MIT and GE Vernova today announced the creation of the MIT-GE Vernova Energy and Climate Alliance to help develop and scale sustainable energy systems across the globe.

The alliance launches a five-year collaboration between MIT and GE Vernova, a global energy company that spun off from General Electric’s energy business in 2024. The endeavor will encompass research, education, and career opportunities for students, faculty, and staff across MIT’s five schools and the MIT Schwarzman College of Computing. It will focus on three main themes: decarbonization, electrification, and renewables acceleration.

“This alliance will provide MIT students and researchers with a tremendous opportunity to work on energy solutions that could have real-world impact,” says Anantha Chandrakasan, MIT’s chief innovation and strategy officer and dean of the School of Engineering. “GE Vernova brings domain knowledge and expertise deploying these at scale. When our researchers develop new innovative technologies, GE Vernova is strongly positioned to bring them to global markets.”

Through the alliance, GE Vernova is sponsoring research projects at MIT and providing philanthropic support for MIT research fellowships. The company will also engage with MIT’s community through participation in corporate membership programs and professional education.

“It’s a privilege to combine forces with MIT’s world-class faculty and students as we work together to realize an optimistic, innovation-driven approach to solving the world’s most pressing challenges,” says Scott Strazik, GE Vernova CEO. “Through this alliance, we are proud to be able to help drive new technologies while at the same time inspire future leaders to play a meaningful role in deploying technology to improve the planet at companies like GE Vernova.”

“This alliance embodies the spirit of the MIT Climate Project — combining cutting-edge research, a shared drive to tackle today’s toughest energy challenges, and a deep sense of optimism about what we can achieve together,” says Sally Kornbluth, president of MIT. “With the combined strengths of MIT and GE Vernova, we have a unique opportunity to make transformative progress in the flagship areas of electrification, decarbonization, and renewables acceleration.”

The alliance, comprising a $50 million commitment, will operate within MIT’s Office of Innovation and Strategy. It will fund approximately 12 annual research projects relating to the three themes, as well as three master’s student projects in MIT’s Technology and Policy Program. The research projects will address challenges like developing and storing clean energy, as well as the creation of robust system architectures that help sustainable energy sources like solar, wind, advanced nuclear reactors, green hydrogen, and more compete with carbon-emitting sources.

The projects will be selected by a joint steering committee composed of representatives from MIT and GE Vernova, following an annual Institute-wide call for proposals.

The collaboration will also create approximately eight endowed GE Vernova research fellowships for MIT students, to be selected by faculty and beginning in the fall. There will also be 10 student internships that will span GE Vernova’s global operations, and GE Vernova will also sponsor programming through MIT’s New Engineering Education Transformation (NEET), which equips students with career-oriented experiential opportunities. Additionally, the alliance will create professional education programming for GE Vernova employees.

“The internships and fellowships will be designed to bring students into our ecosystem,” says GE Vernova Chief Corporate Affairs Officer Roger Martella. “Students will walk our factory floor, come to our labs, be a part of our management teams, and see how we operate as business leaders. They’ll get a sense for how what they’re learning in the classroom is being applied in the real world.”

Philanthropic support from GE Vernova will also support projects in MIT’s Human Insight Collaborative (MITHIC), which launched last fall to elevate human-centered research and teaching. The projects will allow faculty to explore how areas like energy and cybersecurity influence human behavior and experiences.

In connection with the alliance, GE Vernova is expected to join several MIT consortia and membership programs, helping foster collaborations and dialogue between industry experts and researchers and educators across campus.

With operations across more than 100 countries, GE Vernova designs, manufactures, and services technologies to generate, transfer, and store electricity with a mission to decarbonize the world. The company is headquartered in Kendall Square, right down the road from MIT, which its leaders say is not a coincidence.

“We’re really good at taking proven technologies and commercializing them and scaling them up through our labs,” Martella says. “MIT excels at coming up with those ideas and being a sort of time machine that thinks outside the box to create the future. That’s why this such a great fit: We both have a commitment to research, innovation, and technology.”

The alliance is the latest in MIT’s rapidly growing portfolio of research and innovation initiatives around sustainable energy systems, which also includes the Climate Project at MIT. Separate from, but complementary to, the MIT-GE Vernova Alliance, the Climate Project is a campus-wide effort to develop technological, behavioral, and policy solutions to some of the toughest problems impeding an effective global climate response.

It’s tricky to predict precisely what the impacts of climate change will be, given the many variables involved. To predict the impacts of a warmer world on plant life, some researchers look at urban “heat islands,” where, because of the effects of urban structures, temperatures consistently run a few degrees higher than those of the surrounding rural areas. This enables side-by-side comparisons of plant responses.

But a new study by researchers at MIT and Harvard University has found that, at least for forests, urban heat islands are a poor proxy for global warming, and this may have led researchers to underestimate the impacts of warming in some cases. The discrepancy, they found, has a lot to do with the limited genetic diversity of urban tree species.

The findings appear in the journal PNAS, in a paper by MIT postdoc Meghan Blumstein, professor of civil and environmental engineering David Des Marais, and four others.

“The appeal of these urban temperature gradients is, well, it’s already there,” says Des Marais. “We can’t look into the future, so why don’t we look across space, comparing rural and urban areas?” Because such data is easily obtainable, methods comparing the growth of plants in cities with similar plants outside them have been widely used, he says, and have been quite useful. Researchers did recognize some shortcomings to this approach, including significant differences in availability of some nutrients such as nitrogen. Still, “a lot of ecologists recognized that they weren’t perfect, but it was what we had,” he says.

Most of the research by Des Marais’ group is lab-based, under conditions tightly controlled for temperature, humidity, and carbon dioxide concentration. While there are a handful of experimental sites where conditions are modified out in the field, for example using heaters around one or a few trees, “those are super small-scale,” he says. “When you’re looking at these longer-term trends that are occurring over space that’s quite a bit larger than you could reasonably manipulate, an important question is, how do you control the variables?”

Temperature gradients have offered one approach to this problem, but Des Marais and his students have also been focusing on the genetics of the tree species involved, comparing those sampled in cities to the same species sampled in a natural forest nearby. And it turned out there were differences, even between trees that appeared similar.

“So, lo and behold, you think you’re only letting one variable change in your model, which is the temperature difference from an urban to a rural setting,” he says, “but in fact, it looks like there was also a genotypic diversity that was not being accounted for.”

The genetic differences meant that the plants being studied were not representative of those in the natural environment, and the researchers found that the difference was actually masking the impact of warming. The urban trees, they found, were less affected than their natural counterparts in terms of when the plants’ leaves grew and unfurled, or “leafed out,” in the spring.

The project began during the pandemic lockdown, when Blumstein was a graduate student. She had a grant to study red oak genotypes across New England, but was unable to travel because of lockdowns. So, she concentrated on trees that were within reach in Cambridge, Massachusetts. She then collaborated with people doing research at the Harvard Forest, a research forest in rural central Massachusetts. They collected three years of data from both locations, including the temperature profiles, the leafing-out timing, and the genetic profiles of the trees. Though the study was looking at red oaks specifically, the researchers say the findings are likely to apply to trees broadly.

At the time, researchers had just sequenced the oak tree genome, and that allowed Blumstein and her colleagues to look for subtle differences among the red oaks in the two locations. The differences they found showed that the urban trees were more resistant to the effects of warmer temperatures than were those in the natural environment.

“Initially, we saw these results and we were sort of like, oh, this is a bad thing,” Des Marais says. “Ecologists are getting this heat island effect wrong, which is true.” Fortunately, this can be easily corrected by factoring in genomic data. “It’s not that much more work, because sequencing genomes is so cheap and so straightforward. Now, if someone wants to look at an urban-rural gradient and make these kinds of predictions, well, that’s fine. You just have to add some information about the genomes.”

It's not surprising that this genetic variation exists, he says, since growers have learned by trial and error over the decades which varieties of trees tend to thrive in the difficult urban environment, with typically poor soil, poor drainage, and pollution. “As a result, there’s just not much genetic diversity in our trees within cities.”

The implications could be significant, Des Marais says. When the Intergovernmental Panel on Climate Change (IPCC) releases its regular reports on the status of the climate, “one of the tools the IPCC has to predict future responses to climate change with respect to temperature are these urban-to-rural gradients.” He hopes that these new findings will be incorporated into their next report, which is just being drafted. “If these results are generally true beyond red oaks, this suggests that the urban heat island approach to studying plant response to temperature is underpredicting how strong that response is.”

The research team included Sophie Webster, Robin Hopkins, and David Basler from Harvard University and Jie Yun from MIT. The work was supported by the National Science Foundation, the Bullard Fellowship at the Harvard Forest, and MIT.

As a college student in Serbia with a passion for math and physics, Ana Trišović found herself drawn to computer science and its practical, problem-solving approaches. It was then that she discovered MIT OpenCourseWare, part of MIT Open Learning, and decided to study a course on Data Analytics with Python in 2012 — something her school didn’t offer.

That experience was transformative, says Trišović, who is now a research scientist at the FutureTech lab within MIT’s Computer Science and Artificial Intelligence Laboratory.

“That course changed my life,” she says. “Throughout my career, I have considered myself a Python coder, and MIT OpenCourseWare made it possible. I was in my hometown on another continent, learning from MIT world-class resources. When I reflect on my path, it’s incredible.”

Over time, Trišović's path led her to explore a range of OpenCourseWare resources. She recalls that, as a non-native English speaker, some of the materials were challenging. But thanks to the variety of courses and learning opportunities available on OpenCourseWare, she was always able to find ones that suited her. She encourages anyone facing that same challenge to be persistent.

“If the first course doesn’t work for you, try another,” she says. “Being persistent and investing in yourself is the best thing a young person can do.”

In her home country of Serbia, Trišović earned undergraduate degrees in computer science and mechanical engineering before going on to Cambridge University and CERN, where she contributed to work on the Large Hadron Collider and completed her PhD in computer science in 2018. She has also done research at the University of Chicago and Harvard University.

“I like that computer science allows me to make an impact in a range of fields, but physics remains close to my heart, and I’m constantly inspired by it,” she says.

MIT FutureTech, an interdisciplinary research group, draws on computer science, economics, and management to identify computing trends that create risk and opportunities for sustainable economic growth. There, Trišović studies the democratization of AI, including the implications of open-source AI and how that will impact science. Her work at MIT is a chance to build on research she has been pursuing since she was in graduate school.

“My work focuses on computational social science. For many years, I’ve been looking at what's known as 'the science of science' — investigating issues like research reproducibility," Trišović explains. “Now, as AI becomes increasingly prevalent and introduces new challenges, I’m interested in examining a range of topics — from AI democratization to its effects on the scientific method and the broader landscape of science.”

Trišović is grateful that, way back in 2012, she made the decision to try something new and learn with an OpenCourseWare course.

“I instantly fell in love with Python the moment I took that course. I have such a soft spot for OpenCourseWare — it shaped my career,” she says. “Every day at MIT is inspiring. I work with people who are excited to talk about AI and other fascinating topics.”

You’re an aerospace engineer on a tight timeline to develop a component for a rocket engine. No sweat, you think — you know the concepts by heart, and the model looks appropriate in CAD. But you inspect the 3D-printed part that you’ve outsourced for manufacturing, and something is wrong. The impeller blade angle is off, and the diameter is larger than the design intent. The vendor won’t get back to you. Suddenly you’re over budget. Something is leaking. Running the pump test rig, you’re not sure where that vibration is coming from.

Successfully navigating nightmares like this can make or break an engineer, but real-time problem-solving during assembly is something few undergraduates experience as part of their curriculum. Enter class 16.811 (Advanced Manufacturing for Aerospace Engineers), a new communication-intensive laboratory course that allows juniors and seniors to drive a full engineering cycle, gaining experience that mirrors the challenges they’ll face as practicing engineers.

In just 13 weeks, students design, build, and test a laboratory-scale electric turbopump, the type of pump used in liquid rocket propulsion systems to deliver fuel and oxidizer to the combustion chamber under high pressure. Teams of two or three students work through the entire production process while balancing budgets, documenting, and testing.

The course was developed and taught by Zachary Cordero, Esther and Harold E. Edgerton Associate Professor, and Zoltán Spakovszky, the T. Wilson Professor in Aeronautics, along with a team of teaching assistants (TAs), technical instructors, and communication experts. It ran for the first time last fall, open to students who had completed Unified Engineering, the foundational Course 16 curriculum covering the four disciplines at the core of aerospace engineering. It generated so much interest upon its announcement that spots were allocated via lottery.

“Sometimes it’s assumed that students will get hands-on experience through their extracurriculars, but they may not. Students in this class gain that experience through exposure to cutting-edge design and manufacturing tools, like metal 3D printing,” says Cordero. “They don’t just learn how to solve a problem set — they learn how to be an engineer.”

Training for a rapidly evolving field

The course was born out of feedback from participants at an annual workshop that Cordero organizes each summer addressing materials challenges in reusable rocket engines. Attendees representing industry, government, and academic sectors consistently emphasized the need for the next generation of engineers to be familiar with advanced engineering concepts, in addition to having strong fundamentals. Experience with new computational design tools and processes like additive manufacturing is becoming essential for success in the aerospace industry. “Our mission is to train, inspire, and motivate the next generation of aerospace engineers. We have to listen to what our industry partners want from engineers and adapt our curriculum to meet those needs,” says Cordero.

Spakovszky, Cordero, and the team built the course over two years of Independent Activities Period workshops, developing independent modules that teach concepts for constructing the turbopump. The first set of labs focuses on the impellers — the rotating bladed-disk component that draws fluid into the pump to pressurize it. The second lab breaks down the rotor system that supports the pump impeller, and the third covers integration of the rotor assembly into the casing and final testing.

Throughout the course, students receive instruction in technical communication and training on the full array of machine shop tools available in the Arthur and Linda Gelb Laboratory. Beyond learning the concepts and tools, the majority of the design and implementation is up to the students.

“They are pushed to learn how to learn on their own,” says Spakovszky. “The key differentiator here is that there is no solution. In other classes, you have a problem, and the instructor has the solution. This is open ended, and every team has a different design.” Project management is left up to each team, with instructors and TAs serving as resources, rather than leads. Each team works with vendors to help bring their designs to life. The students conducted their machinery analysis using the Agile Engineering Design System (AEDS) and Advanced Rotating Machine Dynamics (ARMD) software tools from Concepts NREC. Impellers were printed at the MIT SHED (Safety Health Environmental Discovery lab), with support from Tolga Durak, managing director of environment, health and safety, and by industry collaborators at Desktop Metal.

“A lot of the design questions we were working with don’t have firm answers,” says junior Danishell Destefano. “I learned a lot about how to read technical literature and compare design trade-offs to make my own decisions.”

On the floor

“Making things is really hard,” says Spakovszky. “In addition to manufacturing parts and components, the assembly of rotating machinery requires careful tolerancing of the part dimensions and precision manufacturing of the interfaces to meet design specification.”

At the core of the curriculum is the manufacturing process itself, with its myriad components posing a unique challenge for students who may not have experienced the kind of rapid design cycle that is becoming more and more common in the field. The course uses concurrent engineering as a methodology to emphasize the close connections between fundamental concepts, functional requirements, design, materials, and manufacturing.

Student teams document their lab results in written reports and give regular progress presentations. Lecturer Jessie Stickgold-Sarah instructed the class on professional communication. At the end of the semester, students walk away with the ability to not only create new things, but communicate about their creations.

“I really enjoyed working with this group of students,” says Stickgold-Sarah. “The main paper and presentations required students to express the reasoning using the design-build-test sequence, and to explain and justify their choices based on their technical understanding of core topics. They were incredibly hard-working and dedicated, and the papers and presentations they produced exceeded my expectations.”

The course culminates in a final presentation, where teams showcase their findings and get feedback from their MIT instructors and industry representatives — potential future colleagues and employers.

Whether or not students go directly into a career in rocket or jet propulsion, the breadth of skills they learn in class has applications across disciplines. “The biggest skill I’ve gained is time and project management. To build a pump in a semester is a pretty tough timeline challenge, and learning how to manage my time and work with a team has been a great soft skill to learn,” says Destafano.

The course drives home the reality that the manufacturing process can be just as important as the product. “I hope through this, they gain confidence to explore the unknown and deal with uncertainty in engineering systems,” says Cordero. “In the real world, things are leaking. Things aren’t as you initially anticipated or behaving as you thought they would behave. And the students had to react and respond. That's real life. It's kind of intuitive, kind of common sense, sure — but you can hone that skill, and develop confidence in that skill.”

Metamaterials are artificially-structured materials with extraordinary properties not easily found in nature. With engineered three-dimensional (3D) geometries at the micro- and nanoscale, these architected materials achieve unique mechanical and physical properties with capabilities beyond those of conventional materials — and have emerged over the past decade as a promising way to engineering challenges where all other existing materials have lacked success.

Architected materials exhibit unique mechanical and functional properties, but their full potential remains untapped due to challenges in design, fabrication, and characterization. Improvements and scalability in this space could help transform a range of industries, from biomedical implants, sports equipment, automotive and aerospace, and energy and electronics.

“Advances in scalable fabrication, high-throughput testing, and AI-driven design optimization could revolutionize the mechanics and materials science disciplines, enabling smarter, more adaptive materials that redefine engineering and everyday technologies,” says Carlos Portela, the Robert N. Noyce Career Development Professor and assistant professor of mechanical engineering at MIT.

In a Perspective published this month in the journal Nature Materials, Portela and James Surjadi, a postdoc in mechanical engineering, discuss key hurdles, opportunities, and future applications in the field of mechanical metamaterials. The paper is titled “Enabling three-dimensional architected materials across length scales and timescales.”

“The future of the field requires innovation in fabricating these materials across length scales, from nano to macro, and progress in understanding them at a variety of time scales, from slow deformation to dynamic impact,” says Portela, adding that it also demands interdisciplinary collaboration.

A Perspective is a peer-reviewed content type that the journal uses to invite reflection or discussion on matters that may be speculative, controversial, or highly technical, and where the subject matter may not meet the criteria for a Review.

“We felt like our field, following substantial progress over the last decade, is still facing two bottlenecks: issues scaling up, and no knowledge or understanding of properties under dynamic conditions,” says Portela, discussing the decision to write the piece.

Portela and Surjadi’s paper summarizes state-of-the-art approaches and highlights existing knowledge gaps in material design, fabrication, and characterization. It also proposes a roadmap to accelerate the discovery of architected materials with programmable properties via the synergistic combination of high-throughput experimentation and computational efforts, toward leveraging emerging artificial intelligence and machine learning techniques for their design and optimization.

“High-throughput miniaturized experiments, non-contact characterization, and benchtop extreme-condition methods will generate rich datasets for the implementation of data-driven models, accelerating the optimization and discovery of metamaterials with unique properties,” says Surjadi.

The Portela Lab’s motto is “architected mechanics and materials across scales.” The Perspective aims to bridge the gap between fundamental research and real-world applications of next-generation architected materials, and it presents a vision the lab has been working toward for the past four years.

Six current MIT affiliates and 27 additional MIT alumni have been elected as fellows of the American Association for the Advancement of Science (AAAS). 

The 2024 class of AAAS Fellows includes 471 scientists, engineers, and innovators, spanning all 24 of AAAS disciplinary sections, who are being recognized for their scientifically and socially distinguished achievements.

Noubar Afeyan PhD ’87, life member of the MIT Corporation, was named a AAAS Fellow “for outstanding leadership in biotechnology, in particular mRNA therapeutics, and for advocacy for recognition of the contributions of immigrants to economic and scientific progress.” Afeyan is the founder and CEO of the venture creation company Flagship Pioneering, which has built over 100 science-based companies to transform human health and sustainability. He is also the chairman and cofounder of Moderna, which was awarded a 2024 National Medal of Technology and Innovation for the development of its Covid-19 vaccine. Afeyan earned his PhD in biochemical engineering at MIT in 1987 and was a senior lecturer at the MIT Sloan School of Management for 16 years, starting in 2000. Among other activities at the Institute, he serves on the advisory board of the MIT Abdul Latif Jameel Clinic for Machine Learning and delivered MIT’s 2024 Commencement address.

Cynthia Breazeal SM ’93, ScD ’00 is a professor of media arts and sciences at MIT, where she founded and directs the Personal Robots group in the MIT Media Lab. At MIT Open Learning, she is the MIT dean for digital learning, and in this role, she leverages her experience in emerging digital technologies and business, research, and strategic initiatives to lead Open Learning’s business and research and engagement units. She is also the director of the MIT-wide Initiative on Responsible AI for Social Empowerment and Education (raise.mit.edu). She co-founded the consumer social robotics company, Jibo, Inc., where she served as chief scientist and chief experience officer. She is recognized for distinguished contributions in the field of artificial intelligence education, particularly around the use of social robots, and learning at scale.

Alan Edelman PhD ’89 is an applied mathematics professor for the Department of Mathematics and leads the Applied Computing Group of the Computer Science and Artificial Intelligence Laboratory, the MIT Julia Lab. He is recognized as a 2024 AAAS fellow for distinguished contributions and outstanding breakthroughs in high-performance computing, linear algebra, random matrix theory, computational science, and in particular for the development of the Julia programming language. Edelman has been elected a fellow of five different societies — AMS, the Society for Industrial and Applied Mathematics, the Association for Computing Machinery, the Institute of Electrical and Electronics Engineers, and AAAS.

Robert B. Millard '73, life member and chairman emeritus of the MIT Corporation, was named a 2024 AAAS Fellow for outstanding contributions to the scientific community and U.S. higher education "through exemplary leadership service to such storied institutions as AAAS and MIT." Millard joined the MIT Corporation as a term member in 2003 and was elected a life member in 2013. He served on the Executive Committee for 10 years and on the Investment Company Management Board for seven years, including serving as its chair for the last four years. He served as a member of the Visiting Committees for Physics, Architecture, and Chemistry. In addition, Millard has served as a member of the Linguistics and Philosophy Visiting Committee, the Corporation Development Committee, and the Advisory Council for the Council for the Arts. In 2011, Millard received the Bronze Beaver Award, the MIT Alumni Association’s highest honor for distinguished service.

Jagadeesh S. Moodera is a senior research scientist in the Department of Physics. His research interests include experimental condensed matter physics: spin polarized tunneling and nano spintronics; exchange coupled ferromagnet/superconductor interface, triplet pairing, nonreciprocal current transport and memory toward superconducting spintronics for quantum technology; and topological insulators/superconductors, including Majorana bound state studies in metallic systems. His research in the area of spin polarized tunneling led to a breakthrough in observing tunnel magnetoresistance (TMR) at room temperature in magnetic tunnel junctions. This resulted in a huge surge in this area of research, currently one of the most active areas. TMR effect is used in all ultra-high-density magnetic data storage, as well as for the development of nonvolatile magnetic random access memory (MRAM) that is currently being advanced further in various electronic devices, including for neuromorphic computing architecture. For his leadership in spintronics, the discovery of TMR, the development of MRAM, and for mentoring the next generation of scientists, Moodera was named a 2024 AAAS Fellow. For his TMR discovery he was awarded the Oliver Buckley Prize (2009) by the American Physical Society (APS), named an American National Science Foundation Competitiveness and Innovation Fellow (2008-10), won IBM and TDK Research Awards (1995-98), and became a Fellow of APS (2000).

Noelle Eckley Selin, the director of the MIT Center for Sustainability Science and Strategy and a professor in the Institute for Data, Systems and Society and the Department of Earth, Atmospheric and Planetary Sciences, uses atmospheric chemistry modeling to inform decision-making strategies on air pollution, climate change, and toxic substances, including mercury and persistent organic pollutants. She has also published articles and book chapters on the interactions between science and policy in international environmental negotiations, in particular focusing on global efforts to regulate hazardous chemicals and persistent organic pollutants. She is named a 2024 AAAS Fellow for world-recognized leadership in modeling the impacts of air pollution on human health, in assessing the costs and benefits of related policies, and in integrating technology dynamics into sustainability science.

Additional MIT alumni honored as 2024 AAAS Fellows include: Danah Boyd SM ’02 (Media Arts and Sciences); Michael S. Branicky ScD ’95 (EECS); Jane P. Chang SM ’95, PhD ’98 (Chemical Engineering); Yong Chen SM '99 (Mathematics); Roger Nelson Clark PhD '80 (EAPS); Mark Stephen Daskin ’74, PhD ’78 (Civil and Environmental Engineering); Marla L. Dowell PhD ’94 (Physics); Raissa M. D’Souza PhD ’99 (Physics); Cynthia Joan Ebinger SM '86, PhD '88 (EAPS/WHOI); Thomas Henry Epps III ’98, SM ’99 (Chemical Engineering); Daniel Goldman ’94 (Physics); Kenneth Keiler PhD ’96 (Biology); Karen Jean Meech PhD '87 (EAPS); Christopher B. Murray PhD ’95 (Chemistry); Jason Nieh '89 (EECS); William Nordhaus PhD ’67 (Economics); Milica Radisic PhD '04 (Chemical Engineering); James G. Rheinwald PhD ’76 (Biology); Adina L. Roskies PhD ’04 (Philosophy); Linda Rothschild (Preiss) PhD '70 (Mathematics); Soni Lacefield Shimoda PhD '03 (Biology); Dawn Y. Sumner PhD ’95 (EAPS); Tina L. Tootle PhD ’04 (Biology); Karen Viskupic PhD '03 (EAPS); Brant M. Weinstein PhD ’92 (Biology); Chee Wei Wong SM ’01, ScD ’03 (Mechanical Engineering; and Fei Xu PhD ’95 (Brain and Cognitive Sciences). 

Taking out a loan to attend college is an investment in your future. But unlike in the United States, students in Pakistan don’t have easy access to college loans. Instead, most families must stomach higher interest rates for personal loans that can require collateral like land or homes. As a result, college is inaccessible for many students. It’s one reason why only about 13 percent of Pakistani students attend college.

Now EduFi, founded by Aleena Nadeem ’16, is offering low-interest student loans to a broader swath of Pakistanis. EduFi, which is short for “education finance,” uses an artificial intelligence-based credit scoring system to qualify borrowers and pay colleges directly. The borrowers then make monthly payments to EduFi along with a service fee of 1.4 percent — far lower than what is available for most students today.

“The fees for college are extremely unaffordable for the average middle-class person right now,” Nadeem explains. “With our ‘Study Now, Pay Later’ system, we’re breaking that big upfront cost into installments, which makes it more affordable for both existing college students and a new group of people that never thought higher education was possible.”

EduFi was incorporated in 2021, and after gaining regulatory approval, the company began disbursing loans to people across Pakistan last year. In the first six months, EduFi disbursed more than half a million dollars in loans. Since then, the company’s inclusive approach to qualifying applicants has been validated: Today, less than 1 in 10,000 of those loans are not being repaid.

As awareness about EduFi grows, Nadeem believes the company can contribute to Pakistan’s modernization and development more broadly.

“We are accepting so many more people that would not have been able to get a bank loan,” Nadeem says. “That gets more people to go to college. The impact of directing cheap and fast credit to the educational sector on a developing country like Pakistan is huge.”

Better credit

At the British international high school Nadeem attended, no one had ever gotten into an Ivy League school. That made her acceptance into MIT a big deal.

“It was my first choice by far,” Nadeem says.

When she arrived on campus, Nadeem took classes at MIT that taught her about auctions, risk, and credit.

“In the work I’m doing with EduFi now, I’m applying what I learned in my classes in the real world,” Nadeem says.

Nadeem worked in the credit division at Goldman Sachs in London after graduation, but barriers to accessing higher education in her home country still bothered her.

In Pakistan, some targeted programs offer financial support for students with exceptionally high grades who can’t afford college, but the vast majority of families must find other ways to finance college.

“Most students and their families have to get personal loans from standard banks, but that requires them to open a bank account, which could take two months,” Nadeem explains. “Fees in Pakistan’s education sector must be paid soon after the requests are sent, and by the time banks accept or reject you, the payment could already be late.”

Private loans in Pakistan come with much higher interest rates than student loans in America. Many loans also require borrowers to put up property as collateral. Those challenges prevent many promising students from attending college at all.

EduFi is using technology to improve the loan qualification process. In Pakistan, the parent is the primary borrower. EduFi has developed an algorithmic credit scoring system that considers the borrower’s financial history then makes payments directly to the college on their behalf. EduFi also works directly with colleges to consider the students’ grades and payment history to the school.

Borrowers pay back the loan in monthly installments with a 1.4 percent service fee. No collateral is required.

“We are the first movers in student lending and currently hold the largest student loan portfolio in the country,” Nadeem says. “We’re offering extremely subsidized rates to a lot of people. Our rates are way cheaper than the bank alternatives. We still make a profit, but we’re impact-focused, so we make profit through disbursing to a larger number of people rather than increasing the margin per person.”

Nadeem says EduFi’s approach qualifies far more people for loans compared to banks and does so five times faster. That makes college more accessible for students across Pakistan.

“Banks charge high interest rates to the people with the best credit scores,” Nadeem says. “By not taking collateral, we really open up the credit space to new people who would not have been able to get a bank loan. Easier credit gives the average middle-class individual the ability to change their families’ lives.”

Helping countries by helping people

EduFi received its non-banking financial license in February 2024. The company gained early traction last year through word of mouth and soon opened to borrowers across the country. Since then, Nadeem says many people have traveled long distances to EduFi’s headquarters to confirm they’re a credible operation. Nadeem also regularly receives messages from students across Pakistan thanking EduFi for helping them attend college.

After further proving out its model this year, EduFi plans to expand to Saudi Arabia. Eventually, it plans to offer its loans to students throughout the Middle East, and Nadeem believes the global student loan system could be improved using EduFi’s approach.

“EduFi is modeled after SoFi in San Francisco,” Nadeem says of the large finance company that started by offering student loans and expanded to mortgages, credit cards, and other banking services. “I’m trying to build the SoFi of Pakistan and the Middle East. But it’s really a combination of SoFi and Grameen Bank [in Bangladesh], which extends credit to lower-income people to lift them out of poverty.”

By helping people extend their education and reach their full potential, Nadeem believes EduFi will one day accelerate the development of entire nations.

“Education is the core pillar from which a country stands,” Nadeem says. “You can’t progress as a country without making education as accessible and affordable as possible. EduFi is achieving that by directing capital at what is frankly a starving education sector.”

Earle Leonard Lomon PhD ’54, MIT professor emeritus of physics, died on March 7 in Newton, Massachusetts, at the age of 94.  

A longtime member of the Center for Theoretical Physics, Lomon was interested primarily in the forces between protons and neutrons at low energies, where the effects of quarks and gluons are hidden by their confinement.

His research focused on the interactions of hadrons — protons, neutrons, mesons, and nuclei — before it was understood that they were composed of quarks and gluons. 

“Earle developed an R-matrix formulation of scattering theory that allowed him to separate known effects at long distance from then-unknown forces at short distances,” says longtime colleague Robert Jaffe, the Jane and Otto Morningstar Professor of Physics.

“When QCD [quantum chromodynamics] emerged as the correct field theory of hadrons, Earle moved quickly to incorporate the effects of quarks and gluons at short distance and high energies,” says Jaffe. “Earle’s work can be interpreted as a precursor to modern chiral effective field theory, where the pertinent degrees of freedom at low energy, which are hadrons, are matched smoothly onto the quark and gluon degrees of freedom that dominate at higher energy.”

“He was a truly cosmopolitan scientist, given his open mind and deep kindness,” says Bruno Coppi, MIT professor emeritus of physics.

Early years

Born Nov. 15, 1930, in Montreal, Quebec, Earle was the only son of Harry Lomon and Etta Rappaport. At Montreal High School, he met his future wife, Ruth Jones. Their shared love for classical music drew them both to the school's Classical Music Club, where Lomon served as president and Ruth was an accomplished musician.

While studying at McGill University, he was a research physicist for the Canada Defense Research Board from 1950 to 1951. After graduating in 1951, he married Jones, and they moved to Cambridge, where he pursued his doctorate at MIT in theoretical physics, mentored by Professor Hermann Feshbach.

Lomon spent 1954 to 1955 at the Institute for Theoretical Physics (now the Niels Bohr Institute) in Copenhagen. “With the presence of Niels Bohr, Aage Bohr, Ben Mottelson, and Willem V.R. Malkus, there were many physicists from Europe and elsewhere, including MIT’s Dave Frisch, making the Institute for Physics an exciting place to be,” recalled Lomon.

In 1956-57, he was a research associate at the Laboratory for Nuclear Studies at Cornell University. He received his PhD from MIT in 1954, and did postdoctoral work at the Institute of Theoretical Physics in Denmark, the Weizmann Institute of Science in Israel, and Cornell. He was an associate professor at McGill from 1957 until 1960, when he joined the MIT faculty.

In 1965, Lomon was awarded a Guggenheim Memorial Foundation Fellowship and was a visiting scientist at CERN. In 1968, he joined the newly formed MIT Center for Theoretical Physics. He became a full professor in 1970 and retired in 1999.

Los Alamos and math theory

From 1968 to 2015, Lomon was an affiliate researcher at the Los Alamos National Laboratory. During this time, he collaborated with Fred Begay, a Navajo nuclear physicist and medicine man. New Mexico became the Lomon family’s second home, and Lomon enjoyed the area hiking trails and climbing Baldy Mountain.   

Lomon also developed educational materials for mathematical theory. He developed textbooks, educational tools, research, and a creative problem-solving curriculum for the Unified Science and Mathematics for Elementary Schools. His children recall when Earle would review the educational tools with them at the dinner table. From 2001 to 2013, he was program director for mathematical theory for the U.S. National Science Foundation’s Theoretical Physics research hub.

Lomon was an American Physical Society Fellow and a member of the Canadian Association of Physicists.

Husband of the late Ruth Lomon, he is survived by his daughters Glynis Lomon and Deirdre Lomon; his son, Dylan Lomon; grandchildren Devin Lomon, Alexia Layne-Lomon, and Benjamin Garner; and six great-grandchildren. There will be a memorial service at a later date; instead of flowers, please consider donating to the Los Alamos National Laboratory Foundation. 

Around 11 billion tons of goods, or about 1.5 tons per person worldwide, are transported by sea each year, representing about 90 percent of global trade by volume. Internationally, the merchant shipping fleet numbers around 110,000 vessels. These ships, and the ports that service them, are significant contributors to the local and global economy — and they’re significant contributors to greenhouse gas emissions.

A new consortium, formalized in a signing ceremony at MIT last week, aims to address climate-harming emissions in the maritime shipping industry, while supporting efforts for environmentally friendly operation in compliance with the decarbonization goals set by the International Maritime Organization.

“This is a timely collaboration with key stakeholders from the maritime industry with a very bold and interdisciplinary research agenda that will establish new technologies and evidence-based standards,” says Themis Sapsis, the William Koch Professor of Marine Technology at MIT and the director of MIT’s Center for Ocean Engineering. “It aims to bring the best from MIT in key areas for commercial shipping, such as nuclear technology for commercial settings, autonomous operation and AI methods, improved hydrodynamics and ship design, cybersecurity, and manufacturing.” 

Co-led by Sapsis and Fotini Christia, the Ford International Professor of the Social Sciences; director of the Institute for Data, Systems, and Society (IDSS); and director of the MIT Sociotechnical Systems Research Center, the newly-launched MIT Maritime Consortium (MC) brings together MIT collaborators from across campus, including the Center for Ocean Engineering, which is housed in the Department of Mechanical Engineering; IDSS, which is housed in the MIT Schwarzman College of Computing; the departments of Nuclear Science and Engineering and Civil and Environmental Engineering; MIT Sea Grant; and others, with a national and an international community of industry experts.

The Maritime Consortium’s founding members are the American Bureau of Shipping (ABS), Capital Clean Energy Carriers Corp., and HD Korea Shipbuilding and Offshore Engineering. Innovation members are Foresight-Group, Navios Maritime Partners L.P., Singapore Maritime Institute, and Dorian LPG.

“The challenges the maritime industry faces are challenges that no individual company or organization can address alone,” says Christia. “The solution involves almost every discipline from the School of Engineering, as well as AI and data-driven algorithms, and policy and regulation — it’s a true MIT problem.”

Researchers will explore new designs for nuclear systems consistent with the techno-economic needs and constraints of commercial shipping, economic and environmental feasibility of alternative fuels, new data-driven algorithms and rigorous evaluation criteria for autonomous platforms in the maritime space, cyber-physical situational awareness and anomaly detection, as well as 3D printing technologies for onboard manufacturing. Collaborators will also advise on research priorities toward evidence-based standards related to MIT presidential priorities around climate, sustainability, and AI.

MIT has been a leading center of ship research and design for over a century, and is widely recognized for contributions to hydrodynamics, ship structural mechanics and dynamics, propeller design, and overall ship design, and its unique educational program for U.S. Navy Officers, the Naval Construction and Engineering Program. Research today is at the forefront of ocean science and engineering, with significant efforts in fluid mechanics and hydrodynamics, acoustics, offshore mechanics, marine robotics and sensors, and ocean sensing and forecasting. The consortium’s academic home at MIT also opens the door to cross-departmental collaboration across the Institute.

The MC will launch multiple research projects designed to tackle challenges from a variety of angles, all united by cutting-edge data analysis and computation techniques. Collaborators will research new designs and methods that improve efficiency and reduce greenhouse gas emissions, explore feasibility of alternative fuels, and advance data-driven decision-making, manufacturing and materials, hydrodynamic performance, and cybersecurity.

“This consortium brings a powerful collection of significant companies that, together, has the potential to be a global shipping shaper in itself,” says Christopher J. Wiernicki SM ’85, chair and chief executive officer of ABS. 

“The strength and uniqueness of this consortium is the members, which are all world-class organizations and real difference makers. The ability to harness the members’ experience and know-how, along with MIT’s technology reach, creates real jet fuel to drive progress,” Wiernicki says. “As well as researching key barriers, bottlenecks, and knowledge gaps in the emissions challenge, the consortium looks to enable development of the novel technology and policy innovation that will be key. Long term, the consortium hopes to provide the gravity we will need to bend the curve.”

When most people buy cars, the sticker price is only part of the cost. The other part involves the loan, since folks usually borrow money for auto purchases. Therefore the interest rate, monthly payment size, and total repayment cost all matter too.

And yet, on aggregate, people do more comparison shopping about car prices than about lenders, and they frequently settle for relatively expensive loans. What happens when the financing costs more? The answer is, people buy older cars with lower sticker prices.

“The car they’re driving right now could be a year older because of that,” says Christopher Palmer PhD ’14, an associate professor of finance at the MIT Sloan School of Management, who helped discover this phenomenon through a study examining millions of U.S. car loans. That research is like much of Palmer’s work: grounded in hard data and shining new light on issues, even familiar ones, about personal money management.

“I study household financial decision-making,” Palmer says. “Both how households make decisions and how those decisions are influenced by external factors. That covers a lot of things.”

It sure does. Palmer, often working with co-authors, has also discovered that people prefer to make monthly payments that are multiples of $100 — which can lead them to agree to worse financing terms. And since household finance includes housing, Palmer co-authored a high-profile study showing that people are remarkably more likely to use housing vouchers and move to another neighborhood when they have a modest amount of assistance from a “navigator” who helps with the move.

But he isn’t just looking for behavioral quirks: Another Palmer study found that the Federal Reserve’s quantitative easing efforts after the financial crisis of 2008 helped cash-strapped people refinance their mortgages — though mostly those who had been able to make a down payment of 20 percent or more in the first place.

Overall, Palmer looks at big-picture economic scenarios in which people feel a financial crunch, and at consumer behavior, especially involving credit.

“If you look at whether someone can make a monthly payment, you need to understand their labor market, their expectations for the future, and more,” Palmer says. “Credit markets are interconnected to almost everything you might care about. Part of the reason I’m trying to shine a light on consumer credit markets is that they affect all kinds of human outcomes.”

For his research and teaching, Palmer earned tenure at MIT last year.

Useful intuition

Palmer grew up in the Boston area and enjoyed math in school, while always being interested in how people made financial decisions, especially about real estate. As an undergraduate at Brigham Young University, he soon recognized that he wanted to use his math skills to analyze everyday phenomena.

“I like the way you can take your intuition and have it be useful as you work through problems, along with this element of being able to observe what’s happening around you and being a listener in the world,” Palmer says.

As a student, though, that didn’t mean Palmer narrowed his interests. If anything, he saw the value in widening his studies.

“I also pretty quickly realized in college that I wanted to double major in econ and math,” Palmer says. “And that became the pipeline to get a PhD.”

After graduating from BYU, Palmer entered the doctoral program at MIT in 2008. In addition to taking classes, he immediately started working as a research assistant on a study of rent control along with professors David Autor — his eventual advisor — and Parag Pathak. That research eventually turned into a couple of high-profile papers. But while rent control is a kind of household-finance issue, the subject of household finance wasn’t really an established subdiscipline at the time.

It soon would be, however. Indeed, Palmer’s graduate-school career is almost a case study in how academic research broadens and evolves over time. Just as Palmer enrolled at MIT, the subprime-lending implosion helped generate the financial-markets crash of 2008, and both became greater focal points for academic research. Suddenly the topics that had been percolating around in Palmer’s mind were in pressing need of academic research.

“All of a sudden mortgages and household finance were front and center,” Palmer says. “That allowed me the space to write a dissertation about how distressed income households make mortgage decisions. There was an appetite for that.”

After receiving his PhD, Palmer joined the faculty at the University of California at Berkeley, at the Haas School of Business, and then moved back to MIT in 2017.

“Household finance as a field is small, so you have to intersect it with something else if you want your question to make a difference in the world,” Palmer says. “For me, that might be macroeconomics, labor economics, corporate finance, or banking. This is partly why MIT is an amazing place to be, because it’s so easy to get exposure to all of those fields.”

Keeping a list of questions at hand

With a wide-ranging research portfolio, Palmer has to be nimble about identifying topics he can study in depth. That means looking for good data related to household finance and consumer credit, and shaping his studies around meaningful questions.

“I think a good microeconomist is always on the hunt for things,” Palmer says.

“I’ve always wanted to be question-driven,” he adds. “I try to have a list of questions in mind, so that if somebody says, ‘I have an interesting data set, what can we do with it?’ I might have ideas about what in the data we can look at.”

Take the massive study on auto loans, which arose after a co-author approached Palmer and said, more or less, that he had identified an interesting data set and was wondering what to do with it. One unresolved question was: How much do people search for the best car price or the best loan terms?

As a graduate student, Palmer recalls, “I remembered [MIT professor] Glenn Ellison once saying in class that the subject of search is a really juicy topic. Consumers face tricky decisions, and companies do not want to make it easy for people to comparison-shop. And no one had done much about search in household finance.”

So, Palmer and his colleagues based the auto-loan study partly around the search issue. The work analyzes the geographic locations of millions of buyers, and the number of lenders within 20-minute drive of them, and examines how thoroughly consumers hunt for the best deals. The study includes credit scores, auto prices, and loan terms, illuminating the complete dynamics involving credit and auto purchases. 

Best behavior

Some of Palmer’s work, meanwhile, takes the form of experiments. The paper he co-authored about what helps people move was one such case. It was set in Seattle, and the research team collaborated with local policymakers to construct an experiment on the subject.

It turns out that in Seattle, among people granted housing vouchers to move to new neighborhoods, the percentage actually utilizing the vouchers jumped from 15 percent to 53 percent — an eye-opening change — when they were given slightly more information and resources, and most of all a “navigator” helping with basic logistics.

Studying how people manage money means Palmer’s work yields plenty of insights in the mode of behavioral economics, the subfield that studies irrationalities — or lack thereof — in finance. Palmer thinks such findings are important, while emphasizing that he is not principally on a hunt for irrationality. Instead he always seeks to link the study of behavior to major economic and policy matters: how we borrow, what we can afford, and how we respond to economic stress.

“When a study of behavior is motivated by a tight connection to public policy, it satisfies the is-this-important hurdle right away,” Palmer says. “I’m always aiming to produce work that a large community of scholars would find important and that the broader world would find impactful.”

The MIT women's swimming and diving team won the program's first national championship, jumping ahead of New York University by erasing a 20-point deficit as the Engineers finished with 497 points at the 2025 NCAA Women's Swimming and Diving National Championships, hosted by the Old Dominion Athletic Conference March 19-22 at the Greensboro Aquatic Center in Greensboro, North Carolina.   

MIT entered the event ranked as the top team in the country. Overall, MIT won three individual national titles and four relay titles. The head coach, Meg Sisson French, was named the College Swimming and Diving Coaches Association of America Women’s Swim Coach of the Year. 

On day 1 of the championships, the 400 Medley Relay team of senior Kate Augustyn (Eau Claire, Wisconsin), first-year Sarah Bernard (Brookline, Massachusetts), sophomore Sydney Smith (Atlanta, Georgia), and graduate student Alexandra Turvey (Vancouver, British Colombia) touched the wall first in 3:38.48, just beating the NYU team by 0.8 second and setting a new school record. 

Day 2 highlights included Smith posting a winning time of 53.96 in the 100 fly, beating out Nicole Ranile of NYU by under a second. The 200 freestyle relay team of Turvey, Smith, sophomore Ella Roberson (Midland, Michigan) and junior Annika Naveen (Wynnewood, Pennsylvania) held off Pomona-Pitzer for the gold as Naveen brought the title home and gave the Engineers a national record time of 1:30.00. 

MIT opened day 3 with another national title, this time in the 200 medley relay. Augustyn led off, followed by Bernard and Naveen. Ella Roberson brought the title home for MIT as she completed her anchor leg in 22.02, which gave the team a combined time of 1:39.51. Roberson was able to hold off a late charge by Kenyon College, which finished second in 1:40.26 as the Engineers set another national record. Augustyn later defended her title in the 100 backstroke as she clocked in with a time of 53.41, tying her own national record. 

The final day of action saw MIT pull ahead of NYU with two more national titles. In the 200 backstroke, Augustyn held the lead through most of the event, but Sophia Verkleeren of Williams College caught up to the defending champion in the last half of the race. With just 25 yards left, Augustyn pulled away to defeat Verkleeren with a time of 1:55.85. Augustyn shaved almost 2 seconds off her preliminary time and fell just short of the national record time of 1:55.67. With the win, the Engineers pulled to within one point of NYU for the top spot. 

The Engineers sealed the overall national championship by winning their fourth relay of the championship, besting the team from NYU. Turvey set the pace with her lead-off, followed by Smith and Augustyn. Roberson, swimming the anchor leg, held off Kaley McIntyre of NYU, who earlier set the national record in the 100 freestyle, to give MIT the win with a time of 3:19.03 as the Violets took second in 3:19.36.   

Augustyn defended her title in the 200 backstroke while sweeping the National Championship in both the 100 and 200 backstroke in consecutive years. She concludes her career as one of the most decorated swimmers in program history, collecting four individual national championships, four relay national championships, and 27 all-America honors, the most in program history. 

Bar graphs and other charts provide a simple way to communicate data, but are, by definition, difficult to translate for readers who are blind or low-vision. Designers have developed methods for converting these visuals into “tactile charts,” but guidelines for doing so are extensive (for example, the Braille Authority of North America’s 2022 guidebook is 426 pages long). The process also requires understanding different types of software, as designers often draft their chart in programs like Adobe Illustrator and then translate it into Braille using another application.

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have now developed an approach that streamlines the design process for tactile chart designers. Their program, called “Tactile Vega-Lite,” can take data from something like an Excel spreadsheet and turn it into both a standard visual chart and a touch-based one. Design standards are hardwired as default rules within the program to help educators and designers automatically create accessible tactile charts.

The tool could make it easier for blind and low-vision readers to understand many graphics, such as a bar chart comparing minimum wages across states or a line graph tracking countries’ GDPs over time. To bring your designs to the real world, you can tweak your chart in Tactile Vega-Lite and then send its file to a Braille embosser (which prints text as readable dots).

This spring, the researchers will present Tactile Vega-Lite in a paper at the Association of Computing Machinery Conference on Human Factors in Computing Systems. According to lead author Mengzhu “Katie” Chen SM ’25, the tool strikes a balance between the precision that design professionals want for editing and the efficiency educators need to create tactile charts quickly.

“We interviewed teachers who wanted to make their lessons accessible to blind and low-vision students, and designers experienced in putting together tactile charts,” says Chen, a recent CSAIL affiliate and master's graduate in electrical engineering and computer science and the Program in System Design and Management. “Since their needs differ, we designed a program that’s easy to use, provides instant feedback when you want to make tweaks, and implements accessibility guidelines.”

Data you can feel

The researchers’ program builds off of their 2017 visualization tool Vega-Lite by automatically encoding both a flat, standard chart and a tactile one. Senior author and MIT postdoc Jonathan Zong SM ’20, PhD ’24 points out that the program makes intuitive design decisions so users don’t have to.

“Tactile Vega-Lite has smart defaults to ensure proper spacing, layout, and texture and Braille conversion, following best practices to create good touch-based reading experiences,” says Zong, who is also a fellow at the Berkman Klein Center for Internet and Society at Harvard University and an incoming assistant professor at the University of Colorado. “Building on existing guidelines and our interviews with experts, the goal is for teachers or visual designers without a lot of tactile design expertise to quickly convey data in a clear way for tactile readers to explore and understand.”

Tactile Vega-Lite’s code editor allows users to customize axis labels, tick marks, and other elements. Different features within the chart are represented by abstractions — or summaries of a longer body of code — that can be modified. These shortcuts allow you to write brief phrases that tweak the design of your chart. For example, if you want to change how the bars in your graph are filled out, you could change the code in the “Texture” section from “dottedFill” to “verticalFill” to replace small circles with upward lines.

To understand how these abstractions work, the researchers added a gallery of examples. Each one includes a phrase and what change that code leads to. Still, the team is looking to refine Tactile Vega-Lite’s user interface to make it more accessible to users less familiar with coding. Instead of using abstractions for edits, you could click on different buttons.

Chen says she and her colleagues are hoping to add machine-specific customizations to their program. This would allow users to preview how their tactile chart would look before it’s fabricated by an embossing machine and make edits according to the device’s specifications.

While Tactile Vega-Lite can streamline the many steps it usually takes to make a tactile chart, Zong emphasizes that it doesn’t replace an expert doing a final check-over for guideline compliance. The researchers are continuing to incorporate Braille design rules into their program, but caution that human review will likely remain the best practice.

“The ability to design tactile graphics efficiently, particularly without specialized software, is important for providing equal access of information to tactile readers,” says Stacy Fontenot, owner of Font to Dot, who wasn’t involved in the research. “Graphics that follow current guidelines and standards are beneficial for the reader as consistency is paramount, especially with complex, data-filled graphics. Tactile Vega-Lite has a straightforward interface for creating informative tactile graphics quickly and accurately, thereby reducing the design time in providing quality graphics to tactile readers.”

Chen and Zong wrote the paper with Isabella Pineros ’23, MEng ’24 and MIT Associate Professor Arvind Satyanarayan. The researchers’ work was supported by a National Science Foundation grant.

The CSAIL team also incorporated input from Rich Caloggero from MIT’s Disability and Access Services, as well as the Lighthouse for the Blind, which let them observe technical design workflows as part of the project.

Reducing the amount of agricultural sprays used by farmers — including fertilizers, pesticides and herbicides — could cut down the amount of polluting runoff that ends up in the environment while at the same time reducing farmers’ costs and perhaps even enhancing their productivity. A classic win-win-win.

A team of researchers at MIT and a spinoff company they launched has developed a system to do just that. Their technology adds a thin coating around droplets as they are being sprayed onto a field, greatly reducing their tendency to bounce off leaves and end up wasted on the ground. Instead, the coated droplets stick to the leaves as intended.

The research is described today in the journal Soft Matter, in a paper by recent MIT alumni Vishnu Jayaprakash PhD ’22 and Sreedath Panat PhD ’23, graduate student Simon Rufer, and MIT professor of mechanical engineering Kripa Varanasi.

A recent study found that if farmers didn’t use pesticides, they would lose 78 percent of fruit, 54 percent of vegetable, and 32 percent of cereal production. Despite their importance, a lack of technology that monitors and optimizes sprays has forced farmers to rely on personal experience and rules of thumb to decide how to apply these chemicals. As a result, these chemicals tend to be over-sprayed, leading to runoff and chemicals ending up in waterways or building up in the soil.

Pesticides take a significant toll on global health and the environment, the researchers point out. A recent study found that 31 percent of agricultural soils around the world were at high risk from pesticide pollution. And agricultural chemicals are a major expense for farmers: In the U.S., they spend $16 billion a year just on pesticides.

Making spraying more efficient is one of the best ways to make food production more sustainable and economical. Agricultural spraying essentially boils down to mixing chemicals into water and spraying water droplets onto plant leaves, which are often inherently water-repellent. “Over more than a decade of research in my lab at MIT, we have developed fundamental understandings of spraying and the interaction between droplets and plants — studying when they bounce and all the ways we have to make them stick better and enhance coverage,” Varanasi says.

The team had previously found a way to reduce the amount of sprayed liquid that bounces away from the leaves it strikes, which involved using two spray nozzles instead of one and spraying mixtures with opposite electrical charges. But they found that farmers were reluctant to take on the expense and effort of converting their spraying equipment to a two-nozzle system. So, the team looked for a simpler alternative.

They discovered they could achieve the same improvement in droplet retention using a single-nozzle system that can be easily adapted to existing sprayers. Instead of giving the droplets of pesticide an electric charge, they coat each droplet with a vanishingly thin layer of an oily material.

In their new study, they conducted lab experiments with high-speed cameras. When they sprayed droplets with no special treatment onto a water-repelling (hydrophobic) surface similar to that of many plant leaves, the droplets initially spread out into a pancake-like disk, then rebounded back into a ball and bounced away. But when the researchers coated the surface of the droplets with a tiny amount of oil — making up less than 1 percent of the droplet’s liquid — the droplets spread out and then stayed put. The treatment improved the droplets’ “stickiness” by as much as a hundredfold.

“When these droplets are hitting the surface and as they expand, they form this oil ring that essentially pins the droplet to the surface,” Rufer says. The researchers tried a wide variety of conditions, he says, explaining that they conducted hundreds of experiments, “with different impact velocities, different droplet sizes, different angles of inclination, all the things that fully characterize this phenomenon.” Though different oils varied in their effectiveness, all of them were effective. “Regardless of the impact velocity and the oils, we saw that the rebound height was significantly lower,” he says.

The effect works with remarkably small amounts of oil. In their initial tests they used 1 percent oil compared to the water, then they tried a 0.1 percent, and even .01. The improvement in droplets sticking to the surface continued at a 0.1 percent, but began to break down beyond that. “Basically, this oil film acts as a way to trap that droplet on the surface, because oil is very attracted to the surface and sort of holds the water in place,” Rufer says.

In the researchers’ initial tests they used soybean oil for the coating, figuring this would be a familiar material for the farmers they were working with, many of whom were growing soybeans. But it turned out that though they were producing the beans, the oil was not part of their usual supply chain for use on the farm. In further tests, the researchers found that several chemicals that farmers were already routinely using in their spraying, called surfactants and adjuvants, could be used instead, and that some of these provided the same benefits in keeping the droplets stuck on the leaves.

“That way,” Varanasi says, “we’re not introducing a new chemical or changed chemistries into their field, but they’re using things they’ve known for a long time.”

Varanasi and Jayaprakash formed a company called AgZen to commercialize the system. In order to prove how much their coating system improves the amount of spray that stays on the plant, they first had to develop a system to monitor spraying in real time. That system, which they call RealCoverage, has been deployed on farms ranging in size from a few dozen acres to hundreds of thousands of acres, and many different crop types, and has saved farmers 30 to 50 percent on their pesticide expenditures, just by improving the controls on the existing sprays. That system is being deployed to 920,000 acres of crops in 2025, the company says, including some in California, Texas, the Midwest, France and Italy. Adding the cloaking system using new nozzles, the researchers say, should yield at least another doubling of efficiency.

“You could give back a billion dollars to U.S. growers if you just saved 6 percent of their pesticide budget,” says Jayaprakash, lead author of the research paper and CEO of AgZen. “In the lab we got 300 percent of extra product on the plant. So that means we could get orders of magnitude reductions in the amount of pesticides that farmers are spraying.”

Farmers had already been using these surfactant and adjuvant chemicals as a way to enhance spraying effectiveness, but they were mixing it with a water solution. For it to have any effect, they had to use much more of these materials, risking causing burns to the plants. The new coating system reduces the amount of these materials needed, while improving their effectiveness.

In field tests conducted by AgZen, “we doubled the amount of product on kale and soybeans just by changing where the adjuvant was,” from mixed in to being a coating, Jayaprakash says. It’s convenient for farmers because “all they’re doing is changing their nozzle. They’re getting all their existing chemicals to work better, and they’re getting more product on the plant.”

And it’s not just for pesticides. “The really cool thing is this is useful for every chemistry that’s going on the leaf, be it an insecticide, a herbicide, a fungicide, or foliar nutrition,” Varanasi says. This year, they plan to introduce the new spray system on about 30,000 acres of cropland.

Varanasi says that with projected world population growth, “the amount of food production has got to double, and we are limited in so many resources, for example we cannot double the arable land. … This means that every acre we currently farm must become more efficient and able to do more with less.” These improved spraying technologies, for both monitoring the spraying and coating the droplets, Varanasi says, “I think is fundamentally changing agriculture.”

AgZen has recently raised $10 million in venture financing to support rapid commercial deployment of these technologies that can improve the control of chemical inputs into agriculture. “The knowledge we are gathering from every leaf, combined with our expertise in interfacial science and fluid mechanics, is giving us unparalleled insights into how chemicals are used and developed — and it’s clear that we can deliver value across the entire agrochemical supply chain,” Varanasi says  “Our mission is to use these technologies to deliver improved outcomes and reduced costs for the ag industry.” 

Two years ago, MIT professor of literature Arthur Bahr had one of the best days of his life. Sitting in the British Library, he was allowed to page through the Pearl-Manuscript, a singular bound volume from the 1300s containing the earliest versions of the masterly medieval poem “Pearl,” the famous tale “Sir Gawain and the Green Knight,” and two other poems.

Today, “Sir Gawain and the Green Knight” is commonly read in high school English classes. But it probably would have been lost to history without the survival of the Pearl-Manuscript, like the other works in the same volume. As it stands, no one knows who authored these texts. But one thing is clear: the surviving manuscript is a carefully crafted volume, with bespoke illustrations and the skilled use of parchment. This book is its own work of art.

“The Pearl-Manuscript is just as extraordinary and unusual and unexpected as the poems it contains,” Bahr says of the document, whose formal name is “British Library MS Cotton Nero A X/2.”

Bahr explores these ideas in a new book, “Chasing the Pearl-Manuscript: Speculation, Shapes, Delight,” published this month by the University of Chicago Press. In it, Bahr combines his deep knowledge of the volume’s texts with detailed examination of its physical qualities — thanks to technologies such as spectroscopy, which has revealed some manuscript secrets, as well as the good, old-fashioned scrutiny Bahr gave the book in person.

“My argument is that this physical object adds up to more than the sum of its parts, through its creative interplay of text, image, and materials,” Bahr says. “It is a coherent volume that evokes the concerns of the poems themselves. Most manuscripts are constructed in utilitarian ways, but not this one.”

Ode to the most beautiful poem

Bahr first encountered “Pearl” as an undergraduate at Amherst College, in a course taught by medievalist Howell D. Chickering. The poem is an intricate examination of Christian ethics; a father, whose daughter has died, dreams he is discussing the meaning of life with her.

“It is the most beautiful poem I have ever read,” Bahr says. “It blew me away, for its formal complexity, and for the really poignant human drama.” He adds: “It’s in some sense why I’m a medievalist.”

And since Bahr’s first book, “Fragments and Assemblages,” studies how medieval bound volumes were often collections of disparate documents, it was natural for him to apply this scholarly lens to the Pearl manuscript as well.

Most scholars think the Pearl manuscript has a single author — although we cannot be certain. After beginning with “Pearl,” the manuscript follows with two other poems, “Cleanness” and “Patience.” Closing the volume, “Sir Gawain and the Green Knight” is an eerie, surreal tale of courage and chivalry set in the (possibly fictional) court of King Arthur.

In the book, Bahr finds the four texts to be thematically linked, analyzing the “connective tissue” through which the “manuscript starts to cohere into a wrought, imperfect, temporally layered whole,” as he writes. Some of these links are broad, including recurring “challenges to our speculative faculties”; the works are full of seeming paradoxes and dreamscapes that test the reader’s interpretive capacity.

There are other ways the text seem aligned. “Pearl” and “Sir Gawain and the Green Knight” each have 101 stanzas. The texts have numerically consistent structures, in the case of “Pearl” based around the number 12. All but one of its stanzas has 12 lines (and Bahr suspects this imperfection is intentional, like a fine rug with a deliberate flaw, which may be the case for the “extra” 101st stanza). There are 36 lines per page. And from examining the manuscript in person, Bahr found 48 places with decorated initials, although we do not know whose.

“The more you look, the more you find,” Bahr says.

Materiality matters

Some of our knowledge about the Pearl-Manuscript is quite new: Spectroscopy has revealed that the volume originally had simple line drawings, which were later filled in with colored ink.

But there is no substitute for reading books in person. That took Bahr to London in 2023, where he was permitted an extended look at the Pearl-Manuscript in the flesh. Far from being a formality, that gave Bahr new insights.

For instance: The Pearl-Manuscript is written on parchment, which is animal skin. At a key point in the “Patience” poem, a reworking of the tale of Jonah and the whale, the parchment has been reversed, so that the “hair” side of the material faces up, rather than the “flesh” side; it is the only case of this in the manuscript.

“When you’re reading about Jonah being swallowed by the whale, you feel the hair follicles when you wouldn’t expect to,” Bahr says. “At precisely the moment when the poem is thematizing an unnatural reversal of inside and outside, you are feeling the other side of another animal.”

He adds: “The act of touching the Pearl-Manuscript really changed how I think this poem would have worked for the medieval reader.” In this vein, he says, “Materiality matters. Screens are enabling, and without the digital facsimile I could not have written this book, but they cannot ever replace the original. The ‘Patience’ chapter reinforces that.”

Ultimately, Bahr thinks the Pearl-Manuscript buttresses his view in the “Fragments and Assemblages” book, that the medieval reading experience was often bound up with the way volumes were physically constructed.

“My argument in ‘Fragments and Assemblages’ was that medieval readers and book constructors thought in a serious and often sophisticated way about how the material construction and the selection of the texts into a physical object made a difference — mattered — and had the potential to change the meanings of the texts,” he says.

Good grade on the group project

“Chasing the Pearl-Manuscript” has received praise from other scholars. Jessica Brantley, professor and chair of the English Department at Yale University, has said that Bahr “offers an adventurous multilayered reading of both text and book and provides an important reinterpretation of the codex and its poems.”

Daniel Wakelin of Oxford University has said that Bahr “sets out an authoritative reading of these poems” and presents “a bold model for studying material texts and literary works together.”

For his part, Bahr hopes to appeal to an array of readers, just as his courses on medieval literature appeal to students with an array of intellectual interests. In the making of his book, Bahr also credits two MIT students, Kelsey Glover and Madison Sneve, who helped the project through the Undergraduate Research Opportunities Program (UROP), studying the illustrations and distinctive manuscript markings, among other things.

“It’s a very MIT kind of poem in the sense that not only is the author, or authors, obsessed with math and geometry and numbers and proportion, they are also obsessed with artifact construction, with architectural details and physical craft,” Bahr says. “There’s a very ‘mens et manus’ quality to the poems that’s reflected in the manuscript,” he says, referring to MIT’s motto, “mind and hand.” “I think helps explain why these extraordinary MIT students helped me so much.”

The MIT campus came alive with artistic energy on March 13 as Artfinity — the Institute's new festival celebrating creativity and community — took over multiple venues with interactive experiences, exhibitions, and performances.

Artfinity participants created their own paths through interconnected artistic encounters across campus, exploring everything from augmented reality (AR) experiences in the Infinite Corridor to innovative musical performances at the Media Lab. The events were designed to build upon each other, allowing visitors to flow naturally between locations while experiencing a range of creative expressions.

Daytime offerings included several exhibitions: Coloring with Wide Tim at the Welcome Center; “Golden Cargo: Conquest of the Tropics” at the ACT Gallery, examining the complex history of the United Fruit Company; two exhibitions at the List Visual Arts Center — “List Projects 31: Kite” and “Pedro Gómez-Egaña: The Great Learning”; and "Mission Control" at the Media Lab. Throughout the day, the “Layers of Place” AR experience revealed hidden histories and perspectives on the pillars of Building 7, “The Alchemist” sculpture, and the Infinite Corridor.

The MIT Museum served as the hub for the evening with its After Dark series, featuring a talk on technology in art by the Media Lab’s Critical Matter group director and award-winning designer Behnaz Farahi (whose large projection on MIT's dome, “Gaze to the Stars,” was on view later that evening), alongside galleries showcasing faculty works, including Rania Ghosn's “Cosmograph,” Azra Akšamija's “Hallucinating Traditions,” and other new exhibitions featuring work from the Media Lab. Throughout the museum, visitors engaged with interactive activities ranging from flash portrait sessions to textile design.

As evening progressed, the campus transformed with performances and installations. The Media Lab hosted Moving Music, premiering two unusual works: “Here...NOW” by Ana Schon and “MAICE” by Tod Machover, a new piece for renowned marimba player Ji Hye Jung. Large-scale projections also illuminated campus buildings, including “Creative Lumens,“ where students transformed the exteriors of the new Linde Music Building, the MIT Chapel, and Zesiger Center with vibrant projections.

Additional events that evening included Argus Installation, exploring the interplay of light and hand-blown glass at the MIT Museum Studio; the Welcome Center's speed networking for artists and creatives followed by All Our Relations, where MIT's Indigenous community brought native and non-native people together for song, dance, and story; and a film screening at the Open Space Screen, offering a behind-the-scenes look at Laura Anderson Barbata's “Intervention: Ocean Blues.”

Attendance topped 1,000 on campus that evening, with many more viewing the large-scale art projections as passersby. Artfinity continues through May 2 and will have featured more than 80 free performing and visual arts events celebrating creativity and community at MIT.

If you filled out a March Madness bracket this month, you probably faced the same question with each college match-up: What gives one team an edge over another? Is it a team’s record through the regular season? Or the chemistry among its players? Maybe it’s the experience of its coaching staff or the buzz around a top scorer.

All of these factors play some role in a team’s chance to advance. But according to a new study by MIT researchers, there’s one member who consistently boosts their team’s performance: the data analyst.

The new study, which was published this month in the Journal of Sports Economics, quantifies the influence of basketball analytics investment on team performance. The study’s authors looked in particular at professional basketball and compared the  investment in data analytics on each NBA team with the team’s record of wins over 12 seasons. They found that indeed, teams that hired more analytics staff, and invested more in data analysis in general, tended to win more games.

Analytics department headcount had a positive and statistically significant effect on team wins even when accounting for other factors such as a team’s roster salary, the experience and chemistry among its players, the consistency of its coaching staff, and player injuries through each season. Even with all of these influences, the researchers found that the depth of a team’s data analytics bench, so to speak, was a consistent predictor of the team’s wins.

What’s more, they were able to quantify basketball analytics’ value, based on their impact on team wins. They found that for every four-fifths of one data analyst, a team gains one additional win in a season. Interestingly, a team can also gain one additional win by increasing its roster salary by $9.6 million. One way to read this is that one data analyst’s impact is worth at least $9 million.

“I don’t know of any analyst who’s being paid $9 million,” says study author Henry Wang, a graduate student in the MIT Sports Lab. “There is still a gap between how the player is being valued and how the analytics are being valued."

While the study focuses on professional basketball, the researchers say the findings are relevant beyond the NBA. They speculate that college teams that make use of data analytics may have an edge over those who don’t. (Take note, March Madness fans.) And the same likely goes for sports in general, along with any competitive field.

“This paper hits nicely not just in sports but beyond, with this question of: What is the tangible impact of big data analytics?” says co-author Arnab Sarker PhD ’25, a recent doctoral graduate of MIT’s Institute for Data, Systems and Society (IDSS). “Sports are a really nice, controlled place for analytics. But we’re also curious to what extent we can see these effects in general organizational performance.”

The study is also co-authored by Anette “Peko” Hosoi, the Pappalardo Professor of Mechanical Engineering at MIT.

Data return

Across the sports world, data analysts have grown in number and scope over the years. Sports analytics’ role in using data and stats to improve team performance was popularized in 2011 with the movie “Moneyball,” based on the 2003 book “Moneyball: The Art of Winning an Unfair Game” by Michael Lewis, who chronicled the 2002 Oakland Athletics and general manager Billy Beane’s use of baseball analytics to win games against wealthier Major League Baseball teams.

Since then, data analysis has expanded to many other sports, in an effort to make use of the varied and fast-paced sources of data, measurements, and statistics available today. In basketball, analysts can take on many roles, using data, for instance, to optimize a player’s health and minimize injury risk, and to predict a player’s performance to inform draft selection, free agency acquisition, and contract negotiations.

A data analyst’s work can also influence in-game strategy. Case in point: Over the last decade, NBA teams have strategically chosen to shift to shooting longer-range three-pointers, since Philadelphia 76ers President of Basketball Operations Daryl Morey SM ’00 determined that statistically, shooting more three-pointers wins more games. Today, each of the 30 NBA teams employs at least one basketball analytics staffer. And yet, while a data analyst’s job is entirely based on data, there is not much data on the impact of analysts themselves.

“Teams and leagues are spending millions of dollars on embracing analytical tools without a real sense of return-on-investment,” Wang notes.

Numbers value

The MIT researchers aimed in their new study to quantify the influence of NBA team analysts, specifically on winning games. To do so, they looked to major sources of sports data such as ESPN.com, and NBAstuffer.com, a website that hosts a huge amount of stats on NBA games and team stats, including hired basketball analytics staff, that the website’s managers compile based on publicly available data, such as from official team press releases and staff directories, as well as LinkedIn and X profiles, and news and industry reports.

For their new study, Wang and his colleagues gathered data on each of the 30 NBA teams, over a period from 2009 to 2023, 2009 being the year that NBAstuffer.com started compiling team data. For every team in each season during this period, the researchers recorded an “analyst headcount,” meaning the number of basketball operations analytics staff employed by a team. They considered an analyst to be data analysts, software engineers, sports scientists, directors of research, and other technical positions by title, but also staff members who aren’t formally analysts but may be known to be particularly active in the basketball analytics community. In general, they found that in 2009, a total of 10 data analysts were working across the NBA. In 2023, that number ballooned to 132, with some teams employing more analysts than others.

“What we’re trying to measure is a team’s level of investment in basketball analytics,” Wang explains. “The best measure would be if every team told us exactly how much money they spent every year on their R&D and data infrastructure and analysts. But they’re not going to do that. So headcount is the next best thing.”

In addition to analytics headcount, the researchers also compiled data on other win-influencing variables, such as roster salary (Does a higher-paid team win more games?), roster experience (Does a team with more veterans win more games?), consistent coaching (Did a new coach shake up a team’s win record?) and season injuries (How did a team’s injuries affect its wins?). The researchers also noted “road back-to-backs,” or the number of times a team had to play consecutive away games (Does the wear and tear of constant travel impact wins?).

The researchers plugged all this data into a “two-way fixed effects” model to estimate the relative effect that each variable has on the number of additional games a team can win in a season.

“The model learns all these effects, so we can see, for instance, the tradeoff between analyst and roster salary when contributing to win total,” Wang explains.

Their finding that teams with a higher analytics headcount tended to win more games wasn’t entirely surprising.

“We’re still at a point where the analyst is undervalued,” Wang says. “There probably is a sweet spot, in terms of headcount and wins. You can’t hire 100 analysts and expect to go in 82-and-0 next season. But right now a lot of teams are still below that sweet spot, and this competitive advantage that analytics offers has yet to be fully harvested.”

Next time you cross a crowded plaza, crosswalk, or airport concourse, take note of the pedestrian flow. Are people walking in orderly lanes, single-file, to their respective destinations? Or is it a haphazard tangle of personal trajectories, as people dodge and weave through the crowd?

MIT instructor Karol Bacik and his colleagues studied the flow of human crowds and developed a first-of-its-kind way to predict when pedestrian paths will transition from orderly to entangled. Their findings may help inform the design of public spaces that promote safe and efficient thoroughfares.

In a paper appearing this week in the Proceedings of the National Academy of Sciences, the researchers consider a common scenario in which pedestrians navigate a busy crosswalk. The team analyzed the scenario through mathematical analysis and simulations, considering the many angles at which individuals may cross and the dodging maneuvers they may make as they attempt to reach their destinations while avoiding bumping into other pedestrians along the way.

The researchers also carried out controlled crowd experiments and studied how real participants walked through a crowd to reach certain locations. Through their mathematical and experimental work, the team identified a key measure that determines whether pedestrian traffic is ordered, such that clear lanes form in the flow, or disordered, in which there are no discernible paths through the crowd. Called “angular spread,” this parameter describes the number of people walking in different directions.

If a crowd has a relatively small angular spread, this means that most pedestrians walk in opposite directions and meet the oncoming traffic head-on, such as in a crosswalk. In this case, more orderly, lane-like traffic is likely. If, however, a crowd has a larger angular spread, such as in a concourse, it means there are many more directions that pedestrians can take to cross, with more chance for disorder.

In fact, the researchers calculated the point at which a moving crowd can transition from order to disorder. That point, they found, was an angular spread of around 13 degrees, meaning that if pedestrians don’t walk straight across, but instead an average pedestrian veers off at an angle larger than 13 degrees, this can tip a crowd into disordered flow.

“This all is very commonsense,” says Bacik, who is a instructor of applied mathematics at MIT. “The question is whether we can tackle it precisely and mathematically, and where the transition is. Now we have a way to quantify when to expect lanes — this spontaneous, organized, safe flow — versus disordered, less efficient, potentially more dangerous flow.”

The study’s co-authors include Grzegorz Sobota and Bogdan Bacik of the Academy of Physical Education in Katowice, Poland, and Tim Rogers at the University of Bath in the United Kingdom.

Right, left, center

Bacik, who is trained in fluid dynamics and granular flow, came to study pedestrian flow during 2021, when he and his collaborators looked into the impacts of social distancing, and ways in which people might walk among each other while maintaining safe distances. That work inspired them to look more generally into the dynamics of crowd flow.

In 2023, he and his collaborators explored “lane formation,” a phenomenon by which particles, grains, and, yes, people have been observed to spontaneously form lanes, moving in single-file when forced to cross a region from two opposite directions. In that work, the team identified the mechanism by which such lanes form, which Bacik sums up as “an imbalance of turning left versus right.” Essentially, they found that as soon as something in a crowd starts to look like a lane, individuals around that fledgling lane either join up, or are forced to either side of it, walking parallel to the original lane, which others can follow. In this way, a crowd can spontaneously organize into regular, structured lanes.

“Now we’re asking, how robust is this mechanism?” Bacik says. “Does it only work in this very idealized situation, or can lane formation tolerate some imperfections, such as some people not going perfectly straight, as they might do in a crowd?”

Lane change

For their new study, the team looked to identify a key transition in crowd flow: When do pedestrians switch from orderly, lane-like traffic, to less organized, messy flow? The researchers first probed the question mathematically, with an equation that is typically used to describe fluid flow, in terms of the average motion of many individual molecules.

“If you think about the whole crowd flowing, rather than individuals, you can use fluid-like descriptions,” Bacik explains. “It’s this art of averaging, where, even if some people may cross more assertively than others, these effects are likely to average out in a sufficiently large crowd. If you only care about the global characteristics like, are there lanes or not, then you can make predictions without detailed knowledge of everyone in the crowd.”

Bacik and his colleagues used equations of fluid flow, and applied them to the scenario of pedestrians flowing across a crosswalk. The team tweaked certain parameters in the equation, such as the width of the fluid channel (in this case, the crosswalk), and the angle at which molecules (or people) flowed across, along with various directions that people can “dodge,” or move around each other to avoid colliding.

Based on these calculations, the researchers found that pedestrians in a crosswalk are more likely to form lanes, when they walk relatively straight across, from opposite directions. This order largely holds until people start veering across at more extreme angles. Then, the equation predicts that the pedestrian flow is likely to be disordered, with few to no lanes forming.

The researchers were curious to see whether the math bears out in reality. For this, they carried out experiments in a gymnasium, where they recorded the movements of pedestrians using an overhead camera. Each volunteer wore a paper hat, depicting a unique barcode that the overhead camera could track.

In their experiments, the team assigned volunteers various start and end positions along opposite sides of a simulated crosswalk, and tasked them with simultaneously walking across the crosswalk to their target location without bumping into anyone. They repeated the experiment many times, each time having volunteers assume different start and end positions. In the end, the researchers were able to gather visual data of multiple crowd flows, with pedestrians taking many different crossing angles.

When they analyzed the data and noted when lanes spontaneously formed, and when they did not, the team found that, much like the equation predicted, the angular spread mattered. Their experiments confirmed that the transition from ordered to disordered flow occurred somewhere around the theoretically predicted 13 degrees. That is, if an average person veered more than 13 degrees away from straight ahead, the pedestrian flow could tip into disorder, with little lane formation. What’s more, they found that the more disorder there is in a crowd, the less efficiently it moves.

The team plans to test their predictions on real-world crowds and pedestrian thoroughfares.

“We would like to analyze footage and compare that with our theory,” Bacik says. “And we can imagine that, for anyone designing a public space, if they want to have a safe and efficient pedestrian flow, our work could provide a simpler guideline, or some rules of thumb.”

This work is supported, in part, by the Engineering and Physical Sciences Research Council of UK Research and Innovation.

Over the course of nearly five decades, Biogen has played a major role in catalyzing and shaping Kendall Square in Cambridge, Massachusetts, now heralded as the “most innovative square mile on the planet.” Today, Biogen announced its decision to centralize operations in a new facility at 75 Broadway in MIT’s Kendall Common development. The move, which will take place in 2028, highlights the company’s commitment to Cambridge and the regional innovation ecosystem — a wellspring of biomedical advances.

“It’s fitting that Biogen — a company with such close ties to people at MIT — will make Kendall Common’s first building its new home,” says MIT President Sally Kornbluth. “The motto of Kendall Square might as well be ‘talent in proximity’ and Biogen’s decision to intensify its presence here promises great things for the whole ecosystem. To achieve this milestone on the occasion of the company’s 50th anniversary is especially meaningful. We are grateful to Chris Viehbacher, president and chief executive officer of Biogen, for his keen vision of the future and his ongoing commitment to Cambridge and Kendall Square.”

The approximately 580,000-square-foot facility will integrate Biogen’s research and development teams together with its global and North American commercialization organizations. The building will incorporate advanced conservation, efficiency, and sustainable design elements.

“Biogen’s story in Kendall Square is unlike any other,” says Anantha Chandrakasan, MIT’s chief innovation and strategy officer. “Institute Professor Phil Sharp’s early work in genetics and molecular biology and his co-founding of Biogen in 1978 set life sciences on a bold trajectory in the region — and in the world. MIT’s intertwined history with Biogen has benefited society through significant research advancements — from classroom and lab to market — in treating multiple sclerosis, Parkinson’s disease, and other neuromuscular disorders. I’m so pleased that our fruitful partnership will continue.”

The new building, designed by Elkus-Manfredi Architects, will activate the corner at 75 Broadway, and protect and accentuate the abutting 6th Street Walkway — a favorite tree-lined path for residents and Kendall employees alike. A joint venture partnership between the MIT Investment Management Company and BioMed Realty, a Blackstone Real Estate portfolio company, is facilitating advancement of the project.

“Helping to ensure that Biogen stays in Cambridge was very important to us,” says Patrick Rowe, senior vice president in MIT’s real estate group, which is part of the Institute’s investment management company. “The company’s nearly 50-year history is a foundational component of the Kendall Square innovation ecosystem.”

“We are thrilled to partner with MIT in the development and activation of this world-class lab and office asset in the heart of Kendall Square,” says Bill Kane, BioMed Realty’s president of East Coast and U.K. markets. “75 Broadway will provide mission-critical infrastructure to Biogen that enables the development of the next generation of life-saving medicines and therapies.”

Ultimately, the 10-acre Kendall Common development will include eight buildings for residential, office, lab, retail, and community uses. The project’s 10-year review process and federal agreement led to the recent opening of the MIT-built John A. Volpe National Transportation Systems Center.

Life takes shape with the motion of a single cell. In response to signals from certain proteins and enzymes, a cell can start to move and shake, leading to contractions that cause it to squeeze, pinch, and eventually divide. As daughter cells follow suit down the generational line, they grow, differentiate, and ultimately arrange themselves into a fully formed organism.

Now MIT scientists have used light to control how a single cell jiggles and moves during its earliest stage of development. The team studied the motion of egg cells produced by starfish — an organism that scientists have long used as a classic model for understanding cell growth and development.

The researchers focused on a key enzyme that triggers a cascade of motion within a starfish egg cell. They genetically designed a light-sensitive version of the same enzyme, which they injected into egg cells, and then stimulated the cells with different patterns of light.

They found that the light successfully triggered the enzyme, which in turn prompted the cells to jiggle and move in predictable patterns. For instance, the scientists could stimulate cells to exhibit small pinches or sweeping contractions, depending on the pattern of light they induced. They could even shine light at specific points around a cell to stretch its shape from a circle to a square.

Their results, appearing today in the journal Nature Physics, provide scientists with a new optical tool for controlling cell shape in its earliest developmental stages. Such a tool, they envision, could guide the design of synthetic cells, such as therapeutic “patch” cells that contract in response to light signals to help close wounds, or drug-delivering “carrier” cells that release their contents only when illuminated at specific locations in the body. Overall, the researchers see their findings as a new way to probe how life takes shape from a single cell.

“By revealing how a light-activated switch can reshape cells in real time, we’re uncovering basic design principles for how living systems self-organize and evolve shape,” says the study’s senior author, Nikta Fakhri, associate professor of physics at MIT. “The power of these tools is that they are guiding us to decode all these processes of growth and development, to help us understand how nature does it.”

The study’s MIT authors include first author Jinghui Liu, Yu-Chen Chao, and Tzer Han Tan; along with Tom Burkart, Alexander Ziepke, and Erwin Frey of Ludwig Maximilian University of Munich; John Reinhard of Saarland University; and S. Zachary Swartz of the Whitehead Institute for Biomedical Research.

Cell circuitry

Fakhri’s group at MIT studies the physical dynamics that drive cell growth and development. She is particularly interested in symmetry, and the processes that govern how cells follow or break symmetry as they grow and divide. The five-limbed starfish, she says, is an ideal organism for exploring such questions of growth, symmetry, and early development.

“A starfish is a fascinating system because it starts with a symmetrical cell and becomes a bilaterally symmetric larvae at early stages, and then develops into pentameral adult symmetry,” Fakhri says. “So there’s all these signaling processes that happen along the way to tell the cell how it needs to organize.”

Scientists have long studied the starfish and its various stages of development. Among many revelations, researchers have discovered a key “circuitry” within a starfish egg cell that controls its motion and shape. This circuitry involves an enzyme, GEF, that naturally circulates in a cell’s cytoplasm. When this enzyme is activated, it induces a change in a protein, called Rho, that is known to be essential for regulating cell mechanics.

When the GEF enzyme stimulates Rho, it causes the protein to switch from an essentially free-floating state to a state that binds the protein to the cell’s membrane. In this membrane-bound state, the protein then triggers the growth of microscopic, muscle-like fibers that thread out across the membrane and subsequently twitch, enabling the cell to contract and move. 

In previous work, Fakhri’s group showed that a cell’s movements can be manipulated by varying the cell’s concentrations of GEF enzyme: The more enzyme they introduced into a cell, the more contractions the cell would exhibit.

“This whole idea made us think whether it’s possible to hack this circuitry, to not just change a cell’s pattern of movements but get a desired mechanical response,” Fakhri says.

Lights and action

To precisely manipulate a cell’s movements, the team looked to optogenetics — an approach that involves genetically engineering cells and cellular components such as proteins and enzymes, such that they activate in response to light.

Using established optogenetic techniques, the researchers developed a light-sensitive version of the GEF enzyme. From this engineered enzyme, they isolated its mRNA — essentially, the genetic blueprint for building the enzyme. They then injected this blueprint into egg cells that the team harvested from a single starfish ovary, which can hold millions of unfertilized cells. The cells, infused with the new mRNA, then began to produce light-sensitive GEF enzymes on their own.

In experiments, the researchers then placed each enzyme-infused egg cell under a microscope and shone light onto the cell in different patterns and from different points along the cell’s periphery. They took videos of the cell’s movements in response.

They found that when they aimed the light in specific points, the GEF enzyme became activated and recruited Rho protein to the light-targeted sites. There, the protein then set off its characteristic cascade of muscle-like fibers that pulled or pinched the cell in the same, light-stimulated spots. Much like pulling the strings of a marionette, they were able to control the cell’s movements, for instance directing it to morph into various shapes, including a square.

Surprisingly, they also found they could stimulate the cell to undergo sweeping contractions by shining a light in a single spot, exceeding a certain threshold of enzyme concentration.

“We realized this Rho-GEF circuitry is an excitable system, where a small, well-timed stimulus can trigger a large, all-or-nothing response,” Fakhri says. “So we can either illuminate the whole cell, or just a tiny place on the cell, such that enough enzyme is recruited to that region so the system gets kickstarted to contract or pinch on its own.”

The researchers compiled their observations and derived a theoretical framework to predict how a cell’s shape will change, given how it is stimulated with light. The framework, Fakhri says, opens a window into “the ‘excitability’ at the heart of cellular remodeling, which is a fundamental process in embryo development and wound healing.”

She adds: “This work provides a blueprint for designing ‘programmable’ synthetic cells, letting researchers orchestrate shape changes at will for future biomedical applications.”

This work was supported, in part, by the Sloan Foundation, and the National Science Foundation.

MIT engineers have devised a new way to deliver certain drugs in higher doses with less pain, by injecting them as a suspension of tiny crystals. Once under the skin, the crystals assemble into a drug “depot” that could last for months or years, eliminating the need for frequent drug injections.

This approach could prove useful for delivering long-lasting contraceptives or other drugs that need to be given for extended periods of time. Because the drugs are dispersed in a suspension before injection, they can be administered through a narrow needle that is easier for patients to tolerate.

“We showed that we can have very controlled, sustained delivery, likely for multiple months and even years through a small needle,” says Giovanni Traverso, an associate professor of mechanical engineering at MIT, a gastroenterologist at Brigham and Women’s Hospital (BWH), an associate member of the Broad Institute, and the senior author of the study.

The lead authors of the paper, which appears today in Nature Chemical Engineering, are former MIT and BWH postdoc Vivian Feig, who is now an assistant professor of mechanical engineering at Stanford University; MIT graduate student Sanghyun Park; and Pier Rivano, a former visiting research scholar in Traverso’s lab.

Easier injections

This project began as part of an effort funded by the Gates Foundation to expand contraceptive options, particularly in developing nations.

“The overarching goal is to give women access to a lot of different formats for contraception that are easy to administer, compatible with being used in the developing world, and have a range of different timeframes of durations of action,” Feig says. “In our particular project, we were interested in trying to combine the benefits of long-acting implants with the ease of self-administrable injectables.”

There are marketed injectable suspensions available in the United States and other countries, but these drugs are dispersed throughout the tissue after injection, so they only work for about three months. Other injectable products have been developed that can form longer-lasting depots under the skin, but these typically require the addition of precipitating polymers that can make up 23 to 98 percent of the solution by weight, which can make the drug more difficult to inject.

The MIT and BWH team wanted to create a formulation that could be injected through a small-gauge needle and last for at least six months and up to two years. They began working with a contraceptive drug called levonorgestrel, a hydrophobic molecule that can form crystals. The team discovered that suspending these crystals in a particular organic solvent caused the crystals to assemble into a highly compact implant after injection. Because this depot could form without needing large amounts of polymer, the drug formulation could still be easily injected through a narrow-gauge needle.

The solvent, benzyl benzoate, is biocompatible and has been previously used as an additive to injectable drugs. The team found that the solvent’s poor ability to mix with biological fluids is what allows the solid drug crystals to self-assemble into a depot under the skin after injection.

“The solvent is critical because it allows you to inject the fluid through a small needle, but once in place, the crystals self-assemble into a drug depot,” Traverso says.

By altering the density of the depot, the researchers can tune the rate at which the drug molecules are released into the body. In this study, the researchers showed they could change the density by adding small amounts of a polymer such as polycaprolactone, a biodegradable polyester.

“By incorporating a very small amount of polymers — less than 1.6 percent by weight — we can modulate the drug release rate, extending its duration while maintaining injectability. This demonstrates the tunability of our system, which can be engineered to accommodate a broader range of contraceptive needs as well as tailored dosing regimens for other therapeutic applications,” Park says.

Stable drug depots

The researchers tested their approach by injecting the drug solution subcutaneously in rats and showed that the drug depots could remain stable and release drug gradually for three months. After the three-month study ended, about 85 percent of the drug remained in the depots, suggesting that they could continue releasing the drugs for a much longer period of time.

“We anticipate that the depots could last for more than a year, based on our post-analysis of preclinical data. Follow-up studies are underway to further validate their efficacy beyond this initial proof-of-concept,” Park says.

Once the drug depots form, they are compact enough to be retrievable, allowing for surgical removal if treatment needs to be halted before the drug is fully released.

This approach could also lend itself to delivering drugs to treat neuropsychiatric conditions as well as HIV and tuberculosis, the researchers say. They are now moving toward assessing its translation to humans by conducting advanced preclinical studies to evaluate self-assembly in a more clinically relevant skin environment. “This is a very simple system in that it’s basically a solvent, the drug, and then you can add a little bit of bioresorbable polymer. Now we’re considering which indications do we go after: Is it contraception? Is it others? These are some of the things that we’re starting to look into as part of the next steps toward translation to humans,” Traverso says.

The research was funded, in part, by the Gates Foundation, the Karl van Tassel Career Development Professorship, the MIT Department of Mechanical Engineering, a Schmidt Science Fellows postdoctoral fellowship, the Rhodes Trust, a Takeda Fellowship, a Warren M. Rohsenow Fellowship, and a Kwangjeong Educational Foundation Fellowship.