the country.

Vera Grbic, communications officer at the Institute Discrimination and Harassment Response Office (IDHR), is an expert at creating clear, informative collateral. Whether she is improving the IDHR website to help people more easily find the support or resources they need or using newsletters and annual reports to explain IDHR's work and the policies that guide it, Grbic believes it is vital for members of the MIT community to know where to turn and what resources are available to them. 

Grbic earned a BA in communications, with a minor in English literature, from the University of Ottawa, and an MA in communications from Carleton University. Both institutions are in Canada's capital city of Ottawa.  

Before joining MIT in 2021, Grbic worked in a mix of federal government, nonprofit, and research organizations. After graduate school, she worked as a freelance journalist, during which she developed a skill she still relies on today: collaborating with subject-matter experts to ensure that creative communications are grounded in fact. As a senior communications officer for the National Research Council of Canada, she worked with engineers and scientists in areas such as artificial intelligence, climate research, aerospace, and physiology. She elevated their research and innovations to key audiences and helped create new partnership opportunities. In this role, she translated complex information into engaging communications that furthered the organization's goals. Grbic describes this work as the "through-line" connecting her previous experience to what she does today at MIT. 

IDHR addresses concerns related to discrimination, discriminatory harassment, and sexual misconduct by providing education, individualized supportive measures, information about available resources, and complaint resolution pathways that include both restorative and investigative processes. Grbic develops IDHR’s annual communications strategy and has spearheaded several key initiatives, including a website and annual report redesign and the launch of IDHR’s Data Dashboard. She collaborates with colleagues across MIT to gather content ideas for newsletters, data and stories for annual reports, and feedback on communications materials. She often partners with IDHR's prevention education and outreach team, which delivers training to the community. 

Grbic notes that being a communications professional means constantly learning, whether that entails researching a new topic, finding creative ways to tell a story, or meeting subject-matter experts who broaden her perspective. Accuracy is at the core of her approach. While she strives to find creative ways to explain policies and complex processes in ways that are accessible to everyone, collaboration and fact-checking are intrinsic to her work. Given the wide range of responsibilities within communications, Grbic is a jack-of-all-trades. Her experience includes creative communications, social media management, long-form storytelling, event production, report writing, video production, and website management.  

In addition to her communications responsibilities, Grbic co-organizes the annual Change-Maker Awards, which honor members of the MIT community who work diligently to prevent sexual misconduct and combat harassment. She takes great pride in helping lead an event that recognizes individuals who are making a meaningful difference in building a safer culture at MIT. Grbic describes the award winners as “true inspirations.” 

Grbic recognizes that nothing is done in a vacuum. She values the input of her team members and colleagues across MIT and is proud to incorporate their feedback into her content. Because no two projects are exactly alike, she enjoys the creativity and variety that her work offers. 

Soundbytes 

Q: What are your favorite projects that you have worked on? 

A: I was part of a team that helped develop and launch the most recent sexual misconduct surveys for students and employees. I also strategized a campaign to clarify IDHR services, which included whole-scale website improvement: rewriting many sections, adjusting navigation, improving visual design, and publishing a short video explaining our process. There was also a poster campaign about the services we offer the community. MIT is awash with important storytelling, so getting that messaging to people who need it is vital. These projects brought me pride because taking the time to understand a community's experiences can have a meaningful impact. 

Q: How would you describe the MIT community? 

A: Smart, in a well-rounded way. Everyone is an incredibly hard worker and thinks in deep, research- and experience-backed ways on how to solve complex projects.  

As an employee who has worked with students on Institute-wide initiatives, committees, and awards, I have seen how much they care about making the world a better place. The staff and faculty are gracious and bring a strong work ethic to everything they do in support of the MIT community. 

Q: Are you involved in any areas of the Institute that are not directly related to your job? 

A: I recently started participating in the MIT Women’s League, which I am excited to explore. When I was pregnant, I took prenatal classes at MIT, including a yoga class where I met people I am still in touch with years later. I also played in a volleyball league at the recreation facilities, which made me see the facilities from a different angle.  

I’ve attended many free conferences and events hosted by MIT clubs and schools. For example, a children’s clothing swap has been organized for years, which also provides an opportunity to connect with other families in the community. I also prioritize keeping up with current topics and have attended two AI conferences organized by the Institute.  

While these opportunities may feel secondary to the workplace, they are important. I’m glad I am in a space that helps feed my physical health and has opportunities for broader learning. 

Millions of people rely on the cloud every day, yet researchers working to secure and improve the cloud are often locked out of the technology it runs on. Jeffery Lim is trying to change that.

One such technology, single-root input/output virtualization (SR-IOV), lets major cloud providers like Amazon Web Services boost the performance of their systems. Cloud providers combine SR-IOV with custom hardware and software to deliver faster cloud services than traditional setups allow.

Lim is a computer engineer at MIT Lincoln Laboratory. While pursuing his master's degree, he noticed that academic research proposing smarter or safer cloud infrastructure did not account for SR-IOV. Very few open-source hardware platforms existed that would let researchers work directly with SR-IOV as they developed new software or models to improve the cloud.

So, Lim filled that gap with his master's thesis, building a hardware platform compatible with SR-IOV that captures key features of the infrastructure used by cloud providers. The result is a research and development platform that allows researchers to build, test, and evaluate realistic cloud designs.

"As a society, everyone uses the cloud now," Lim says. "I hope that people will use this platform to build systems more akin to how cloud providers operate, and, more broadly, that researchers everywhere can take advantage of SR-IOV for the performance benefits it offers."

Lim presented a paper at the IEEE High-Performance Extreme Computing Conference in September, and he plans to release this work open source. In recognition of the hardware's potential impact, the Boston University College of Engineering awarded Lim its 2026 Master's Societal Impact Award.

Winding path to cybersecurity

Growing up, Lim was fascinated with building computers. That fascination set him on a winding path to the Secure Resilient Systems and Technology Group at Lincoln Laboratory.

After studying electrical and computer engineering at the University of Colorado at Boulder, he spent several years in industry working on field-programmable gate arrays (FPGAs) — integrated circuits that can be repeatedly reprogrammed for different functions. This background led to his 2018 hire at the laboratory, where he developed FPGAs for small radars that detect the breathing of humans trapped in rubble and for large radars that track satellites and orbital debris from atop Millstone Hill. He next turned to investigating radiation-induced faults in integrated circuits aboard space platforms and ways to protect the chips.

This focus on safeguarding hardware turned his attention to cybersecurity, an area he had long found interest in but never fully explored. So, Lim transferred to his current group in 2022 to pursue this interest.

"I don't think there's another place in the world where I could say, 'Hey, I want to try something new,' and actually have that opportunity," Lim says. "Lincoln Laboratory does that really well, giving people the chance to transition into a different field of engineering or area of expertise."

To deepen his expertise, he applied and was accepted in 2024 to the Lincoln Scholars Program, which allows technical staff to pursue full-time graduate studies at the master's or doctoral level. Scholars remain employed and apply their academic work to national security needs.

As he pursued his master's degree at Boston University, Lim worked closely with his Lincoln Laboratory mentor Benjamin Nahill, who helped Lim keep his research tied to the laboratory's mission and provided a sounding board for ideas. "I'd call him my rubber ducky," Lim says, a nod to the classic software engineering practice of "rubber duck debugging" — reasoning things out through speaking aloud to a rubber duck.

"We talked about his thesis concept for quite a while, but the implementation suddenly became real toward the end," says Nahill. "He transformed what began as an idea for a research tool to an incredibly performant implementation. Having worked with Jeffery on projects in our group, I shouldn't have been surprised, but it was most impressive."

Missing piece for cloud research

When most people say "the cloud," they mean cloud services provided by companies such as Amazon, Microsoft, and Google. Virtualization is the invisible process that makes those services possible. Users uploading photos or streaming movies are interacting with virtual machines, running on servers in data centers.

In the past decade, SR-IOV has changed the way traditional virtualization works. Traditionally, a software component known as the hypervisor acts as a middleman between the virtual machines and the server's physical hardware. Its main role is to distribute computing resources as needed, and provide functions (such as networking) to the virtual machines.

In contrast, SR-IOV enables virtual machines to access a dedicated slice of the hardware device, reducing the hypervisor overhead. This capability is often found on specialized devices called Smart Network Interface Cards (SmartNICs). Major cloud platforms, such as Amazon Web Services’ Nitro System and Microsoft’s Azure Accelerated Networking, use SmartNICs with SR-IOV to provide high-speed networking to many virtual machines.

"This was the missing research capability that I set out to build: an open-source SmartNIC platform compatible with SR-IOV," Lim says. Because SmartNICs can be built on FPGAs, Lim had a familiar starting point. In fact, he found a couple of platforms that supported SR-IOV; however, they lacked features that would make them practical tools for researchers to utilize. He spent a couple of months building those required components.

The first component is a switching fabric. Often, cloud customers' applications or programs may be split across multiple virtual machines, which may be distributed across multiple servers. Therefore, the cloud system needs a way to determine whether a piece of data needs to stay local or leave the server. Lim's switching fabric handles that traffic-directing job.

The second component is a network function engine. This small, specialized processor is built to run security rules, like firewalls, that keep one customer's data safely separated from another's. To build it, Lim used Extended Berkeley Packet Filter, a system that allows custom code to inspect network traffic, approving or blocking data as needed. Rather than starting from scratch, he adapted the design from doctoral research conducted by Zaid Tahir, who studied under their shared advisor, Professor Martin Herbordt of Boston University.

Herbordt described Lim's efforts as "combining vision with heroic system-building, single-handedly putting together the hardware and software necessary to prove the concept."

"I'm very much a hands-on hardware guy, so, yes, I ended up building two servers at home to test my designs," Lim says. He also used the Mass Open Cloud’s Open Cloud Testbed, a test bed meant for testing cloud platforms, to gather metrics and validate his system.

Impact beyond the platform

Throughout the project, Lim maintained focus on applicability and transparency. "My biggest worry was, is this going to be relevant? Is this something that can actually be utilized?" Lim reflects.  

Earning the Societal Impact Award points to yes. The award recognizes projects that address pressing global challenges through innovative applications of technology. Lim's platform opens the door to evaluating a cloud trust model that remains largely opaque, even as many sectors of society, from health care to banking, increasingly rely on it.

"Right now, we have limited visibility into how major cloud providers implement and evolve their infrastructure," Lim says. "If researchers can catch up to how the modern cloud operates, they might develop new approaches that improve security or performance."

As part of his role as a Lincoln Scholar, Lim is also exploring how his work connects to Lincoln Laboratory's national security mission. He sees several potential avenues.

One program in his group is evaluating cyber-hardening techniques for hypervisors, as the cloud takes on an expanding role in defense systems. "Introducing Lim's SR-IOV-compatible platform to this work would help bring our research closer to how cloud environments operate, demonstrating the impact of our techniques in realistic environments," says Nathan Burow, the program's principal investigator. Another program is examining what it takes to stand up high-performance data centers, work that could draw directly on Lim's research into the technologies SR-IOV requires.

Or his path may lead to something new. The laboratory allocates internal technical investment funding — supported by the Office of the Under Secretary of War for Research and Development — for staff-proposed projects addressing emerging needs. Lim is considering a proposal to bring SR-IOV to the embedded-systems level, say, to drones or satellites.

"We saw how cloud providers moved from traditional virtualization to SR-IOV to maximize performance while maintaining isolation," he says. "I wonder if we can do the same at the embedded level, where power and compute constraints are even tighter. I'd love to complete that transition. I learned a lot from the cloud. Now, can we apply those lessons somewhere else?"

Utilizing waste carbon at scale, assessing public trust in artificial intelligence and data centers, and building a quantum toolkit for critical applications were among the topics energy experts explored at the MIT Energy Initiative (MITEI)’s annual research conference on Sept. 22-23.

The complexity of the energy transition demands “a truly interdisciplinary and international approach,” said Paula Hammond, Institute Professor and dean of the MIT School of Engineering, kicking off the conference, which was themed “Transitioning energy at a pivotal moment.” 

More than 200 people attended Energizing@MIT: MITEI’s Annual Research Conference in person and online, including faculty, scientists, and researchers; representatives of global energy firms; nonprofit organizations; and academic institutions.

With the rapid proliferation of artificial intelligence and data centers, the challenge of the energy transition grows ever greater, requiring “researchers who can pursue fundamental questions about materials, chemistry, and energy systems … engineers who can design new technologies and determine how they might function at scale … and experts in economics, policy, human behavior, and sociology who can help us understand how those technologies will interact with communities and with the world around us,” said Hammond. 

From keynote speakers to panelists, seed grant innovators to startup entrepreneurs, the conference featured exemplars in all these categories.

Deploying today’s technologies

Eric Toone, chief technical officer and managing partner at Breakthrough Energy, set the tone for day one with a keynote address that was clear-eyed in his assessment. “If energy is prosperity,” he told the audience, “at least today, prosperity is emissions.” Yet, Toone was optimistic when he heralded examples of Breakthrough Energy-funded ventures, from iron-air batteries to vacuum-insulated glass windows, which can reduce the carbon costs of energy. 

“We can absolutely develop new technologies that provide the exact same service, but at zero carbon,” he said.

The conference made Toone’s claim tangible as it spanned the full arc of decarbonization — from deploying what we know today to uncovering what may be possible tomorrow. 

There are “projects that are actually being developed, companies that are putting steel in the ground now, electrons onto the grid to deliver capacity now, or in the very, very near term,” said John Parsons, deputy director for research at the MIT Center for Energy and Environmental Policy Research. Parsons moderated a panel on the revival of nuclear fission power. 

Highlights included Crane Clean Energy Center’s restoration of the Three Mile Island Unit 1 nuclear plant, set to restart in mid-2027; work by Électricité de France (EDF) to extend and modernize France’s 57-reactor nuclear fleet, adapting plants to climate impacts; and GE Vernova’s development of mature light-water reactor technology, with a new plant under construction in Ontario.

Carbon utilization offers another path to mitigating carbon dioxide (CO2) emissions. “The land and ocean are passively taking up almost 50 percent of anthropogenic CO2 emissions,” said Carolyn Ruppel, MITEI’s deputy director for science and technology, who moderated the panel. “The idea is to find uses for some of the rest of it.” The session showcased research exploring a host of technologies for making products with captured CO2.

Nicola Ferralis, a research scientist in the MIT Department of Materials Science and Engineering (DMSE), highlighted the importance of large-scale uses for carbon waste, such as structural carbon for vehicles and buildings. “We need to find applications that are actually able to match the supply by mass,” he said. 

Admir Masic, an associate professor in the MIT Department of Civil and Environmental Engineering and DMSE, described self-heating concrete panels used in real-world conditions in Sapporo, Japan, as well as new concrete materials that can store energy.

“The pace of the transition to a renewable-energy economy will strongly rely on the availability of scalable, bulk energy-storage solutions,” said Masic.

Kripa K. Varanasi, a professor in the MIT Department of Mechanical Engineering, is working on ways to make technologies such as emissions-plume capture at power plants economically viable. 

In a panel devoted to startups with links to MITEI or MITEI member companies, speakers described moving novel energy technologies from research to commercialization: Alfredo Rivela of Adaion has developed an AI tool for electrical utilities that optimizes their use of the grid; Eddie Obropta of Raptor Maps trains drones to inspect solar farms; Michele Guarnieri’s HiBot has created a robot that detects issues in power lines; and Michael Wang of Lithios is conducting field pilots that use electrochemistry to separate lithium from low-grade brines.

Successful ventures, the speakers agreed, begin with a clear customer problem that can be validated by industry users and that offers a path to scaled deployment. For industry users, “innovation is not a corporate virtue,” said Steve Hellman, managing partner at Alliance Partners. “It’s an existential requirement.”

Early-stage research and basic science

The conference also offered a bounty of promising early research on technologies and approaches for cutting carbon emissions. A panel on MITEI’s Seed Innovation Fund Program projects introduced MIT scientists who are separating and recycling rare earth elements; designing algorithms to decide which power plants should run to meet electricity demand; and modeling the impacts on human and natural systems of development and decarbonization.

A poster session revealed the next generation of energy researchers in such fields as chemistry, architecture, aeronautics and astronautics, and computer science. Graduate students are developing a wide array of technologies for carbon mitigation and new energy systems, such as a steam electrolysis process for hydrogen production; models of end-to-end decarbonization in buildings; and designs for hydrogen- and methane-fueled aircraft.

The conference highlighted the importance of fundamental science in feeding the pipeline of new energy technologies. Wednesday’s keynote speaker, Danna Freedman, the F. G. Keyes Professor of Chemistry at MIT and inaugural director of Quantum@MIT, traced scientists’ evolving capacity to harness quantum computing as a tool for solving a range of problems, including those in energy.

“What we want to do at Q-MIT is solve the hard problem, and the hard problem isn’t developing these ridiculously intricate and beautiful quantum tools,” said Freedman. “It is connecting the quantum tools with the applications that will change the world.”

A companion panel explored one such application: quantum sensing, which leverages fundamental physics to capture a nanoscale view of materials and their properties. For instance, Lukasz Zielinski, scientific advisor to the Integrated Sensing and Measurement Program at SLB, uses a lidar camera with single-photon detectors to identify methane plumes. Moderator Paola Cappellaro, the Ford Professor of Engineering in the MIT Department of Nuclear Science and Engineering, described her work using diamond-based sensors for detecting tiny magnetic fields from battery current, potentially helping measure battery conditions without disturbing the battery electrically. Such quantum sensors, Cappellaro said, can be “practical and impactful.” 

Data centers and public trust

One critical challenge facing energy researchers and industry emerged in sessions throughout the two days: the explosive growth of AI and the energy-hungry data centers that fuel this technology. As Deepjyoti Deka, a MITEI principal research scientist, put it, “the big test for AI right now is whether AI can reduce energy usage, improve efficiency, as well as bring in innovation faster than the rate at which it is going to consume electricity to get trained and deployed.” 

“New ‘hyperscale’ facilities built for artificial intelligence can use more power than entire cities,” said Steve Clemmer, director of energy research in the Climate and Energy Program at the Union of Concerned Scientists, sharing a recent analysis of data center proliferation. With new facilities being 10 to even 10,000 times larger than data centers built just a decade ago, he said, wholesale electricity costs will rise, and “increased reliance on fossil fuels will result in tens of billions of dollars in health damages, and trillions in climate damages.” He noted that decision-makers can mitigate these harmful impacts through clean energy development, strong ratepayer protections, and other safeguards.

Given mounting opposition to data centers, Kathryn Kline Tyndall, associate director of energy at the Bipartisan Policy Center, recommended that industry proponents provide early, accessible information about power, water, quality-of-life, land-use, environmental, and economic impacts, tailored to each community in which they hope to set up shop.

Larry Susskind, the Ford Professor of Urban and Environmental Planning in the MIT Department of Urban Studies and Planning, recommended that developers go further, and demonstrate credible benefits to communities. To achieve this, Susskind suggests a facilitated negotiation process between developers and local groups whose object is a community benefits agreement — a deal that might involve altering the data center design, and providing workforce development, infrastructure investment, and clean energy partnerships.

Ultimately, developers must accept that they can’t rush community acceptance; they have to earn it by giving residents a meaningful role in shaping projects and sharing their benefits. 

“You’re going to have to proceed at the speed of trust,” said Susskind.

Creating better-performing materials comes down to having more control over their structure at the smallest possible scale. One particularly effective way to accomplish that is using nanoparticles, which have highly customizable shapes and sizes and have already shown promise in applications across energy, medicine, and electronics.

But the process of turning nanoparticles into useful new materials has been hampered by the difficulty of controlling the number and direction of the links between each particle and its neighbors. Researchers have tried changing the shape of particles or precisely aligning the rigid connector chains between them, but both of those methods limit the material structures nanoparticles are able to form and are difficult to scale.

A team including researchers from MIT is taking a different approach. The researchers developed a tunable way to use super-flexible connector molecules that regulate the packing of nanoparticle networks by intentionally deforming based on their surrounding environment. In a paper published today in Nature Materials, the researchers showed how connector flexibility and electric charges can be used to tune the network’s structure, and they used the technique to create new kinds of nanoparticle-based materials.

The approach could offer a more versatile way to create high-performing materials for photonics, chemical catalysis, medicine, agriculture, and more.

“People are interested in nanoparticle superlattices because of the promise of building designer materials where you have more say in what types of structures they can actually build into,” says Rob Macfarlane, the Richard P. Simmons (1953) Professor in Metallurgy in MIT’s Department of Materials Science and Engineering. “This is a new approach in nanoparticle assembly that hasn’t been investigated before. It’s exciting to have a new tool that is so counterintuitive. It’s the exact opposite of what the dogma has been for 20 years: that you need to make connector ligands rigid, and any deviation causes assembly to fail. We showed if you just crank it all the way to the opposite extreme, it works just as well.”

Joining Macfarlane on the paper are MIT PhD candidate Nicholas Sbalbi; University of Delaware doctoral student Stephen Kronenberger; MIT undergraduate Hana Shinzawa; Matthew Ye PhD ’26; and former University of Delaware professor Arthi Jayaraman.

More flexible structures

A foundational truth in materials science is that a material’s structure governs its function.

“That means if you know what your building blocks are and how they’re arranged, you can explain what properties materials have,” Macfarlane says. “Controlling that is how you make materials that have new properties.”

Nanoparticles give scientists a flexible building block to make materials with desired properties, and individual nanoparticles are already used in applications as diverse as drug delivery, energy storage, computing, and sensing. But assembling them into larger structures has proven to be a challenge because of how tightly they tend to pack together.

To overcome that challenge, researchers make nanoparticles different shapes, which changes how they connect. They can also make only specific parts of the particles’ surfaces sticky so they form different patterns.

“The challenge with both of those approaches is they’re difficult to do synthetically as we make the particles,” Macfarlane explains. “The methods for defining stickiness that have been developed are always bespoke: They work for one material, at one size scale, in one condition. It’s good for studying, but you can’t do much with it.”

Both methods also require connector molecules, called ligands, at the surface of the nanoparticles to be rigid so they stay at the specific angles needed to maintain the formation researchers want, which further limits their functionality.

For their new study, the researchers wanted to turn that approach on its head.

“We thought, ‘Let’s do the exact opposite: make the bonds so flexible it doesn’t matter what direction they’re initially pointing.’ The ligands can then reorganize as the particles come together, and that reorganization itself limits how many neighbors each particle can bind,” Macfarlane says.

Macfarlane’s group has spent years creating ways to make different kinds of particles from grafts of polymers. The nanoparticles in their new system have flexible ligands with electrically charged tips, some positively charged and others negatively charged. The opposites attract, so the ligands bend to connect with opposite charges.

“The idea is, instead of defining a specific direction the bonds are going to occur in with complicated synthesis methods, we just said, ‘The bonds are going to be as flexible as they want to be, and they’ll spontaneously go to whatever valency is going to maximize bond stability,’” Macfarlane says.

In experiments led by Sbalbi, the researchers showed they could control the connections by changing the nanoparticle sizes and ligand chain lengths. They also used the technique to assemble the nanoparticles into previously unseen crystal structures.

“Without having to predesign where the particles connect or what their shapes are, we can control the number of bonds each particle has,” Macfarlane explains. “The amount of flexibility of the polymer dictates how many bonds it has. It allows us to lower the number of bonds each particle has and make lattices we have never seen before.”

A new path toward customizable materials

Macfarlane believes the system is a step toward getting custom nanoparticle-based materials out of the research lab and into the world.

“We in the nanoparticle assembly community talk about having completely independent control over what your particle is and what assembly it goes into,” Macfarlane says. “In theory, that should be the case. In reality, it absolutely has not been.”

More broadly, the researchers say their approach establishes ligand flexibility as a new path to making material structures that can be customized at scale.

“Nanoparticle superlattices offer a way to create designer materials where your building blocks have all sort sorts of unique properties,” Macfarlane says. “But just densely packing these nanoparticles together limits your applications. This offers a way to get less dense formations of nanoparticles, and that’s where a lot of the interesting applications are.”

The work was supported, in part, by the National Science Foundation, the Department of Energy, the U.S. Army and the U.S. Navy.

Regina Barzilay, MIT’s School of Engineering Distinguished Professor of AI and Health, and James Collins, MIT’s Termeer Professor of Medical Engineering and Science, are the recipients of the 2026 Pritzker Prize for AI in Science Research Excellence. 

The award recognizes their joint work in “pioneering AI-enabled antibiotic discovery, integrating deep learning, bioengineering, and experimental validation to identify novel antibacterial candidates against drug-resistant pathogens.” 

Established in 2024 by the University of Chicago in partnership with Caltech, the Pritzker Prize for AI in Science Research Excellence recognizes contributions that jointly advance AI and the natural sciences or engineering.

Barzilay and Collins, who are faculty co-leads of the Abdul Latif Jameel Clinic for Machine Learning in Health (Jameel Clinic) and affiliates of the MIT Schwarzman College of Computing and the MIT School of Engineering, published their first breakthrough paper together in 2020 with then-MIT postdoc and first author Jonathan Stokes (who worked in the Collins lab from 2017 to 2021) in Cell. The paper described the first artificial intelligence-discovered antibiotic, called halicin, named for the fictional AI system HAL 9000 in Stanley Kubrick’s 1968 film 2001: A Space Odyssey.

A broad-spectrum antibiotic that was originally studied as a potential diabetes drug, halicin was identified by a deep learning model trained on 2,500 molecules. Upon testing, the research team found that halicin was able to kill antibiotic-resistant bacteria (i.e., “superbugs”) such as Clostridium difficile, Acinetobacter baumannii, and Mycobacterium tuberculosis. A discovery process that once took years was completed in just a few weeks. Amidst the growing alarm around the global antimicrobial resistance crisis, the results demonstrated that AI could prove to be an effective tool for rapidly identifying new and effective antibiotics.

Following halicin, Barzilay and Collins worked with Stokes (now an assistant professor at McMaster University) to use machine learning to identify abaucin in 2023, a narrow-spectrum antibiotic demonstrating effectiveness against A. baumannii, an antibiotic-resistant bacteria commonly found on hospital doorknobs and in the wounds of U.S. soldiers stationed in Iraq and Afghanistan. Notably, abaucin’s “narrow spectrum” efficacy against a single species of treatment-resistant bacteria is its main advantage, minimizing the likelihood of bacteria developing resistance and harming beneficial bacteria in the gut.

“Historically, antibiotic discovery has depended on laborious, trial-and-error strategies,” says Collins. “This process is slow, costly, and unpredictable, often yielding few viable antibiotic candidates. With generative AI, we're now seeing a shift from AI being used as a tool for discovery to AI being used as a design tool. This shift opens new frontiers in antibiotic discovery that could bring us the next generation of lifesaving drugs.”

In Barzilay’s view, “despite significant progress in molecular modeling, we are still in early stages of drug discovery. With AI, we can only automate parts of the pipeline, rather than totally transforming the discovery process. To make it happen, we need to work really hard to build realistic AI models of human biology.”

Cambridge is booming with innovation, food, music, and history, highlighted in detail by the Cambridge Office for Tourism’s “Unpack my Cambridge” video series.  

Reporting from Kendall Square – “the most innovative square mile on the planet” – MIT President Sally Kornbluth shares some of her favorite spots, and sweets, around the city. 

To help you plan a visit in real life, more information on the different stops is below. You can find even more on the Cambridge Office for Tourism’s Kendall Square neighborhood page. 

MIT Welcome Center 

Kornbluth encourages visitors to begin your MIT journey with a tour at the Welcome Center, directly across from the Kendall Square T station. 

On your tour you will visit landmarks such as the iconic MIT Dome and take a look at the many public art installations around campus. For prospective students and families, this is also an opportunity to learn more about the admissions process as you immerse yourself in the MIT community. 

MIT Museum 

Ready for some science? Kornbluth welcomes you to visit the MIT Museum, which has wonderful science exhibits, and is now home to MIT Future Fest.

The inaugural Future Fest, which MIT plans to hold annually, was a five-day festival exploring the future of science, technology, art and design through more than 50 public talks, tours, performances, exhibitions, installations, open laboratories, and more.

Throughout the year, admission to the MIT Museum is free for MIT community members as well as Cambridge residents. Current exhibits include “Sensing Oceans” and the original 33-inch Starship Enterprise from the opening credits of the “Star Trek” series, which is docked at the museum until March 28, 2027. 

Harvard Bridge Smoot Markings 

Kornbluth’s tour makes a stop at the Harvard Bridge, a short walk from campus, where you will likely see the words “Smoot” painted on the sidewalk, accompanied by a number between 1 and 364.4. 

“I remember when I first visited Cambridge, I was walking across the bridge on Mass Ave, and I noticed these markings,” Kornbluth shares.

This standard distance measurement corresponds to the length of one Oliver Smoot ’62, an MIT graduate who, with the help of his fraternity measured the entire bridge using his height (5 feet 7 inches) in 1958. See if you can find the marking that adds an ear! 

Charles River

Kornbluth invites you to “not only to enjoy Cambridge indoors but also enjoy Cambridge outdoors” on the banks of the Charles River, which runs parallel to MIT’s campus. She refers to the Charles as one of Cambridge’s ‘gems,’ complete with “walking paths, the bike paths, and kayaking opportunities.” 

Thomas Tull Concert Hall 

If you’re in the mood for some music, you’re in luck. “Turns out that the students at MIT, many of them are professional quality musicians,” Kornbluth says, as she highlights MIT’s own Thomas Tull Concert Hall, located inside the Edward & Joyce Linde Music Building on campus. 

At Tull Hall, you can check out a concert by one of MIT’s jazz, classical, or contemporary ensembles, attend a talk from a guest speaker, or even catch a live DJ set. 

Whichever performance you choose, you can expect some quality sound, brought to you in part by thoughtful details such as the building’s high ceilings and curved wall panels. “Using MIT's know-how, it was constructed for the best acoustics,” Kornbluth notes. 

Eastern Edge Food Hall

With all the activities on and off campus, it’s easy to work up an appetite. As Kornbluth quips, “MIT is certainly in the food game.”

She recommends the wide, globally inspired selections available at the new Eastern Edge Food Hall, including tacos, burgers, and barbecue. Eastern Edge is located along Main Street and easily accessible from the Kendall/MIT station on the MBTA Red Line. 

In the video, Kornbluth takes a moment to enjoy a chocolate vanilla soft serve twist from Eastern Edge’s Bacaro, a venetian inspired cafe and bar. 

Ice cream and beyond 

“If you like ice cream, Cambridge is a good place for you,” Kornbluth emphasizes. “I'd be remiss if I didn't mention Momma's Grocery for maple, Honeycomb Creamery, J.P. Licks. Lots of opportunities!” 

Looking for more eats? A new page on OpenTable highlights restaurants throughout Kendall Square. 

“We hope to see you here soon on a visit to MIT, whether you are a prospective student, whether you are a tourist or whether you are just someone who likes really cool things,” says Kornbluth. 

Watch and share

“Unpack My Cambridge” with MIT’s Sally Kornbluth can be found on the Cambridge Office for Tourism’s LinkedIn, Facebook, and Instagram pages. 

The social campaign also features reels with author Alice Hoffman; chef Jason Doo; former Mayor Denise Simmons; Mayor Sumbul Siddiqui, among other Cambridge denizens. 

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Fish that are cultivated in pools or ponds are an increasingly important source of food around the world. Unfortunately, disease outbreaks can cause substantial losses in aquaculture. 

Fish farmers use vaccines to prevent disease outbreaks just like regular farmers, but vaccinating a fish is a lot harder than vaccinating a cow. The most effective way to vaccinate fish today uses needles, but there are several downsides to this process, both for the fish and the farmers. 

Now a team of researchers at MIT and the U.S. Department of Agriculture has developed a potentially better way to deliver vaccines. The approach uses water-resistant, food-grade microneedles that can lightly penetrate and remain attached to fish skin before decomposing. In a new paper published in ACS Nano, the researchers described their system and showed it could be used to deliver a range of cargos, such as bacterial vaccines.

“To feed the world we need more fish, which are a major source of protein and nutrition,” says Benedetto Marelli, a professor in the Department of Civil and Environmental Engineering. “Aquaculture is a very effective way of producing a large amount of fish. Our approach could give farmers a more precise tool to maintain fish health. Farmers are really concerned about the health care of these fish, so providing them with better tools is really important.”

Joining Marelli on the paper are Meng Li, an MIT postdoc and first author on the paper; Jad Raad MEng ’24; Yunteng Cao PhD ’22, a postdoc at Yale University; Yue Hu, a former MIT postdoc; Colleen Wolfe MEng ’23; Doyoon Kim, a former MIT postdoc; Bradley Frank, a current MIT postdoc; and Gregory Wiens, a researcher at the U.S. Department of Agriculture’s National Center for Cool and Cold Water Aquaculture.

Better vaccine delivery

Aquaculture holds enormous potential to address food insecurity, reduce energy consumption, and decarbonize global food systems. In 2021, for the first time, farmed aquatic animals exceeded wild-caught aquatic animals in global food production by weight.

“The world’s population is going to grow by almost 2 billion people by 2050,” Marelli says. “Fish provide access to essential nutrition. They are high in protein and healthy fat, which are difficult to make, so the world is trying to produce more fish. But there are many challenges associated with fisheries.”

To prevent losses to disease, farmers use a range of automated and manual vaccination strategies, each with their own drawbacks. Some treatments can go into fish food, but those might not reach every fish. Another method is putting the treatment directly in a pool and immersing the fish in the treated water. That approach requires far higher quantities of treatment and, again, isn’t 100 percent effective.

The most effective way to vaccinate fish is with metal needles. The process requires farmers to sedate the fish, then get them out of the water and onto a conveyor belt, where workers hurry to vaccinate the fish and get them back in the water to minimize harm.

“Workers inject fish one by one,” Li explains. “It’s high intensity, there’s a risk of cross contamination of blood-borne diseases, and workers may accidentally jab themselves because they are working so quickly. So it’s labor intensive, costly, stressful for fish, and dangerous for workers.”

Marelli’s lab has been developing silk microneedles to deliver nutrients to plants for years. The silk has been classified as safe for human consumption in food coatings and can degrade in the body or in the environment over time.

A few years ago, Marelli learned about the challenges with vaccinating fish at a conference in Southeast Asia, where aquaculture is an especially important part of the aquatic food supply. His lab received support from the Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) to explore adapting the silk platform he’d developed for underwater use for fish. But the early silk designs would quickly dissolve when exposed to water, releasing the vaccine immediately and failing to penetrate fish skin.

Li, a biomedical engineer, started to work on the project in Marelli’s lab beginning in 2022. In 2024, she received a fellowship from the USDA, which provided funding as well as important connections with collaborators at the agency and beyond. For example, the U.S. Geological Survey gave the researchers access to a DNA vaccine for rainbow trout.

Marelli credits Li with finding a way around silk’s tendency to soften when exposed to water. The system described in the new paper uses a thin layer of shellac, an insect-secreted resin used in food coating and pills, to make silk microneedles water-resistant by providing a moisture barrier that remains intact before fish injection.

“The material choice is critical because we’re dealing with food, even though we expect the microneedle to fall out of the fish or to be degraded in their body,” Li says. “Our criteria were safety for fish and humans alike.”

The researchers showed the microneedles can store a range of vaccines, and they demonstrated different versions of the microneedles that lasted longer in the water or diffused vaccines more quickly.

“In some cases, you may want the vaccine released within 15 minutes, but in others, the release can last 10 or even 24 hours,” Li says. “That could be better for other therapeutic uses beyond vaccines.”

The microneedles were also able to preserve half of the DNA plasmids’ structure when stored for four weeks in dry conditions.

“That stability is important, particularly for the last mile of delivery, because aquaculture is mostly done in rural areas,” Marelli says. “This allows farmers to not need to rely on the infrastructure to maintain the cold chain.”

Protecting fish

Just like terrestrial animal vaccines, fish vaccines are most effective when administered early in life before disease exposure. That means the fish that farmers want to inject are small, further complicating vaccination. The researchers believe their approach could offer a better way to vaccinate small fish, and they tested it in rainbow trout.

“In trout aquaculture, one of the biggest challenges we face is preventing disease early in a fish’s life, because traditional needle‑based vaccination just doesn’t work well until the fish reach about 30 grams, which leaves the smallest juveniles unprotected during a critical growth period,” says Wiens. “What our research shows is food‑grade silk fibroin microneedles can deliver vaccines underwater to fish as small as 1 to 2 grams. We designed these single‑use microneedles to pierce wet skin, stay attached while the fish swim, and release either bacterin or DNA vaccines in a controlled way.”

The researchers say there is still work to be done before their device can be seamlessly used at scale in fish farms. But they believe this paper is an important first step.

“We have all the components to believe this technology could be developed further,” Marelli says. “There are so many challenges with aquaculture and fish vaccination right now. We need to support farmers to operate safely, improve working conditions, protect their business, make vaccination more accessible, and improve the living conditions of farmed fish and ultimately the quality of the food we eat. This new technology could be a much more effective and safer approach.”

The work was supported, in part, by MIT’s Abdul Latif Jameel Water and Food Systems Lab and the U.S. Department of Agriculture.

Five MIT faculty members and two additional alumni were recently named to the 2026 cohort of AI2050 Fellows. The honor is announced annually by Schmidt Sciences, Eric and Wendy Schmidt’s philanthropic initiative that aims to accelerate scientific innovation. 

Conceived and co-chaired by Eric Schmidt and James Manyika, AI2050 is a philanthropic initiative aimed at helping to solve hard problems in artificial intelligence. Within their research, each fellow will contend with the central motivating question of AI2050: “It’s 2050. AI has turned out to be hugely beneficial to society. What happened? What are the most important problems we solved and the opportunities and possibilities we realized to ensure this outcome?”

AI2050 Senior Fellow

Sendhil Mullainathan is the Peter de Florez Professor at MIT with dual appointments in the departments of Economics and Electrical Engineering and Computer Science who is also a principal investigator at the MIT Laboratory for Information and Decision Systems. His current research is at the intersection of algorithms and people, with a central focus on launching The Bike Shop@MIT, a new research center that works toward more human-centered AI through scalable bicycles for the mind, and innovative new gears for machine learning algorithms. Mullainathan is the co-founder of ideas42, a nonprofit to apply behavioral science; MIT's Abdul Latif Jameel Poverty Action Lab, which promotes the use of randomized control trials in development; and Dandelion Health, which combines proprietary AI tools with real-world patient data. He's the co-author of "Scarcity: Why Having Too Little Means So Much."

Among other awards, he is a recipient of the MacArthur “Genius Grant”; has been designated a “Young Global Leader” by the World Economic Forum; was labeled a “Top 100 Thinker” by Foreign Policy Magazine; and was named to the “Smart List: 50 people who will change the world” by Wired Magazine (U.K.). He serves on the board of the MacArthur Foundation, is affiliated with the NBER and BREAD, and is a member of the American Academy of Arts and Sciences. His AI2050 project focuses on the translation of patterns detectable by AI into testable theories.

AI2050 Early Career Fellows

Alex Damian is an assistant professor in the Department of Mathematics, holding an MIT Schwarzman College of Computing shared position with the Department of Electrical Engineering and Computer Science, who is also a principal investigator at the MIT Laboratory for Information and Decision Systems. His research focuses on the mathematical foundations of deep learning, with an emphasis on optimization dynamics and representation learning. He was previously a research fellow at the Kempner Institute at Harvard University. He received his PhD in applied and computational mathematics from Princeton University and his BS in mathematics from Duke University. His AI2050 project focuses on effective AI model training.

Bailey Flanigan is a Theodore T. Miller (1922) Career Development Assistant Professor at MIT, holding an MIT Schwarzman College of Computing shared position with the departments of Electrical Engineering and Computer Science and Political Science, and is also a principal investigator at the MIT Laboratory for Information and Decision Systems. She received her PhD in computer science from Carnegie Mellon University in 2024. In 2024-25, she was a Harvard Data Science Initiative Fellow, hosted at the Harvard Ash Center for Democratic Innovation. Her research combines tools from across disciplines (including social choice theory, game theory, algorithms, statistics, and survey methods) to advance political methodology and strengthen public participation in democracy. She is specifically interested in sampling algorithms, opinion measurement/preference elicitation, and the design of democratic innovations like deliberative minipublics and participatory budgeting. Her AI2050 project focuses on gathering structured public input that lawmakers can use when making complex decisions.

Yunha Hwang is the Samuel A. Goldblitch Career Development Assistant Professor at MIT, holding an MIT Schwarzman College of Computing shared position with the departments of Electrical Engineering and Computer Science and Biology. She is also a principal investigator at the MIT Laboratory for Information and Decision Systems. Hwang serves as the co-founder and chief scientist at Tatta Bio, a scientific nonprofit dedicated to advancing genomic AI for biological discovery. She received her PhD in biology from Harvard University and BS in computer science from Stanford University. Her research interests span machine learning for microbial evolution, biomanufacturing, and open science. Her AI 2050 project focuses on determining biological enzyme functions. 

Manish Raghavan is the Drew Houston (2005) Career Development Professor at the MIT Sloan School of Management, holding an MIT Schwarzman College of Computing shared position with the Department of Electrical Engineering and Computer Science. He is also a principal investigator at the MIT Laboratory for Information and Decision Systems. Before that, he was a postdoc at the Harvard Center for Research on Computation and Society. Raghavan received his bachelor’s degree in electrical engineering and computer science from the University of California at Berkeley, and PhD from Cornell University. His research interests lie in the application of computational techniques to domains of social concern, including algorithmic fairness and behavioral economics, with a particular focus on the use of algorithmic tools in the hiring pipeline. His AI2050 project focuses on mitigating negative effects, and strengthening positive aspects, of widespread AI reliance. 

MIT alumni Irene Chen PhD '22 and Allison Z. Koenecke '14 as well as former postdoc Juan Carlos Perdomo were also named AI2050 Early Career Fellows.

The Applied Research Training in Evaluation, Methods, and Impact Studies (ARTEMIS) program, launched by J-PAL North America, equips early-career researchers with high-level technical training and practical skills to design randomized evaluations (also referred to as a randomized controlled trials, or RCTs) on issues of poverty in the U.S. context. Fully funded and highly rigorous, the program's inaugural cohort of 20 participants — including PhD students through pre-tenure faculty — is receiving training, mentorship, and proposal development support through December. 

ARTEMIS is the newest offering within J-PAL North America’s Economics Pathways program, which broadens and strengthens the pipeline of economics researchers by providing support to aspiring scholars at every stage — from undergraduate interns to research staff and, now, academic researchers preparing to launch their first randomized evaluations.

ARTEMIS programming commenced this past June with the Summer Institute — an intensive weeklong course at MIT Endicott House in Dedham, Massachusetts, that focused on delivering technical content and building participants' practical skills and confidence to design and pursue funding for rigorous evaluations to address poverty in the United States. During the Summer Institute, participants had the opportunity to learn from researchers in the J-PAL network, including Gerald Daniels, associate professor of economics at Howard University, who served as a lecturer for the program. “ARTEMIS is an amazing program that bridges the gap for researchers who haven't previously had the opportunity to work with randomized evaluations,” notes Daniels. “It takes rigorous methodologies, like randomized evaluations, and makes them approachable, helping scholars translate their research ideas into high-impact evaluation designs." 

The inaugural cohort brought together early-career researchers from institutions across the United States, each tackling a research question addressing an issue related to poverty that is well-suited for a randomized evaluation. Their interests spanned the breadth of J-PAL’s work, touching on education, climate, health and labor markets, racial equity, and social protection — reflecting the wide range of policy questions that rigorous, evidence-based research can help answer. 

“I really appreciated being a part of the ARTEMIS Institute this summer,” says Felipe Juan, an ARTEMIS inaugural cohort participant. “I initially thought the randomized evaluation methodology would be out of reach for me, but the summer training helped to break down the practical steps of conducting an RCT and identify creative ways to approach experimental designs.” 

Bolstered by the intensive Summer Institute training, ARTEMIS participants are now engaging in six months of continued study design and proposal development support, including proposal webinars with J-PAL grants staff and office hours with senior technical staff who will advise on study design and proposal challenges. ARTEMIS participants will also participate in a research design workshop, where participants present their early-stage RCT designs and receive feedback from the broader J-PAL research network. Finally, participants will receive introductions to researchers in the J-PAL network with shared research interests to forge connections that may lead to future collaboration and opportunities. Through this sustained mentorship model, ARTEMIS is designed to help participants bridge the gap between developing a promising research idea and launching a funded, policy-relevant randomized evaluation. 

For early-career researchers, this hands-on, sustained support has already proven to be transformative. “Participating in ARTEMIS Summer Institute was an incredibly valuable experience. The combination of lectures by experts in the design and implementation of randomized controlled trials, hands-on workshops, and thoughtful feedback helped me sharpen my research questions and think more carefully about research design, implementation, statistical power, and meaningful stakeholder engagement,” says Hoyoung Yoo, an ARTEMIS 2026 participant. “I also greatly appreciated the opportunity to learn from J-PAL faculty and staff and exchange ideas with an inspiring group of fellow researchers. I left the training with a clearer path toward transforming an early-stage idea into a feasible, rigorous, and policy-relevant evaluation.” 

For many, the program’s value also extends beyond technical training to the community and long-term relationships it builds. “J-PAL North America’s support has continued well beyond the Summer Institute, which has been especially valuable, and the connections I made have already started shaping how I am approaching the work,” notes Tessie Krishna, an ARTEMIS 2026 participant. “I left with a clearer proposal, a wider network, and a real sense of belonging in the J-PAL community. I am grateful to the J-PAL team for creating something so thoughtful and welcoming.” 

By building the technical capacity and confidence of the next generation of researchers, ARTEMIS is advancing J-PAL’s global mission to reduce poverty by ensuring that policy is informed by rigorous, scientific evidence. Every individual trained through ARTEMIS is joining a growing network of researchers working to answer the most critical questions of today. 

ARTEMIS is made possible by grants from Arnold Ventures, Russell Sage Foundation, and the Alfred P. Sloan Foundation. Visit the J-PAL website for more information about ARTEMIS and the Economics Pathways program.

Global warming, the observed increase in the Earth’s average global surface temperature since preindustrial (1850-1900) times, currently stands at around 1.63 degrees Celsius. While this number is expected to continue to rise, local temperatures will not go up uniformly around the world. In regions where warming trends are most pronounced, local adaptation and resilience measures will be especially critical to minimizing risks to ecosystems, agricultural productivity, the built environment, human health, and economic well-being. 

To that end, a new open-access study in the journal Scientific Data identifies the highest-risk regions for warming within the United States. Using data from well-known, high-resolution climate and weather datasets (MERRA2 and ERA5) covering the years 1980-2022, researchers at the MIT Center for Sustainability Science and Strategy (CS3) report global warming-attributed trends in monthly-averaged maximum daily temperature for every U.S. state. 

The study finds that Alaska, Utah, New Mexico, Colorado, and Nevada have experienced the strongest average warming trends; the lowest occurred in Hawaii, Montana, North Dakota, South Dakota, and Arkansas. Across the country, warming trends were most pronounced during the summer and fall, particularly in September and November. Alaska has the highest historical maximum daily temperature warming (an average of 2.5 C of monthly-averaged maximum daily temperature increase per degree of global warming), while Hawaii has the lowest average historical warming, at 0.8 C. 

The authors expect that barring unforeseen local anomalies, these state-by-state temperature trends will continue unabated as ongoing global emissions from human activities continue to raise the average global temperature.

“Based on these results, we encourage decision-makers to assess states that have undergone the steepest increases in maximum and minimum daily temperatures, and identify where continued trends would indicate a rapid progression toward thresholds beyond which natural and managed resources, ecosystems, and infrastructure can function safely,” says MIT CS3 Deputy Director C. Adam Schlosser, a co-author of the study. “In such cases, triaging and adaptive measures would take a high priority. By directing resources to where they are needed most, state and regional planners could significantly reduce climate-related physical and financial risks.”

Unlike previous efforts to report temperature trends across the United States, this study aggregates average maximum, minimum, and mean daily temperature data at the state level for each month of the year, providing actionable information for planners in government, industry, and civil society.

People are peppering artificial intelligence chatbots everyday with questions, but when it comes to politics and the looming 2026 U.S. midterm elections, what role are AI platforms playing? Could an AI chatbot sway a voter to switch parties or re-examine their political beliefs? 

MIT researchers have built a new dashboard, called the LLM Election Observatory, to examine, in real-time, how popular AI chatbots are responding to questions about the 2026 midterm elections. The team behind the dashboard — led by Professor Adam Berinsky, Assistant Professor Chara Podimata, and Professor Charles Stewart III — has extensive experience studying voting and election administration, AI and misinformation, and how AI systems are impacting human decision making. In an effort to better understand how AI is shaping the election, they designed the dashboard to simulate how individuals across the country communicate with chatbots. 

The team tracks how different AI systems respond to the same fixed set of questions on a range of topics, including election certification, hot-button issues, result predictions, news coverage, and more. Every few days, the LLM Election Observatory team runs the questions through the chatbots again, monitoring how their responses vary as the election gets closer depending on user location, political party affiliation, identity and other factors. The goal of this work is not to merely understand how AI systems spread information, but also better comprehend how they are shaping political discourse and voter understanding of political issues across the country. 

MIT News chatted with Podimata, the Class of 1942 Career Development Professor, an assistant professor of operations research and statistics in the MIT Sloan School of Management, and a member of the Laboratory for Information and Decision Systems; and Berinsky, the Mitsui Professor and a professor in the Department of Political Science, about their work with the LLM Election Observatory, how AI could impact the midterms, and what voters should keep in mind when they interact with chatbots.

Q: What was the inspiration for this project and what are you hoping to learn through the LLM Election Observatory?

Podimata: People are increasingly using AI chatbots to find and make sense of political and election-related information. That makes it important to understand what information these systems actually provide, not just at one moment in time but throughout an election cycle. This is particularly challenging because the models themselves are continually getting updates, the political information inputs available to them are themselves changing, and their answers can depend on how a user asks a question or what information the user provides about themselves.

One basic problem is that we currently do not have a good historical record of this information environment. If an AI system gives a particular answer about an election today and gives a different answer several weeks later, it can be very difficult to reconstruct after the fact what voters would have seen at each point in time. One important goal of our project is simply to systematically document that environment as it develops and make the resulting data available to other researchers and to the public.

Ultimately, factual accuracy is only the first frontier. We absolutely need to understand whether chatbots provide accurate political information, but we also need to pay just as much attention to the subtler ways in which they may shape people’s understanding of political issues. Differences in framing, emphasis, uncertainty, and cited sources can matter enormously, even in the absence of outright misinformation.  

Q: Professor Podimata, you studied how LLMs shaped political discourse and information during the 2024 election. What were the main takeaways of that research and how did those findings inform this new project?

Podimata: The LLM Election Observatory builds on my previous work during the 2024 presidential election, which found evidence of meaningful variation in AI models’ responses over time and across prompt framings, as well as differences in how models characterized candidates and implicitly anticipated the election outcome. 

The 2026 midterms give us an opportunity to expand that work substantially. Midterm elections are particularly interesting because there are many state and local contests unfolding simultaneously, alongside broader national political narratives. Our new audit survey therefore asks both contest-specific questions about the U.S. House and Senate candidates, but also broader questions about voting information and other aspects of the election information environment.

Q: Why do you think it’s so important to be studying how chatbots are responding to political queries across different groups of users?

Podimata: We all build our own “microcosms” through our interactions with chatbots. And yet, we lack systematic ways of understanding how these individualized information environments are shaped by who we are or how they evolve over time as we and the information environment changes. 

For example, people may not realize that what their favorite chatbot tells them about a political issue may be quite different from what their friend’s favorite chatbot tells them about the exact same issue. And importantly, these differences matter even when the information being provided is factually correct. Chatbots may frame the same facts differently, emphasize different aspects of an issue, express different levels of uncertainty, or draw on entirely different sources, even when responding to identical queries between different users. As a result, two users may walk away with very different perceptions of the same underlying facts, without ever realizing that their experiences differed. 

In some ways, this brings back many of the concerns we (as researchers and society) have grappled with in the context of social media. On social media, users and researchers could, at least to some extent, observe the information circulating across different Facebook groups, Instagram accounts, or TikTok communities. With chatbots, these information environments are largely invisible to anyone outside the individual conversation. We cannot easily observe what different users are being told, let alone systematically compare those responses or track how they change over time. This is precisely why projects like the LLM Election Observatory are so important: By systematically collecting and publicly sharing chatbot responses, we can begin to make these otherwise invisible differences observable and open to scrutiny.

Q: What sorts of questions and AI responses are you tracking through the dashboard?

Podimata: There are several questions we ultimately want this dataset to help us study. For example: Do different models provide systematically different information for the same questions? Do their responses change over the course of the campaign? Does the answer a particular model gives change depending on how a user frames the question or describes themselves (e.g., does it change if the model gets informed that the user is a Democrat or a Republican)? And, finally, what are the sources that the models pull information from when answering election-related questions? 

Our public dashboard is an important part of the project. We want people both from and outside of academia to be able to see the data we are collecting as the election unfolds rather than only seeing the results months later in an academic paper. The dashboard therefore presents the underlying data and some preliminary descriptive analyses, and we plan to make the dataset available for other researchers to study as well. We expect the dashboard to evolve as the data and our methods evolve.

Through this dashboard, we wanted to build on the scientific methodology we developed in 2024 but also to make the research much more accessible and useful to the public while the election is actually unfolding. Not only that, but the addition of MIT political science experts in the team cannot be overstated; Adam and Charles have really helped expand the questions that we are asking in our audit.

Q: What do you wish voters across the country knew about AI chatbots when it comes to searching for election information?

Berinsky: People should be sure to remember that just because a chatbot sounds confident doesn’t mean it is accurate. AI systems are designed to answer the questions that people ask them in an authoritative voice even when they are wrong, incomplete, or leaning on a weak source. These answers are a reasonable place to start, but voters shouldn’t stop there.

Q: What are your findings thus far?

Podimata: We have not yet done the full, longitudinal analysis, so we are only going to talk about broad strokes here, but a few broad patterns seem to be visible in the 2026 data. Across the different user identities we present, we see differences in how the answers are presented, in which sources a model cites, and in tone — sometimes even when the underlying facts are the same. What we cannot yet say is how stable those differences are, how they move over the course of the election, or how a real person would read and react to them. Our future analyses will take this up. It also underscores why the continuous record of responses we are collecting matters more than any single snapshot that you might see in the days around the election.

Q: Professor Berinsky, your research has also shown that in some cases AI chatbots can be harnessed to help refute misinformation. Can you talk a bit about this?

Berinsky: In my undergraduate course on information and social media I have been talking for a while about how AI can cut both ways. On one hand, these tools can generate misleading claims in text, pictures, and video at a scale we have never seen. Basically, AI can help bad actors “flood the zone” with misinformation. On the other hand, some of the most promising recent work demonstrates that evidence-based dialogues with a chatbot can durably reduce belief in conspiracy theories and other beliefs that are not supported by the balance of publicly available evidence. 

AI has the potential to do such debunking at scale — something we have long struggled to do. The lesson from decades of misinformation research is that any technology (be it print, radio, or television in earlier eras) is not inherently good or bad for promoting truth. The devil is in the details in how it is built and deployed. Independent auditing like this project can help us assess the ultimate impact of such technologies.

Q: Can you talk a bit about your overall goal with this research? 

Podimata: AI is a transformative technology, and people understandably have very different expectations (and feelings) about what it will mean for society at large. All of us have people in our lives that are overly enthusiastic about AI, others that are deeply concerned, and many more that are somewhere in between trying to understand what this technology can and cannot do. Our goal here is not to begin from the assumption that AI is either good or bad for elections. Instead, we hope to shed some light onto one part of this transformation: what information major AI systems are actually giving people about an election as it unfolds.

A nanoscale particle with a unique structure, developed at MIT, holds potential as a customizable delivery vehicle for personalized cancer vaccines.

The backbone of the vaccine is a modified, harmless bacteriophage called M13, which forms a nanofiber that can be coated with cancer antigens. By precisely controlling the density of those cancer proteins, the researchers found that they could create a vaccine that prevents the development of colon tumors in mice.

This type of delivery particle could be adapted to carry many different antigens, allowing for the creation of personalized vaccines to treat individual patients’ tumors, the researchers say.

“The great thing about this is that it’s modular and we could switch out different antigens on demand, so you could design it to be patient-specific and target a known antigen for a particular kind of cancer,” says Angela Belcher, the James Mason Crafts Professor of Biological Engineering and Materials Science and Engineering and a member of the Koch Institute.

Belcher is the senior author of the study, which appears today in the journal Advanced Healthcare Materials. Shengnan Huang, research scientist at the Koch Institute, is the paper’s lead author. Jack Rudrum, Huaiyao Peng, and Hao Nghi Luu, graduate students at the Koch Institute, are also authors of the paper.

Viral vaccine assembly

For more than 20 years, Belcher’s lab has been deploying the M13 bacteriophage in a variety of applications. This virus, which is harmless to humans, consists of a single strand of DNA coated in a protein shell, or capsid. 

Belcher has previously developed techniques for generating materials by engineering these viruses to self-assemble into nanoscale scaffolds. By coating these scaffolds with inorganic materials, they can create functional devices such as batteries, semiconductors, solar cells, and catalysts, with precise control over the electronic, optical, and magnetic properties of the materials.

More recently, Belcher’s lab has been developing methods to control features of the phage that could allow it to be repurposed for medical applications, including vaccine delivery. 

“We’re taking this toolkit that we’ve worked on and developed over decades and formatting it to be specific for vaccine therapeutics,” Belcher says. “Some of the lessons learned from making batteries and all these other things are now being fine-tuned to make personalized vaccines.”

The capsid that surrounds the M13 phage forms a long filament made from viral proteins. To create vaccines, the researchers modify one of these proteins, known as pVIII, by attaching an antigen to the end of the protein. This can be done by adding the gene for the antigen to the virus’s DNA.

Some of the lab’s previous work had suggested that changing the density of cancer antigens attached to the capsid could affect the strength of the resulting immune response. In the new study, Huang wanted to find a way to control that density. 

“The antigen is the specific target we want to initiate the immune response against, which means we have to ensure the right dose of antigen to make sure that we can have a strong immune response,” she says.

Huang discovered that she could increase the density of the modified pVIII proteins by adding one or two negatively charged amino acids to the protein sequence. The density could be further fine-tuned by adding a genetic mutation that slows down production of the antigen protein.

In this study, the researchers also figured out how to boost the phage’s own ability to act as a vaccine adjuvant, by changing the genetic sequence of the virus’s DNA. Most vaccines need to be delivered along with an adjuvant such as aluminum hydroxide, which helps to stimulate a strong immune response. However, the M13 phage can act as an adjuvant itself because single-stranded DNA activates a pathway called TLR9, which is part of the body’s innate immune system.

“We can control the exact length. We can control the exact antigen expression, density, pattern, the exact adjuvant amount. A lot of times with a vaccine, you’ll have to put a different adjuvant with it, but now it’s all genetically encoded,” Belcher says. 

Targeting tumors

Using these techniques, the researchers showed that they could design phages that express an antigen called SIINFEKL at densities ranging from 6 percent to 70 percent. SIINFEKL, a small protein that can be engineered into tumors, is often used as a model to test vaccine effectiveness.

The researchers tested two of these vaccines in mice, one with 6 percent density and one with 35 percent, and found that the one with 35 percent was the most protective. 

After vaccination with the higher-density particles, mice were much less likely to develop tumors when later exposed to melanoma cancer cells expressing the SIINFEKL antigen. These mice also generated more T cells targeting SIINFEKL. This is, in part, because dendritic cells, which help to activate T cells, were more likely to take up vaccines with higher antigen density, the researchers found.

In another set of experiments, the researchers created and tested a vaccine carrying a neoantigen, which is only present in the tumor cells. This protein, known as ADPGK, is specifically expressed by colon tumors in a mouse model of cancer. When given the higher density vaccine, these mice were much less likely to develop colon tumors.

In this study, the researchers tested the vaccine as a way to prevent cancer from developing, and in their previous work, they adapted it for use to treat mouse colon tumors that have already formed. In the future, they also hope to use it to combat other types of cancer.

“This interesting work adds another cog to improve the translational potential of the M13 phage platform for cancer immunotherapeutics,” says Alberto Danielli, an associate professor of molecular biology at the University of Bologna, who was not involved in the study. “I look forward to seeing whether this platform is also effective against established tumors and whether additional tumor antigens can be displayed with comparable molecular and immunological efficacy.”

This platform could be especially well-suited for personalized cancer vaccines, because many different antigens could be swapped into the vaccine.

“Because this is a modularly engineered platform, we can change the antigen we are interested in. For colon cancer, we use this specific antigen. For other types of cancer, we can just plug in other antigens and they can be assembled in this platform,” Huang says.

The research was funded, in part, by the Koch Institute Frontier Research Program, the Marble Center for Cancer Nanomedicine, and the U.S. Defense Advanced Research Projects Agency.

You know it’s autumn when the scent of pumpkin spice latte begins to waft through the air at the Dunkin’ in the Stratton Student Center, and students in MIT’s Next House residence hall diligently begin to piece together the many parts needed to showcase Next Haunt — a combination of a Halloween haunted house and escape room, built in the basement of the hall.

Every fall since 2014, students — also known as hauntmasters — spend several weekends building the room and preparing puzzles, physical tasks, or word challenges to obtain a code to open locks that let participants escape the house. This year’s theme, titled “Where the Light Ends,” follows “Terror Under Destruction,” “Next Stop: MBTA,” and last year’s theme: “Get in the HOLE.”

Next Haunt is free and open to all MIT students, also known as “test subjects.” Participants typically spend around 20 minutes in small, dark, enclosed rooms, working with four to six teammates to find the clues they need to escape.

Along the way, they have to navigate zombies — played by student actors — who may shout at them or splash them with blood (fake) while they solve the puzzles. If a zombie touches a participant, they become “paralyzed” and can no longer move, but they can still communicate and relay information to their teammates.

Teams must work closely, strategize, delegate tasks, and communicate effectively as the clock counts down. The group with the quickest escape time gets bragging rights, and every group signs their names on a wooden board to show that they participated.

MIT junior Kiyoko Hayano, Next Haunt co-producer, says, “I became involved in Next Haunt during my first semester at MIT because I had experience with larger-scale painting. I split the build director’s role with two other freshmen, including Michelle Liang, our current assistant producer. I thought this would be a great opportunity to take a break from psets and work with my hands, and fell in love with the club.”

Safety first

Before the room is built and the puzzles and costumes are created, careful planning takes place to ensure the escape room is safe, fire-resistant, and passes an on-site inspection. MIT’s Campus Construction and Environment, Health, and Safety offices are involved from the start, and all students who partake in the build are required to attend safety orientation and tool training.

“We currently have 18 people on our executive team, and we have 12 outside volunteers come help over the first few weekends of Next Haunt build,” says Hayano. “We then run Next Haunt for six-and-a-half hours every night for two weekends at the end of October.”

Once the build is complete, several alumni volunteers conduct a “test run” to make sure the puzzles and clues are hard, but not impossible, and anyone who wants to leave the room before the allotted time can easily find the door out built with Velcro closures. 

Escaping by solving the puzzles is not easy, and not all participants are successful. Last year, only 16 percent of the 73 teams successfully got out of the room. The winning team escaped in just under 15 minutes.

Alumnus and previous Next Haunt producer Allen Lin ’26 notes, “I became involved with Next Haunt in my freshman year after being a test subject myself, and I loved the creative and building process so much I wanted to join. My favorite part was seeing all the teams go through the house, especially on the last day when we hosted past Haunt alumni. It was just as rewarding to see how much our test subjects enjoy the house as it was to share the many laughs and moments of camaraderie among my team. I’m excited to come back as an alum and see what the Next Haunt team built this year!”

Environmentally mindful

At the end of Next Haunt, the escape room is dismantled, and anything that can be repurposed safely is stored for the following year’s build. The executive crew then goes to a Boston-area escape room to celebrate their hard work.

“It’s a joy working collaboratively with students and connecting them to campus partners who lend their expertise as the build develops," says Milo Alto, manager of special projects, housing and residential services. “Students get very creative every year with the theme and costumes, but they also learn valuable leadership skills along the way — time management, delegation, working with peers, and implementation of a detailed plan. It’s also a great way to build community.”

Interested MIT students can sign up to help plan and work on the 2027 build.