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Find out more about our funded projects and research results
All Projects
134 results
2026
Lyophilized single-tube argonaute-based multiplex detection of waterborne viruses
Stacy Springs, MIT's Center for Biomedical Innovation, Food Supply Chain, Analytics and Sensing Initiative at MIT Sloan
Engineering thermo-responsive plant growth-promoting bacteria to induce pre-emptive stomatal cooling in crops
Benedetto Marelli, Department of Civil and Environmental Engineering
Redox electrodialysis metathesis systems for high-yield water recovery
Fikile Brushett, Department of Chemical Engineering
Machine learning-guided ligand design of PolyMOC gels for PFAS removal
Heather J. Kulik, Department of Chemical Engineering, Department of Chemistry
Jeremiah Johnson, Department of Chemistry
Protecting community groundwater security: Network-based planning for data centers in water-stressed India
Saurabh Amin, Department of Civil and Environmental Engineering
Deepjyoti Deka, MIT Energy Initiative
Climate resilient greenhouses in water scarce and inarable environments
Evelyn Wang, Department of Mechanical Engineering
Continuous methane sensing in cattle to accelerate climate-smart feed development
Giovanni Traverso, Department of Mechanical Engineering
Efficient multi-stage distillation
Gang Chen, Department of Mechanical Engineering
From agricultural waste to water risk - Nitrosamine formation in Laguna Lake (Philippines)
Desirée Plata, Department of Civil and Environmental Engineering
Glen Andrew de Vera, Department of Civil and Environmental Engineering
2025
Bench-top NMR with dynamic nuclear polarization for ultra-sensitive PFAS detection
Timothy Swager, Department of Chemistry
Robert Guy Griffin
Toward nitrogen-fixing crops: Improving nitrogenase activity in non-diazotrophic hosts
Daniel Suess, Department of Chemistry
Stable, low-cost engineered proteins as biofungicides
Hadley D. Sikes, Department of Chemical Engineering
Food-safe, wireless RFID sensor on smart packaging for pH monitoring in the cold chain
Sanjay Sarma, Department of Mechanical Engineering
Fluorine-free materials to trap and destroy PFAS
Jeremiah Johnson, Department of Chemistry
Toward sustainable food protein manufacturing
Peter Dedon, Department of Biological Engineering
Optimal subsidy design: Application to food assistance programs
Ali Aouad, MIT Sloan School of Management
Global access to safe drinking water in resource-constrained and water scarce areas
Xuanhe Zhao, Department of Mechanical Engineering
AI enabled spectral fingerprinting of pathogens for rapid food and water screening
Loza Tadesse, Department of Mechanical Engineering
Incentive design to promote long-term adoption of sustainable practices by smallholder farmers in India
Y. Karen Zheng, Sloan School of Management
Affordable, accurate, detailed climate projections for climate-resilient agriculture in India
Sai Ravela, Department of Earth, Atmospheric, and Planetary Sciences, Director of the MIT Earth Signals and Systems Group
Anamitra Saha, Department of Earth, Atmospheric, and Planetary Sciences, Earth Signals and Systems Group
Food security in Africa through microbiome engineering
Christopher Voigt, Department of Biological Engineering
David L. Des Marais, Department of Civil and Environmental Engineering
Tami Lieberman, Department of Civil and Environmental Engineering, Institute for Medical Science and Engineering
Darcy McRose, Civil and Environmental Engineering
Tavneet Suri, MIT Sloan School of Management
Sixian You, Department of Electrical Engineering and Computer Science
2024
High-efficiency atmospheric water harvesting enabled by vibrational actuation
Svetlana Boriskina, Mechanical Engineering Department
Empowering Indigenous communities: A framework for climate resilience and migration planning in La Guajira, Colombia
Sarah Williams, Department of Urban Studies and Planning
Eran Ben - Joseph, Department of Urban Studies and Planning
Gabriella Carolini, Department of Urban Studies and Planning
Janelle Knox-Hayes, Department of Urban Studies & Planning
National crop type maps of India using deep learning and street view imagery
Sherrie Wang, Department of Mechanical Engineering, Institute of Data, Systems, and Society