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    Celebrating the people behind Kendall Square’s innovation ecosystem

    While it’s easy to be amazed by the constant drumbeat of innovations coming from Kendall Square in Cambridge, Massachusetts, sometimes overlooked are the dedicated individuals working to make those scientific and technological breakthroughs a reality. Every day, people in the neighborhood tackle previously intractable problems and push the frontiers of their fields.This year’s Kendall Square Association (KSA) Annual Meeting centered around celebrating the people behind the area’s prolific innovation ecosystem. That included a new slate of awards and recognitions for community members and a panel discussion featuring MIT President Sally Kornbluth.“It’s truly inspiring to be surrounded by all of you: people who seem to share an exuberant curiosity, a pervasive ethic of service, and the baseline expectation that we’re all interested in impact — in making a difference for people and the planet,” Kornbluth said.The gathering took place in MIT’s Walker Memorial (Building 50) on Memorial Drive and attracted entrepreneurs, life science workers, local students, restaurant and retail shop owners, and leaders of nonprofits.The KSA itself is a nonprofit organization made up of over 150 organizations across the greater Kendall Square region, from large companies to universities like MIT and Harvard, along with the independent shops and restaurants that give Kendall Square its distinct character.New to this year’s event were two Founder Awards, which were given to Sangeeta Bhatia, the the John and Dorothy Wilson Professor of Health Sciences and Technology and of Electrical Engineering and Computer Science at MIT, and Michal Preminger, head of Johnson and Johnson Innovation, for their work bringing people together to achieve hard things that benefit humanity.The KSA will donate $2,500 to the Science Club for Girls in Bhatia’s honor and $2,500 to Innovators for Purpose in honor of Preminger.Recognition was also given to Alex Cheung of the Cambridge Innovation Center and Shazia Mir of LabCentral for their work bringing Kendall Square’s community members together.Cambridge Mayor Denise Simmons also spoke at the event, noting the vital role the Kendall Square community has played in things like Covid-19 vaccine development and in the fight against climate change.“As many of you know, Cambridge has a long and proud history of innovation, with the presence of MIT and the remarkable growth of the tech and life science industry examples of that,” Simmons said. “We are leaving a lasting, positive impact in our city. This community has made and continues to make enormous contributions, not just to our city but to the world.”In her talk, Kornbluth also introduced the Kendall Square community to her plans for The Climate Project at MIT, which is designed to focus the Institute’s talent and resources to achieve real-world impact on climate change faster. The project will provide funding and catalyze partnerships around six climate “missions,” or broad areas where MIT researchers will seek to identify gaps in the global climate response that MIT can help fill.“The Climate Project is a whole-of-MIT mobilization that’s mission driven, solution focused, and outward looking,” Kornbluth explained. “If you want to make progress, faster and at scale, that’s the way!”After mingling with Kendall community members, Kornbluth said she still considers herself a newbie to the area but is coming to see the success of Kendall Square and MIT as more than a coincidence.“The more time I spend here, the more I come to understand the incredible synergies between MIT and Kendall Square,” Kornbluth said. “We know, for example, that proximity is an essential ingredient in our collective and distinctive recipe for impact. That proximity, and the cross-fertilization that comes with it, helps us churn out new technologies and patents, found startups, and course-correct our work as we try to keep pace with the world’s challenges. We can’t do any of this separately. Our work together — all of us in this thriving, wildly entrepreneurial community — is what drives the success of our innovation ecosystem.” More

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    Translating MIT research into real-world results

    Inventive solutions to some of the world’s most critical problems are being discovered in labs, classrooms, and centers across MIT every day. Many of these solutions move from the lab to the commercial world with the help of over 85 Institute resources that comprise MIT’s robust innovation and entrepreneurship (I&E) ecosystem. The Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) draws on MIT’s wealth of I&E knowledge and experience to help researchers commercialize their breakthrough technologies through the J-WAFS Solutions grant program. By collaborating with I&E programs on campus, J-WAFS prepares MIT researchers for the commercial world, where their novel innovations aim to improve productivity, accessibility, and sustainability of water and food systems, creating economic, environmental, and societal benefits along the way.The J-WAFS Solutions program launched in 2015 with support from Community Jameel, an international organization that advances science and learning for communities to thrive. Since 2015, J-WAFS Solutions has supported 19 projects with one-year grants of up to $150,000, with some projects receiving renewal grants for a second year of support. Solutions projects all address challenges related to water or food. Modeled after the esteemed grant program of MIT’s Deshpande Center for Technological Innovation, and initially administered by Deshpande Center staff, the J-WAFS Solutions program follows a similar approach by supporting projects that have already completed the basic research and proof-of-concept phases. With technologies that are one to three years away from commercialization, grantees work on identifying their potential markets and learn to focus on how their technology can meet the needs of future customers.“Ingenuity thrives at MIT, driving inventions that can be translated into real-world applications for widespread adoption, implantation, and use,” says J-WAFS Director Professor John H. Lienhard V. “But successful commercialization of MIT technology requires engineers to focus on many challenges beyond making the technology work. MIT’s I&E network offers a variety of programs that help researchers develop technology readiness, investigate markets, conduct customer discovery, and initiate product design and development,” Lienhard adds. “With this strong I&E framework, many J-WAFS Solutions teams have established startup companies by the completion of the grant. J-WAFS-supported technologies have had powerful, positive effects on human welfare. Together, the J-WAFS Solutions program and MIT’s I&E ecosystem demonstrate how academic research can evolve into business innovations that make a better world,” Lienhard says.Creating I&E collaborationsIn addition to support for furthering research, J-WAFS Solutions grants allow faculty, students, postdocs, and research staff to learn the fundamentals of how to transform their work into commercial products and companies. As part of the grant requirements, researchers must interact with mentors through MIT Venture Mentoring Service (VMS). VMS connects MIT entrepreneurs with teams of carefully selected professionals who provide free and confidential mentorship, guidance, and other services to help advance ideas into for-profit, for-benefit, or nonprofit ventures. Since 2000, VMS has mentored over 4,600 MIT entrepreneurs across all industries, through a dynamic and accomplished group of nearly 200 mentors who volunteer their time so that others may succeed. The mentors provide impartial and unbiased advice to members of the MIT community, including MIT alumni in the Boston area. J-WAFS Solutions teams have been guided by 21 mentors from numerous companies and nonprofits. Mentors often attend project events and progress meetings throughout the grant period.“Working with VMS has provided me and my organization with a valuable sounding board for a range of topics, big and small,” says Eric Verploegen PhD ’08, former research engineer in MIT’s D-Lab and founder of J-WAFS spinout CoolVeg. Along with professors Leon Glicksman and Daniel Frey, Verploegen received a J-WAFS Solutions grant in 2021 to commercialize cold-storage chambers that use evaporative cooling to help farmers preserve fruits and vegetables in rural off-grid communities. Verploegen started CoolVeg in 2022 to increase access and adoption of open-source, evaporative cooling technologies through collaborations with businesses, research institutions, nongovernmental organizations, and government agencies. “Working as a solo founder at my nonprofit venture, it is always great to have avenues to get feedback on communications approaches, overall strategy, and operational issues that my mentors have experience with,” Verploegen says. Three years after the initial Solutions grant, one of the VMS mentors assigned to the evaporative cooling team still acts as a mentor to Verploegen today.Another Solutions grant requirement is for teams to participate in the Spark program — a free, three-week course that provides an entry point for researchers to explore the potential value of their innovation. Spark is part of the National Science Foundation’s (NSF) Innovation Corps (I-Corps), which is an “immersive, entrepreneurial training program that facilitates the transformation of invention to impact.” In 2018, MIT received an award from the NSF, establishing the New England Regional Innovation Corps Node (NE I-Corps) to deliver I-Corps training to participants across New England. Trainings are open to researchers, engineers, scientists, and others who want to engage in a customer discovery process for their technology. Offered regularly throughout the year, the Spark course helps participants identify markets and explore customer needs in order to understand how their technologies can be positioned competitively in their target markets. They learn to assess barriers to adoption, as well as potential regulatory issues or other challenges to commercialization. NE-I-Corps reports that since its start, over 1,200 researchers from MIT have completed the program and have gone on to launch 175 ventures, raising over $3.3 billion in funding from grants and investors, and creating over 1,800 jobs.Constantinos Katsimpouras, a research scientist in the Department of Chemical Engineering, went through the NE I-Corps Spark program to better understand the customer base for a technology he developed with professors Gregory Stephanopoulos and Anthony Sinskey. The group received a J-WAFS Solutions grant in 2021 for their microbial platform that converts food waste from the dairy industry into valuable products. “As a scientist with no prior experience in entrepreneurship, the program introduced me to important concepts and tools for conducting customer interviews and adopting a new mindset,” notes Katsimpouras. “Most importantly, it encouraged me to get out of the building and engage in interviews with potential customers and stakeholders, providing me with invaluable insights and a deeper understanding of my industry,” he adds. These interviews also helped connect the team with companies willing to provide resources to test and improve their technology — a critical step to the scale-up of any lab invention.In the case of Professor Cem Tasan’s research group in the Department of Materials Science and Engineering, the I-Corps program led them to the J-WAFS Solutions grant, instead of the other way around. Tasan is currently working with postdoc Onur Guvenc on a J-WAFS Solutions project to manufacture formable sheet metal by consolidating steel scrap without melting, thereby reducing water use compared to traditional steel processing. Before applying for the Solutions grant, Guvenc took part in NE I-Corps. Like Katsimpouras, Guvenc benefited from the interaction with industry. “This program required me to step out of the lab and engage with potential customers, allowing me to learn about their immediate challenges and test my initial assumptions about the market,” Guvenc recalls. “My interviews with industry professionals also made me aware of the connection between water consumption and steelmaking processes, which ultimately led to the J-WAFS 2023 Solutions Grant,” says Guvenc.After completing the Spark program, participants may be eligible to apply for the Fusion program, which provides microgrants of up to $1,500 to conduct further customer discovery. The Fusion program is self-paced, requiring teams to conduct 12 additional customer interviews and craft a final presentation summarizing their key learnings. Professor Patrick Doyle’s J-WAFS Solutions team completed the Spark and Fusion programs at MIT. Most recently, their team was accepted to join the NSF I-Corps National program with a $50,000 award. The intensive program requires teams to complete an additional 100 customer discovery interviews over seven weeks. Located in the Department of Chemical Engineering, the Doyle lab is working on a sustainable microparticle hydrogel system to rapidly remove micropollutants from water. The team’s focus has expanded to higher value purifications in amino acid and biopharmaceutical manufacturing applications. Devashish Gokhale PhD ’24 worked with Doyle on much of the underlying science.“Our platform technology could potentially be used for selective separations in very diverse market segments, ranging from individual consumers to large industries and government bodies with varied use-cases,” Gokhale explains. He goes on to say, “The I-Corps Spark program added significant value by providing me with an effective framework to approach this problem … I was assigned a mentor who provided critical feedback, teaching me how to formulate effective questions and identify promising opportunities.” Gokhale says that by the end of Spark, the team was able to identify the best target markets for their products. He also says that the program provided valuable seminars on topics like intellectual property, which was helpful in subsequent discussions the team had with MIT’s Technology Licensing Office.Another member of Doyle’s team, Arjav Shah, a recent PhD from MIT’s Department of Chemical Engineering and a current MBA candidate at the MIT Sloan School of Management, is spearheading the team’s commercialization plans. Shah attended Fusion last fall and hopes to lead efforts to incorporate a startup company called hydroGel.  “I admire the hypothesis-driven approach of the I-Corps program,” says Shah. “It has enabled us to identify our customers’ biggest pain points, which will hopefully lead us to finding a product-market fit.” He adds “based on our learnings from the program, we have been able to pivot to impact-driven, higher-value applications in the food processing and biopharmaceutical industries.” Postdoc Luca Mazzaferro will lead the technical team at hydroGel alongside Shah.In a different project, Qinmin Zheng, a postdoc in the Department of Civil and Environmental Engineering, is working with Professor Andrew Whittle and Lecturer Fábio Duarte. Zheng plans to take the Fusion course this fall to advance their J-WAFS Solutions project that aims to commercialize a novel sensor to quantify the relative abundance of major algal species and provide early detection of harmful algal blooms. After completing Spark, Zheng says he’s “excited to participate in the Fusion program, and potentially the National I-Corps program, to further explore market opportunities and minimize risks in our future product development.”Economic and societal benefitsCommercializing technologies developed at MIT is one of the ways J-WAFS helps ensure that MIT research advances will have real-world impacts in water and food systems. Since its inception, the J-WAFS Solutions program has awarded 28 grants (including renewals), which have supported 19 projects that address a wide range of global water and food challenges. The program has distributed over $4 million to 24 professors, 11 research staff, 15 postdocs, and 30 students across MIT. Nearly half of all J-WAFS Solutions projects have resulted in spinout companies or commercialized products, including eight companies to date plus two open-source technologies.Nona Technologies is an example of a J-WAFS spinout that is helping the world by developing new approaches to produce freshwater for drinking. Desalination — the process of removing salts from seawater — typically requires a large-scale technology called reverse osmosis. But Nona created a desalination device that can work in remote off-grid locations. By separating salt and bacteria from water using electric current through a process called ion concentration polarization (ICP), their technology also reduces overall energy consumption. The novel method was developed by Jongyoon Han, professor of electrical engineering and biological engineering, and research scientist Junghyo Yoon. Along with Bruce Crawford, a Sloan MBA alum, Han and Yoon created Nona Technologies to bring their lightweight, energy-efficient desalination technology to the market.“My feeling early on was that once you have technology, commercialization will take care of itself,” admits Crawford. The team completed both the Spark and Fusion programs and quickly realized that much more work would be required. “Even in our first 24 interviews, we learned that the two first markets we envisioned would not be viable in the near term, and we also got our first hints at the beachhead we ultimately selected,” says Crawford. Nona Technologies has since won MIT’s $100K Entrepreneurship Competition, received media attention from outlets like Newsweek and Fortune, and hired a team that continues to further the technology for deployment in resource-limited areas where clean drinking water may be scarce. Food-borne diseases sicken millions of people worldwide each year, but J-WAFS researchers are addressing this issue by integrating molecular engineering, nanotechnology, and artificial intelligence to revolutionize food pathogen testing. Professors Tim Swager and Alexander Klibanov, of the Department of Chemistry, were awarded one of the first J-WAFS Solutions grants for their sensor that targets food safety pathogens. The sensor uses specialized droplets that behave like a dynamic lens, changing in the presence of target bacteria in order to detect dangerous bacterial contamination in food. In 2018, Swager launched Xibus Systems Inc. to bring the sensor to market and advance food safety for greater public health, sustainability, and economic security.“Our involvement with the J-WAFS Solutions Program has been vital,” says Swager. “It has provided us with a bridge between the academic world and the business world and allowed us to perform more detailed work to create a usable application,” he adds. In 2022, Xibus developed a product called XiSafe, which enables the detection of contaminants like salmonella and listeria faster and with higher sensitivity than other food testing products. The innovation could save food processors billions of dollars worldwide and prevent thousands of food-borne fatalities annually.J-WAFS Solutions companies have raised nearly $66 million in venture capital and other funding. Just this past June, J-WAFS spinout SiTration announced that it raised an $11.8 million seed round. Jeffrey Grossman, a professor in MIT’s Department of Materials Science and Engineering, was another early J-WAFS Solutions grantee for his work on low-cost energy-efficient filters for desalination. The project enabled the development of nanoporous membranes and resulted in two spinout companies, Via Separations and SiTration. SiTration was co-founded by Brendan Smith PhD ’18, who was a part of the original J-WAFS team. Smith is CEO of the company and has overseen the advancement of the membrane technology, which has gone on to reduce cost and resource consumption in industrial wastewater treatment, advanced manufacturing, and resource extraction of materials such as lithium, cobalt, and nickel from recycled electric vehicle batteries. The company also recently announced that it is working with the mining company Rio Tinto to handle harmful wastewater generated at mines.But it’s not just J-WAFS spinout companies that are producing real-world results. Products like the ECC Vial — a portable, low-cost method for E. coli detection in water — have been brought to the market and helped thousands of people. The test kit was developed by MIT D-Lab Lecturer Susan Murcott and Professor Jeffrey Ravel of the MIT History Section. The duo received a J-WAFS Solutions grant in 2018 to promote safely managed drinking water and improved public health in Nepal, where it is difficult to identify which wells are contaminated by E. coli. By the end of their grant period, the team had manufactured approximately 3,200 units, of which 2,350 were distributed — enough to help 12,000 people in Nepal. The researchers also trained local Nepalese on best manufacturing practices.“It’s very important, in my life experience, to follow your dream and to serve others,” says Murcott. Economic success is important to the health of any venture, whether it’s a company or a product, but equally important is the social impact — a philosophy that J-WAFS research strives to uphold. “Do something because it’s worth doing and because it changes people’s lives and saves lives,” Murcott adds.As J-WAFS prepares to celebrate its 10th anniversary this year, we look forward to continued collaboration with MIT’s many I&E programs to advance knowledge and develop solutions that will have tangible effects on the world’s water and food systems.Learn more about the J-WAFS Solutions program and about innovation and entrepreneurship at MIT. More

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    Q&A: “As long as you have a future, you can still change it”

    Tristan Brown is the S.C. Fang Chinese Language and Culture Career Development Professor at MIT. He specializes in law, science, environment and religion of late imperial China, a period running from the 16th through early 20th centuries.In this Q&A, Brown discusses how his areas of historical research can be useful for examining today’s pressing environmental challenges. This is part of an ongoing series exploring how the MIT School of Humanities, Arts, and Social Sciences is addressing the climate crisis.Q: Why does this era of Chinese history resonate so much for you? How is it relevant to contemporary times and challenges?A: China has always been interesting to historians because it has a long-recorded history, with data showing how people have coped with environmental and climate changes over the centuries. We have tons of records of various kinds of ecological issues, environmental crises, and the associated outbreaks of calamities, famine, epidemics, and warfare. Historians of China have a lot to offer ongoing conversations about climate.More specifically, I research conflicts over land and resources that erupted when China was undergoing huge environmental, economic, demographic, and political pressures, and the role that feng shui played as local communities and the state tried to mediate those conflicts. [Feng shui is an ancient Chinese practice combining cosmology, spatial aesthetics, and measurement to divine the right balance between the natural and built environment.] Ultimately, the Qing (1644-1912) state was unable to manage these conflicts, and feng shui–based attempts to make decisions about conserving or exploiting certain areas blew up by the end of the 19th century in the face of pressures to industrialize. This is the subject of my first book, “Laws of the Land: Fengshui and the State in Qing Dynasty China.”Q: Can you give a sense of how feng shui was used to determine outcomes in environmental cases?A: We tend to think of feng shui as a popular design mechanism today. While this isn’t completely inaccurate, there was much more to it than that in Chinese history, when it evolved over many centuries. Specifically, there are lots of insights in feng shui that reflect the ways in which people recorded the natural world, explained how components in the environment related to one another, and understood why and how bad things happened. There is an interesting concept in feng shui that your environment affects your health,and specifically your children’s (i.e., descendants and progeny) health. That concept is found across premodern feng shui literature and is one of fundamental principles of the whole knowledge system.During the period I research, the Qing, the primary fuel energy sources in China came from timber and coal. There were legal cases where communities argued against efforts to mine a local mountain, saying that it could injure the feng shui (i.e., undermine the cosmological balance of natural forces and spatial integrity) of a mountain and hurt the fortunes of an entire region. People were suspicious of coal mining in their communities. They had seen or heard about mines collapsing and flooded mine shafts, they had watched runoff ruin good farmland, causing crops to fail, and even perhaps children to fall ill. Coal mining disturbed the human-earth connection, and thus the relationship between people and nature. People invoked feng shui to express an idea that the extraction of rocks and minerals from the land can have detrimental effects on living communities. Whether out of a sincere community-based concern or out of a more self-interested NIMBYism, feng shui was the primary discourse invoked in these cases.Not all efforts to conserve areas from mining succeeded, especially as foreign imperialism encroached on China, threatening government and local control over the economy. It became gradually clear to China’s elites that the country had to industrialize to survive, and this involved the difficult and even violent process of taking people from farm work and bringing them to cities, building railways, cutting millions of trees, and mining coal to power it all.Q: This makes it seem as if the Chinese swept away feng shui whenever it presented a hurdle, putting the country on the path to coal dependence, pollution, and a carbon-emitting future.A: Feng shui has not disappeared in China, but there’s no doubt about it that development in the form of industrialization took precedence in the 20th century, when it became officially labelled a “superstition” on the national stage. When I first went to China in 2007, city air was so polluted I couldn’t see the horizon. I was 18 years old and the air in some northern cities like Shijiazhuang honestly felt scary. I’ve returned many times since then, of course, and there has been great improvement in air quality, because the government made it a priority.Feng shui is a future-oriented knowledge, concerned with identifying events that have happened in the past that are related to things happening today, and using that information to influence future events. As Richard Smith of Rice University argues, Chinese have used history to order the past, ritual to order the present, and divination to order the future. Consider, for instance, Xiong’an, a new development area outside of Beijing that is physically marking the era of Xi Jinping’s tenure as paramount leader. As soon as the site was selected, people in China started talking about its feng shui, both out of potential environmental concerns and as a subtle form of political commentary. MIT’s own Sol Andrew Stokols in the Department of Urban Studies and Planning (DUSP) has a fantastic new dissertation examining that new area.In short, the feng shui masters of old said there will be floods and droughts and bad stuff happening in the future if a course correction isn’t made. But at the same time, in feng shui there’s never a situation that is hopeless; there is no lost cause. So, there is optimism in the knowledge and rhetoric of feng shui that I think might be applicable as time goes on with climate change. As long as you have a future, you can still change it. Q: In 2023, you were awarded one of the first grants of MIT’s Climate Nucleus, the faculty committee charged with seeing through the Institute’s climate action plan over the decade. What have you been up to courtesy of this fund?A: Well, it all started years ago, when I started thinking about great number of mountains in China associated with Buddhism or Daoism that have become national parks in recent decades. Some of these mountains host trees and plant species that are not found in any other part of China. For my grant, I wanted to find out how these mountains have managed to incubate such rare species for the last 2,000 years. And it’s not as simple as just saying, well, Buddhism, right? Because there are plenty of Buddhist mountains that have not fared as well ecologically. The religious landscape is part of the answer, but there’s also all the messiness of material history that surrounds such a mountain.With this grant, I am bringing together a group of scholars of religion, historians, as well as engineers working in conservation ecology, and we’re trying to figure out what makes some of these places religiously and environmentally distinctive. People come to the project with different approaches. My MIT colleague Serguei Saavedra in the Department of Civil and Environmental Engineering uses new models in system ecology to measure the resilience of environments under various stresses. My colleague in religious studies, Or Porath at Tel Aviv University, is asking when and how Asian religions have centered — or ignored — animals and animal welfare. Another collaboration with MIT’s Siqi Zheng in DUSP and Wen-Chi Liao at the National University of Singapore is looking at how we can use artificial intelligence, machine learning, and classical feng shui manuals to teach computers how to analyze the value of a property’s feng shui in Sinophone communities around the world. There’s a lot going on!Q: How do you bring China’s unique environmental history and law into your classroom, and make it immediate and relevant to the world students face today?A: History is always part of the answer. I mean, whether it’s for an economist, a political scientist, or an architect, history matters. Likewise, when you’re confronting climate change and all these struggles regarding the environment and various crises involving ecosystems, it’s always a good idea to look at how human beings in the past dealt with similar crises. It doesn’t give you a prediction on what would happen in the future, but it gives you some range of possibilities, many of which may at first appear counterintuitive or surprising.That’s exactly what the humanities do. My job is to make MIT undergraduates care about a people who are no longer alive, who walked the earth a thousand years ago, who confronted terrible times of conflict and hunger. Sometimes these people left behind a written record about their world, and sometimes they didn’t. But we try to hear them out regardless. I want students to develop empathy for these strangers and wonder what it would be like to walk in their shoes. Every one of those people is someone’s ancestor, and they very well could have been your ancestor.In my class 21H.186 (Nature and Environment in China), we look at the historical precedents that might be useful for today’s environmental challenges, ranging from urban pollution or domestic recycling systems. The fact we’re still here to ask historical questions is itself significant. When we feel despair about climate change, we can ask, “How did individuals endure the changed course of the Yellow River or the Little Ice Age?” Even when it is recording tragedies, history can be understood as an enduring form of hope.  More

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    “They can see themselves shaping the world they live in”

    During the journey from the suburbs to the city, the tree canopy often dwindles down as skyscrapers rise up. A group of New England Innovation Academy students wondered why that is.“Our friend Victoria noticed that where we live in Marlborough there are lots of trees in our own backyards. But if you drive just 30 minutes to Boston, there are almost no trees,” said high school junior Ileana Fournier. “We were struck by that duality.”This inspired Fournier and her classmates Victoria Leeth and Jessie Magenyi to prototype a mobile app that illustrates Massachusetts deforestation trends for Day of AI, a free, hands-on curriculum developed by the MIT Responsible AI for Social Empowerment and Education (RAISE) initiative, headquartered in the MIT Media Lab and in collaboration with the MIT Schwarzman College of Computing and MIT Open Learning. They were among a group of 20 students from New England Innovation Academy who shared their projects during the 2024 Day of AI global celebration hosted with the Museum of Science.The Day of AI curriculum introduces K-12 students to artificial intelligence. Now in its third year, Day of AI enables students to improve their communities and collaborate on larger global challenges using AI. Fournier, Leeth, and Magenyi’s TreeSavers app falls under the Telling Climate Stories with Data module, one of four new climate-change-focused lessons.“We want you to be able to express yourselves creatively to use AI to solve problems with critical-thinking skills,” Cynthia Breazeal, director of MIT RAISE, dean for digital learning at MIT Open Learning, and professor of media arts and sciences, said during this year’s Day of AI global celebration at the Museum of Science. “We want you to have an ethical and responsible way to think about this really powerful, cool, and exciting technology.”Moving from understanding to actionDay of AI invites students to examine the intersection of AI and various disciplines, such as history, civics, computer science, math, and climate change. With the curriculum available year-round, more than 10,000 educators across 114 countries have brought Day of AI activities to their classrooms and homes.The curriculum gives students the agency to evaluate local issues and invent meaningful solutions. “We’re thinking about how to create tools that will allow kids to have direct access to data and have a personal connection that intersects with their lived experiences,” Robert Parks, curriculum developer at MIT RAISE, said at the Day of AI global celebration.Before this year, first-year Jeremie Kwapong said he knew very little about AI. “I was very intrigued,” he said. “I started to experiment with ChatGPT to see how it reacts. How close can I get this to human emotion? What is AI’s knowledge compared to a human’s knowledge?”In addition to helping students spark an interest in AI literacy, teachers around the world have told MIT RAISE that they want to use data science lessons to engage students in conversations about climate change. Therefore, Day of AI’s new hands-on projects use weather and climate change to show students why it’s important to develop a critical understanding of dataset design and collection when observing the world around them.“There is a lag between cause and effect in everyday lives,” said Parks. “Our goal is to demystify that, and allow kids to access data so they can see a long view of things.”Tools like MIT App Inventor — which allows anyone to create a mobile application — help students make sense of what they can learn from data. Fournier, Leeth, and Magenyi programmed TreeSavers in App Inventor to chart regional deforestation rates across Massachusetts, identify ongoing trends through statistical models, and predict environmental impact. The students put that “long view” of climate change into practice when developing TreeSavers’ interactive maps. Users can toggle between Massachusetts’s current tree cover, historical data, and future high-risk areas.Although AI provides fast answers, it doesn’t necessarily offer equitable solutions, said David Sittenfeld, director of the Center for the Environment at the Museum of Science. The Day of AI curriculum asks students to make decisions on sourcing data, ensuring unbiased data, and thinking responsibly about how findings could be used.“There’s an ethical concern about tracking people’s data,” said Ethan Jorda, a New England Innovation Academy student. His group used open-source data to program an app that helps users track and reduce their carbon footprint.Christine Cunningham, senior vice president of STEM Learning at the Museum of Science, believes students are prepared to use AI responsibly to make the world a better place. “They can see themselves shaping the world they live in,” said Cunningham. “Moving through from understanding to action, kids will never look at a bridge or a piece of plastic lying on the ground in the same way again.”Deepening collaboration on earth and beyondThe 2024 Day of AI speakers emphasized collaborative problem solving at the local, national, and global levels.“Through different ideas and different perspectives, we’re going to get better solutions,” said Cunningham. “How do we start young enough that every child has a chance to both understand the world around them but also to move toward shaping the future?”Presenters from MIT, the Museum of Science, and NASA approached this question with a common goal — expanding STEM education to learners of all ages and backgrounds.“We have been delighted to collaborate with the MIT RAISE team to bring this year’s Day of AI celebration to the Museum of Science,” says Meg Rosenburg, manager of operations at the Museum of Science Centers for Public Science Learning. “This opportunity to highlight the new climate modules for the curriculum not only perfectly aligns with the museum’s goals to focus on climate and active hope throughout our Year of the Earthshot initiative, but it has also allowed us to bring our teams together and grow a relationship that we are very excited to build upon in the future.”Rachel Connolly, systems integration and analysis lead for NASA’s Science Activation Program, showed the power of collaboration with the example of how human comprehension of Saturn’s appearance has evolved. From Galileo’s early telescope to the Cassini space probe, modern imaging of Saturn represents 400 years of science, technology, and math working together to further knowledge.“Technologies, and the engineers who built them, advance the questions we’re able to ask and therefore what we’re able to understand,” said Connolly, research scientist at MIT Media Lab.New England Innovation Academy students saw an opportunity for collaboration a little closer to home. Emmett Buck-Thompson, Jeff Cheng, and Max Hunt envisioned a social media app to connect volunteers with local charities. Their project was inspired by Buck-Thompson’s father’s difficulties finding volunteering opportunities, Hunt’s role as the president of the school’s Community Impact Club, and Cheng’s aspiration to reduce screen time for social media users. Using MIT App Inventor, ​their combined ideas led to a prototype with the potential to make a real-world impact in their community.The Day of AI curriculum teaches the mechanics of AI, ethical considerations and responsible uses, and interdisciplinary applications for different fields. It also empowers students to become creative problem solvers and engaged citizens in their communities and online. From supporting volunteer efforts to encouraging action for the state’s forests to tackling the global challenge of climate change, today’s students are becoming tomorrow’s leaders with Day of AI.“We want to empower you to know that this is a tool you can use to make your community better, to help people around you with this technology,” said Breazeal.Other Day of AI speakers included Tim Ritchie, president of the Museum of Science; Michael Lawrence Evans, program director of the Boston Mayor’s Office of New Urban Mechanics; Dava Newman, director of the MIT Media Lab; and Natalie Lao, executive director of the App Inventor Foundation. More

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    How to increase the rate of plastics recycling

    While recycling systems and bottle deposits have become increasingly widespread in the U.S., actual rates of recycling are “abysmal,” according to a team of MIT researchers who studied the rates for recycling of PET, the plastic commonly used in beverage bottles. However, their findings suggest some ways to change this.The present rate of recycling for PET, or polyethylene terephthalate, bottles nationwide is about 24 percent and has remained stagnant for a decade, the researchers say. But their study indicates that with a nationwide bottle deposit program, the rates could increase to 82 percent, with nearly two-thirds of all PET bottles being recycled into new bottles, at a net cost of just a penny a bottle when demand is robust. At the same time, they say, policies would be needed to ensure a sufficient demand for the recycled material.The findings are being published today in the Journal of Industrial Ecology, in a paper by MIT professor of materials science and engineering Elsa Olivetti, graduate students Basuhi Ravi and Karan Bhuwalka, and research scientist Richard Roth.The team looked at PET bottle collection and recycling rates in different states as well as other nations with and without bottle deposit policies, and with or without curbside recycling programs, as well as the inputs and outputs of various recycling companies and methods. The researchers say this study is the first to look in detail at the interplay between public policies and the end-to-end realities of the packaging production and recycling market.They found that bottle deposit programs are highly effective in the areas where they are in place, but at present there is not nearly enough collection of used bottles to meet the targets set by the packaging industry. Their analysis suggests that a uniform nationwide bottle deposit policy could achieve the levels of recycling that have been mandated by proposed legislation and corporate commitments.The recycling of PET is highly successful in terms of quality, with new products made from all-recycled material virtually matching the qualities of virgin material. And brands have shown that new bottles can be safely made with 100 percent postconsumer waste. But the team found that collection of the material is a crucial bottleneck that leaves processing plants unable to meet their needs. However, with the right policies in place, “one can be optimistic,” says Olivetti, who is the Jerry McAfee Professor in Engineering and the associate dean of the School of Engineering.“A message that we have found in a number of cases in the recycling space is that if you do the right work to support policies that think about both the demand but also the supply,” then significant improvements are possible, she says. “You have to think about the response and the behavior of multiple actors in the system holistically to be viable,” she says. “We are optimistic, but there are many ways to be pessimistic if we’re not thinking about that in a holistic way.”For example, the study found that it is important to consider the needs of existing municipal waste-recovery facilities. While expanded bottle deposit programs are essential to increase recycling rates and provide the feedstock to companies recycling PET into new products, the current facilities that process material from curbside recycling programs will lose revenue from PET bottles, which are a relatively high-value product compared to the other materials in the recycled waste stream. These companies would lose a source of their income if the bottles are collected through deposit programs, leaving them with only the lower-value mixed plastics.The researchers developed economic models based on rates of collection found in the states with deposit programs, recycled-content requirements, and other policies, and used these models to extrapolate to the nation as a whole. Overall, they found that the supply needs of packaging producers could be met through a nationwide bottle deposit system with a 10-cent deposit per bottle — at a net cost of about 1 cent per bottle produced when demand is strong. This need not be a federal program, but rather one where the implementation would be left up to the individual states, Olivetti says.Other countries have been much more successful in implementing deposit systems that result in very high participation rates. Several European countries manage to collect more than 90 percent of PET bottles for recycling, for example. But in the U.S., less than 29 percent are collected, and after losses in the recycling chain about 24 percent actually get recycled, the researchers found. Whereas 73 percent of Americans have access to curbside recycling, presently only 10 states have bottle deposit systems in place.Yet the demand is there so far. “There is a market for this material,” says Olivetti. While bottles collected through mixed-waste collection can still be recycled to some extent, those collected through deposit systems tend to be much cleaner and require less processing, and so are more economical to recycle into new bottles, or into textiles.To be effective, policies need to not just focus on increasing rates of recycling, but on the whole cycle of supply and demand and the different players involved, Olivetti says. Safeguards would need to be in place to protect existing recycling facilities from the lost revenues they would suffer as a result of bottle deposits, perhaps in the form of subsidies funded by fees on the bottle producers, to avoid putting these essential parts of the processing chain out of business. And other policies may be needed to ensure the continued market for the material that gets collected, including recycled content requirements and extended producer responsibility regulations, the team found.At this stage, it’s important to focus on the specific waste streams that can most effectively be recycled, and PET, along with many metals, clearly fit that category. “When we start to think about mixed plastic streams, that’s much more challenging from an environmental perspective,” she says. “Recycling systems need to be pursuing extended producers’ responsibility, or specifically thinking about materials designed more effectively toward recycled content,” she says.It’s also important to address “what the right metrics are to design for sustainably managed materials streams,” she says. “It could be energy use, could be circularity [for example, making old bottles into new bottles], could be around waste reduction, and making sure those are all aligned. That’s another kind of policy coordination that’s needed.” More

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    Q&A: The power of tiny gardens and their role in addressing climate change

    To address the climate crisis, one must understand environmental history. MIT Professor Kate Brown’s research has typically focused on environmental catastrophes. More recently, Brown has been exploring a more hopeful topic: tiny gardens.Brown is the Thomas M. Siebel Distinguished Professor in History of Science in the MIT Program in Science, Technology, and Society. In this Q&A, Brown discusses her research, and how she believes her current project could help put power into the hands of everyday people.This is part of an ongoing series exploring how the MIT School of Humanities, Arts, and Social Sciences is addressing the climate crisis.Q: You have created an unusual niche for yourself as an historian of environmental catastrophes. What drew you to such a dismal beat?A: Historians often study New York, Warsaw, Moscow, Berlin, but if you go to these little towns that nobody’s ever heard of, that’s where you see the destruction in the wake of progress. This is likely because I grew up in a manufacturing town in the Midwestern Rust Belt, watching stores go bankrupt and houses sit empty. I became very interested in the people who were the last to turn off the lights.Q: Did this interest in places devastated by technological and economic change eventually lead to your investigation of Chernobyl?A: I first studied the health and environmental consequences of radioactive waste on communities near nuclear weapons facilities in the U.S. and Russia, and then decided to focus on the health and environmental impacts of fallout from the Chernobyl nuclear energy plant disaster. After gaining access to the KGB records in Kiev, I realized that there was a Klondike of records describing what Soviet officials at the time called a “public health disaster.” People on the ground recognized the saturation of radioactivity into environments and food supplies not with any with sensitive devices, but by noticing the changes in ecologies and on human bodies. I documented how Moscow leaders historically and decades later engaged in a coverup, and that even international bodies charged with examining nuclear issues were reluctant to acknowledge this ongoing public health disaster due to liabilities in their own countries from the production and testing of nuclear weapons during the Cold War.Q: Why did you turn from detailed studies of what you call “modernist wastelands” to the subject of climate change?A: Journalists and scholars have worked hard in the last two decades to get people to understand the scope and the scale and the verisimilitude of climate change. And that’s great, but some of these catastrophic stories we tell don’t make people feel very safe or secure. They have a paralyzing effect on us. Climate change is one of many problems that are too big for any one person to tackle, or any one entity, whether it’s a huge nation like the United States or an international body like the U.N.So I thought I would start to work on something that is very small scale that puts action in the hands of just regular people to try to tell a more hopeful story. I am finishing a new book about working-class people who got pushed off their farms in the 19th century, and ended up in mega cities like London, Berlin, Amsterdam, and Washington D.C., find land on the periphery of the cities. They start digging, growing their own food, cooperating together. They basically recreated forms of the commons in cities. And in so doing, they generate the most productive agriculture in recorded history.Q: What are some highlights of this extraordinary city-based food generation?A: In Paris circa 1900, 5,000 urban farmers grew fruits and vegetables and fresh produce for 2 million Parisians with a surplus left over to sell to London. They would plant three to six crops a year on one tract of land using horse manure to heat up soils from below to push the season and grow spring crops in winter and summer crops in spring.An agricultural economist looked at the inputs and the outputs from these Parisian farms. He found there was no comparison to the Green Revolution fields of the 1970s. These urban gardeners were producing far more per acre, with no petroleum-based fertilizers.Q: What is the connection between little gardens like these and the global climate crisis, where individuals can feel at loss facing the scale of the problems?A: You can think of a tiny city garden like a coral reef, where one little worm comes and builds its cave. And then another one attaches itself to the first, and so on. Pretty soon you have a great coral reef with a platform to support hundreds of different species — a rich biodiversity. Tiny gardens work that way in cities, which is one reason cities are now surprising hotspots of biodiversity.Transforming urban green space into tiny gardens doesn’t take an act of God, the U.N., or the U.S. Congress to make a change. You could just go to your municipality and say, “Listen, right now we have a zoning code that says every time there’s a new condo, you have to have one or two parking spaces, but we’d rather see one or two garden spaces.”And if you don’t want a garden, you’ll have a neighbor who does. So people are outside and they have their hands in the soil and then they start to exchange produce with one another. As they share carrots and zucchini, they exchange soil and human microbes as well. We know that when people share microbiomes, they get along better, have more in common. It comes as no surprise that humans have organized societies around shaking hands, kissing on the cheek, producing food together and sharing meals. That’s what I think we’ve lost in our remote worlds.Q: So can we address or mitigate the impacts of climate change on a community-by-community basis?A: I believe that’s probably the best way to do it. When we think of energy we often imagine deposits of oil or gas, but, as our grad student Turner Adornetto points out, every environment has energy running through it. Every environment has its own best solution. If it’s a community that lives along a river, tap into hydropower; or if it’s a community that has tons of organic waste, maybe you want to use microbial power; and if it’s a community that has lots of sun then use different kinds of solar power. The legacy of midcentury modernism is that engineers came up with one-size-fits-all solutions to plug in anywhere in the world, regardless of local culture, traditions, or environment. That is one of the problems that has gotten us into this fix in the first place.Politically, it’s a good idea to avoid making people feel they’re being pushed around by one set of codes, one set of laws in terms of coming up with solutions that work. There are ways of deriving energy and nutrients that enrich the environment, ways that don’t drain and deplete. You see that so clearly with a plant, which just does nothing but grow and contribute and give, whether it’s in life or in death. It’s just constantly improving its environment.Q: How do you unleash creativity and propagate widespread local responses to climate change?A: One of the important things we are trying to accomplish in the humanities is communicating in the most down-to-earth ways possible to our students and the public so that anybody — from a fourth grader to a retired person — can get engaged.There’s “TECHNOLOGY” in uppercase letters, the kind that is invented and patented in places like MIT. And then there’s technology in lowercase letters, where people are working with things readily at hand. That is the kind of creativity we don’t often pay enough attention to.Keep in mind that at the end of the 19th century, scientists were sure that the earth was cooling and the earth would all under ice by 2020. In the 1950s, many people feared nuclear warfare. In the 1960s the threat was the “population bomb.” Every generation seems to have its apocalyptic sense of doom. It is helpful to take climate change and the Anthropocene and put them in perspective. These are problems we can solve. More

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    An AI dataset carves new paths to tornado detection

    The return of spring in the Northern Hemisphere touches off tornado season. A tornado’s twisting funnel of dust and debris seems an unmistakable sight. But that sight can be obscured to radar, the tool of meteorologists. It’s hard to know exactly when a tornado has formed, or even why.

    A new dataset could hold answers. It contains radar returns from thousands of tornadoes that have hit the United States in the past 10 years. Storms that spawned tornadoes are flanked by other severe storms, some with nearly identical conditions, that never did. MIT Lincoln Laboratory researchers who curated the dataset, called TorNet, have now released it open source. They hope to enable breakthroughs in detecting one of nature’s most mysterious and violent phenomena.

    “A lot of progress is driven by easily available, benchmark datasets. We hope TorNet will lay a foundation for machine learning algorithms to both detect and predict tornadoes,” says Mark Veillette, the project’s co-principal investigator with James Kurdzo. Both researchers work in the Air Traffic Control Systems Group. 

    Along with the dataset, the team is releasing models trained on it. The models show promise for machine learning’s ability to spot a twister. Building on this work could open new frontiers for forecasters, helping them provide more accurate warnings that might save lives. 

    Swirling uncertainty

    About 1,200 tornadoes occur in the United States every year, causing millions to billions of dollars in economic damage and claiming 71 lives on average. Last year, one unusually long-lasting tornado killed 17 people and injured at least 165 others along a 59-mile path in Mississippi.  

    Yet tornadoes are notoriously difficult to forecast because scientists don’t have a clear picture of why they form. “We can see two storms that look identical, and one will produce a tornado and one won’t. We don’t fully understand it,” Kurdzo says.

    A tornado’s basic ingredients are thunderstorms with instability caused by rapidly rising warm air and wind shear that causes rotation. Weather radar is the primary tool used to monitor these conditions. But tornadoes lay too low to be detected, even when moderately close to the radar. As the radar beam with a given tilt angle travels further from the antenna, it gets higher above the ground, mostly seeing reflections from rain and hail carried in the “mesocyclone,” the storm’s broad, rotating updraft. A mesocyclone doesn’t always produce a tornado.

    With this limited view, forecasters must decide whether or not to issue a tornado warning. They often err on the side of caution. As a result, the rate of false alarms for tornado warnings is more than 70 percent. “That can lead to boy-who-cried-wolf syndrome,” Kurdzo says.  

    In recent years, researchers have turned to machine learning to better detect and predict tornadoes. However, raw datasets and models have not always been accessible to the broader community, stifling progress. TorNet is filling this gap.

    The dataset contains more than 200,000 radar images, 13,587 of which depict tornadoes. The rest of the images are non-tornadic, taken from storms in one of two categories: randomly selected severe storms or false-alarm storms (those that led a forecaster to issue a warning but that didn’t produce a tornado).

    Each sample of a storm or tornado comprises two sets of six radar images. The two sets correspond to different radar sweep angles. The six images portray different radar data products, such as reflectivity (showing precipitation intensity) or radial velocity (indicating if winds are moving toward or away from the radar).

    A challenge in curating the dataset was first finding tornadoes. Within the corpus of weather radar data, tornadoes are extremely rare events. The team then had to balance those tornado samples with difficult non-tornado samples. If the dataset were too easy, say by comparing tornadoes to snowstorms, an algorithm trained on the data would likely over-classify storms as tornadic.

    “What’s beautiful about a true benchmark dataset is that we’re all working with the same data, with the same level of difficulty, and can compare results,” Veillette says. “It also makes meteorology more accessible to data scientists, and vice versa. It becomes easier for these two parties to work on a common problem.”

    Both researchers represent the progress that can come from cross-collaboration. Veillette is a mathematician and algorithm developer who has long been fascinated by tornadoes. Kurdzo is a meteorologist by training and a signal processing expert. In grad school, he chased tornadoes with custom-built mobile radars, collecting data to analyze in new ways.

    “This dataset also means that a grad student doesn’t have to spend a year or two building a dataset. They can jump right into their research,” Kurdzo says.

    This project was funded by Lincoln Laboratory’s Climate Change Initiative, which aims to leverage the laboratory’s diverse technical strengths to help address climate problems threatening human health and global security.

    Chasing answers with deep learning

    Using the dataset, the researchers developed baseline artificial intelligence (AI) models. They were particularly eager to apply deep learning, a form of machine learning that excels at processing visual data. On its own, deep learning can extract features (key observations that an algorithm uses to make a decision) from images across a dataset. Other machine learning approaches require humans to first manually label features. 

    “We wanted to see if deep learning could rediscover what people normally look for in tornadoes and even identify new things that typically aren’t searched for by forecasters,” Veillette says.

    The results are promising. Their deep learning model performed similar to or better than all tornado-detecting algorithms known in literature. The trained algorithm correctly classified 50 percent of weaker EF-1 tornadoes and over 85 percent of tornadoes rated EF-2 or higher, which make up the most devastating and costly occurrences of these storms.

    They also evaluated two other types of machine-learning models, and one traditional model to compare against. The source code and parameters of all these models are freely available. The models and dataset are also described in a paper submitted to a journal of the American Meteorological Society (AMS). Veillette presented this work at the AMS Annual Meeting in January.

    “The biggest reason for putting our models out there is for the community to improve upon them and do other great things,” Kurdzo says. “The best solution could be a deep learning model, or someone might find that a non-deep learning model is actually better.”

    TorNet could be useful in the weather community for others uses too, such as for conducting large-scale case studies on storms. It could also be augmented with other data sources, like satellite imagery or lightning maps. Fusing multiple types of data could improve the accuracy of machine learning models.

    Taking steps toward operations

    On top of detecting tornadoes, Kurdzo hopes that models might help unravel the science of why they form.

    “As scientists, we see all these precursors to tornadoes — an increase in low-level rotation, a hook echo in reflectivity data, specific differential phase (KDP) foot and differential reflectivity (ZDR) arcs. But how do they all go together? And are there physical manifestations we don’t know about?” he asks.

    Teasing out those answers might be possible with explainable AI. Explainable AI refers to methods that allow a model to provide its reasoning, in a format understandable to humans, of why it came to a certain decision. In this case, these explanations might reveal physical processes that happen before tornadoes. This knowledge could help train forecasters, and models, to recognize the signs sooner. 

    “None of this technology is ever meant to replace a forecaster. But perhaps someday it could guide forecasters’ eyes in complex situations, and give a visual warning to an area predicted to have tornadic activity,” Kurdzo says.

    Such assistance could be especially useful as radar technology improves and future networks potentially grow denser. Data refresh rates in a next-generation radar network are expected to increase from every five minutes to approximately one minute, perhaps faster than forecasters can interpret the new information. Because deep learning can process huge amounts of data quickly, it could be well-suited for monitoring radar returns in real time, alongside humans. Tornadoes can form and disappear in minutes.

    But the path to an operational algorithm is a long road, especially in safety-critical situations, Veillette says. “I think the forecaster community is still, understandably, skeptical of machine learning. One way to establish trust and transparency is to have public benchmark datasets like this one. It’s a first step.”

    The next steps, the team hopes, will be taken by researchers across the world who are inspired by the dataset and energized to build their own algorithms. Those algorithms will in turn go into test beds, where they’ll eventually be shown to forecasters, to start a process of transitioning into operations.

    In the end, the path could circle back to trust.

    “We may never get more than a 10- to 15-minute tornado warning using these tools. But if we could lower the false-alarm rate, we could start to make headway with public perception,” Kurdzo says. “People are going to use those warnings to take the action they need to save their lives.” More

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    New study shows how universities are critical to emerging fusion industry

    A new study suggests that universities have an essential role to fulfill in the continued growth and success of any modern high-tech industry, and especially the nascent fusion industry; however, the importance of that role is not reflected in the number of fusion-oriented faculty and educational channels currently available. Academia’s responsiveness to the birth of other modern scientific fields, such as aeronautics and nuclear fission, provides a template for the steps universities can take to enable a robust fusion industry.

    Authored by Dennis Whyte, the Hitachi America Professor of Engineering and director of the Plasma Science and Fusion Center at MIT; Carlos Paz-Soldan, associate professor of applied physics and applied mathematics at Columbia University; and Brian D. Wirth, the Governor’s Chair Professor of Computational Nuclear Engineering at the University of Tennessee, the paper was recently published in the journal Physics of Plasmas as part of a special collection titled “Private Fusion Research: Opportunities and Challenges in Plasma Science.”

    With contributions from authors in academia, government, and private industry, the collection outlines a framework for public-private partnerships that will be essential for the success of the fusion industry.

    Now being seen as a potential source of unlimited green energy, fusion is the same process that powers the sun — hydrogen atoms combine to form helium, releasing vast amounts of clean energy in the form of light and heat.

    The excitement surrounding fusion’s arrival has resulted in the proliferation of dozens of for-profit companies positioning themselves at the forefront of the commercial fusion energy industry. In the near future, those companies will require a significant network of fusion-fluent workers to take on varied tasks requiring a range of skills.

    While the authors acknowledge the role of private industry, especially as an increasingly dominant source of research funding, they also show that academia is and will continue to be critical to industry’s development, and it cannot be decoupled from private industry’s growth. Despite the evidence of this burgeoning interest, the size and scale of the field’s academic network at U.S.-based universities is sparse.

    According to Whyte, “Diversifying the [fusion] field by adding more tracks for master’s students and undergraduates who can transition into industry more quickly is an important step.”

    An analysis found that while there are 57 universities in the United States active in plasma and fusion research, the average number of tenured or tenure-track plasma/fusion faculty at each institution is only two. By comparison, a sampling of US News and World Report’s top 10 programs for nuclear fission and aeronautics/astronautics found an average of nearly 20 faculty devoted to fission and 32 to aero/astro.

    “University programs in fusion and their sponsors need to up their game and hire additional faculty if they want to provide the necessary workforce to support a growing U.S. fusion industry,” adds Paz-Soldan.

    The growth and proliferation of those fields and others, such as computing and biotechnology, were historically in lockstep with the creation of academic programs that helped drive the fields’ progress and widespread acceptance. Creating a similar path for fusion is essential to ensuring its sustainable growth, and as Wirth notes, “that this growth should be pursued in a way that is interdisciplinary across numerous engineering and science disciplines.”

    At MIT, an example of that path is seen at the Plasma Science and Fusion Center.

    The center has deep historical ties to government research programs, and the largest fusion company in the world, Commonwealth Fusion Systems (CFS), was spun out of the PSFC by Whyte’s former students and an MIT postdoc. Whyte also serves as the primary investigator in collaborative research with CFS on SPARC, a proof-of-concept fusion platform for advancing tokamak science that is scheduled for completion in 2025.

    “Public and private roles in the fusion community are rapidly evolving in response to the growth of privately funded commercial product development,” says Michael Segal, head of open innovation at CFS. “The fusion industry will increasingly rely on its university partners to train students, work across diverse disciplines, and execute small and midsize programs at speed.”

    According to the authors, another key reason academia will remain essential to the continued growth and development of fusion is because it is unconflicted. Whyte comments, “Our mandate is sharing information and education, which means we have no competitive conflict and innovation can flow freely.” Furthermore, fusion science is inherently multidisciplinary: “[It] requires physicists, computer scientists, engineers, chemists, etc. and it’s easy to tap into all those disciplines in an academic environment where they’re all naturally rubbing elbows and collaborating.”

    Creating a new energy industry, however, will also require a workforce skilled in disciplines other than STEM, say the authors. As fusion companies continue to grow, they will need expertise in finance, safety, licensing, and market analysis. Any successful fusion enterprise will also have major geopolitical, societal, and economic impacts, all of which must be managed.

    Ultimately, there are several steps the authors identify to help build the connections between academia and industry that will be important going forward: The first is for universities to acknowledge the rapidly changing fusion landscape and begin to adapt. “Universities need to embrace the growth of the private sector in fusion, recognize the opportunities it provides, and seek out mutually beneficial partnerships,” says Paz-Soldan.

    The second step is to reconcile the mission of educational institutions — unconflicted open access — with condensed timelines and proprietary outputs that come with private partnerships. At the same time, the authors note that private fusion companies should embrace the transparency of academia by publishing and sharing the findings they can through peer-reviewed journals, which will be a necessary part of building the industry’s credibility.

    The last step, the authors say, is for universities to become more flexible and creative in their technology licensing strategies to ensure ideas and innovations find their way from the lab into industry.

    “As an industry, we’re in a unique position because everything is brand new,” Whyte says. “But we’re enough students of history that we can see what’s needed to succeed; quantifying the status of the private and academic landscape is an important strategic touchstone. By drawing attention to the current trajectory, hopefully we’ll be in a better position to work with our colleagues in the public and private sector and make better-informed choices about how to proceed.” More