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
Line Roald quoted in IEEE Spectrum on $500B Stargate Project for AI
Line Roald is quoted in an article titled “Experts Weigh in on $500B Stargate Project for AI: The Trump-announced initiative to build data centers will have big impacts” in IEEE Spectrum.
Andrew A Chien gives a talk at the Stanford Energy Transition Seminar
Andrew A Chien gave a talk titled “Can Generative AI get the power it demands? And without reversing Grid Decarbonization?” at the Stanford Energy Transition Seminar.
Priya Donti and Andrew A Chien quoted in ScienceNews on environmental impacts of generative AI
Priya Donti and Andrew A Chien are quoted in an article titled “Generative AI is an energy hog. Is the tech worth the environmental cost?” in ScienceNews.
