NSF Expeditions in Computing for
Computational Decarbonization of Societal Infrastructures at Mesoscales (NSF CoDec)
Unifying, transforming, and accelerating societal decarbonization across domains using computational techniques.
About
NSF CoDec will foster a new field of computational decarbonization in an interdisciplinary collaboration spanning 6 universities, led by the University of Massachusetts Amherst. We draw on a variety of expertise in theory, AI, systems, energy systems, built environment, and economics.
Research
NSF CoDec research focuses on optimizing carbon-efficiency (amount of work done per unit of emissions) to reduce the lifecycle carbon and greenhouse gas (GHG) emissions of computing and societal infrastructure using computational and data-driven techniques.
Education
NSF CoDec will train the next-generation of researchers and practitioners at the intersection of computation and sustainability. We will develop new courses and concentrations at the undergraduate level, and a model research-driven graduate curriculum in collaboration with ACM SIGEnergy.
Latest News
NSF CoDec at National Academies Workshop on Data Center Emissions
Andrew A Chien, Line Roald, and Prashant Shenoy participated in the Implications of Artificial Intelligence-Related Data Center Electricity Use and Emissions Workshop hosted by the National Academies Roundtable on Artificial Intelligence and Climate Change.
NSF CoDec at LBNL Data Center Load Flexibility Workshop
Andrew A Chien participated in the Data Center Load Flexibility Workshop at Lawrence Berkeley National Laboratory.
Andrew A Chien gives a keynote at the Green AI Summit
Andrew A Chien gave a keynote talk entitled “How AI Can Get the Power It Needs” at the Green AI Summit at Harvard.
