At any given time, technology does two things to employment: It replaces traditional jobs, and it creates new lines of work. Machines replace farmers, but enable, say, aeronautical engineers to exist. So, if tech creates new jobs, who gets them? How well do they pay? How long do new jobs remain new, before they become just another common task any worker can do?

A new study of U.S. employment led by MIT labor economist David Autor sheds light on all these matters. In the postwar U.S., as Autor and his colleagues show in granular detail, new forms of work have tended to benefit college graduates under 30 more than anyone else. 

“We had never before seen exactly who is doing new work,” Autor says. “It’s done more by young and educated people, in urban settings.” 

The study also contains a powerful large-scale insight: A lot of innovation-based new work is driven by demand. Government-backed expansion of research and manufacturing in the 1940s, in response to World War II, accounted for a huge amount of new work, and new forms of expertise. 

“This says that wherever we make new investments, we end up getting new specializations,” Autor says. “If you create a large-scale activity, there’s always going to be an opportunity for new specialized knowledge that’s relevant for it. We thought that was exciting to see.” 

The paper, “What Makes New Work Different from More Work?” is forthcoming in the Annual Review of Economics. The authors are Autor; Caroline Chin, a doctoral student in MIT’s Department of Economics; Anna M. Salomons, a professor at Tilburg University’s Department of Economics and Utrecht University’s School of Economics; and Bryan Seegmiller PhD ’22, an assistant professor at Northwestern University’s Kellogg School of Management.

And yes, learning about new work, and the kinds of workers who obtain it, might be relevant to the spread of artificial intelligence — although, in Autor’s estimation, it is too soon to tell just how AI will affect the workplace.

“People are really worried that AI-based automation is going to erode specific tasks more rapidly,” Autor observes. “Eroding tasks is not the same thing as eroding jobs, since many jobs involve a lot of tasks. But we’re all saying: Where is the new work going to come from? It’s so important, and we know little about it. We don’t know what it will be, what it will look like, and who will be able to do it.”

“If everyone is an expert, then no one is an expert”

The four co-authors also collaborated on a previous major study of new work, published in 2024, which found that about six out of 10 jobs in the U.S. from 1940 to 2018 were in new specialties that had only developed broadly since 1940. The new study extends that line of research by looking more precisely at who fills the new lines of work. 

To do that, the researchers used U.S. Census Bureau data from 1940 through 1950, as well as the Census Bureau’s American Community Survey (ACS) data from 2011 to 2023. In the first case, because Census Bureau records become wholly public after about 70 years, the scholars could examine individual-level data about occupations, salaries, and more, and could track the same workers as they changed jobs between the 1940 and 1950 Census enumerations. 

Through a collaborative research arrangement with the U.S. Census Bureau, the authors also gained secure access to person-level ACS records. These data allowed them to analyze the earnings, education, and other demographic characteristics of workers in new occupational specialties — and to compare them with workers in longstanding ones.

New work, Autor observes, is always tied to new forms of expertise. At first, this expertise is scarce; over time, it may become more common. In any case, expertise is often linked to new forms of technology.

“It requires mastering some capability,” Autor says. “What makes labor valuable is not simply the ability to do stuff, but specialized knowledge. And that often differentiates high-paid work from low-paid work.” Moreover, he adds, “It has to be scarce. If everyone is an expert, then no one is an expert.”

By examining the census data, the scholars found that back in 1950, about 7 percent of employees had jobs in types of work that had emerged since 1930. More recently, about 18 percent of workers in the 2011-2023 period were in lines of work introduced since 1970. (That happens to be roughly the same portion of new jobs per decade, although Autor does not think this is a hard-and-fast trend.) 

In these time periods, new work has emerged more often in urban areas, with people under 30 benefitting more than any other age category. Getting a job in a line of new work seems to have a lasting effect: People employed in new work in 1940 were 2.5 times as likely to be in new work in 1950, compared to the general population. College graduates were 2.9 percentage points more likely than high school graduates to be engaged in new work. 

New work also has a wage premium, that is, better salaries on aggregate than in already-existing forms of work. Yet as the study shows, that wage premium also fades over time, as the particular expertise in many forms of new work becomes much more widely grasped. 

“The scarcity value erodes,” Autor says. “It becomes common knowledge. It itself gets automated. New work gets old.”

After all, Autor points out, driving a car was once a scarce form of expertise. For that matter, so was being able to use word-processing programs such as WordPerfect or Microsoft Word, well into the 1990s. After a while, though, being able to handle word-processing tools became the most elementary part of using a computer.

Back to AI for a minute

Studying who gets new jobs led the scholars to striking conclusions about how new work is created. Examining county-level data from the World War II era, when the federal government was backing new manufacturing in public-private partnerships throughout the U.S., the study shows that counties with new factories had more new work, and that 85 to 90 percent of new work from 1940 to 1950 was technology-driven. 

In this sense there was a great deal of demand-driven innovation at the time. Today, public discourse about innovation often focuses on the supply side, namely, the innovators and entrepreneurs trying to create new products. But the study shows that the demand side can significantly influence innovative activity. 

“Technology is not like, ‘Eureka!’ where it just happens,” Autor says. “Innovation is a purposive activity. And innovation is cumulative. If you get far enough, it will have its own momentum. But if you don’t, it’ll never get there.”

Which brings us back to AI, the topic so many people are focused on in 2026. Will AI create good new jobs, or will it take work away? Well, it likely depends how we implement it, Autor thinks. Consider the massive health care sector, where there could be a lot of types of tech-driven new work, if people are interested in creating jobs.

“There are different ways we could use AI in health care,” Autor says. “One is just to automate people’s jobs away. The other is to allow people with different levels of expertise to do different tasks. I would say the latter is more socially beneficial. But it’s not clear that is where the market will go.” 

On the other hand, maybe with government-driven demand in various forms, AI could get applied in ways that end up boosting health care-sector productivity, creating new jobs as a result. 

“More than half the dollars in health care in the U.S. are public dollars,” Autor observes. “We have a lot of leverage there, we can push things in that direction. There are different ways to use this.” 

This research was supported, in part, by the Hewlett Foundation, the Google Technology and Society Visiting Fellows Program, the NOMIS Foundation, the Schmidt Sciences AI2050 Fellowship, the Smith Richardson Foundation, the James M. and Cathleen D. Stone Foundation, and Instituut Gak.

MIT scientists Sven Dorkenwald and Whitney Henry have been named 2026 Searle Scholars, an award given annually to 15 exceptional early-career researchers in the fields of biomedical sciences and chemistry. Dorkenwald is an assistant professor of brain and cognitive sciences and an investigator at the McGovern Institute for Brain Research. Henry is the Robert A. Swanson (1969) Career Development Professor of Life Sciences and an intramural faculty member at the Koch Institute for Integrative Cancer Research.

In addition, MIT alumni Irene Kaplow ’10 and Jared Mayers PhD ’15 were also honored.

Chosen by a scientific advisory board, Searle Scholars are considered among the most creative young researchers pursuing high-risk/high-reward research. The Searle Scholars Program is funded through the Searle Funds at The Chicago Community Trust and administered by Kinship Foundation. Each scholar will each receive $450,000 in flexible funding to support their work over the next three years.

Sven Dorkenwald

Sven Dorkenwald is a computational neuroscientist investigating the organizational principles of neuronal circuits. The synaptic connectivity of neurons, their connectome, is fundamental to how networks of neurons function. Dorkenwald develops computational and collaborative tools to map, analyze, and interpret synapse-resolution connectomes. His work has led to large connectomic reconstructions of the fruit fly brain and parts of mammalian brains. He uses these connectomes to investigate the architecture of neuronal circuits and how their structure supports complex computations.

“As I establish my new lab, the Searle Scholars Award will help us launch ambitious projects and set our long-term scientific direction,” says Dorkenwald. “I am deeply grateful for the support from the Kinship Foundation and look forward to interacting with this amazing cohort of Searle Scholars.”

Dorkenwald joined the faculty of MIT in 2026 as an assistant professor in the Department of Brain and Cognitive Sciences and an investigator at the McGovern Institute. He earned a BS in physics and an MS in computer engineering from the University of Heidelberg, followed by a PhD in computer science and neuroscience at Princeton University in 2023 under the mentorship of Sebastian Seung and Mala Murthy. Dorkenwald completed his postdoctoral training as a Shanahan Research Fellow at the Allen Institute and the University of Washington, while serving as a visiting faculty researcher at Google Research.

Whitney Henry

Whitney Henry investigates the potential of ferroptosis, an iron-dependent form of cell death, for developing novel therapies that target subpopulations of cancer cells that are highly metastatic, therapy-resistant, and therefore critical instigators of tumor relapse. Her research is focused on uncovering the molecular factors influencing ferroptosis susceptibility, investigating its effects on the tumor microenvironment, and developing innovative methods to manipulate ferroptosis resistance in living organisms, drawing from functional genomics, metabolomics, bioengineering, and a range of in vitro and in vivo models.

“I am incredibly grateful to the Kinship Foundation for supporting our research and giving us the freedom to ask bold, curiosity-driven scientific questions,” says Henry. “This support allows us to pursue ambitious ideas, take creative risks, and embark on new research directions.”

Henry joined the MIT faculty in 2024 as an assistant professor in the Department of Biology and a member of the Koch Institute, and is currently an HHMI Freeman Hrabowski Scholar. She received her bachelor's degree in biology with a minor in chemistry from Grambling State University and her PhD from Harvard University. Following her doctoral studies, she worked in the lab of Robert Weinberg at the Whitehead Institute for Biomedical Research and was supported by fellowships from the Jane Coffin Childs Memorial Fund for Medical Research and the Ludwig Center at MIT.

Alumni also honored

Irene Kaplow ’10, a graduate of the MIT Department of Mathematics, is an assistant professor in the Department of Biology and the Ray and Stephanie Lane Computational Biology Department at Carnegie Mellon University. Her selection as a Searle Scholar is for “deciphering transcriptional regulatory mechanisms underlying mammalian dietary phenotype evolution and their relationships to transcriptional regulatory responses to changes in diet.”

Jared Mayers PhD ’15, who earned his doctorate from the MIT Department of Biology, is an assistant professor at the Fred Hutchinson Cancer Center at the University of Washington. His selection as a Searle Scholar is for “a reverse-translational framework to decipher metabolic vulnerabilities of bacterial pathogens.”

In 2023, the Center for Computational Science and Engineering (CCSE), an academic unit in the MIT Schwarzman College of Computing, introduced a new standalone PhD degree program. This interdisciplinary PhD program blends both coursework and a thesis, enabling students to pursue research in cross-cutting methodological aspects of computational science and engineering.

PhD candidate Emily Williams is poised to be the first graduate of the program. With a technical background in aerospace engineering and applied mathematics, her research interests include stochastic and generative modeling for multiscale chaotic systems. She earned a BS in aerospace engineering from the University of Illinois Urbana-Champaign and an MS in aeronautics and astronautics from MIT. She was awarded the Department of Energy Computational Science Graduate Fellowship, which funded her doctoral research. Here, she discusses her experience with the program and its impact on her career trajectory.

Q: What has been a highlight of the CCSE degree program?

A: I found the program curriculum to be extremely thoughtful and intentional. In particular, the program of study was constructed to cover many important areas of computational science and engineering research and education, from engineering and mathematical modeling to scientific and parallel computing. I found a lot of overlap with the DoE CSGF program of study, so I was given a lot of freedom to pursue very interesting technical electives that fit within CSE that I might not have been able to explore if I had been in a discipline-centric program.

Q: Why is this program so impactful, especially in the context of having a stand-alone PhD program?

A: I think a stand-alone PhD program helps to further establish the MIT CCSE as a leader in CSE research and education. The joint programs give graduate researchers more opportunity to learn and apply leading CSE methodologies to their disciplinary areas and primarily stay within their home department. For me, I’ve found that I’ve had more opportunities for collaboration, in potentially applying my methods to a wide range of different exciting applications. I think this theme of collaboration will continue to foster through those advancing through the standalone program in particular.

Q: What advice would you give to students considering this program?

A: I think my advice would be to keep an open mind. My interest in CSE was shaped by common threads in my education and research interests over the years that I didn’t think were connected at all. Through my fellowship and the standalone program, I felt like I was able to create my own path to my degree and take courses that excited me and fit within the CSE themes of our program of study.

A high-performance steel with MIT origins has come full circle. 

After proving its worth in Formula One and Baja 1000 race cars, the computationally designed material has now been incorporated into the 2026 electric race car built by the student-run MIT Motorsports team.

The MIT car is scheduled to race against cars from other universities in the Formula SAE Electric competition in June.

Designing materials

Gregory B. Olson, professor of the practice in the MIT Department of Materials Science and Engineering, founded the MIT Steel Research Group (SRG) in 1985 with the goal of using computers to accelerate the hunt for new materials by plumbing databases of those materials’ fundamental properties. It was the beginning of a new field — computational materials design — that would eventually lead to the Materials Genome Initiative, a national program announced by President Barack Obama in 2011.

In 1985, however, “nobody knew whether we could really do this,” says Olson. Olson and colleagues eventually showed that the approach worked, and around 1990 the Army Research Office funded an SRG project aimed at developing high-performance steels for the gears in helicopters. That work came to the attention of producers at “Infinite Voyage,” a science documentary that ran on the Public Broadcasting System.

“When “Infinite Voyage” came to see me about the helicopter gear steels,” Olson remembers, “we got into a discussion about my interest in race cars” and whether the steels might have an application there.

The answer was yes, and Olson found himself connecting with the Newman/Haas racing team that Michael and Mario Andretti were driving for. Newman/Haas was also featured in the “Infinite Voyage” program, so “my first discussion with their chief engineer was on live television,” says Olson, who is also affiliated with the MIT Materials Research Laboratory.

He and colleagues went on to design a novel gear steel that could withstand the extreme conditions associated with a race car. They did the work over a weekend. “The surface hardness was the same as for a conventional gear steel, but we gave it the core properties of an armor steel,” Olson says.

Introducing Ferrium C61

That steel, which became known as Ferrium C61, was commercialized through QuesTek Innovations, the materials-design company Olson co-founded. It became the company’s first product.

Although it was never used in Newman/Haas cars, QuesTek pitched it to Baja 1000 off-road racers.

“We particularly focused on the 1600 class of those racing dune buggies. They would go flying over a sand dune with the wheels spinning in the air. And when they land, there would be a tremendous jolt to the drive gears,” Olson says. The result: The racers’ gears made with conventional steel regularly failed.

“The average life for conventional drive gears was point-six race,” says Olson (meaning on average they lasted for only 60 percent of a race). “With Ferrium C61, we changed it from point-six to six races.” The gears could now complete an average six races before failing.

QuesTek brought that data to meetings with different Formula One teams “to try to get C61 into other racing classes,” Olson says. 

Enter Red Bull, the British-licensed Formula One team. “The leading mechanical failure in Formula One racing is gearbox failures,” Olsen says. The gearbox houses the gearset, or collection of gears, in a car’s engine. “Once Red Bull adopted our steel for the gearset, they never had any gearbox failures, and they were world champions four times in the last decade.”

MIT Motorsports heard of this history and within the past year approached Olson about getting a sample of C61. “QuesTek had some stock available, and sold it at a high discount to the MIT team with, of course, instructions on how to heat-treat it,” Olson says. 

Because, of course, the students, who are mostly undergraduates, made the gears — and the car — themselves.

Among all of the possible chemical compounds, it’s estimated that between 1020 and 1060 may hold potential as small-molecule drugs.

Evaluating each of those compounds experimentally would be far too time-consuming for chemists. So, in recent years, researchers have begun using artificial intelligence to help identify compounds that could make good drug candidates. 

One of those researchers is MIT Associate Professor Connor Coley PhD ’19, the Class of 1957 Career Development Associate Professor with shared appointments in the departments of Chemical Engineering and Electrical Engineering and Computer Science and the MIT Schwarzman College of Computing. His research straddles the line between chemical engineering and computer science, as he develops and deploys computational models to analyze vast numbers of possible chemical compounds, design new compounds, and predict reaction pathways that could generate those compounds. 

“It’s a very general approach that could be applied to any application of organic molecules, but the primary application that we think about is small-molecule drug discovery,” he says.

The intersection of AI and science

Coley’s interest in science runs in the family. In fact, he says, his family includes more scientists than non-scientists, including his father, a radiologist; his mother, who earned a degree in molecular biophysics and biochemistry before going to the MIT Sloan School of Management; and his grandmother, a math professor.

As a high school student in Dublin, Ohio, Coley participated in Science Olympiad competitions and graduated from high school at the age of 16. He then headed to Caltech, where he chose chemical engineering as a major because it offered a way to combine his interests in science and math.

During his undergraduate years, he also pursued an interest in computer science, working in a structural biology lab using the Fortran programming language to help solve the crystal structure of proteins. After graduating from Caltech, he decided to keep going in chemical engineering and came to MIT in 2014 to start a PhD.

Advised by professors Klavs Jensen and William Green, Coley worked on ways to optimize automated chemical reactions. His work focused on combining machine learning and cheminformatics — the application of computation methods to analyze chemical data — to plan reaction pathways that could make new drug molecules. He also worked on designing hardware that could be used to perform those reactions automatically. 

Part of that work was done through a DARPA-funded program called Make-It, which was focused on using machine learning and data science to improve the synthesis of medicines and other useful compounds from simple building blocks.

“That was my real entry point into thinking about cheminformatics, thinking about machine learning, and thinking about how we can use models to understand how different chemicals can be made and what reactions are possible,” Coley says.

Coley began applying for faculty jobs while still a graduate student, and accepted an offer from MIT at age 25. He received a mix of advice for and against taking a job at the same school where he went to graduate school, and eventually decided that a position at MIT was too enticing to turn down.

“MIT is a very special place in terms of the resources and the fluidity across departments. MIT seemed to be doing a really good job supporting the intersection of AI and science, and it was a vibrant ecosystem to stay in,” he says. “The caliber of students, the enthusiasm of the students, and just the incredible strength of collaborations definitely outweighed any potential concerns of staying in the same place.”

Chemistry intuition

Coley deferred the faculty position for one year to do a postdoc at the Broad Institute, where he sought more experience in chemical biology and drug discovery. There, he worked on ways to identify small molecules, from billions of candidates in DNA-encoded libraries, that might have binding interactions with mutated proteins associated with diseases.

After returning to MIT in 2020, he built his lab group with the mission of deploying AI not only to synthesize existing compounds with therapeutic potential, but also to design new molecules with desirable properties and new ways to make them. Over the past few years, his lab has developed a variety of computational approaches to tackle those goals. 

“We try to think about how to best pair a challenge in chemistry with a potential computational solution. And often that pairing motivates the development of new methods,” Coley says. One model his lab has developed, known as ShEPhERD, was trained to evaluate potential new drug molecules based on how they will interact with target proteins, based on the drug molecules’ three-dimensional shapes. This model is now being used by pharmaceutical companies to help them discover new drugs.

“We’re trying to give more of a medicinal chemistry intuition to the generative model, so the model is aware of the right criteria and considerations,” Coley says.

In another project, Coley’s lab developed a generative AI model called FlowER, which can be used to predict the reaction products that will result from combining different chemical inputs. 

In designing that model, the researchers built in an understanding of fundamental physical principles, such as the law of conservation of mass. They also compelled the model to consider the feasibility of the intermediate steps that need to take place on the pathway from reactants to products. These constraints, the researchers found, improved the accuracy of the model’s predictions.

“Thinking about those intermediate steps, the mechanisms involved, and how the reaction evolves is something that chemists do very naturally. It’s how chemistry is taught, but it’s not something that models inherently think about,” Coley says. “We’ve spent a lot of time thinking about how to make sure that our machine-learning models are grounded in an understanding of reaction mechanisms, in the same way an expert chemist would be.”

Students in his lab also work on many different areas related to the optimization of chemical reactions, including computer-aided structure elucidation, laboratory automation, and optimal experimental design.

“Through these many different research threads, we hope to advance the frontier of AI in chemistry,” Coley says.

Justin Solomon, associate professor in the MIT Department of Electrical Engineering and Computer Science (EECS), has been appointed associate dean of engineering education in the MIT School of Engineering, effective July 1.

In this new role, Solomon will focus on advancing innovation in engineering education across the school. He will help shape new pedagogical approaches in the context of an AI-enabled world and will explore experiential, hands-on, and other modes of learning. Working closely with academic departments, Solomon will serve as a thought partner in integrating AI into curricula and will help facilitate interdisciplinary and shared teaching opportunities across departments and other schools. He will also play a key role in helping the school implement relevant recommendations from the Committee on AI Use in Teaching, Learning, and Research Training. 

Solomon will explore opportunities to build industry collaborations, including new models for internships and industry-engaged learning on campus. Collaborating with department heads and the School of Engineering leadership team, he will also support faculty in designing new courses and evolving existing programs to meet emerging opportunities in engineering.

“Justin’s interdisciplinary approach will be especially valuable as we continue to evolve engineering education to meet new opportunities and challenges. His extensive experience applying AI across a wide range of domains will help each academic department thoughtfully integrate AI and new educational models into their curricula,” says Paula T. Hammond, dean of the School of Engineering and Institute Professor. “I look forward to the vision and perspective he will bring to the school’s leadership team.”

A dedicated educator, Solomon has played a central role in shaping computing education at MIT. He is a key contributor to the Common Ground for Computing, where he co-teaches the core class 6.C01 (Modeling with Machine Learning: From Algorithms to Applications) with Regina Barzilay, the Delta Electronics Professor in the MIT Department of Electrical Engineering and Computer Science and affiliate faculty member at the Institute for Medical Engineering and Science. Within EECS, he teaches 6.7350 (Numerical Algorithms for Computing and Machine Learning) as well as 6.8410 (Shape Analysis). He is also the founder of the Summer Geometry Initiative, a six-week program that introduces students to geometry processing through intensive training, collaboration, and research experiences.

Solomon’s dedication to teaching and helping students has been honored with various awards, including the EECS Outstanding Educator Award and the Burgess (1952) and Elizabeth Jamieson Prize for Excellence in Teaching. He is the author of “Numerical Algorithms,” a textbook that presents a modern approach to numerical analysis for computer science students.

Solomon is a principal investigator at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), where he leads the Geometric Data Processing Group. His research sits at the intersection of geometry and computation, with applications spanning computer graphics, autonomous navigation, political redistricting, physical simulation, 3D modeling, and medical imaging. He is also a core faculty member of the MIT-IBM Watson AI Lab, contributing to research that advances the foundations and applications of artificial intelligence.

His scholarly contributions have been recognized with numerous distinctions, including the 2023 Harold E. Edgerton Faculty Achievement Award for exceptional contributions in teaching, research, and service. In 2025, he was named a Schmidt Polymath, supporting interdisciplinary research across areas such as acoustics and climate that rely on large-scale simulation of physical systems.

Solomon joined the MIT faculty in 2016. He previously held an NSF Mathematical Sciences Postdoctoral Research Fellowship in Princeton University’s Program in Applied and Computational Mathematics. He earned his bachelor’s, master’s, and doctoral degrees from Stanford University. While studying at Stanford, he also worked as a research assistant at Pixar Animation Studios.

Urbanization in the Asia-Pacific region of the world is occurring at an alarmingly rapid pace, with more than 2.2 billion people now living in cities in the region, and an additional 1.2 billion projected to migrate to cities by 2050, according to a February 2026 report from the U.N. Economic and Social Commission for Asia and the Pacific, the Asian Development Bank, and the U.N. Development Program.

Such rapid growth places stress on nearly every aspect of urban areas, including housing, drinking water and sewage sources, roads and other transportation modes, and often results in environmental degradation and an increased vulnerability to climate-related disaster. But the situation also presents opportunities for doing things differently by deploying improved urban planning and management approaches, economic development strategies, as well as innovative technologies in real estate development and investment.

With a keen awareness of this ongoing urbanization and the pressures it brings, the MIT Center for Real Estate (CRE) within the MIT School of Architecture and Planning established the MIT Asia Real Estate Initiative (AREI) in 2022. The AREI mission is to serve as a platform for collaborative research, education, and industry engagement that will help urban areas across the Asia-Pacific region and the Gulf Corridor adapt to these ongoing challenges and allow their growing populations to thrive.

The AREI is co-directed by Professor Siqi Zheng, faculty director of the CRE and director of the MIT Sustainable Urbanization Lab, and James Scott MS ’16, a lecturer who is director of industry and professional programs for the CRE and director of the MIT Real Estate Transformation Lab.

“Imagine a region building the equivalent of a Boston every 40 days,” says Zheng, the STL Champion Professor of Urban and Real Estate Sustainability. “Asia is not just urbanizing. It’s redefining city life on a planetary scale.

“Drawing on MIT CRE’s deep roots in the region — more than half of international students in our MSRED program hail from Asia, and we have a robust 40-year alumni network spanning the Asia-Pacific countries and Gulf Corridor countries of West Asia — the AREI will naturally extend MIT’s role as a global convening point for real estate thought leaders.”

The initiative’s work will center on three pillars tailored to Asia’s urban needs: sustainable cities and real estate, urban vibrancy and dynamics, and technology and innovation.

Zheng is a leading scholar of sustainable urban development, real estate markets, and environmental quality, with particular expertise in China and Asia. She currently serves as president of the American Real Estate and Urban Economics Association and is a former president of the Asia Real Estate Society. Her research, which has appeared in leading journals across urban and real estate economics, environmental science, and urban studies, examines the tensions and synergies between fast urbanization and quality of life in cities, and how cities can develop their resilience against future uncertainties. She is now coauthoring a book with Matthew Kahn titled, “The Triumph of Asian Cities: Growth, Risk and Resilience in the 21st Century” (Harvard University Press).

Co-director Scott specializes in technology and innovation in the built environment. While attending MIT as a graduate student, his focus quickly moved in this direction. He has since played a pivotal role in advancing innovation and adoption of technology across some of the largest and most forward-thinking real estate organizations. Much of his work now is in PropTech, an inclusive phrase referring to new technologies in all areas of real estate, including financing, construction, sales, and materials lifespan, among others. His focal areas are Japan, South Korea, the United Arab Emirates, and other West Asian countries.

Scott credits the quick uptake of new PropTech for helping advance the speed of development in these regions.

“The sheer scale and pace of development across the Asia-Pacific and Gulf Corridor regions is extraordinary, from landmark projects like the Burj in Dubai to the transformative mega-developments in Saudi Arabia and the remarkable urban expansion seen in cities like Beijing and Shanghai over the past 10 to 15 years,” Scott says.

“Boston, by contrast, reflects a more incremental but equally important model of urban evolution,” he says. “The difference is not one of ambition, but of tempo and scale, and it underscores the diverse ways cities around the world are driving innovation in the built environment. This also highlights how the AREI can foster two-way learning across different development contexts, creating a platform for shared insights between rapidly evolving markets and more incremental urban ecosystems.”

In addition to its MIT headquarters, the initiative has two regional hubs — one in Tokyo, the other in Dubai, with a third planned for Hong Kong. The hubs will serve as loci for regional research, as well as provide a means of organizing the CRE’s many alumni in these areas for professional opportunities. For this reason, successful alumni have been selected to head each of the hubs.

Taka Kiura MS ’00 is director of the Toyko hub. After working for the global real estate development firm Heitman for more than 20 years, Kiura last year founded Base-K, a real estate and venture capital investment firm. He also is CEO and founder of HyStat, an investment firm that backs and accelerates the adoption of next-generation technologies.

The Dubai Hub is directed by Ocean Saleem Jangda MS ’25, who works on development innovation partnerships at Majid Al Futtaim Properties, one of the largest mixed-use developers in the Gulf Region.

This spring, Zheng is co-taught course 15.S67 (Special Seminar in Management) in the MIT Sloan-CRE Real Estate Lab. The course, co-taught with Hong Ru, a visiting associate professor in the MIT Sloan School of Management, deployed interdisciplinary student teams to work on applied projects, one of which is in Singapore. Zheng also has partnered with MIT International Science and Technology Initiatives, a program under the MIT Center for International Studies, that is offering student internships with the AREI Hong Kong hub next January.

Another of the steps in the directors’ goal of coalescing CRE alumni in these areas will be organized by Ryan Othman, who will return to Saudi Arabia following completion of his master’s this month to launch his real estate development business in mid-sized market residential and industrial projects.

Othman, who also holds a BS in civil engineering and an SM in finance, will lead an MSRED/AREI trek to introduce next year’s MSRED students to alumni and other business and government officials in Saudi Arabia. “The MIT’s master’s in real estate development is the oldest in the country,” he says. “It’s a powerful program with an amazing alumni network, which I’d like to help expand.”

“Asian cities have become the defining arena for global economic growth, environmental change, and human welfare in the 21st century,” Zheng explains. “Their future depends on durable, place-based infrastructure, real estate investments shaped by regional integration, human capital, and how these cities interact with each other and the rest of the world.

“The outcome of this incredible growth will largely determine global living standards and environmental consequences for the remainder of this century. I believe the MIT Asia Real Estate Initiative is a great platform for the MIT community to make its intellectual contribution to these mega-dynamics.” 

Senior MBA student Patrick Yeung came to MIT Sloan School of Management wanting to be surrounded by a community of builders. 

“I come from a consulting background, which has its own strengths and gives you a specific toolkit, but I felt like I was not very technical, and so I wanted to be surrounded and inspired by people who had that knowledge and experience,” he says.

“MIT Sloan’s Sustainability Initiative provides a great platform to help a generalist like myself become more specialized in this space, whether it be the Sustainability lunch series that they run every Thursday, the annual conference that gets organized, or the class catalog that aligns with the Sustainability Certificate.”

Yeung eventually hopes to join a climate tech scale-up to help formalize the business and scale, using what he’s learned at MIT Sloan to make a real impact.

“I've come to appreciate the systems thinking approach to sustainability that MIT Sloan has, especially in the context of the tech and lab-scale tech spinout ecosystem that MIT more broadly has. The technology is obviously an important piece of both climate mitigation and adaptation, but we will also need other techno-economic regime changes to be able to truly change our planet for the better — that takes policy and legal changes, that takes leadership and courage, and ultimately it takes a willingness to fail, over and over, in order to iterate.”

The following photo gallery provides a snapshot of what a typical day for Yeung has been like as an MIT student.

The Haystack 37m Telescope has been a landmark in radio astronomy and radar studies of the solar system since its first light in 1964. Over the following four decades, it supported NASA's Apollo landings on the moon, made planetary radar maps of the surface of Venus, contributed to experimental tests of Einstein's general relativity, supported the development of VLBI, and conducted foundational studies of quasars and star-forming regions. 

Recently, the Haystack 37m Telescope — a 37-meter radio and millimeter-wavelength antenna at MIT Haystack Observatory in Westford, Massachusetts — made its return to front-line astronomical research following an extended period of system upgrades. These observations reconnect this instrument with its long tradition of scientific discovery and open a new chapter.

On Dec. 8, 2025, Haystack scientists observed the supermassive black hole system at the center of the galaxy Messier 87 (M87) using a technique called very long baseline interferometry (VLBI) that links telescopes across continents to achieve extraordinary resolution. These observations mark the return of one of America's most storied radio telescopes to its historical scientific and educational mission.

The observations targeted the powerful jet of energy and matter launched from M87’s central black hole, M87*. This jet, driven by a black hole six-and-a-half billion times the mass of our sun, extends thousands of light years into intergalactic space and is one of the most energetic phenomena in the known universe. 

Previous international campaigns, namely those led by the Event Horizon Telescope, have imaged the black hole's immediate “shadow.” The Haystack 37m Telescope observations, performed in collaboration with the telescopes of the Very Long Baseline Array (VLBA) and the Greenland Telescope (GLT), help to probe the larger-scale structure of the jet, investigating how energy is transported far beyond the black hole's vicinity. Understanding this process is central to explaining how supermassive black holes shape the galaxies that surround them.

“The Haystack 37m Telescope’s exceptional sensitivity enables the intercontinental telescope array to detect faint emission from around the distant M87* black hole,” says Paul Tiede, principal investigator of the M87 study. “In tandem with the GLT and the VLBA, Haystack is helping create the first multifrequency movies of M87*’s faint jet, greatly improving our understanding of black hole physics.”

The upgraded Haystack 37m Telescope opens multiple new lines of research. At MIT, Saverio Cambioni and Richard Teague of the Department of Earth, Atmospheric and Planetary Sciences (EAPS) plan to use the instrument within MIT’s Planetary Defense Project to measure asteroid sizes and shapes, characterizing objects that could pose a hazard to Earth and deepening our understanding of the solar system’s formation. Associate Professor Brett McGuire of the Department of Chemistry plans to search for complex organic molecules in space, work that speaks to the question of how the chemical precursors to life arise.

“We are thrilled to provide the research community with a powerful telescope at a time where few such instruments are available,” says Jens Kauffmann, principal investigator of the Haystack 37m Telescope Astronomy Program, who uses the telescope to study the formation of stars and their planets. “Even more exciting are the prospects this generates for the next generation of astronomers. Hands-on training opportunities on world-class research telescopes have become exceptionally rare worldwide, and now we can offer this singular advanced workforce development program right here in Massachusetts.”

Student involvement with the Haystack 37m Telescope has already resumed: Undergraduate interns at Haystack Observatory played an active role in developing the telescope’s control systems and data analysis algorithms. This work exemplifies Haystack’s role as a hands-on research and training environment where students contribute directly and gain practical experience with a frontline research instrument.

The return to research-focused observations is the result of more than 10 years of careful, sustained work. From 2010 to 2014, the Haystack 37m Telescope underwent a major upgrade and refurbishment that enhanced its ability to observe at millimeter wavelengths. This work was primarily done to improve the antenna’s capability as a space radar. The dish now primarily serves U.S. government agencies in that capability, and astronomy was temporarily a secondary activity. 

But work to restore the telescope's science capability never stopped. Initial support from the National Science Foundation (NSF) in 2015 modernized systems for data analysis and radio signal processing. The first successful engineering-oriented VLBI experiments with the new dish were conducted at the same time. Additional NSF funding in 2019, provided in the context of the Next Generation Event Horizon Telescope (ngEHT) program, enabled a more general and sustained effort to upgrade receiver equipment and computing systems. Support from private donors to Haystack also aided in this longer-term effort.

Several recent developments, particularly in 2025, proved significant. With support from MIT's Jarve Seed Fund for Science Innovation, scientists and engineers removed lingering technical limitations with astronomy systems and expanded the telescope's scientific reach. Other funding for projects led by the Smithsonian Astrophysical Observatory enabled the M87 campaign and commissioning of the next-generation digital back end, a highly advanced signal-processing system developed for the ngEHT. Together, these advances made the December 2025 observations possible. MIT Haystack Observatory is now pursuing support from both private and federal sources for further improvements under the Haystack 37m Telescope Astronomy Program.

“The upgraded Haystack 37m Telescope empowers MIT students and researchers to pursue fundamental questions relating to our origins and our solar system,” says Richard Teague, professor at MIT EAPS. “With privileged access to such a powerful facility, we can undertake ambitious observational programs previously impossible to schedule. This is the beginning of what we expect will be an exciting era of new discoveries with the Haystack 37m Telescope.”

Using a powerful single-molecule imaging method they developed, a research team from the Broad Institute of MIT and Harvard has unveiled a dynamic view of how some cancer-related proteins interact in living cells. 

The technique relies on highly stable nanoparticle probes that brightly illuminate individual molecules for long periods of time. The researchers used their method to observe, for the first time, individual receptors as they move around the cell membrane, attaching to and then letting go of other receptors to alter signaling within the cell.

Described in the journal Cell, the work demonstrates the method’s potential for investigating other receptors and molecules, and for improved drug screening to better understand the effects of therapeutics on living cells.

“With our photostable probes, we can map out the entire lifespan of these molecules in their native environment and see things that have never been observable before,” says study leader Sam Peng, a Broad Institute core institute member and assistant professor of chemistry at MIT.

Molecular movies

Peng’s method solves a problem with existing contrast agents used in single-molecule tracking, such as dyes. Under the laser light that’s used to excite these dyes, they burn out after a few seconds in a phenomenon known as photobleaching, which means that scientists could only use them to take a few snapshots of cell receptors, and not follow them over the entirety of the signaling process.

For a longer and richer view, Peng’s lab developed long-lasting probes, known as upconverting nanoparticles, which emit signals that remain stable under laser excitation. The nanoparticles contain rare-earth ions that continue to luminescence for minutes, hours, and potentially years. In addition, by altering the type and doses of the ions, scientists can engineer probes emitting in many different colors, enabling tracking of many targets in a single experiment.

In the current study, the researchers aimed to uncover new biology by focusing on the EGFR family of cell receptors, which have been linked to several kinds of cancer. They collaborated with EGFR experts Matthew Meyerson and Heidi Greulich of the Broad’s Cancer Program. They knew that EGFR receptors need to pair up, or “dimerize,” in order to initiate signaling within the cell, but they wanted to learn more about the dynamics of these pairings — what the receptors partner with, how long they stay together, and how they find new partners.

For a better and more sustained look at the receptors, the research team customized their upconverting nanoparticles to tag EGFR and related receptors HER2 and HER3, which are linked to cancer, and used them to track the molecules in living human cells.

A new view of protein pairings

In this study, Peng and his team observed that, when activated with a stimulating molecule, EGFR receptors can pair up and stay dimerized for several minutes, something not observable using traditional dyes. Excessive and prolonged dimerization can lead to too much cell growth and cancer.

A microscopy video shows upconverting nanoparticles tagged to EGFR receptors (labeled pink and green), which track individual receptors as they dimerize. Image courtesy of the researchers.

When the EGFR molecules carried cancer-related mutations, the dimers became more stable, with the more stabilizing mutations linked to more potent cancers in people. In addition, the mutated receptors could form stable dimers even without an external stimulus prompting them to dimerize. The finding helps explain how EGFR mutations can lead to uncontrolled cell growth and cancer, and could inform efforts to target this process therapeutically.

The team discovered several other new and surprising details about how HER2 and HER3 form stable pairings with themselves, which helps illuminate the role of these molecules in related cancers.

When the research team tagged all three receptor types in one experiment, they observed a vibrant scene with receptors navigating the cell surface, finding partners, unpairing, and then finding new partners, over and over again.

Beyond shedding light on EGFR biology, the scientists hope that collaborators in other fields will apply their method to ask new scientific questions about other proteins of interest. “We think this technique could be transformative for studying molecular biology, because it enables dynamic biological processes to be observed with high spatiotemporal resolution over unprecedented timescales,” says Peng.

They are also planning to explore the method’s use in studying the mechanism of drug action, to reveal how potential therapeutics alter individual molecules over time. In addition, they will continue to improve their methods, such as making the probes smaller, brighter, and able to emit more colors.

In the aftermath of a devastating earthquake, unpiloted aerial vehicles (UAVs) could fly through a collapsed building to map the scene, giving rescuers information they need to quickly reach survivors. 

But this remains an extremely challenging problem for an autonomous robot, which would need to swiftly adjust its trajectory to avoid sudden obstacles while staying on course.

Researchers from MIT and the University of Pennsylvania developed a new trajectory-planning system that tackles both challenges at once. Their technique enables a UAV to react to obstacles in milliseconds while staying on a smooth flight path that minimizes travel time. 

Their system uses a new mathematical formulation that ensures the robot travels safely to its destination along a feasible path, and that is less computationally intensive than other techniques. In this way, it generates smoother trajectories faster than state-of-the-art methods.

The trajectory planner is also efficient enough for real-time flight using only the robot’s onboard computer and sensors. 

Named MIGHTY, the open-source system does not require proprietary software packages that can cost hundreds of thousands of dollars. It could be more readily deployed in a wider variety of real-world settings.

In addition to search-and-rescue, MIGHTY could be utilized in applications like last-mile delivery in urban spaces, where UAVs need to avoid buildings, wires, and people, or in industrial inspection of complex structures, such as wind turbines.

“MIGHTY achieves comparable or better performance using only open-source tools, which means any researcher, student, or company — anywhere in the world — can use it freely. By removing this cost barrier, MIGHTY helps democratize high-performance trajectory planning and opens the door for a much broader community to build on this work,” says Kota Kondo, an aeronautics and astronautics graduate student and lead author of a paper on this trajectory planner.

Kondo is joined on the paper by Yuwei Wu, a graduate student at the University of Pennsylvania; Vijay Kumar, a professor at UPenn; and senior author Jonathan P. How, a Ford professor of aeronautics and astronautics and a principal investigator in the Laboratory for Information and Decision Systems (LIDS) and the Aerospace Controls Laboratory (ACL) at MIT. The research appears in IEEE Robotics and Automation Letters.

Overcoming trade-offs           

When Kondo was a child, the Fukushima Daiichi nuclear accident occurred following the Great East Japan Earthquake. With school cancelled, Kondo was stuck at home and watched the news every day as workers explored and secured the reactor site. Some workers still had to enter hazardous areas to contain the damage and assess the situation, exposing them to high doses of radioactive material.

“I became passionate about creating autonomous robots that can go into these dynamic and dangerous situations, then come back and report to humans who stay out of harm’s way,” Kondo says.

This task requires a strong trajectory planner, which is software that decides the path a robot should follow to safely get from point A to point B. 

But many existing systems force tradeoffs that limit performance. 

While some commercial systems can rapidly generate smooth trajectories, they can cost hundreds of thousands of dollars. Open-source alternatives often underperform compared to commercial solvers or are difficult to use.      

With MIGHTY, Kondo and his colleagues developed an open-source system that produces high-quality, smooth trajectories while reacting to obstacles in real-time, and which runs fast enough for flight using only onboard components.

To do this, they overcame a key challenge that limits many open-source systems. 

These methods usually estimate how long it will take the robot to get from point A to point B as a first step. From that fixed estimation of travel time, the planner finds the best path to reach the destination.

While using a fixed travel time allows the planner to rapidly generate a trajectory, it has drawbacks. For one, if the UAV must go far out of its way to avoid obstacles, it could be forced to crank up the speed to meet the fixed travel-time budget. This makes it harder to avoid sudden hazards.

A MIGHTY method

Instead, MIGHTY uses a mathematical technique, called a Hermite spline, that optimizes the travel time and flight path together, in a single step, to form a smooth trajectory that can be precisely controlled.

“Optimizing the spatial and temporal components together gets us better results, but now the optimization becomes so much bigger that it is harder to solve in a feasible amount of time,” Kondo says.

The researchers used a clever technique to reduce this computational overhead. 

Instead of generating a trajectory from scratch each time, MIGHTY makes an initial guess of a trajectory. Then it refines the trajectory through an iterative optimization, using a map of the scene generated by the UAV’s lidar sensors.

“We can make a decent guess of what the trajectory should be, which is a lot faster than generating the entire thing from nothing,” Kondo says.

This enables MIGHTY to react in real-time to unknown obstacles while keeping the trajectory smooth and minimizing travel time. The system utilizes the UAV’s onboard components, which is important for applications where a robot might travel far from a base station.

In simulated experiments, MIGHTY needed only about 90 percent of the computation time required by state-of-the-art methods, while safely reaching its destination about 15 percent faster than these approaches. 

When they tested the system on real robots, it reached a speed of 6.7 meters per second while avoiding every obstacle that appeared in its path.

“With MIGHTY, everything is integrated in one piece. It doesn’t need to talk to any other piece of software to get a solution. This helps us be even faster than some of the commercial solvers,” Kondo says.

In the future, the researchers want to enhance MIGHTY so it can be used to control multiple robots at once and conduct more flight experiments in challenging environments. They hope to continue improving the open-source system based on user feedback.

“MIGHTY makes an important contribution to agile robot navigation by revisiting the trajectory representation itself. Hermite splines have already been successfully used in visual simultaneous localization and mapping, and it is nice to see their advantages now being exploited for trajectory planning in mobile robots. By enabling joint optimization of path geometry, timing, velocity, and acceleration while retaining local control of the trajectory, MIGHTY gives robots more freedom to compute fast, dynamically feasible motions in cluttered environments,” says Davide Scaramuzza, professor and director of the Robotics and Perception Group at the University of Zurich, who was not involved with this research.

This research was funded, in part, by the United States Army Research Laboratory and the Defense Science and Technology Agency in Singapore.

The brain’s capacity to use and understand language expands rapidly in the first years of life, as babies start to make sense of the words they hear and eventually begin to piece together sentences of their own. The language-processing parts of the brain that make this possible continue to evolve in older children, as they expand their vocabularies and learn to use language more flexibly. 

MIT brain researchers have captured snapshots of the developing language-processing network in brain scans of hundreds of children and adolescents. Their data, reported May 16 in the journal Nature Communications, show that the network continues to mature, becoming better integrated and increasingly responsive until around age 16. But they also found that a key feature of the adult language network is established early on: its localization in the left side of the brain. 

Language lateralization 

It is well known that using language is mostly the job of the left hemisphere. As adults, we call on the language-processing regions there when we read, write, speak, or listen to others talk. But there was some question as to whether this left lateralization is established early in life, or might instead emerge as the language network matures, with both sides of the brain contributing to language in childhood. 

To find out, researchers needed to see young brains in action — and several MIT labs had collected exactly the right kind of data. Groups led by Evelina Fedorenko, an associate professor of brain and cognitive sciences; John Gabrieli, the Grover Hermann Professor of Health Sciences and Technology; and Rebecca Saxe, the John W. Jarve (1978) Professor of Brain and Cognitive Sciences, teamed up to share brain scans from children, adolescents, and adults and compare how their brains responded to language. Fedorenko, Gabrieli, and Saxe are also investigators at the McGovern Institute for Brain Research. 

In studies aimed at better understanding a variety of cognitive functions and developmental disorders, the three teams had all collected functional MRI data while subjects participated in “language localizer” tasks — an approach the Fedorenko lab developed to map the language-processing network in a person’s brain. By monitoring brain activity with functional MRI as people engage in both language tasks and non-linguistic tasks, researchers can identify parts of the brain that are exclusively dedicated to language processing, whose precise anatomic location varies across individuals. 

To activate the language network, the researchers had children listen to stories inside the MRI scanner. Depending on their age, some heard excerpts of “Alice in Wonderland,” some listened to podcasts and TED talks, and others heard shorter, simpler stories. To watch their brains during a non-linguistic task, the researchers had the children listen to nonsense words. 

Across the data from the three labs, which included children between the ages of 4 and 16, as well as adults for comparison, the team saw clear developmental changes in the brain’s response to language. “The integration of the system — how well different subregions of the system correlated with each other and worked together during language processing — was stronger in older children as compared to younger children,” says Ola Ozernov-Palchik, a research scientist in Gabrieli’s lab and a research assistant professor at Boston University. The system was also more strongly activated by language in older children, which may reflect their growing comprehension of what they hear. 

But strikingly, almost all language processing happened on the left side of the brain, even in the youngest subjects. “From age 4 on, it seems just as lateralized as in an adult,” Gabrieli says. 

Language and developmental disorders 

The researchers say this finding has implications for understanding developmental conditions that impact language, including autism and dyslexia. The right side of the brain frequently gets more involved in language processing in people with these conditions than it does in typically developing children. “Almost every single developmental disorder that’s associated with language has a theory that’s related to language lateralization,” Ozernov-Palchik says. 

The reason for more bilateral language processing in some disorders is debated. One idea has been that some people might use both sides of their brain for language processing because their brains are less mature. If the right side of the brain processes language early in life, scientists had reasoned, it might simply continue to do so for longer in people with autism or dyslexia than it does in neurotypical individuals. But if most people use the left side of their brains for language even when they are young, the difference can’t be attributed to a developmental delay. Other developmental differences might cause bilateral language processing instead. 

The researchers don’t have the full picture yet; they still need to know what parts of the brain process language in children younger than 4. Likewise, they would like to know what the brain areas that become the language network are doing in the first months of life, when infants aren’t using language yet. They are eager to find out, both to understand fundamentals of brain development and to shed light on developmental disorders. “I think understanding that normal trajectory is really critical for interpreting what a deviation from that trajectory is,” says Amanda O’Brien, a former graduate student in Gabrieli’s lab who is now a postdoc at Harvard University. 

One reason people thought lateralization might develop gradually is because damage to the left hemisphere of the brain impacts language abilities differently, depending on when it occurs. “If you have damage to the left hemisphere as an adult, you’re very likely to end up with some form of aphasia, at least temporarily,” Fedorenko explains. “But a lot of the time, with early damage to the left hemisphere, you grow up and you’re totally fine. The language can just develop in the right hemisphere.” 

Some scientists suspected that the right side of the brain was able to take over language processing in children who suffered early-life brain damage because it was already participating in this function at the time. But the team’s findings suggest the developing brain may be nimbler than that. “Our data tell you that this early plasticity apparently happens in spite of the fact that by age 4, we see these very strongly lateralized responses already,” Fedorenko says.

In 2001, at the dawn of the digital age, MIT made a bold decision: to open its curriculum to the world. Through MIT OpenCourseWare — now part of MIT Open Learning — the Institute began sharing materials from nearly all of its courses online for free.  

A quarter of a century later, that decision has impacted the lives of more than 500 million people across the world who have used OpenCourseWare’s resources to expand their knowledge and develop new skills. 

“When MIT opens its doors, the world walks in,” said Dimitris Bertsimas, vice provost for open learning, at OpenCourseWare’s recent 25th Anniversary Symposium. “Twenty-five years ago, MIT made a bet on openness, generosity, and on the belief that knowledge is a public good. That bet has paid off 500 million times over.”

The impact of that bet took center stage as nearly 200 people gathered on campus for the symposium on April 8. The daylong celebration brought together faculty and staff, OpenCourseWare learners and educators, new and early funders of the program, MIT President Sally Kornbluth, Bertsimas, and others to reflect on OpenCourseWare’s global impact and the future of free and open education. 

The occasion also marked the premiere of “The Courage to Be Open: MIT OpenCourseWare and the Democratization of Knowledge.” Produced by MIT Open Learning’s Emmy Award-winning video team, the short documentary explores the origin, influence, and global reach of OpenCourseWare.

Initially announced as a 10-year initiative, MIT OpenCourseWare now offers more than 2,500 courses that span the undergraduate and graduate curriculum. Learners can freely access lecture notes, syllabi, problem sets, exams, and video lectures through the MIT Learn platform, the OpenCourseWare website, and its YouTube channel, which has grown into the platform’s most popular higher education channel with more than 6 million subscribers. To extend that reach even further, the OpenCourseWare Mirror Site Program provides free copies of course content on hard drives to educational organizations with limited or costly internet access.

From an idea to a global movement

In launching OpenCourseWare, MIT sparked a global movement, inspiring other universities to create their own open course initiatives and solidifying grassroots open education efforts into worldwide communities like OE Global. “Today, [OpenCourseWare] is cited in national education strategies, by nonprofit initiatives, and by international development programs — proof that openness scales when you lead with vision and courage,” Kornbluth said.

That impact lives on in the learners who turn to the Institute’s free course materials every day — from a community college student in Boston to a teenager in Australia to medical students in Turkey. OpenCourseWare has expanded the reach of MIT’s life-changing knowledge to nearly every corner of the world and opened doors to learners of all ages and backgrounds.

For many, that access is transformative. High school senior Hinata Yamahara and Andrea Henshall, a veteran of the United States Air Force, shared how OpenCourseWare helped fuel their curiosity, support their studies, and advance their goals.

“OpenCourseWare [reduces] the barrier to entry to more specialized topics,” said Yamahara, who discovered the resources while exploring an interest in urban planning, and now credits an MIT workshop with helping him pass the Federal Aviation Administration’s Private Pilot Knowledge Test.

From access to agency

What emerges across stories is that MIT’s decision to give away its course materials exemplified its mission to advance knowledge in service of the nation and the world. Openness, noted speakers, is part of the Institute’s DNA. “It’s written into our values,” said Chris Bourg, director of libraries at MIT, where she is also the founding director of the Center for Research on Equitable and Open Scholarship (CREOS).

Those values have also drawn thousands of supporters — from alumni and individual learners to businesses and the world’s leading philanthropic foundations — to help underwrite the initiative, and Open Learning more generally.

By making course materials not only free, but open, the Institute enables anyone to download, copy, modify, reuse, remix, and redistribute its resources for educational, non-commercial uses. “Access is powerful and absolutely necessary,” said Curt Newton, director of OpenCourseWare. “But openness goes further. It invites participation.”

For educators like Elizabeth Siler, a professor at Worcester State University in the department of business administration and economics, and Victor Odumuyiwa, an associate professor in computer science at the University of Lagos, OpenCourseWare offers a window into how MIT designs learning experiences and a foundation to bring those approaches into their own classrooms.

“I applied the same approach back home and, sincerely, I’ve gotten a lot of positive feedback from people getting jobs in global companies after taking the course that I designed,” Odumuyiwa said. 

For faculty on MIT’s campus, OpenCourseWare has also been transformative, fostering interdisciplinary collaborations and innovative uses of digital educational tools. Referencing the United Nations Sustainable Development Goals, Christopher Capozzola, the Elting E. Morison Professor of History at MIT, pointed to quality education (goal 4), reduced inequalities (goal 10), and peace, justice, and strong institutions (goal 16) as a guiding equation for open education. “I believe that MIT, through OpenCourseWare and all of our open education initiatives, has committed to solving that problem,” he said. “I just wanted to roll up my sleeves and be part of that.”

A new era for open education

If the rise of the internet in the early 2000s catalyzed MIT’s decision to “open its doors to the world without requiring a key,” said Kornbluth, artificial intelligence now presents a new moment to lead.

Building on that legacy, MIT Open Learning is leading the way with the launch of MIT Learn, an AI-enabled hub for the Institute’s non-degree learning opportunities. The platform brings together innovations like AskTIM — an AI assistant that helps learners discover relevant offerings and, in select offerings, enhances understanding with guided support — and new self-paced, modular online learning experiences that prepare learners to take on complex global challenges, including AI and climate. Together, these advances move MIT closer to a future of truly personalized education at global scale, grounded in faculty expertise and research.

“Sometime in the next five years, I’m looking for a moment that rhymes with what happened in 2001,” Newton said.

With the launch of MIT Learn and Open Learning’s goal of reaching 1 billion learners in the next decade, that next chapter is already taking shape.

“The future of open learning is bright, and belongs to all of us,” Bertsimas said.

A startup making emergency housing cheaper and faster to deploy won this year’s MIT $100K Entrepreneurship Competition on May 12.

Uplift Microhome is building reusable, modular housing units to provide housing on demand to people affected by natural disasters and other emergencies. Each of the company’s homes has its own batteries and water reservoir, allowing them to quickly be transported and placed off-grid.

“Every year, millions of Americans are displaced by natural disasters,” said co-founder Charlie Nitschelm, who is in MIT’s Leaders for Global Operations program, earning a master’s in engineering and an MBA. “If they're lucky, they can stay with friends or family. If they’re not so lucky, they could end up in a homeless shelter. But disasters aren’t just two-week problems. It takes months, sometimes years, to get back to what life was like before. Bottom line: We lack dignified and affordable housing after disasters.”

Uplift Microhome was one of seven teams chosen to pitch at the final event, which took place inside a packed Kresge Auditorium. Each team got five minutes to pitch their startups before a few minutes of questioning from judges.

This year’s competition started in April with more than 80 applications. The program’s judges selected 16 teams to compete in the semifinal before whittling that number down to the finalist teams for Tuesday’s event.

“This competition isn’t just about one big night,” $100K managing director and MIT Sloan School of Management student Celine Christory said. “It’s a year-long journey for our organizers and students. It kicks off with the ‘Pitch’ event in December, moves to ‘Accelerate’ in March, and culminates in the ‘Launch’ event.”

In the pitch that won the $100,000 Danny Lewin Grand Prize, Nitschelm said it takes an average of four months for the U.S. Federal Emergency Management Agency (FEMA) to deploy single-use housing after a disaster. That’s because these homes require power and utilities in addition to extensive foundation preparation.

“As a result, less than 1 percent of survivors actually receive a physical home,” Nitschelm said. “The rest get a check and are told to go figure it out. This isn’t just our opinion. The Department of Homeland Security audited FEMA and recommended providing a cost-effective housing alternative that allows disaster survivors to stay close to their home.”

Uplift’s homes can be transported on the back of a tractor trailer and deployed using a standard forklift. In addition to its battery and water reservoir, the homes feature self-leveling bases that allow them to be deployed on uneven terrain.

“That dramatically simplifies delivery, installation, and deactivation to the point where you can economically recover, refurbish, and redeploy the unit,” says co-founder Trevor O’Leary, a student at Harvard Business School.

The company has already built a home and believes it can manufacture each unit at a cost similar to the cheapest tractor trailer while delivering housing in hours. The company expects the marginal cost of reusing each unit to be an order of magnitude less expensive than current solutions. Down the line, it plans to deploy homes to combat housing insecurity, for seasonal workers and during construction projects. It plans to manufacture its homes in the United States.

The second-place $50,000 David T. Morgenthaler Founder’s Prize was awarded to the startup Mohan, which is using generative artificial intelligence to map the Earth’s subsurface in three dimensions. The company is deploying its technology to help mining companies decide where to drill, starting by targeting copper deposits.

“Everyone is talking about AI and chips, but no one is talking about what they sit on: copper,” said co-founder Hongze Bo, a PhD student in MIT’s Department of Earth, Atmospheric and Planetary Sciences. “Every cable, GPU, and data center depends on copper. By 2030, we’re going to be 4 million tons of copper short. But we don't know where the next deposit is. Today we just drill and hope.”

The core of Mohan’s technology is a diffusion AI model that iteratively removes noise from subsurface data to create underground scans. The company also develops its own subsurface data.

“We built a full, 3D subsurface model using generative AI,” explained Bo. “It’s the same technology behind [image generation tools] Sora and Midjourney.”

The third place $5,000 prize went to Iceberg Systems, which is using autonomous AI agents to predict how risk cascades across the economy. The company invented a new class of AI systems at MIT that coordinates millions of AIs to simulate how risks emerge through interaction. It has been working with the Department of Energy.

“Iceberg simulates behaviors across millions of market participants, from brokers to consumers to institutions, to simulate and predict how shocks cascade through their interactions and create systemic risk in the economy,” says co-founder and MIT PhD student Ayush Chopra.

The $5,000 Audience Choice Prize went to Pixology, an agentic AI platform that creates on-brand, sponsor-ready sports content to help monetize live moments.

The other finalists that presented at this year’s event were:

• NeuralPhysics, which is building foundation physics models and agents for hardware design simulation and manufacturing;
• DesignFlownAI, a design intelligence app embedded in computer-aided design software to give engineers insights in real time; and
• Auto Lab, an autonomous AI platform that helps teams build better models faster. 

The $100K Entrepreneurship Competition is one of MIT’s annual flagship entrepreneurial events. It began more than 30 years ago when a group of students, along with the late Ed Roberts, who was the founder and chair of the Martin Trust Center for MIT Entrepreneurship, decided to start a startup pitch competition.

The prize started at $10,000 then grew to $50,000 before reaching today’s $100,000 grand prize. Past participants include HubSpot, Akamai, and Lightmatter.

In addition to the prizes, teams received mentorship from venture capitalists, serial entrepreneurs, corporate executives, and attorneys; funding for prototypes; business plan feedback; and more.

MIT graduate students are working with leaders from the Ukrainian city of Vinnytsia to explore strategies for economic development, infrastructure, and innovation during wartime conditions.

As part of the MIT Department of Urban Studies and Planning (DUSP) spring course 11.S941 (Innovating in Ukraine), DUSP hosted a delegation of five Ukrainian leaders from Vinnytsia, a city region of 400,000 people located approximately 280 kilometers from Kyiv in central Ukraine. The course, taught by professor of the practice Elisabeth Reynolds, is a practicum in which students work with a “client” for the semester on specific projects or issues the city would like to address and provide a final report or deliverable.

The city of Vinnytsia, which had two representatives on the trip, has focused on building out its “innovation ecosystem” across key parts of its economy. Amid the ongoing war with Russia, the country has accelerated its long-time expertise in information technology in both civilian and military contexts. Examples include the digitalization of government services, such that many services are accessible by cellphone through the e-governance app Diia, as well as the development of a rapidly evolving drone industry.

The 13 graduate students, who draw from the School of Architecture and Planning and the MIT Sloan School of Management, as well as Harvard University’s Kennedy School and Graduate School of Design, have worked with members of the city government and Vinnytsia National Technical University on a range of projects focused on the city’s future growth. The projects include developing an agro-food cluster to facilitate Ukraine’s integration into the European Union; transportation and logistics to support economic growth in the city and enhance its role as a regional hub; improving the city’s and country’s electronic waste management; and developing the city’s creative and entrepreneurial talent to retain and attract workers.

While in Cambridge for the week, the visitors and students toured a number of places and organizations that engage in innovation. A trip to Boston City Hall to meet with Kairos Shen, Boston’s chief city planner and a former professor of the practice at the MIT Center for Real Estate, highlighted the ways in which the built environment can facilitate activities and interactions to foster a more innovative city. Tours of the Cambridge Innovation Center in Kendall Square, Greentown Labs in Somerville, and MassChallenge in Boston provided examples of the myriad ways the region supports entrepreneurs through shared workspace, incubators, and network development.

“We are very interested in partnering with some of these organizations,” said Dmitry Sofyna, CEO and co-founder of WINSTARS.AI, an R&D center in Ukraine focused on AI applications. “We want to transform Ukraine from a major player in engineering and scientific outsourcing into a hub for creating large-scale tech companies in defense, medicine, and energy.” Vinnytsia is currently building Crystal Technology Park, one of the largest technology parks in Ukraine.

Usually during a practicum, students travel to the host location to spend a week during Independent Activities Period (IAP) or spring break learning about the city or region. In the case of the collaboration with Vinnytsia — an outgrowth of the MIT-Ukraine initiative and the Ukraine Community Recovery Academy, with which DUSP has been working for two years — the students are unable to travel to Ukraine due to the war. With the help of a generous alumnus, DUSP instead brought the Ukrainian delegation to Cambridge so that there could be in-person exchange between the students and the Vinnytsia partners.

“It’s been an amazing trip,” said Yanna Chaikovska, director of Vinnytsia’s Institute for Urban Development. “We are planning for the future because that is what we must do. Ukraine has faced many challenges in the past and always worked in small and big ways to move forward. MIT is helping us do this.”

Nick Durham, a joint DUSP/MIT Sloan master’s student, added: “I am continually inspired by the resilience of the Ukrainian people and how they are finding creative ways to build a better future. In many ways, Ukrainian innovation is serving as a model for reimagining industries and complex economic systems.”

The collaboration reflects a broader effort within DUSP to engage with cities facing complex economic and geopolitical challenges through applied, practice-based research. Hashim Sarkis, dean of the School of Architecture and Planning, spoke of this effort during a panel discussion with the Ukrainian visitors, noting that “with so much conflict in the world today, SA+P must create new ways to help cities rebuild, whether in Ukraine or elsewhere.” 

That there is tremendous potential for nanotechnology to transform cancer detection and treatment is a vision that has guided faculty at the Marble Center for Cancer Nanomedicine through its first 10 years. 

On April 9, the center gathered researchers, entrepreneurs, clinicians, industry collaborators, and members of the public at the Broad Institute of MIT and Harvard and the Koch Institute for Integrative Cancer Research galleries to celebrate a milestone anniversary and reflect on its journey.

“Our purpose has always been clear: to empower discovery and community in nanomedicine at MIT,” said Sangeeta Bhatia, faculty director at the Marble Center for Cancer Nanomedicine and the John J. and Dorothy Wilson Professor of Health Sciences and Technology and Electrical Engineering and Computer Science at MIT.

“A decade in, we are seeing that vision materialize not just in publications, but in our community, our startups, and ultimately, in patients whose lives are being changed,” Bhatia told an audience of about 150 gathered in person for the celebration.

The event featured an overview of the Marble Center by Bhatia and a perspective on nanomedicine by Robert S. Langer, the David H. Koch (1962) Institute Professor and faculty member at the Marble Center. 

A panel on translational nanomedicine followed the talks. It was moderated by Susan Hockfield, president emerita and professor of neuroscience at MIT, and included Noor Jailkhani, former MIT postdoc in the laboratory of the late MIT professor of biology Richard Hynes and CEO, co-founder and president of Matrisome Bio; Peter DeMuth ’13, chief scientific officer at Elicio Therapeutics; Vadim Dudkin, founding chief technology officer at Soufflé Therapeutics; and Viktor Adalsteinsson ’15, co-founder of Amplifyer Bio and director of the Gerstner Center for Cancer Diagnostics at the Broad Institute.

A decade of impact in nanomedicine

Established in 2016 through a generous gift from Kathy and Curt Marble ’63, the Marble Center brings together leading Koch Institute faculty members and their teams to focus on grand challenges in cancer detection, treatment, and monitoring through miniaturization and convergence — the blending of the life and physical sciences with engineering, a core concept fueling multidisciplinary research at the Koch Institute. 

At the center’s founding, Bhatia and Langer were joined by five additional faculty members: Daniel G. Anderson, professor of chemical engineering and member of the Institute for Medical Engineering and Science; Angela M. Belcher, the James Mason Crafts Professor in the departments of Biological Engineering and Materials Science and Engineering; Michael Birnbaum, professor of biological engineering; Paula T. Hammond, Institute professor and dean of the School of Engineering; and Darrell J. Irvine, who is now professor and vice-chair at the Department of Immunology and Microbiology at the Scripps Research Institute in La Jolla, California.

“Over the past decade, the center and its member laboratories have trained close to 500 researchers. Among them, 109 have become faculty in 79 clinical and research universities. We also have worked in close collaboration with clinical and industry partners to produce the results you are seeing today,” said Tarek Fadel, associate director of the Marble Center and director of strategic alliance at the Koch Institute. 

“Twenty-three startup companies have emerged from Marble Center laboratories during that time with companies such as Cision Vision, Soufflé Therapeutics, Orna Therapeutics, Matrisome Bio, Amplifyer Bio, Gensaic, among several others that hold so much promise for the early detection of disease and drug delivery,” Fadel added.

The Marble Center has launched several topical programs aimed at trainee development and industry engagement. At monthly seminars, trainees at the Marble Center lead an open forum on emerging issues in their fields. The Convergence Scholars Program, which was originally launched in 2017 to further the development of postdocs beyond the laboratory bench, is now a competitive award program offered to postdocs at the Koch Institute. Through an industry affiliate program, the center worked closely with several key players in the field of nanoscience. Industry collaborators mentor trainees and participate as judges in an annual poster symposium. 

More recently, MIT-wide grants have catalyzed new collaborations: In 2023, the Global Oncology in Nanomedicine grant supported a project on leveraging AI-based approaches to speed the development of RNA vaccines and other RNA therapies. The project was led by Giovanni Traverso, the Karl Van Tassel (1925) Career Development Professor and a professor of mechanical engineering.

From lab to clinic: Lessons in nanomedicine translation

Panelists at the anniversary event shared candid reflections on the often messy, but exhilarating process of turning their ideas into commercial technologies. 

DeMuth described how Elicio Therapeutics, whose core technologies originated from his graduate research in Irvine’s group, harnesses the natural power of the lymph nodes to generate enhanced immune responses against tumors. The amphiphile platform uses the body’s natural albumin transport system to “shuttle” medicines into the lymph nodes, boosting immune cell activation. Elicio is now advancing their platform through a Phase 2 trial in pancreatic ductal adenocarcinoma and colorectal cancer.  

Jailkhani co-founded Matrisome Bio with Bhatia and Hynes. Matrisome Bio is pioneering a new class of therapies, small protein binders called nanobodies that deliver potent payloads directly to the extracellular matrix of tumors and metastases while sparing normal tissues. Matrisome Bio is currently testing radioligand modalities with their targeting platform for the treatment of cancer. 

Adalsteinsson co-founded Amplifyer Bio with Bhatia and J. Christopher Love, the Raymond A. (1921) and Helen E. St. Laurent Professor of Chemical Engineering and associate director of the Koch Institute, with the goal of developing priming agents for liquid biopsy. Priming agents injected before a blood draw transiently slow the clearance of cell-free DNA from the bloodstream, thus allowing up to 100-fold more tumor DNA to be recovered for liquid biopsy applications. While injection for medical diagnostics has been done for decades in the context of imaging scans, Amplifyer Bio’s approach would be the first of its kind in the field of liquid biopsy.

Dudkin described Soufflé Therapeutics’ vision to enable targeted delivery with receptor-mediated uptake to any type of cell in the human body. Soufflé Therapeutics is working to engineer cell-specific ligands to deliver siRNA-based medicines that are precise and transferred across the cell membrane to their target, by combining proprietary technologies for identification of cell-specific receptors, ligand optimization, and potent siRNA engineering. 

Panelists stressed that successful translation requires complex choices. While platform technologies can theoretically address many cancer problems, startups must focus on specific indications and clinical modalities to succeed in resource-limited, commercial settings. While the academic lab offers freedom to explore multiple applications, commercialization demands strategic narrowing of scope. 

Reproducibility during scale-up emerged as another critical consideration: Founders building platform companies must demonstrate not only that their technology works, but that their underlying discovery is reproducible and robust enough to support a business. All panelists agreed that thinking about manufacturability early in research, rather than as an afterthought, significantly improves a startup’s path to the clinic. Highlighting tension between selecting cutting-edge approaches and managing their inherent regulatory risks, they recommended minimizing risk by leveraging established processes and chemistries that have already been validated in approved drugs.

Finally, panelists highlighted the importance of institutional collaborations, particularly with centers like the Marble Center for Cancer Nanomedicine. These partnerships offer access to collaborative, mission-driven researchers who can push technological boundaries, while startups maintain focus on narrow clinical applications. Panelists emphasized that faculty collaborators, such as at the Marble Center, often provide “big sky thinking” that explores new directions and applications that complement the company’s core mission.

The next chapter in nanomedicine at MIT

As the Marble Center enters its second decade, the community is focused on expanding collaborations, leveraging advances in computation and other intersecting disciplines, and exploring new disease indications. 

“The next 10 years will be defined by our ability to leverage insights gained at the nanoscale to push the boundaries of precision medicine. The Marble Center is in a unique position to do just that, as we evolve this incredible community at MIT to be a global hub for nanomedicine research,” said Bhatia. 

Bhatia also announced that in June, the Marble Center will launch a new grant, Integrated Nanoscale Sensing, Imaging, and Health Technologies (INSIHT), aimed at advancing new imaging and sensing technologies for precision medicine. 

Similarly, panelists expressed optimism about nanomedicine’s transformative potential, centered on precision medicine. The field, they argued, will focus on minimizing side effects while opening previously unavailable therapeutic windows — enabling treatments that are fundamentally more targeted and effective. This precision could render many currently untreatable diseases manageable, or even curable, while also enabling in some cases the repurposing of drugs that failed in earlier clinical contexts. 

“Ten years ago, Sangeeta, Tyler Jacks, and the Marble Center community had a vision” said Matthew Vander Heiden, director of the Koch Institute and Lester Wolfe (1919) Professor of Molecular Biology. 

“Today, that vision is creating a place where bold ideas turn into transformative advances that can help cancer patients and non-cancer patients as well. It is exciting to see this momentum in nanomedicine at MIT and what will happen in the coming decade.” 

One day after the announcement of a ceasefire between the United States and Iran, the head of the International Energy Agency (IEA) outlined the implications of the war in the Middle East on the global energy system and the world’s economy, offering his expertise to an MIT audience.

“This is the largest energy crisis we’ve ever had in the world,” Fatih Birol, the executive director of the IEA, said at the MIT Energy Initiative’s (MITEI) Earth Day Colloquium on April 8. Birol put the current disruption of the world’s energy markets into historical perspective, shared what he believes will be the long-term impacts of this war — even in the best-case scenario where the ceasefire paves a path toward peace — and emphasized the need to create a more sustainable, resilient system moving forward.

In 1973, and again in 1979, there were oil crises that led the world economy into recession, with many countries — especially those with developing economies — spiraling into debt. More recently, Russia’s invasion of Ukraine led to a natural gas crisis. “The current crisis, the amounts of oil and gas we’ve lost, is bigger than all those three put together,” Birol stated. According to data received two hours before the seminar, Birol confirmed that 80 energy facilities in the Middle East had been damaged, with over one-third of those having been severely damaged.

The IEA has played a significant role in the global response to the war. “Our job is to have a real-world impact,” said Birol. Earlier in the conflict, after making clear to policymakers and members of the press the scale of the problem at hand, the IEA turned to its member countries — which are required to have significant oil stock reserves — to bring their reserves to the market. “Since the disruption was so big, we brought all the countries together, which is not easy,” Birol said. “We released 400 million barrels of oil, which is the highest we have ever done. This calmed markets and put downward pressure on prices.” The IEA also released a suite of recommendations for conserving oil quickly, many of which countries around the world are already implementing, said Birol.

The implications of this crisis are far-reaching, and will vary in severity depending on how long the war lasts and how quickly normal operations resume afterwards — which could take some time, considering the extent of the damage to the Middle East’s energy infrastructure, Birol said.

Birol explained the more immediate impacts of the war on the gas industry. Although the natural gas industry has presented itself as a reliable, affordable, and flexible energy source, Birol highlighted that the two major gas crises in the last four years have brought that assertion into question.

“Is [natural gas] still reliable? Is it still flexible? Is it still affordable? After these two big crises, the natural gas industry needs to work hard to regain its brand,” he said.

Birol also outlined three potential outcomes that this shift may bring to the renewable energy sector. First, there is historical precedent for building up nuclear power plants in response to the oil crises of the 1970s. “Around 45 percent of nuclear power plants operating today were built as a response to those crises,” said Birol. He believes there will be another large push for nuclear power, including small nuclear reactors.

Second, renewables may be the biggest beneficiaries of this situation, he said. “In Europe, after Russia’s invasion of Ukraine, the renewable annual installations increased by a factor of three,” he said.

Third, especially in Asia, we will likely see an increase in the market penetration of electric vehicles, Birol said. This is especially important to note because Asia is the center of current oil demand growth, but the adoption of more electric vehicles could have an impact on that, he suggested. Previous crises have also led to car manufacturers improving the fuel efficiency of their cars.

“The energy security premium will be a factor of the energy trade in the future, in addition to the cost of energy,” said Birol, speaking to the longer-term effects on the global energy market. “Countries will be more careful now with whom they are trading.”

Addressing the current crisis also necessitates changes to our energy system going forward, according to Birol. He explained that the entire global economy is being held hostage by the 50 kilometers of the Strait of Hormuz, which is a critical path not only for oil and gas shipments, but for materials used to make fertilizer, which are needed to feed the world’s population, and materials such as helium, which are needed to manufacture products like cell phones.

“I'm afraid that after this is finished, some of the countries will come back faster because they have stronger financial muscles, better engineering capabilities, and better technologies, whereas other countries will suffer,” he said. “It will be, in my view, not easy for the global economy. I believe who will be suffering under this economic damage will be mainly developing countries.”

The burden on developing countries will not only come in the form of energy prices, but also lasting impacts on fertilizer consumption, food security, and food prices, which Birol emphasized is a global problem. “What should be the response to have a more secure, but also more sustainable, future for everybody?” he asked.

Birol suggested the best possible outcome to the current global energy and economic disruption would be if the ceasefire leads to a peaceful settlement of the war. Still, this “best possible outcome” includes significant risk for much of the world.

If there is a settlement of peace, Birol said he expects oil and the gas production in the region to restart. He noted that there are about 200 fully laden oil tankers and 15 loaded liquid natural gas ships that could leave the Gulf fairly quickly if the Strait of Hormuz fully reopens.

“But I don’t think that in a very short period of time we will go back where we were before the war,” Birol said. “And this may keep the prices at elevated levels. This is surely not good news, especially in the emerging world. I would be surprised if we don’t see significant inflationary pressures in Asian developing countries, in Africa, and in Latin America,” Birol said. “In addition to that, the petrochemical industry, fertilizers, we will discover how important those commodities are for the supply chains we have … I expect a bit of volatility in the markets.”

This speaker series highlights energy experts and leaders at the forefront of the scientific, technological, and policy solutions needed to transform our energy systems. Visit the MIT Energy Initiative’s events page for more information on this and additional events. The series will return this fall.

MIT master’s student Sunshine Jiang ’25 and Rupert Li ’24 are recipients of this year’s Knight-Hennessy Scholarship. Now in its ninth year, the highly competitive scholarship provides up to three years of financial support for graduate studies at Stanford University. 

Sunshine Jiang  ’25

Sunshine Jiang, from Hangzhou, China, graduated from MIT in 2025 with a bachelor’s degree as a double major in physics and electrical engineering and computer science, along with minors in mathematics and economics. She will receive her master of engineering degree this month and will start her PhD in computer science at Stanford School of Engineering this fall. 

Jiang researches embodied artificial intelligence and robotics, developing data-efficient, adaptive systems for general-purpose robots that broaden accessibility. She has presented her research at major conferences, including the Conference on Robot Learning, the International Conference on Robotics and Automation, and the International Conference on Learning Representations. 

Jiang led the development of AI-powered systems that provide access to traditional Chinese art in rural classrooms, founded cross-country programs that expand girls’ access to STEM education, and created a Covid-19 documentary amplifying community voices, which was featured on China Daily.

Rupert Li ’24

Rupert Li, from Portland, Oregon, is currently pursuing a PhD in mathematics at Stanford School of Humanities and Sciences. He graduated from MIT in 2024 with a bachelor’s degree, double majoring in mathematics and computer science, economics, and data science. Along with his bachelor’s degree, he also received a master’s degree in data science. Li then traveled to the United Kingdom as a Marshall Scholar, where he earned a master’s degree in mathematics from the University of Cambridge.

Li’s research interests lie in probability, discrete geometry, and combinatorics. He enjoys serving as a mentor for MIT PRIMES-USA, a high school math research program, and previously served as an advisor for the Duluth REU, an undergraduate math research program. In addition to the Knight-Hennessy Scholarship and the Marshall Scholarship, he has been awarded the Hertz Fellowship, P.D. Soros Fellowship, and the Goldwater Scholarship, and he received honorable mention for the Frank and Brennie Morgan Prize.

MIT class 2.72/2.270 (Elements of Mechanical Design) offers undergraduate and graduate students advanced study of modeling, design, and integration, along with best practices for use of machine elements like bearings, bolts, belts, flexures, and gears.

“[Students] learn how to use basically everything from the MechE undergraduate curriculum to build hardcore advanced machines,” says Martin Culpepper, the Ralph E. and Eloise F. Cross Professor in Manufacturing and professor of mechanical engineering (MechE) at MIT.

The course employs modeling and analysis exercises based on rigorous application of physics, mathematics, and core mechanical engineering principles, which are then reinforced through lab experiences and a mechanical system design project.

Culpepper, known to students and colleagues as Marty, says one of his main goals in the course is to “make students into stronger engineers.” His methods involve a mix of teaching and coaching techniques that push students to explore the bounds of what’s possible. 

“Marty likes to say that ‘as long as something doesn't break the laws of physics, it’s possible. You just have to figure out how to engineer it,’” says Yasin Hamed, a teaching assistant for the course.

For the system design projects, students build a lathe that can meet repeatability, accuracy, and functional requirements, and that can also “pass ‘Marty’s death test,’” says MechE graduate student Sarah Stoops. “What that means practically,” explains fellow graduate student Amber Velez, “is, at the end of class, Marty takes all our lathes and drops them and hits them with a hammer, and if they explode, you don’t pass the class.”

This final test may seem harsh, but it is an important part of the process and helps build to additional, critical skills: resilience and perseverance.

“The students are very resilient. They learn to persevere and take some time to try and figure things out, and through that process … you learn so much,” says Hannah Gazdus, a teaching assistant for the course.

Before the so-called “death test,” students tackle two other challenges: precision and material removal. “All of our lathes are required to cut to within 50 microns of precision,” explains Velez. In the material removal rate competition, teams compete to see who can turn down a piece of stock by one inch the fastest. Velez’s team completed the later task in approximately 27 seconds.

“The core classes are important — things like mechanics, materials, dynamics, controls — but many of them have a degree of abstraction that separates the content within those courses from the mechanical elements that you use in designing an actual machine,” says Hamed. “I feel like this class serves very well to bridge that [and] inspire that confidence as working engineers.”

When Akorfa Dagadu arrived at MIT, she had a solution in mind: a mobile app to improve recycling and environmental engagement in her home country of Ghana. The project, called Ishara, aimed to make it easier for people to participate in local recycling systems while creating economic opportunities.

“I grew up in what people often call the trash capital of Accra,” she recalls. “I thought I knew what would fix it. So [my Ishara co-founders and I] built a solution — an app — behind some desk in a library … We did what I thought was market research, but looking back, we were basically asking people what they thought about our idea instead of asking how things actually worked … Implementation humbled us very quickly.”

On the ground, Dagadu encountered a reality very different than she anticipated.

“Informal networks of waste pickers and aggregators were already doing the work,” she explains. They’d developed a system that was already working, but it was “invisible, undervalued, and excluded from larger recycling conversations.” 

From technical solutions to systems change 

Soon after arriving at MIT, Dagadu discovered the PKG Center for Social Impact as a place that could help her pivot, taking a step back from her technical solution to understand the systemic context of the problem she was trying to solve.

As a first-year student, Dagadu received a PKG Fellowship, which provides funding and mentorship for students to pursue community-engaged research and development. This early support positioned Dagadu to apply to PKG’s IDEAS Social Innovation Incubator to further refine her social enterprise, Ishara. Dagadu was one of few first-year students selected for IDEAS among an applicant pool dominated by MBA and other graduate students. 

“At MIT, there are a lot of opportunities focused on entrepreneurship. But not as many that emphasize how you can do something for the environment or your community,” says Dagadu. IDEAS trains technical founders in systems change for social impact and community-engaged innovation.

Dagadu obtained another PKG Fellowship to iterate on Ishara the following summer, and was accepted to the IDEAS incubator a second time. Eventually, she refined her app from a technical solution the community didn’t need to one that connects existing recycling networks to the broader value chain, in ways that are transparent and fair, using a blockchain-enabled buyback center. 

“The biggest thing PKG has given me is a way of thinking,” Dagadu explains. “The systems thinking mindset really stays with you. You start to see everything as connected. Technical solutions are not just technical; they have social and economic implications. I find myself applying that in all my classes. Whether I am designing a reactor system or working through a materials problem, I am always asking how this fits into the larger system and who it affects.” 

Community-engaged chemical engineering

Dagadu says that “PKG has shaped both how I do research and how I think about it.” She grew to understand the importance of research grounded in local partnerships, and points to her collaboration with Chanja Datti, a recycling company in Nigeria, as a prime example. 

“That collaboration has directly informed my research,” says Dagadu. “What started as a PKG-supported exploration has now grown into a full undergraduate-led research project at MIT, supported by D-Lab, focused on one of the hardest questions in recycling: what to do with multilayer plastic waste.”

“This is where my chemical engineering and materials background comes in,” explains Dagadu, who studies how random heteropolymers can stabilize enzymes for plastic degradation through the Alexander-Katz Lab. “Thinking about polymer structure, processing, and what is actually feasible,” is critical to her work on the ground. “But it is also shaped by everything PKG emphasizes. You cannot separate the material from the system it lives in.”

Dagadu also appreciates the personal community she’s developed through her journey at MIT, especially as her venture evolved and her co-founders stepped away. “I went from being part of a strong team of three to building Ishara largely on my own,” she recalls. “That’s when I understood what people mean by entrepreneurship being lonely. The doubt, the weight of decisions — it became very real, very quickly.”

She drew on relationships developed through PKG and the Kuo Sharper Center for Prosperity and Entrepreneurship, where Dagadu is a student fellow, to ground her and remind her of her personal mission. “It’s not just about having a team,” she realized. “It’s about having a community that can hold you through the moments when things fall apart.” 

The PKG Center’s assistant dean, Alison Hynd, who supported Dagadu through multiple PKG Fellowships, sees Dagadu’s ability to create community as a tremendous asset: “As a first-year student, she came through the door with an intellectual vision and drive to do this work, but at MIT, she’s found her voice to pull other people into it.”

Same question, different scale

Next year, Dagadu will broaden her community still more, as a Schwarzman Scholar at Tsinghua University in Beijing. While the context of her studies will change, her motivation remains the same as when she entered MIT.

“I want to keep asking the same question that’s shaped so much of my work so far,” she says, “not just how we design better materials, but how we design systems where those materials can actually work. That means zooming out and exploring the policy and economics of material flow.” 

Through Ishara, Dagadu’s social enterprise, she’s seen how systems intersect and function on the ground in the case of recycling in Ghana. “Now, I want to understand forces at a much larger scale,” she says, “and I can’t think of a better place to explore this question than in China, the manufacturing hub of the world.”