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    Assay determines the percentage of Omicron, other variants in Covid wastewater

    Wastewater monitoring emerged amid the Covid-19 pandemic as an effective and noninvasive way to track a viral outbreak, and advances in the technology have enabled researchers to not only identify but also quantify the presence of particular variants of concern (VOCs) in wastewater samples.

    Last year, researchers with the Singapore-MIT Alliance for Research and Technology (SMART) made the news for developing a quantitative assay for the Alpha variant of SARS-CoV-2 in wastewater, while also working on a similar assay for the Delta variant. Previously, conventional wastewater detection methods could only detect the presence of SARS-CoV-2 viral material in a sample, without identifying the variant of the virus.

    Now, a team at SMART has developed a quantitative RT-qPCR assay that can detect the Omicron variant of SARS-CoV-2. This type of assay enables wastewater surveillance to accurately trace variant dynamics in any given community or population, and support and inform the implementation of appropriate public health measures tailored according to the specific traits of a particular viral pathogen.

    The capacity to count and assess particular VOCs is unique to SMART’s open-source assay, and allows researchers to accurately determine displacement trends in a community. Hence, the new assay can reveal what proportion of SARS-CoV-2 virus circulating in a community belongs to a particular variant. This is particularly significant, as different SARS-CoV-2 VOCs — Alpha, Delta, Omicron, and their offshoots — have emerged at various points throughout the pandemic, each causing a new wave of infections to which the population was more susceptible.

    The team’s new allele-specific RT-qPCR assay is described in a paper, “Rapid displacement of SARS-CoV-2 variant Delta by Omicron revealed by allele-specific PCR in wastewater,” published this month in Water Research. Senior author on the work is Eric Alm, professor of biological engineering at MIT and a principal investigator in the Antimicrobial Resistance (AMR) interdisciplinary research group within SMART, MIT’s research enterprise in Singapore. Co-authors include researchers from Nanyang Technological University (NTU), Singapore National University (NUS), MIT, Singapore Centre for Environmental Life Sciences Engineering (SCELSE), and Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna (IZSLER) in Italy.

    Omicron overtakes delta within three weeks in Italy study

    In their study, SMART researchers found that the increase in booster vaccine population coverage in Italy concurred with the complete displacement of the Delta variant by the Omicron variant in wastewater samples obtained from the Torbole Casaglia wastewater treatment plant, with a catchment size of 62,722 people. Taking less than three weeks, the rapid pace of this displacement can be attributed to Omicron’s infection advantage over the previously dominant Delta in vaccinated individuals, which may stem from Omicron’s more efficient evasion of vaccination-induced immunity.

    “In a world where Covid-19 is endemic, the monitoring of VOCs through wastewater surveillance will be an effective tool for the tracking of variants circulating in the community and will play an increasingly important role in guiding public health response,” says paper co-author Federica Armas, a senior postdoc at SMART AMR. “This work has demonstrated that wastewater surveillance can be used to quickly and quantitatively trace VOCs present in a community.”

    Wastewater surveillance vital for future pandemic responses

    As the global population becomes increasingly vaccinated and exposed to prior infections, nations have begun transitioning toward the classification of SARS-CoV-2 as an endemic disease, rolling back active clinical surveillance toward decentralized antigen rapid tests, and consequently reducing sequencing of patient samples. However, SARS-CoV-2 has been shown to produce novel VOCs that can swiftly emerge and spread rapidly across populations, displacing previously dominant variants of the virus. This was observed when Delta displaced Alpha across the globe after the former’s emergence in India in December 2020, and again when Omicron displaced Delta at an even faster rate following its discovery in South Africa in November 2021. The continuing emergence of novel VOCs therefore necessitates continued vigilance on the monitoring of circulating SARS-CoV-2 variants in communities.

    In a separate review paper on wastewater surveillance titled “Making Waves: Wastewater Surveillance of SARS-CoV-2 in an Endemic Future,” published in the journal Water Research, SMART researchers and collaborators found that the utility of wastewater surveillance in the near future could include 1) monitoring the trend of viral loads in wastewater for quantified viral estimates circulating in a community; 2) sampling of wastewater at the source — e.g., taking samples from particular neighborhoods or buildings — for pinpointing infections in neighborhoods and at the building level; 3) integrating wastewater and clinical surveillance for cost-efficient population surveillance; and 4) genome sequencing wastewater samples to track circulating and emerging variants in the population.

    “Our experience with SARS-CoV-2 has shown that clinical testing can often only paint a limited picture of the true extent of an outbreak or pandemic. With Covid-19 becoming prevalent and with the anticipated emergence of further variants of concern, qualitative and quantitative data from wastewater surveillance will be an integral component of a cost- and resource-efficient public health surveillance program, empowering authorities to make more informed policy decisions,” adds corresponding author Janelle Thompson, associate professor at SCELSE and NTU. “Our review provides a roadmap for the wider deployment of wastewater surveillance, with opportunities and challenges that, if addressed, will enable us to not only better manage Covid-19, but also future-proof societies for other viral pathogens and future pandemics.”

    In addition, the review suggests that future wastewater research should comply with a set of standardized wastewater processing methods to reduce inconsistencies in wastewater data toward improving epidemiological inference. Methods developed in the context of SARS-CoV-2 and its analyses could be of invaluable benefit for future wastewater monitoring work on discovering emerging zoonotic pathogens — pathogens that can be transmitted from animals to humans — and for early detection of future pandemics.

    Furthermore, far from being confined to SARS-CoV-2, wastewater surveillance has already been adapted for use in combating other viral pathogens. Another paper from September 2021 described an advance in the development of effective wastewater surveillance for dengue, Zika, and yellow fever viruses, with SMART researchers successfully measuring decay rates of these medically significant arboviruses in wastewater. This was followed by another review paper by SMART published in July 2022 that explored current progress and future challenges and opportunities in wastewater surveillance for arboviruses. These developments represent an important first step toward establishing arbovirus wastewater surveillance, which would help policymakers in Singapore and beyond make better informed and more targeted public health measures in controlling arbovirus outbreaks such as dengue, which is a significant public health concern in Singapore.

    “Our learnings from using wastewater surveillance as a key tool over the course of Covid-19 will be crucial in helping researchers develop similar methods to monitor and tackle other viral pathogens and future pandemics,” says Lee Wei Lin, first author of the latest SMART paper and research scientist at SMART AMR. “Wastewater surveillance has already shown promising utility in helping to fight other viral pathogens, including some of the world’s most prevalent mosquito-borne diseases, and there is significant potential for the technology to be adapted for use against other infectious viral diseases.”

    The research is carried out by SMART and its collaborators at SCELSE, NTU, and NUS, co-led by Professor Eric Alm (SMART and MIT) and Associate Professor Janelle Thompson (SCELSE and NTU), and is supported by Singapore’sNational Research Foundation (NRF) under its Campus for Research Excellence And Technological Enterprise (CREATE) program. The research is part of an initiative funded by the NRF to develop sewage-based surveillance for rapid outbreak detection and intervention in Singapore.

    SMART was established by MIT in partnership with the NRF in 2007. SMART is the first entity in CREATE developed by NRF and 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 Centre and five interdisciplinary research groups: AMR, Critical Analytics for Manufacturing Personalized-Medicine, Disruptive & Sustainable Technologies for Agricultural Precision, Future Urban Mobility, and Low Energy Electronic Systems.

    The AMR IRG is a translational research and entrepreneurship program that tackles the growing threat of antimicrobial resistance. By leveraging talent and convergent technologies across Singapore and MIT, they tackle AMR head-on by developing multiple innovative and disruptive approaches to identify, respond to, and treat drug-resistant microbial infections. Through strong scientific and clinical collaborations, our goal is to provide transformative, holistic solutions for Singapore and the world. More

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    These neurons have food on the brain

    A gooey slice of pizza. A pile of crispy French fries. Ice cream dripping down a cone on a hot summer day. When you look at any of these foods, a specialized part of your visual cortex lights up, according to a new study from MIT neuroscientists.

    This newly discovered population of food-responsive neurons is located in the ventral visual stream, alongside populations that respond specifically to faces, bodies, places, and words. The unexpected finding may reflect the special significance of food in human culture, the researchers say. 

    “Food is central to human social interactions and cultural practices. It’s not just sustenance,” says Nancy Kanwisher, the Walter A. Rosenblith Professor of Cognitive Neuroscience and a member of MIT’s McGovern Institute for Brain Research and Center for Brains, Minds, and Machines. “Food is core to so many elements of our cultural identity, religious practice, and social interactions, and many other things that humans do.”

    The findings, based on an analysis of a large public database of human brain responses to a set of 10,000 images, raise many additional questions about how and why this neural population develops. In future studies, the researchers hope to explore how people’s responses to certain foods might differ depending on their likes and dislikes, or their familiarity with certain types of food.

    MIT postdoc Meenakshi Khosla is the lead author of the paper, along with MIT research scientist N. Apurva Ratan Murty. The study appears today in the journal Current Biology.

    Visual categories

    More than 20 years ago, while studying the ventral visual stream, the part of the brain that recognizes objects, Kanwisher discovered cortical regions that respond selectively to faces. Later, she and other scientists discovered other regions that respond selectively to places, bodies, or words. Most of those areas were discovered when researchers specifically set out to look for them. However, that hypothesis-driven approach can limit what you end up finding, Kanwisher says.

    “There could be other things that we might not think to look for,” she says. “And even when we find something, how do we know that that’s actually part of the basic dominant structure of that pathway, and not something we found just because we were looking for it?”

    To try to uncover the fundamental structure of the ventral visual stream, Kanwisher and Khosla decided to analyze a large, publicly available dataset of full-brain functional magnetic resonance imaging (fMRI) responses from eight human subjects as they viewed thousands of images.

    “We wanted to see when we apply a data-driven, hypothesis-free strategy, what kinds of selectivities pop up, and whether those are consistent with what had been discovered before. A second goal was to see if we could discover novel selectivities that either haven’t been hypothesized before, or that have remained hidden due to the lower spatial resolution of fMRI data,” Khosla says.

    To do that, the researchers applied a mathematical method that allows them to discover neural populations that can’t be identified from traditional fMRI data. An fMRI image is made up of many voxels — three-dimensional units that represent a cube of brain tissue. Each voxel contains hundreds of thousands of neurons, and if some of those neurons belong to smaller populations that respond to one type of visual input, their responses may be drowned out by other populations within the same voxel.

    The new analytical method, which Kanwisher’s lab has previously used on fMRI data from the auditory cortex, can tease out responses of neural populations within each voxel of fMRI data.

    Using this approach, the researchers found four populations that corresponded to previously identified clusters that respond to faces, places, bodies, and words. “That tells us that this method works, and it tells us that the things that we found before are not just obscure properties of that pathway, but major, dominant properties,” Kanwisher says.

    Intriguingly, a fifth population also emerged, and this one appeared to be selective for images of food.

    “We were first quite puzzled by this because food is not a visually homogenous category,” Khosla says. “Things like apples and corn and pasta all look so unlike each other, yet we found a single population that responds similarly to all these diverse food items.”

    The food-specific population, which the researchers call the ventral food component (VFC), appears to be spread across two clusters of neurons, located on either side of the FFA. The fact that the food-specific populations are spread out between other category-specific populations may help explain why they have not been seen before, the researchers say.

    “We think that food selectivity had been harder to characterize before because the populations that are selective for food are intermingled with other nearby populations that have distinct responses to other stimulus attributes. The low spatial resolution of fMRI prevents us from seeing this selectivity because the responses of different neural population get mixed in a voxel,” Khosla says.

    “The technique which the researchers used to identify category-sensitive cells or areas is impressive, and it recovered known category-sensitive systems, making the food category findings most impressive,” says Paul Rozin, a professor of psychology at the University of Pennsylvania, who was not involved in the study. “I can’t imagine a way for the brain to reliably identify the diversity of foods based on sensory features. That makes this all the more fascinating, and likely to clue us in about something really new.”

    Food vs non-food

    The researchers also used the data to train a computational model of the VFC, based on previous models Murty had developed for the brain’s face and place recognition areas. This allowed the researchers to run additional experiments and predict the responses of the VFC. In one experiment, they fed the model matched images of food and non-food items that looked very similar — for example, a banana and a yellow crescent moon.

    “Those matched stimuli have very similar visual properties, but the main attribute in which they differ is edible versus inedible,” Khosla says. “We could feed those arbitrary stimuli through the predictive model and see whether it would still respond more to food than non-food, without having to collect the fMRI data.”

    They could also use the computational model to analyze much larger datasets, consisting of millions of images. Those simulations helped to confirm that the VFC is highly selective for images of food.

    From their analysis of the human fMRI data, the researchers found that in some subjects, the VFC responded slightly more to processed foods such as pizza than unprocessed foods like apples. In the future they hope to explore how factors such as familiarity and like or dislike of a particular food might affect individuals’ responses to that food.

    They also hope to study when and how this region becomes specialized during early childhood, and what other parts of the brain it communicates with. Another question is whether this food-selective population will be seen in other animals such as monkeys, who do not attach the cultural significance to food that humans do.

    The research was funded by the National Institutes of Health, the National Eye Institute, and the National Science Foundation through the MIT Center for Brains, Minds, and Machines. More

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    Using seismology for groundwater management

    As climate change increases the number of extreme weather events, such as megadroughts, groundwater management is key for sustaining water supply. But current groundwater monitoring tools are either costly or insufficient for deeper aquifers, limiting our ability to monitor and practice sustainable management in populated areas.

    Now, a new paper published in Nature Communications bridges seismology and hydrology with a pilot application that uses seismometers as a cost-effective way to monitor and map groundwater fluctuations.

    “Our measurements are independent from and complementary to traditional observations,” says Shujuan Mao PhD ’21, lead author on the paper. “It provides a new way to dictate groundwater management and evaluate the impact of human activity on shaping underground hydrologic systems.”

    Mao, currently a Thompson Postdoctoral Fellow in the Geophysics department at Stanford University, conducted most of the research during her PhD in MIT’s Department of Earth, Atmospheric and Planetary Sciences (EAPS). Other contributors to the paper include EAPS department chair and Schlumberger Professor of Earth and Planetary Sciences Robert van der Hilst, as well as Michel Campillo and Albanne Lecointre from the Institut des Sciences de la Terre in France.

    While there are a few different methods currently used for measuring groundwater, they all come with notable drawbacks. Hydraulic heads, which drill through the ground and into the aquifers, are expensive and can only give limited information at the specific location they’re placed. Noninvasive techniques based on satellite- or airborne-sensing lack the sensitivity and resolution needed to observe deeper depths.

    Mao proposes using seismometers, which are instruments used to measure ground vibrations such as the waves produced by earthquakes. They can measure seismic velocity, which is the propagation speed of seismic waves. Seismic velocity measurements are unique to the mechanical state of rocks, or the ways rocks respond to their physical environment, and can tell us a lot about them.

    The idea of using seismic velocity to characterize property changes in rocks has long been used in laboratory-scale analysis, but only recently have scientists been able to measure it continuously in realistic-scale geological settings. For aquifer monitoring, Mao and her team associate the seismic velocity with the hydraulic property, or the water content, in the rocks.

    Seismic velocity measurements make use of ambient seismic fields, or background noise, recorded by seismometers. “The Earth’s surface is always vibrating, whether due to ocean waves, winds, or human activities,” she explains. “Most of the time those vibrations are really small and are considered ‘noise’ by traditional seismologists. But in recent years scientists have shown that the continuous noise records in fact contain a wealth of information about the properties and structures of the Earth’s interior.”

    To extract useful information from the noise records, Mao and her team used a technique called seismic interferometry, which analyzes wave interference to calculate the seismic velocity of the medium the waves pass through. For their pilot application, Mao and her team applied this analysis to basins in the Metropolitan Los Angeles region, an area suffering from worsening drought and a growing population.

    By doing this, Mao and her team were able to see how the aquifers changed physically over time at a high resolution. Their seismic velocity measurements verified measurements taken by hydraulic heads over the last 20 years, and the images matched very well with satellite data. They could also see differences in how the storage areas changed between counties in the area that used different water pumping practices, which is important for developing water management protocol.

    Mao also calls using the seismometers a “buy-one get-one free” deal, since seismometers are already in use for earthquake and tectonic studies not just across California, but worldwide, and could help “avoid the expensive cost of drilling and maintaining dedicated groundwater monitoring wells,” she says.

    Mao emphasizes that this study is just the beginning of exploring possible applications of seismic noise interferometry in this way. It can be used to monitor other near-surface systems, such as geothermal or volcanic systems, and Mao is currently applying it to oil and gas fields. But in places like California currently experiencing megadroughts, and who rely on groundwater for a large portion of their water needs, this kind of information is key for sustainable water management.

    “It’s really important, especially now, to characterize these changes in groundwater storage so that we can promote data-informed policymaking to help them thrive under increasing water stress,” she says.

    This study was funded, in part, by the European Research Council, with additional support from the Thompson Fellowship at Stanford University. More

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    From bridges to DNA: civil engineering across disciplines

    How is DNA like a bridge? This question is not a riddle or logic game, it is a concern of Johannes Kalliauer’s doctoral thesis.

    As a student at TU Wien in Austria, Kalliauer was faced with a monumental task: combining approaches from civil engineering and theoretical physics to better understand the forces that act on DNA.

    Kalliauer, now a postdoc at the MIT Concrete Sustainability Hub, says he modeled DNA as though it were a beam, using molecular dynamics principles to understand its structural properties.

    “The mechanics of very small objects, like DNA helices, and large ones, like bridges, are quite similar. Each may be understood in terms of Newtonian mechanics. Forces and moments act on each system, subjecting each to deformations like twisting, stretching, and warping,” says Kalliauer.

    As a 2020 article from TU Wien noted, Kalliauer observed a counterintuitive behavior when examining DNA at an atomic level. Unlike a typical spring which becomes less coiled as it is stretched, DNA was observed to become more wound as its length was increased. 

    In situations like these where conventional logic appears to break down, Kalliauer relies on the intuition he has gained as an engineer.

    “To understand this strange behavior in DNA, I turned to a fundamental approach: I examined what was the same about DNA and macroscopic structures and what was different. Civil engineers use methods and calculations which have been developed over centuries and which are very similar to the ones I employed for my thesis,” Kalliauer explains. 

    As Kalliauer continues, “Structural engineering is an incredibly versatile discipline. If you understand it, you can understand atomistic objects like DNA strands and very large ones like galaxies. As a researcher, I rely on it to help me bring new viewpoints to fields like biology. Other civil engineers can and should do the same.”

    Kalliauer, who grew up in a small town in Austria, has spent his life applying unconventional approaches like this across disciplines. “I grew up in a math family. While none of us were engineers, my parents instilled an appreciation for the discipline in me and my two older sisters.”

    After middle school, Kalliauer attended a technical school for civil engineering, where he discovered a fascination for mechanics. He also worked on a construction site to gain practical experience and see engineering applied in a real-world context.

    Kalliauer studied out of interest intensely, working upwards of 100 hours per week to better understand coursework in university. “I asked teachers and professors many questions, often challenging their ideas. Above everything else, I needed to understand things for myself. Doing well on exams was a secondary concern.”

    In university, he studied topics ranging from car crash testing to concrete hinges to biology. As a new member of the CSHub, he is studying how floods may be modeled with the statistical physics-based model provided by lattice density functional theory.

    In doing this, he builds on the work of past and present CSHub researchers like Elli Vartziotis and Katerina Boukin. 

    “It’s important to me that this research has a real impact in the world. I hope my approach to engineering can help researchers and stakeholders understand how floods propagate in urban contexts, so that we may make cities more resilient,” he says. More

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    Power, laws, and planning

    Think about almost any locale where people live: Why does it have its current built form? Why do people reside where they do? No doubt there are quirks of geography or history involved. But places are also shaped by money, politics, and the law — in short, by power.

    Studying those issues is the work of Justin Steil, an associate professor in MIT’s Department of Urban Studies and Planning. Steil’s research largely focuses on cities, drawing out the ways that politics and the law sustain social divisions on the ground.

    Or, as Steil says, “The biggest theme that runs through my work is: How is power exercised through control of space, and access to particular places? What are the spatial and social and legal processes of inclusion and exclusion that generate or can address inequality, generally?”

    Those mechanisms can be found all around. Wealthy suburbs with large minimum lot sizes restrict growth and access to high-ranking school districts; gated communities take that process of separation even more literally; and many U.S. metro areas have island-like jurisdictions that have seceded from larger surrounding cities. City residential geography often displays the legacies of redlining (discrimination laws) and even century-old mob violence incidents used to curb integration.

    “I really like to try to get down to pinpoint what are the precise laws, ordinances, and policies, and specific social processes, which continue to generate inequality,” says Steil. “And ask: How can we change that to generate greater access to resources and opportunities?”

    While investigating questions that range widely across the theme of power and space, Steil has published many research articles and book chapters while helping edit volumes on the subject. For his research and teaching, Steil was awarded tenure at MIT earlier this year.

    Combining law and urban planning

    Steil grew up in New York City, where his surroundings helped him realize how much urban policy and laws matters. He attended Harvard University as an undergraduate, majored in African American Studies, and spent a summer as a student in South Africa in 1998, just as the country was launching its new democracy.

    “That had a big impact,” Steil says. “Both seeing the power of grassroots organizing and social movements, to overthrow this white supremacist government, but also to understand how the apartheid system had worked, the role of law and of space — how the landscape and built environment had been consciously designed to keep people separate and unequal.”

    Between graduating from college and finishing his PhD, Steil embarked on an odyssey of jobs in the nonprofit sector and graduate work on multiple academic disciplines, touching on pressing social topics. Steil worked at the City School in Boston, a youth leadership program; the Food Project, a Massachusetts agricultural program; two nonprofits in Juarez, Mexico, focused on preventing domestic violence and on environmental justice; and the New Economy Project in New York, studying predatory lending. In the midst of this, Steil took time to earn a master’s in city design and social science from the London School of Economics.

    “I learned so much from studying city design, and really enjoyed it,” Steil says of that program. “But I also realized that my personal strengths are not in design. … I was more interested and more capable in the social science realm.”

    With that in mind, Steil was accepted into a joint PhD and JD program at Columbia University, combining a law degree with doctoral studies in urban planning.

    “So much of urban planning is determined by law, by property law and constitutional law,” Steil says. “I felt that if I wanted to research and teach these things, I needed to understand the law.”

    After finishing his law school and doctoral courses, Steil’s dissertation, written under the guidance of the late Peter Marcuse, examined the policy responses of two sets of paired towns — two in Nebraska, two in Pennsylvania — to immigration. In each of the states, one town was far more receptive to immigrants than the other. Steil concluded that the immigration-receptive towns had more local organizations and civic connections that reached across economic classes; instead of being more atomized, they were more cohesive socially, and willing to create more economic opportunities for those willing to work for them.

    Without such ties, Steil notes, people can end up “seeing things as a zero-sum game, instead of seeing the possibilities for new residents to enliven and enrich and contribute to a community.”

    By contrast, he adds, “sustained collaboration across what people might have seen as differences toward a shared goal created opportunities for a dialogue about immigration, its challenges and benefits, to imagine a future that could include these new neighbors. There was an emphasis in some of those towns on being communities where people were proud of working hard, and respected other people who did that.”

    From PhD to EMT

    Steil joined the MIT faculty after completing his PhD in 2015, and has continued to produce work on an array of issues about policy, law, and inclusion. Some of that work bears directly on contemporary housing policy. With Nicholas Kelly PhD ’21, Lawrence Vale, the Ford Professor of Urban Design and Planning at MIT, and Maia Woluchem MCP ’19, he co-edited the volume “Furthering Fair Housing” (Temple University Press, 2021), which analyzes recent political clashes over federal fair-housing policy.

    Some of Steil’s other work is more historically oriented. He has published multiple papers on race and housing in the early 20th century, when both violence against Blacks and race-based laws kept many cities segregated. As Steil notes, U.S. laws have been rewritten so as to be no longer explicitly race-based. However, he notes, “That legacy, entrenched into the built environment, is very durable.”

    There are also significant effects stemming from the local, property-tax-based system of funding education in the U.S., another policy approach that effectively leaves many Americans living in very different realms of metro areas.

    “By fragmenting [funding] at the local level and then having resources redistributed within these small jurisdictions, it creates powerful incentives for wealthy households and individuals to use land-use law and other law to exclude people,” Steil says. “That’s partly why we have this tremendous crisis of housing affordability today, as well as deep inequalities in educational opportunities.”

    Since arriving at MIT, Steil has also taught on these topics extensively. The undergraduate classes he teaches include an introduction to housing and community development, a course on land use and civil rights law, another course on land use and environmental law, and one on environmental justice.

    “What an amazing privilege it is to be here at MIT, and learn every day, from our students, our undergraduate and graduate students, and from my colleagues,” Steil says. “It makes it fun to be here.”

    As if Steil didn’t have enough on his plate, he takes part in still another MIT-based activity: For the last few years, he has worked as an Emergency Medical Technician (EMT) for MIT’s volunteer corps, having received his training from MIT’s EMT students since arriving on campus.

    As Steil describes it, his volunteer work has been a process of “starting out at the bottom of the totem pole as a beginning EMT and being trained by other students and progressing with my classmates.”

    It is “amazing,” he adds, to work with students and see “their dedication to this service and to MIT and to Cambridge and Boston, how hard they work and how capable they are, and what a strong community gets formed through that.” More

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    Passion projects prepare to launch

    At the start of the sixth annual MITdesignX “Pitch Day,” Svafa Grönfeldt, the program’s faculty director, made a point of noting that many of the teams about to showcase their ventures had changed direction multiple times on their projects.

    “Some of you have pivoted more times than we can count,” Grönfeldt said in her welcoming address. “This makes for a fantastic idea because you have the courage to actually question if your ideas are the right ones. In the true spirit of human-centered design, you actually try to understand the problem before you solve it!”

    MITdesignX, a venture accelerator based in the School of Architecture and Planning, is an interdisciplinary academic program operating at the intersection of design, business, and technology. The launching pad for startups focuses on applying design to engage complex problems and discovering high-impact solutions to address critical challenges facing the future of design, cities, and the global environment. The program reflects a new approach to entrepreneurship education, drawing on business theory, design thinking, and entrepreneurial practices.

    At this year’s event, 11 teams pitched their ideas before a panel of three judges, an on-site audience, and several hundred viewers watching the livestream event.

    “These teams have been working hard on solutions,” Gilad Rosenzweig, executive director of MITdesignX, told the audience. “They’re not designing solutions for people. They’re designing solutions with people.”

    Solving urgent problems

    Some of the issues addressed by the teams were lack of adequate housing, endangered food supplies, toxic pollution, and threats to democracy. Many of the students were inspired to create their venture because of problems they encountered in their careers or concerns impacting their home countries. The 25 team members in this year’s cohort represent work on five continents.

    “We’re very proud of our international representation because we want our impact to be felt outside of Cambridge,” said Rosenzweig. “We want to make an impact around the country and around the world.”

    John Devine, a JD/Masters in City Planning (MCP) candidate in the Department of Urban Studies and Planning, created a new software platform, “Civic Atlas.” In his pitch, he explained that having worked in city planning in Texas for a decade before coming to MIT, he saw how difficult it was for communities to wade through and comprehend the dense, technical language in city council agendas. Zoning cases, bond projects, and transportation investments are just some of the significant projects that affect a community, and Devine saw many instances where decisions were being made without community awareness as a result of inadequate communication.

    “When communities don’t have access to clear, accessible information, we have poor outcomes,” Devine told the audience. “I realized the solution to this is to make accessible and inclusive digital experiences that really facilitate communication between planners, developers, and members of the community.”

    Seizing the opportunity, Devine taught himself how to code and built a fully automated web tool for the Dallas City Planning Commission. The tool checks the city’s website daily and translates documents into interactive maps, allowing residents to view plans in their community. Devine is starting in Dallas, but says that there are more than 800 cities across the United States with a population greater than 50,000 that present an excellent target market for this product.

    “I think cities have a ton to gain from working with us, including building trust and communication with constituents — something that’s vital for city halls to function,” says Devine.

    Next steps for the cohort

    The judges for this year’s event — Yscaira Jimenez, founder of LaborX; Magnus Ingi Oskarsson of Eyrir Venture Management in Reykjavik, Iceland; and Frank Pawlitschek, director, HPI School of Entrepreneurship in Potsdam, Germany — deliberated to identify the best teams based on three criteria: most innovative, greatest impact, and best presentation. The competition was so strong that the judges decided to award two honorable mentions. This year’s awardees are:

    Atacama, a company that is developing biomaterials to replace plastics, received the “Most Innovative” award and $5,000. The company accelerates the adoption of renewable and sustainable materials through machine learning and robotics, ensuring performance, cost-effectiveness, and environmental impact. Its founders are Paloma Gonzalez-Rojas PhD ’21, Jose Tomas Dominguez, and Jose Antonio Gonzalez.
    Grain Box, a startup focusing on optimizing the post-harvest supply chain for smallholder farmers in rural India, was awarded “Greatest Impact” and a $5,000 award. Its founders are Mona Vijaykumar SMArchS ’22 and T.R. (Radha) Radhakrishnan.
    Lamarr.AI, which offers an autonomous solution for rapid building envelope diagnostics using AI and cloud computing, was recognized for “Best Presentation” and awarded $2,500. Its founders are Norhan Bayomi PhD ’22, Tarek Rakha, PhD ’15, and John E. Fernandez ’85, professor and director of the MIT Environmental Solutions Initiative.
    Honorable Mention: “News Detective,” a platform combining moderated, professional fact-checking and AI to fight misinformation on social media, created by rising senior Ilana Strauss.
    Honorable Mention: “La Firme,” which digitizes architectural services to reach families who self-build their homes in Latin America, created by Mora Orensanz MCP ’21, Fiorella Belli Ferro MCP ’21, and rising senior Raul Briceno Brignole.
    Following the award ceremony, Rosenzweig told the students that the process was not yet over because MITdesignX faculty and staff would always be available to continue guiding and supporting their journeys as they launch and grow their ventures.

    “You’re going to become alumni of MITdesignX,” he said. “You’re going to be joining over 50 teams that are working around the world, making an impact. They’re being recognized as leaders in innovation. They’re being recognized by investors who are helping them make an impact. This is your next step.” More

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    New J-WAFS-led project combats food insecurity

    Today the Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) at MIT announced a new research project, supported by Community Jameel, to tackle one of the most urgent crises facing the planet: food insecurity. Approximately 276 million people worldwide are severely food insecure, and more than half a million face famine conditions.     To better understand and analyze food security, this three-year research project will develop a comprehensive index assessing countries’ food security vulnerability, called the Jameel Index for Food Trade and Vulnerability. Global changes spurred by social and economic transitions, energy and environmental policy, regional geopolitics, conflict, and of course climate change, can impact food demand and supply. The Jameel Index will measure countries’ dependence on global food trade and imports and how these regional-scale threats might affect the ability to trade food goods across diverse geographic regions. A main outcome of the research will be a model to project global food demand, supply balance, and bilateral trade under different likely future scenarios, with a focus on climate change. The work will help guide policymakers over the next 25 years while the global population is expected to grow, and the climate crisis is predicted to worsen.    

    The work will be the foundational project for the J-WAFS-led Food and Climate Systems Transformation Alliance, or FACT Alliance. Formally launched at the COP26 climate conference last November, the FACT Alliance is a global network of 20 leading research institutions and stakeholder organizations that are driving research and innovation and informing better decision-making for healthy, resilient, equitable, and sustainable food systems in a rapidly changing climate. The initiative is co-directed by Greg Sixt, research manager for climate and food systems at J-WAFS, and Professor Kenneth Strzepek, climate, water, and food specialist at J-WAFS.

    The dire state of our food systems

    The need for this project is evidenced by the hundreds of millions of people around the globe currently experiencing food shortages. While several factors contribute to food insecurity, climate change is one of the most notable. Devastating extreme weather events are increasingly crippling crop and livestock production around the globe. From Southwest Asia to the Arabian Peninsula to the Horn of Africa, communities are migrating in search of food. In the United States, extreme heat and lack of rainfall in the Southwest have drastically lowered Lake Mead’s water levels, restricting water access and drying out farmlands. 

    Social, political, and economic issues also disrupt food systems. The effects of the Covid-19 pandemic, supply chain disruptions, and inflation continue to exacerbate food insecurity. Russia’s invasion of Ukraine is dramatically worsening the situation, disrupting agricultural exports from both Russia and Ukraine — two of the world’s largest producers of wheat, sunflower seed oil, and corn. Other countries like Lebanon, Sri Lanka, and Cuba are confronting food insecurity due to domestic financial crises.

    Few countries are immune to threats to food security from sudden disruptions in food production or trade. When an enormous container ship became lodged in the Suez Canal in March 2021, the vital international trade route was blocked for three months. The resulting delays in international shipping affected food supplies around the world. These situations demonstrate the importance of food trade in achieving food security: a disaster in one part of the world can drastically affect the availability of food in another. This puts into perspective just how interconnected the earth’s food systems are and how vulnerable they remain to external shocks. 

    An index to prepare for the future of food

    Despite the need for more secure food systems, significant knowledge gaps exist when it comes to understanding how different climate scenarios may affect both agricultural productivity and global food supply chains and security. The Global Trade Analysis Project database from Purdue University, and the current IMPACT modeling system from the International Food Policy Research Institute (IFPRI), enable assessments of existing conditions but cannot project or model changes in the future.

    In 2021, Strzepek and Sixt developed an initial Food Import Vulnerability Index (FIVI) as part of a regional assessment of the threat of climate change to food security in the Gulf Cooperation Council states and West Asia. FIVI is also limited in that it can only assess current trade conditions and climate change threats to food production. Additionally, FIVI is a national aggregate index and does not address issues of hunger, poverty, or equity that stem from regional variations within a country.

    “Current models are really good at showing global food trade flows, but we don’t have systems for looking at food trade between individual countries and how different food systems stressors such as climate change and conflict disrupt that trade,” says Greg Sixt of J-WAFS and the FACT Alliance. “This timely index will be a valuable tool for policymakers to understand the vulnerabilities to their food security from different shocks in the countries they import their food from. The project will also illustrate the stakeholder-guided, transdisciplinary approach that is central to the FACT Alliance,” Sixt adds.

    Phase 1 of the project will support a collaboration between four FACT Alliance members: MIT J-WAFS, Ethiopian Institute of Agricultural Research, IFPRI (which is also part of the CGIAR network), and the Martin School at the University of Oxford. An external partner, United Arab Emirates University, will also assist with the project work. This first phase will build on Strzepek and Sixt’s previous work on FIVI by developing a comprehensive Global Food System Modeling Framework that takes into consideration climate and global changes projected out to 2050, and assesses their impacts on domestic production, world market prices, and national balance of payments and bilateral trade. The framework will also utilize a mixed-modeling approach that includes the assessment of bilateral trade and macroeconomic data associated with varying agricultural productivity under the different climate and economic policy scenarios. In this way, consistent and harmonized projections of global food demand and supply balance, and bilateral trade under climate and global change can be achieved. 

    “Just like in the global response to Covid-19, using data and modeling are critical to understanding and tackling vulnerabilities in the global supply of food,” says George Richards, director of Community Jameel. “The Jameel Index for Food Trade and Vulnerability will help inform decision-making to manage shocks and long-term disruptions to food systems, with the aim of ensuring food security for all.”

    On a national level, the researchers will enrich the Jameel Index through country-level food security analyses of regions within countries and across various socioeconomic groups, allowing for a better understanding of specific impacts on key populations. The research will present vulnerability scores for a variety of food security metrics for 126 countries. Case studies of food security and food import vulnerability in Ethiopia and Sudan will help to refine the applicability of the Jameel Index with on-the-ground information. The case studies will use an IFPRI-developed tool called the Rural Investment and Policy Analysis model, which allows for analysis of urban and rural populations and different income groups. Local capacity building and stakeholder engagement will be critical to enable the use of the tools developed by this research for national-level planning in priority countries, and ultimately to inform policy.  Phase 2 of the project will build on phase 1 and the lessons learned from the Ethiopian and Sudanese case studies. It will entail a number of deeper, country-level analyses to assess the role of food imports on future hunger, poverty, and equity across various regional and socioeconomic groups within the modeled countries. This work will link the geospatial national models with the global analysis. A scholarly paper is expected to be submitted to show findings from this work, and a website will be launched so that interested stakeholders and organizations can learn more information. More

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    Helping cassava farmers by extending crop life

    The root vegetable cassava is a major food staple in dozens of countries across the world. Drought-resistant, nutritious, and tasty, it has also become a major source of income for small-scale, rural farmers in places like West Africa and Southeast Asia.

    But the utility of cassava has always been limited by its short postharvest shelf life of two to three days. That puts millions of farmers who rely on the crop in a difficult position. The farmers can’t plant more than they can sell quickly in local markets, and they’re often forced to sell below market prices because buyers know the harvest will spoil rapidly. As a result, cassava farmers are among the world’s poorest people.

    Now the startup CassVita is buying cassava directly from farmers and applying a patent-pending biotechnology to extend its shelf life to 18 months. The approach has the potential to transform economies in rural, impoverished regions where millions of families rely on the crop for income.

    CassVita tells farmers how much cassava the company will buy each month, and processes the cassava at a manufacturing facility in Cameroon. It currently sells the first version of its product as a powdered food to people in Cameroon and to West African immigrants in the U.S.

    But CassVita founder and CEO Pelkins Ajanoh ’18 says the future of the company will revolve around its next product: a cassava-based flour that can act as a direct substitute for wheat. The wheat substitute would dramatically broaden CassVita’s target market to include the fast-growing, trillion-dollar healthy food market.

    Ajanoh says CassVita is currently able to increase farmers’ incomes by about 400 percent through its purchases.

    “Our objective is to leverage proprietary technology to offer a healthier and better-tasting alternative to wheat while creating prosperity for local farmers,” Ajanoh says. “We’re hoping to tap into this huge market while empowering farmers, all by minimizing spoilage and incentivizing farmers to plant more.”

    Gaining confidence to help a community

    While growing up in Cameroon, Ajanoh’s parents always emphasized the importance of education for him and his three siblings. But Ajanoh lost his father when he was 13, and his mother moved to the U.S. a year later to help provide for the family. During that time, Ajanoh lived with his grandmother, a cassava farmer. For many years, Ajanoh watched his grandmother harvest cassava without making any lasting financial gains. He remembers feeling powerless as his grandmother struggled to pay for things like diabetes medication.

    Then Ajanoh earned the top marks on the national exams that Cameroonian students take before college. After high school, he joined his mother in the U.S. and came to MIT to study mechanical engineering. Once on campus, Ajanoh says he had lunch with new people all the time to learn from them.

    “I’d never had this community of intellectuals — and they were from all over the world — so I soaked up as much as I could,” Ajanoh says. “That sparked an interest in entrepreneurship, because MIT is super entrepreneurial. Everyone’s thinking of starting something cool.”

    Ajanoh also got a confidence boost during an internship in the summer after his junior year, when he created self-driving technology for General Motors that was eventually patented.

    “It made me realize I could do something really valuable for the world, and by the end of that internship I was thinking, ‘Now I want to solve a problem in my community,’” he says.

    Returning to the crop he knew well, Ajanoh received a series of grants from the MIT Sandbox Innovation Fund to experiment with ways to extend the shelf life of cassava. In the summer of 2018, the MIT-Africa program sponsored three MIT students to fly to Cameroon with him to participate in internships with the company.

    Today CassVita partners with development banks to help farmers get loans to buy the cassava sticks used for planting. Ajanoh says CassVita decided on a powdered food for its first product because it requires less marketing to sell to West Africans, who are familiar with the dish. Now the company is working on a cassava flour that it will market to all consumers looking for healthy alternatives to wheat that can be used in pastries and other baked goods.

    “Cassava makes sense as a global substitute to wheat because it’s gluten free, grain free, nut free, and it also helps with glucose regulation, to normalize blood sugar levels, to lower triglycerides, so the health benefits are exciting,” Ajanoh says. “But the farmers were still living in poverty, so if we could solve the shelf-life problem then we could empower these farmers to offer healthier wheat alternatives to the global market.”

    The project has taken on additional urgency now that the war in Ukraine is limiting that country’s wheat and grain exports, raising prices, and heightening food insecurity in regions around the globe.

    Showing the value of helping farmers

    Ajanoh says the majority of people farming cassava are women, and he says the challenges related to cassava’s shelf life have contributed to gender inequities in many communities. In fact, of the roughly 500 farmers CassVita works with in Cameroon, 95 percent are women.

    “That has always excited me because I was raised by women, so working on something that could empower women in their communities and give them authority is fulfilling,” Ajanoh says.

    Ajanoh has already heard from farmers who have been able to send their children to school for the first time because of improved financial situations. Now, as CassVita continues to scale, Ajanoh wants to stay focused on the technology that enables these new business models.

    “We’re evolving into a food technology company,” Ajanoh says. “We prefer to focus on leveraging technology to impact lives and improve outcomes in these communities. Right now, we’re going all the way to consumers because this is an opportunity the Nestles and the Unilevers of the world won’t pick up because the market doesn’t make sense to them yet. So, we have to build this company and show them the value.” More