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      in Environment

      Conversations at the front line of climate

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      The climate crisis is a novel and developing chapter in human and planetary history. As a species, humankind is still very much learning how to face this crisis, and the world’s frontline communities — those being most affected by climate change — are struggling to make their voices heard. How can communities imperiled by climate change convey the urgency of their situation to countries and organizations with the means to make a difference? And how can governments and other powerful groups provide resources to these vulnerable frontline communities?The MIT Civic Design Initiative (CDI), an interdisciplinary confluence of media studies and design expertise, emerged in 2020 to tackle just these kinds of questions. It brings together the MIT Design Lab, a program originally founded in the School of Architecture and Planning with its research practices in design, and the Comparative Media Studies program (CMS/W) with its focus on the fundamentals of human connection and communication. Drawing on these complementary sources of scholarly perspective and expertise, CDI is a suitably broad umbrella for the range of climate-related issues that humanistic research and design can potentially address. Based in the CMS/W program of the School of Humanities, Arts, and Social Sciences, the initiative is responding to the climate crises with a spirit of inquiry, listening, and solid data. Reflecting on the mission, James Paradis, the Robert M. Metcalfe Professor of CMS/W and CDI faculty director, says the core idea is to address global issues by combining new and emerging technologies with an equally keen focus on the social and cultural contexts — the human dimensions of the issue — with many of their nuances.  Working closely with Paradis on this vision are the two CDI co-directors: Yihyun Lim, an architect, urban designer, and MIT researcher; and Eric Gordon, a visiting professor of civic media in MIT CMS/W. Prior to CDI, when she was leading the MIT Design Lab research group, Lim says “At MIT Design Lab, I was working within the realm of applied research with industry partnerships, how we can apply user-centered design methods in creating connected experiences. Eric, Jim, and I wanted to shift the focus into a more civic realm, where we could bring all our collective expertise together to address tricky problems.”

      Deep listeningThe initiative’s flagship project, the Deep Listening Project, is currently working with an initial group of frontline communities in Nepal and Indigenous tribes in the United States and Canada. The work is a direct application of communication protocols: understanding how people are communicating with and often without technologies — and how technologies can be better used to help people get the help they need, when they need it, in the face of the climate crisis.

      The CDI team describes deep listening as “a form of institutional and community intake that considers diversity, tensions, and frictions, and that incorporates communities’ values in creating solutions.”

      Globally, the majority of climate response funding currently goes toward mitigation efforts — such as reducing emissions or using more eco-friendly materials. It is only in recent years that more substantial funding has been focused on climate adaptation: making adjustments that can help a community adapt to present changes and impacts and also prepare for future climate-related crises. For the millions of people in frontline communities, such adaptation can be crucial to protecting and sustaining their communities.Gordon describes the scope of the situation: “We know that over the next 10 years, climate change will drive over 100 million people to adapt where and how they live, regardless of the success of mitigation efforts. And in order for those adaptations to succeed, there must be a concerted collaborative effort between frontline communities and institutions with the resources to facilitate adaptation.“Communication between institutions and their constituents is a fundamental planning problem in any context,” Gordon continues. “In the case of climate adaptation, there will not be a surplus of time to get things right. Putting communication mechanisms in place to connect affected communities with institutional resources is already imperative.“This situation requires that we figure out, quickly, how to listen to the people who will rely on [those institutions] for their lives and livelihoods. We want to understand how institutions — from governments to universities to NGOs [nongovernmental organizations] — are adopting and adapting technologies, and how that is benefiting or hurting their constituencies.  People with direct frontline experience need to be supported in their speech and ideas, and institutions need to be able to take in the data from these communities, listen carefully to discern its significance, and then act upon it.” Sensemaking: infrastructure for connection

      One important aspect of meaningful, effective communication will be the ability of frontline and Indigenous communities to communicate likely or imagined futures, based on their own knowledge and desires. One potential tool is what the initiative calls “sensemaking:” producing and sharing data visualizations that can communicate to governments the experiences of frontline communities. The initiative also hopes to develop additional elements of the “deep listening infrastructure” — mechanisms to make sure important community voices carry and that important data isn’t lost to noise in the vast question of climate adaptability.“Oftentimes in academia, the paper gets published or the website gets developed, and everybody says, ‘OK, we’ve done our work,’” Paradis observes. “What we’re aiming to do in the CDI is the necessary work that happens after the publication of research — where research is applied to actually improve peoples’ lives.”The Deep Listening Project is also building a network of scholars and practitioners nationwide, including Henry Jenkins, co-founder and former faculty member at MIT CMS/W; Sangita Shresthova SM ’03 at the University of Southern California; and Darren Ranco at the University of Maine. Ranco, an anthropologist, Indigenous activist, and organizational leader, has been instrumental in connecting with Indigenous groups and tribal governments across North America. Meanwhile, Gordon has helped forge connections with groups like the International Red Cross/Red Crescent, the World Bank, and the UN Development. At the root of these connections is the impetus to communicate lived realities from the level of a small community to that of global relief organizations and governmental powers.

      Potential human futures

      Mona Vijaykumar, a second-year student in the SMArchS Architecture and Urbanism program in the Department of Architecture, and among the first student researcher assistants attached to the new initiative, is excited to have the chance to help build CDI from the ground up. “It’s been a great honor to be working with CDI’s amazing team for the last eight months,” she says. With her background in urban design and research interest in climate adaptation processes, Vijaykumar has been engaged in developing the Deep Listening Project’s white paper as part of MIT Climate Grand Challenges. She works alongside the initiative’s two other inaugural research assistants: Tomas Guarna, a master’s student in CMS, and Gabriela Degetau, a master’s student in the SMarchS Urbanism program, with Vijaykumar.“I was involved in analyzing the literature case study on community-based adaptation processes and co-writing the white paper,” Vijaykumar says, “and am currently working on conducting interviews with communities and institutions in India. Going forward, Gabriela and I will be presenting the white paper at gatherings such as the American Association of Geographers’ Conference in New York and the Climate and Social Impact Conference in Vancouver.”“The support and collaboration of the team have been incredibly empowering,” reflects Degetau, who will be co-presenting the white paper with Vijaykumar in New York and Vancouver, British Columbia. “Even when working from different countries and through Zoom, the experience has been unique and cohesive.”Both Degetau and Vijaykumar were selected as the first fellows of the Vuslat Foundation, organized by the MIT Transmedia Storytelling Initiative. In this one-year fellowship, they are seeking to co-design “climate imaginaries” through the Deep Listening Project. Vijaykumar’s work is also supported by the MIT Human Rights and Technology Fellowship for 2021-22, which guides her personal focus on what she refers to as the “dual sword” of technology and data colonialism in India.As the Deep Listening Project continues to develop a sustainable and balanced communication infrastructure, Lim reflects that a vital part of that is sharing how potential futures are envisioned. Both large institutions and individual communities imagine, separately — and hopefully soon together — how the human world will reshape itself to be viable in profoundly shifting climate conditions. “What are our possible futures?” asks Lim. “What are people dreaming?” 

      Story prepared by MIT SHASS CommunicationsEditorial and design director: Emily HiestandSenior communications associate: Alison Lanier More

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      in Energy

      MIT Energy Initiative launches the Future Energy Systems Center

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      The MIT Energy Initiative (MITEI) has launched a new research consortium — the Future Energy Systems Center — to address the climate crisis and the role energy systems can play in solving it. This integrated effort engages researchers from across all of MIT to help the global community reach its goal of net-zero carbon emissions. The center examines the accelerating energy transition and collaborates with industrial leaders to reform the world’s energy systems. The center is part of “Fast Forward: MIT’s Climate Action Plan for the Decade,” MIT’s multi-pronged effort announced last year to address the climate crisis.

      The Future Energy Systems Center investigates the emerging technology, policy, demographics, and economics reshaping the landscape of energy supply and demand. The center conducts integrative analysis of the entire energy system — a holistic approach essential to understanding the cross-sectorial impact of the energy transition.

      “We must act quickly to get to net-zero greenhouse gas emissions. At the same time, we have a billion people around the world with inadequate access, or no access, to electricity — and we need to deliver it to them,” says MITEI Director Robert C. Armstrong, the Chevron Professor of Chemical Engineering. “The Future Energy Systems Center combines MIT’s deep knowledge of energy science and technology with advanced tools for systems analysis to examine how advances in technology and system economics may respond to various policy scenarios.”  

      The overarching focus of the center is integrative analysis of the entire energy system, providing insights into the complex multi-sectorial transformations needed to alter the three major energy-consuming sectors of the economy — transportation, industry, and buildings — in conjunction with three major decarbonization-enabling technologies — electricity, energy storage and low-carbon fuels, and carbon management. “Deep decarbonization of our energy system requires an economy-wide perspective on the technology options, energy flows, materials flows, life-cycle emissions, costs, policies, and socioeconomics consequences,” says Randall Field, the center’s executive director. “A systems approach is essential in enabling cross-disciplinary teams to work collaboratively together to address the existential crisis of climate change.”

      Through techno-economic and systems-oriented research, the center analyzes these important interactions. For example:

      •  Increased reliance on variable renewable energy, such as wind and solar, and greater electrification of transportation, industry, and buildings will require expansion of demand management and other solutions for balancing of electricity supply and demand across these areas.

      •  Likewise, balancing supply and demand will require deploying grid-scale energy storage and converting the electricity to low-carbon fuels (hydrogen and liquid fuels), which can in turn play a vital role in the energy transition for hard-to-decarbonize segments of transportation, industry, and buildings.

      •  Carbon management (carbon dioxide capture from industry point sources and from air and oceans; utilization/conversion to valuable products; transport; storage) will also play a critical role in decarbonizing industry, electricity, and fuels — both as carbon-mitigation and negative-carbon solutions.

      As a member-supported research consortium, the center collaborates with industrial experts and leaders — from both energy’s consumer and supplier sides — to gain insights to help researchers anticipate challenges and opportunities of deploying technology at the scale needed to achieve decarbonization. “The Future Energy Systems Center gives us a powerful way to engage with industry to accelerate the energy transition,” says Armstrong. “Working together, we can better understand how our current technology toolbox can be more effectively put to use now to reduce emissions, and what new technologies and policies will ultimately be needed to reach net-zero.”

      A steering committee, made up of 11 MIT professors and led by Armstrong, selects projects to create a research program with high impact on decarbonization, while leveraging MIT strengths and addressing interests of center members in pragmatic and scalable solutions. “MIT — through our recently released climate action plan — is committed to moving with urgency and speed to help wring carbon dioxide emissions out the global economy to resolve the growing climate crisis,” says Armstrong. “We have no time to waste.”

      The center members to date are: AECI, Analog Devices, Chevron, ConocoPhillips, Copec, Dominion, Duke Energy, Enerjisa, Eneva, Eni, Equinor, Eversource, Exelon, ExxonMobil, Ferrovial, Iberdrola, IHI, National Grid, Raizen, Repsol, Rio Tinto, Shell, Tata Power, Toyota Research Institute, and Washington Gas. More

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      in Energy

      Seeing the plasma edge of fusion experiments in new ways with artificial intelligence

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      To make fusion energy a viable resource for the world’s energy grid, researchers need to understand the turbulent motion of plasmas: a mix of ions and electrons swirling around in reactor vessels. The plasma particles, following magnetic field lines in toroidal chambers known as tokamaks, must be confined long enough for fusion devices to produce significant gains in net energy, a challenge when the hot edge of the plasma (over 1 million degrees Celsius) is just centimeters away from the much cooler solid walls of the vessel.

      Abhilash Mathews, a PhD candidate in the Department of Nuclear Science and Engineering working at MIT’s Plasma Science and Fusion Center (PSFC), believes this plasma edge to be a particularly rich source of unanswered questions. A turbulent boundary, it is central to understanding plasma confinement, fueling, and the potentially damaging heat fluxes that can strike material surfaces — factors that impact fusion reactor designs.

      To better understand edge conditions, scientists focus on modeling turbulence at this boundary using numerical simulations that will help predict the plasma’s behavior. However, “first principles” simulations of this region are among the most challenging and time-consuming computations in fusion research. Progress could be accelerated if researchers could develop “reduced” computer models that run much faster, but with quantified levels of accuracy.

      For decades, tokamak physicists have regularly used a reduced “two-fluid theory” rather than higher-fidelity models to simulate boundary plasmas in experiment, despite uncertainty about accuracy. In a pair of recent publications, Mathews begins directly testing the accuracy of this reduced plasma turbulence model in a new way: he combines physics with machine learning.

      “A successful theory is supposed to predict what you’re going to observe,” explains Mathews, “for example, the temperature, the density, the electric potential, the flows. And it’s the relationships between these variables that fundamentally define a turbulence theory. What our work essentially examines is the dynamic relationship between two of these variables: the turbulent electric field and the electron pressure.”

      In the first paper, published in Physical Review E, Mathews employs a novel deep-learning technique that uses artificial neural networks to build representations of the equations governing the reduced fluid theory. With this framework, he demonstrates a way to compute the turbulent electric field from an electron pressure fluctuation in the plasma consistent with the reduced fluid theory. Models commonly used to relate the electric field to pressure break down when applied to turbulent plasmas, but this one is robust even to noisy pressure measurements.

      In the second paper, published in Physics of Plasmas, Mathews further investigates this connection, contrasting it against higher-fidelity turbulence simulations. This first-of-its-kind comparison of turbulence across models has previously been difficult — if not impossible — to evaluate precisely. Mathews finds that in plasmas relevant to existing fusion devices, the reduced fluid model’s predicted turbulent fields are consistent with high-fidelity calculations. In this sense, the reduced turbulence theory works. But to fully validate it, “one should check every connection between every variable,” says Mathews.

      Mathews’ advisor, Principal Research Scientist Jerry Hughes, notes that plasma turbulence is notoriously difficult to simulate, more so than the familiar turbulence seen in air and water. “This work shows that, under the right set of conditions, physics-informed machine-learning techniques can paint a very full picture of the rapidly fluctuating edge plasma, beginning from a limited set of observations. I’m excited to see how we can apply this to new experiments, in which we essentially never observe every quantity we want.”

      These physics-informed deep-learning methods pave new ways in testing old theories and expanding what can be observed from new experiments. David Hatch, a research scientist at the Institute for Fusion Studies at the University of Texas at Austin, believes these applications are the start of a promising new technique.

      “Abhi’s work is a major achievement with the potential for broad application,” he says. “For example, given limited diagnostic measurements of a specific plasma quantity, physics-informed machine learning could infer additional plasma quantities in a nearby domain, thereby augmenting the information provided by a given diagnostic. The technique also opens new strategies for model validation.”

      Mathews sees exciting research ahead.

      “Translating these techniques into fusion experiments for real edge plasmas is one goal we have in sight, and work is currently underway,” he says. “But this is just the beginning.”

      Mathews was supported in this work by the Manson Benedict Fellowship, Natural Sciences and Engineering Research Council of Canada, and U.S. Department of Energy Office of Science under the Fusion Energy Sciences program.​ More

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      in Environment

      J-PAL North America announces five new partnerships with state and local governments

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      J-PAL North America, a research center in MIT’s Department of Economics, has announced five new partnerships with state and local governments across the United States after a call for proposals in early February. Over the next year, these partners will work with J-PAL North America’s State and Local Innovation Initiative to evaluate policy-relevant questions critical to alleviating poverty in the United States.

      J-PAL North America will work with the Colorado Department of Higher Education, Ohio’s Franklin County Department of Job and Family Services, the New Mexico Public Education Department, Puerto Rico’s Department of Economic Development and Commerce, and Oregon’s Jackson County Fire District 3. Each partner will leverage support from J-PAL North America to develop randomized evaluations, which have the potential to reveal widely applicable lessons about which programs and policies are most effective. 

      State and local leaders are vital stakeholders in developing rigorous evidence in order to understand which policies and programs work to reduce poverty, and why. By supporting each government partner in developing these five evaluation projects, the voice of policymakers and practitioners will remain a central part of the research process. Each of this year’s selected projects seeks to address policy concerns that have been identified by state and local governments in J-PAL North America’s State and Local Learning Agenda as key areas for addressing barriers to mobility from poverty, including environment, education, economic security, and housing stability. 

      One project looks to mitigate the emission of carbon co-pollutants, which cause disproportionately high rates of health problems among communities experiencing poverty. 

      Oregon’s Jackson County Fire District 3 will investigate the impact of subsidies on the uptake of wildfire risk reduction activities in a county severely affected by wildfires. “Wildfires have become more prevalent, longer lasting, and more destructive in Oregon and across the western United States. We also know that wildfire is disproportionately impacting our most vulnerable populations,” says Bob Horton, fire chief of Jackson County Fire District 3. “With technical support from JPAL North America’s staff and this grant funding, we will devise the most current and effective strategy, deeply rooted in the evidence, to drive the take-up of home-hardening behaviors — methods to increase a home’s resistance to fire — and lower the risk to homes when faced with wildfire.” 

      This project is in alignment with the priorities of J-PAL’s Environment, Energy, and Climate Change sector and its agenda for catalyzing more policy-relevant research on adaptation strategies. 

      Policymakers and researchers have also identified programs aimed at increasing opportunity within education as a key priority for evaluation. In partnering with J-PAL North America, the Colorado Department of Higher Education will assess the impact of My Colorado Journey, an online platform available to all Coloradans that provides information on education, training, and career pathways. 

      “As Colorado builds back stronger from the pandemic, we know that education and workforce development are at the center of Colorado’s recovery agenda,” shares Executive Director Angie Paccione of the Colorado Department of Education. “Platforms like My Colorado Journey are key to supporting the education, training, and workforce exploration of Coloradans of any age. With support from J-PAL North America, we can better understand how to effectively serve Coloradans, further enhance this vital platform, and continue to build a Colorado for all.”

      Similarly, the New Mexico Public Education Department proposes their intervention within the context of New Mexico’s community school state initiative. They will look at the impact of case management and cash transfers on students at risk of multiple school transfers throughout their education, which include children who are experiencing homelessness, migrant children, children in the foster care system, and military-connected children, among others. “New Mexico is delighted to partner with J-PAL North America to explore visionary pathways to success for highly mobile students,” says New Mexico Public Education Secretary (Designate) Kurt Steinhaus. “We look forward to implementing and testing innovative solutions, such as cash transfers, that can expand our current nationally recognized community schools strategy. Together, we aim to find solutions that meet the needs of highly mobile students and families who lack stable housing.”

      Another key priority for the intersection of policy and research is economic security — fostering upward mobility by providing individuals with resources to promote stable incomes and increase standards of living. By adjusting caseworker employment services to better align with local needs, Puerto Rico’s Department of Economic Development and Commerce (DEDC) looks to understand how individualized services can impact employment and earnings. 

      “The commitment of the government of Puerto Rico is to develop human resources to the highest quality standards,” says DEDC Secretary Cidre Miranda, whose statement was provided in Spanish and translated. “For the DEDC, it is fundamental to contribute to the development of initiatives like this one, because they have the objective of forging the future professionals that Puerto Rico requires and needs.” J-PAL North America’s partnership with DEDC has the potential to provide valuable lessons for other state and local programs also seeking to promote economic security. 

      Finally, Ohio’s Franklin County Department of Job and Family Services seeks to understand the impact of an eviction prevention workshop in a county with eviction rates that are higher than both the state and national average. “Stable housing should not be a luxury, but for far too many Franklin County families it has become one,” Deputy Franklin County Administrator Joy Bivens says. “We need to view our community’s affordable housing crisis through both a social determinants of health and racial equity lens. We are grateful for the opportunity to partner with J-PAL North America to ensure we are pursuing research-based interventions that, yes, address immediate housing needs, but also provide long-term stability so they can climb the economic ladder.”

      Franklin County Department of Job and Family Services’ evaluation aligns with policymaker and researcher interests to ensure safe and affordable housing. This partnership will have great potential to not only improve resources local to Franklin County, but, along with each of the other four agencies, can also provide a useful model for other government agencies facing similar challenges.For more information on state and local policy priorities, see J-PAL North America’s State and Local Learning Agenda. To learn more about the State and Local Innovation Initiative, please visit the Initiative webpage or contact Initiative Manager Louise Geraghty. More

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      in Environment

      SMART researchers develop method for early detection of bacterial infection in crops

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      Researchers from the Disruptive and Sustainable Technologies for Agricultural Precision (DiSTAP) Interdisciplinary Research Group (IRG) ofSingapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, and their local collaborators from Temasek Life Sciences Laboratory (TLL), have developed a rapid Raman spectroscopy-based method for detecting and quantifying early bacterial infection in crops. The Raman spectral biomarkers and diagnostic algorithm enable the noninvasive and early diagnosis of bacterial infections in crop plants, which can be critical for the progress of plant disease management and agricultural productivity.

      Due to the increasing demand for global food supply and security, there is a growing need to improve agricultural production systems and increase crop productivity. Globally, bacterial pathogen infection in crop plants is one of the major contributors to agricultural yield losses. Climate change also adds to the problem by accelerating the spread of plant diseases. Hence, developing methods for rapid and early detection of pathogen-infected crops is important to improve plant disease management and reduce crop loss.

      The breakthrough by SMART and TLL researchers offers a faster and more accurate method to detect bacterial infection in crop plants at an earlier stage, as compared to existing techniques. The new results appear in a paper titled “Rapid detection and quantification of plant innate immunity response using Raman spectroscopy” published in the journal Frontiers in Plant Science.

      “The early detection of pathogen-infected crop plants is a significant step to improve plant disease management,” says Chua Nam Hai, DiSTAP co-lead principal investigator, professor, TLL deputy chair, and co-corresponding author. “It will allow the fast and selective removal of pathogen load and curb the further spread of disease to other neighboring crops.”

      Traditionally, plant disease diagnosis involves a simple visual inspection of plants for disease symptoms and severity. “Visual inspection methods are often ineffective, as disease symptoms usually manifest only at relatively later stages of infection, when the pathogen load is already high and reparative measures are limited. Hence, new methods are required for rapid and early detection of bacterial infection. The idea would be akin to having medical tests to identify human diseases at an early stage, instead of waiting for visual symptoms to show, so that early intervention or treatment can be applied,” says MIT Professor Rajeev Ram, who is a DiSTAP principal investigator and co-corresponding author on the paper.

      While existing techniques, such as current molecular detection methods, can detect bacterial infection in plants, they are often limited in their use. Molecular detection methods largely depend on the availability of pathogen-specific gene sequences or antibodies to identify bacterial infection in crops; the implementation is also time-consuming and nonadaptable for on-site field application due to the high cost and bulky equipment required, making it impractical for use in agricultural farms.

      “At DiSTAP, we have developed a quantitative Raman spectroscopy-based algorithm that can help farmers to identify bacterial infection rapidly. The developed diagnostic algorithm makes use of Raman spectral biomarkers and can be easily implemented in cloud-based computing and prediction platforms. It is more effective than existing techniques as it enables accurate identification and early detection of bacterial infection, both of which are crucial to saving crop plants that would otherwise be destroyed,” explains Gajendra Pratap Singh, scientific director and principal investigator at DiSTAP and co-lead author.

      A portable Raman system can be used on farms and provides farmers with an accurate and simple yes-or-no response when used to test for the presence of bacterial infections in crops. The development of this rapid and noninvasive method could improve plant disease management and have a transformative impact on agricultural farms by efficiently reducing agricultural yield loss and increasing productivity.

      “Using the diagnostic algorithm method, we experimented on several edible plants such as choy sum,” says DiSTAP and TLL principal investigator and co-corresponding author Rajani Sarojam. “The results showed that the Raman spectroscopy-based method can swiftly detect and quantify innate immunity response in plants infected with bacterial pathogens. We believe that this technology will be beneficial for agricultural farms to increase their productivity by reducing their yield loss due to plant diseases.”

      The researchers are currently working on the development of high-throughput, custom-made portable or hand-held Raman spectrometers that will allow Raman spectral analysis to be quickly and easily performed on field-grown crops.

      SMART and TLL developed and discovered the diagnostic algorithm and Raman spectral biomarkers. TLL also confirmed and validated the detection method through mutant plants. The research is carried out by SMART and supported by the National Research Foundation of Singapore under its Campus for Research Excellence And Technological Enterprise (CREATE) program.

      SMART was established by MIT and the NRF in 2007. The first entity in CREATE developed by NRF, SMART serves as an intellectual and innovation hub for research interactions between MIT and Singapore, undertaking cutting-edge research projects in areas of interest to both Singapore and MIT. SMART currently comprises an Innovation Center and five IRGs: Antimicrobial Resistance, Critical Analytics for Manufacturing Personalized-Medicine, DiSTAP, Future Urban Mobility, and Low Energy Electronic Systems. SMART research is funded by the NRF under the CREATE program.

      Led by Professor Michael Strano of MIT and Professor Chua Nam Hai of Temasek Lifesciences Laboratory, the DiSTAP program addresses deep problems in food production in Singapore and the world by developing a suite of impactful and novel analytical, genetic, and biomaterial technologies. The goal is to fundamentally change how plant biosynthetic pathways are discovered, monitored, engineered, and ultimately translated to meet the global demand for food and nutrients. Scientists from MIT, TTL, Nanyang Technological University, and National University of Singapore are collaboratively developing new tools for the continuous measurement of important plant metabolites and hormones for novel discovery, deeper understanding and control of plant biosynthetic pathways in ways not yet possible, especially in the context of green leafy vegetables; leveraging these new techniques to engineer plants with highly desirable properties for global food security, including high-yield density production, and drought and pathogen resistance; and applying these technologies to improve urban farming. More

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      in Energy

      Radio-frequency wave scattering improves fusion simulations

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      In the quest for fusion energy, understanding how radio-frequency (RF) waves travel (or “propagate”) in the turbulent interior of a fusion furnace is crucial to maintaining an efficient, continuously operating power plant. Transmitted by an antenna in the doughnut-shaped vacuum chamber common to magnetic confinement fusion devices called tokamaks, RF waves heat the plasma fuel and drive its current around the toroidal interior. The efficiency of this process can be affected by how the wave’s trajectory is altered (or “scattered”) by conditions within the chamber.

      Researchers have tried to study these RF processes using computer simulations to match the experimental conditions. A good match would validate the computer model, and raise confidence in using it to explore new physics and design future RF antennas that perform efficiently. While the simulations can accurately calculate how much total current is driven by RF waves, they do a poor job at predicting where exactly in the plasma this current is produced.

      Now, in a paper published in the Journal of Plasma Physics, MIT researchers suggest that the models for RF wave propagation used for these simulations have not properly taken into account the way these waves are scattered as they encounter dense, turbulent filaments present in the edge of the plasma known as the “scrape-off layer” (SOL).

      Bodhi Biswas, a graduate student at the Plasma Science and Fusion Center (PSFC) under the direction of Senior Research Scientist Paul Bonoli, School of Engineering Distinguished Professor of Engineering Anne White, and Principal Research Scientist Abhay Ram, who is the paper’s lead author. Ram compares the scattering that occurs in this situation to a wave of water hitting a lily pad: “The wave crashing with the lily pad will excite a secondary, scattered wave that makes circular ripples traveling outward from the plant. The incoming wave has transferred energy to the scattered wave. Some of this energy is reflected backwards (in relation to the incoming wave), some travels forwards, and some is deflected to the side. The specifics all depend on the particular attributes of the wave, the water, and the lily pad. In our case, the lily pad is the plasma filament.”

      Until now, researchers have not properly taken these filaments and the scattering they provoke into consideration when modeling the turbulence inside a tokamak, leading to an underestimation of wave scattering. Using data from PSFC tokamak Alcator C-Mod, Biswas shows that using the new method of modeling RF-wave scattering from SOL turbulence provides results considerably different from older models, and a much better match to experiments. Notably, the “lower-hybrid” wave spectrum, crucial to driving plasma current in a steady-state tokamak, appears to scatter asymmetrically, an important effect not accounted for in previous models.

      Biswas’s advisor Paul Bonoli is well acquainted with traditional “ray-tracing” models, which evaluate a wave trajectory by dividing it into a series of rays. He has used this model, with its limitations, for decades in his own research to understand plasma behavior. Bonoli says he is pleased that “the research results in Bodhi’s doctoral thesis have refocused attention on the profound effect that edge turbulence can have on the propagation and absorption of radio-frequency power.”

      Although ray-tracing treatments of scattering do not fully capture all the wave physics, a “full-wave” model that does would be prohibitively expensive. To solve the problem economically, Biswas splits his analysis into two parts: (1) using ray tracing to model the trajectory of the wave in the tokamak assuming no turbulence, while (2) modifying this ray-trajectory with the new scattering model that accounts for the turbulent plasma filaments.

      “This scattering model is a full-wave model, but computed over a small region and in a simplified geometry so that it is very quick to do,” says Biswas. “The result is a ray-tracing model that, for the first time, accounts for full-wave scattering physics.”

      Biswas notes that this model bridges the gap between simple scattering models that fail to match experiment and full-wave models that are prohibitively expensive, providing reasonable accuracy at low cost.

      “Our results suggest scattering is an important effect, and that it must be taken into account when designing future RF antennas. The low cost of our scattering model makes this very doable.”

      “This is exciting progress,” says Syun’ichi Shiraiwa, staff research physicist at the Princeton Plasma Physics Laboratory. “I believe that Bodhi’s work provides a clear path to the end of a long tunnel we have been in. His work not only demonstrates that the wave scattering, once accurately accounted for, can explain the experimental results, but also answers a puzzling question: why previous scattering models were incomplete, and their results unsatisfying.”

      Work is now underway to apply this model to more plasmas from Alcator C-Mod and other tokamaks. Biswas believes that this new model will be particularly applicable to high-density tokamak plasmas, for which the standard ray-tracing model has been noticeably inaccurate. He is also excited that the model could be validated by DIII-D National Fusion Facility, a fusion experiment on which the PSFC collaborates.

      “The DIII-D tokamak will soon be capable of launching lower hybrid waves and measuring its electric field in the scrape-off layer. These measurements could provide direct evidence of the asymmetric scattering effect predicted by our model.” More

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      in Environment

      MIT collaborates with Biogen on three-year, $7 million initiative to address climate, health, and equity

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      MIT and Biogen have announced that they will collaborate with the goal to accelerate the science and action on climate change to improve human health. This collaboration is supported by a three-year, $7 million commitment from the company and the Biogen Foundation. The biotechnology company, headquartered in Cambridge, Massachusetts’ Kendall Square, discovers and develops therapies for people living with serious neurological diseases.

      “We have long believed it is imperative for Biogen to make the fight against climate change central to our long-term corporate responsibility commitments. Through this collaboration with MIT, we aim to identify and share innovative climate solutions that will deliver co-benefits for both health and equity,” says Michel Vounatsos, CEO of Biogen. “We are also proud to support the MIT Museum, which promises to make world-class science and education accessible to all, and honor Biogen co-founder Phillip A. Sharp with a dedication inside the museum that recognizes his contributions to its development.”

      Biogen and the Biogen Foundation are supporting research and programs across a range of areas at MIT.

      Advancing climate, health, and equity

      The first such effort involves new work within the MIT Joint Program on the Science and Policy of Global Change to establish a state-of-the-art integrated model of climate and health aimed at identifying targets that deliver climate and health co-benefits.

      “Evidence suggests that not all climate-related actions deliver equal health benefits, yet policymakers, planners, and stakeholders traditionally lack the tools to consider how decisions in one arena impact the other,” says C. Adam Schlosser, deputy director of the MIT Joint Program. “Biogen’s collaboration with the MIT Joint Program — and its support of a new distinguished Biogen Fellow who will develop the new climate/health model — will accelerate our efforts to provide decision-makers with these tools.”

      Biogen is also supporting the MIT Technology and Policy Program’s Research to Policy Engagement Initiative to infuse human health as a key new consideration in decision-making on the best pathways forward to address the global climate crisis, and bridge the knowledge-to-action gap by connecting policymakers, researchers, and diverse stakeholders. As part of this work, Biogen is underwriting a distinguished Biogen Fellow to advance new research on climate, health, and equity.

      “Our work with Biogen has allowed us to make progress on key questions that matter to human health and well-being under climate change,” says Noelle Eckley Selin, who directs the MIT Technology and Policy Program and is a professor in the MIT Institute for Data, Systems, and Society and the Department of Earth, Atmospheric and Planetary Sciences. “Further, their support of the Research to Policy Engagement Initiative helps all of our research become more effective in making change.”

      In addition, Biogen has joined 13 other companies in the MIT Climate and Sustainability Consortium (MCSC), which is supporting faculty and student research and developing impact pathways that present a range of actionable steps that companies can take — within and across industries — to advance progress toward climate targets.

      “Biogen joining the MIT Climate and Sustainability Consortium represents our commitment to working with member companies across a diverse range of industries, an approach that aims to drive changes swift and broad enough to match the scale of the climate challenge,” says Jeremy Gregory, executive director of the MCSC. “We are excited to welcome a member from the biotechnology space and look forward to harnessing Biogen’s perspectives as we continue to collaborate and work together with the MIT community in exciting and meaningful ways.”

      Making world-class science and education available to MIT Museum visitors

      Support from Biogen will honor Nobel laureate, MIT Institute professor, and Biogen co-founder Phillip A. Sharp with a named space inside the new Kendall Square location of the MIT Museum, set to open in spring 2022. Biogen also is supporting one of the museum’s opening exhibitions, “Essential MIT,” with a section focused on solving real-world problems such as climate change. It is also providing programmatic support for the museum’s Life Sciences Maker Engagement Program.

      “Phil has provided fantastic support to the MIT Museum for more than a decade as an advisory board member and now as board chair, and he has been deeply involved in plans for the new museum at Kendall Square,” says John Durant, the Mark R. Epstein (Class of 1963) Director of the museum. “Seeing his name on the wall will be a constant reminder of his key role in this development, as well as a mark of our gratitude.”

      Inspiring and empowering the next generation of scientists

      Biogen funding is also being directed to engage the next generation of scientists through support for the Biogen-MIT Biotech in Action: Virtual Lab, a program designed to foster a love of science among diverse and under-served student populations.

      Biogen’s support is part of its Healthy Climate, Healthy Lives initiative, a $250 million, 20-year commitment to eliminate fossil fuels across its operations and collaborate with renowned institutions to advance the science of climate and health and support under-served communities. Additional support is provided by the Biogen Foundation to further its long-standing focus on providing students with equitable access to outstanding science education. More

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      Researchers design sensors to rapidly detect plant hormones

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      Researchers from the Disruptive and Sustainable Technologies for Agricultural Precision (DiSTAP) interdisciplinary research group of the Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, and their local collaborators from Temasek Life Sciences Laboratory (TLL) and Nanyang Technological University (NTU), have developed the first-ever nanosensor to enable rapid testing of synthetic auxin plant hormones. The novel nanosensors are safer and less tedious than existing techniques for testing plants’ response to compounds such as herbicide, and can be transformative in improving agricultural production and our understanding of plant growth.

      The scientists designed sensors for two plant hormones — 1-naphthalene acetic acid (NAA) and 2,4-dichlorophenoxyacetic acid (2,4-D) — which are used extensively in the farming industry for regulating plant growth and as herbicides, respectively. Current methods to detect NAA and 2,4-D cause damage to plants, and are unable to provide real-time in vivo monitoring and information.

      Based on the concept of corona phase molecular recognition (​​CoPhMoRe) pioneered by the Strano Lab at SMART DiSTAP and MIT, the new sensors are able to detect the presence of NAA and 2,4-D in living plants at a swift pace, providing plant information in real-time, without causing any harm. The team has successfully tested both sensors on a number of everyday crops including pak choi, spinach, and rice across various planting mediums such as soil, hydroponic, and plant tissue culture.

      Explained in a paper titled “Nanosensor Detection of Synthetic Auxins In Planta using Corona Phase Molecular Recognition” published in the journal ACS Sensors, the research can facilitate more efficient use of synthetic auxins in agriculture and hold tremendous potential to advance plant biology study.

      “Our CoPhMoRe technique has previously been used to detect compounds such as hydrogen peroxide and heavy-metal pollutants like arsenic — but this is the first successful case of CoPhMoRe sensors developed for detecting plant phytohormones that regulate plant growth and physiology, such as sprays to prevent premature flowering and dropping of fruits,” says DiSTAP co-lead principal investigator Michael Strano, the Carbon P. Dubbs Professor of Chemical Engineering at MIT. “This technology can replace current state-of-the-art sensing methods which are laborious, destructive, and unsafe.”

      Of the two sensors developed by the research team, the 2,4-D nanosensor also showed the ability to detect herbicide susceptibility, enabling farmers and agricultural scientists to quickly find out how vulnerable or resistant different plants are to herbicides without the need to monitor crop or weed growth over days. “This could be incredibly beneficial in revealing the mechanism behind how 2,4-D works within plants and why crops develop herbicide resistance,” says DiSTAP and TLL Principal Investigator Rajani Sarojam.

      “Our research can help the industry gain a better understanding of plant growth dynamics and has the potential to completely change how the industry screens for herbicide resistance, eliminating the need to monitor crop or weed growth over days,” says Mervin Chun-Yi Ang, a research scientist at DiSTAP. “It can be applied across a variety of plant species and planting mediums, and could easily be used in commercial setups for rapid herbicide susceptibility testing, such as urban farms.”

      NTU Professor Mary Chan-Park Bee Eng says, “Using nanosensors for in planta detection eliminates the need for extensive extraction and purification processes, which saves time and money. They also use very low-cost electronics, which makes them easily adaptable for commercial setups.”

      The team says their research can lead to future development of real-time nanosensors for other dynamic plant hormones and metabolites in living plants as well.

      The development of the nanosensor, optical detection system, and image processing algorithms for this study was done by SMART, NTU, and MIT, while TLL validated the nanosensors and provided knowledge of plant biology and plant signaling mechanisms. The research is carried out by SMART and supported by NRF under its Campus for Research Excellence And Technological Enterprise (CREATE) program.

      DiSTAP is one of the five interdisciplinary research roups in SMART. The DiSTAP program addresses deep problems in food production in Singapore and the world by developing a suite of impactful and novel analytical, genetic, and biosynthetic technologies. The goal is to fundamentally change how plant biosynthetic pathways are discovered, monitored, engineered, and ultimately translated to meet the global demand for food and nutrients.

      Scientists from MIT, TTL, NTU, and National University of Singapore (NUS) are collaboratively developing new tools for the continuous measurement of important plant metabolites and hormones for novel discovery, deeper understanding and control of plant biosynthetic pathways in ways not yet possible, especially in the context of green leafy vegetables; leveraging these new techniques to engineer plants with highly desirable properties for global food security, including high yield density production, drought, and pathogen resistance and biosynthesis of high-value commercial products; developing tools for producing hydrophobic food components in industry-relevant microbes; developing novel microbial and enzymatic technologies to produce volatile organic compounds that can protect and/or promote growth of leafy vegetables; and applying these technologies to improve urban farming.

      DiSTAP is led by Michael Strano and Singapore co-lead principal investigator Professor Chua Nam Hai.

      SMART was established by MIT, in partnership with the NRF, in 2007. SMART, the first entity in CREATE, serves as an intellectual and innovation hub for research interactions between MIT and Singapore, undertaking cutting-edge research projects in areas of interest to both. SMART currently comprises an Innovation Center and five interdisciplinary research groups: Antimicrobial Resistance (AMR), Critical Analytics for Manufacturing Personalized-Medicine (CAMP), DiSTAP, Future Urban Mobility (FM), and Low Energy Electronic Systems (LEES). SMART is funded by the NRF. More