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
Andrew A Chien gives a keynote at the NSF Workshop on A Holistic AI Computing Framework
Andrew A Chien gave a keynote talk entitled “Reduce Datacenter Operational Carbon and leverage that Efficiency to reduce the Water-use and Embodied Carbon”.
Andrew A Chien appears on WBEZ to discuss how cloud computing causes environmental harm
Andrew A Chien appeared on the WBEZ (Chicago PBS) program Reset with Sasha Ann Simons, as part of a panel entitled “How Cloud Computing Causes Environmental Harm”.
NSF CoDec at HotCarbon ’24
Varsha Rao presented “Understanding the Operational Carbon Footprint of Storage Reliability and Management”, and Walid Hanafy presented “Data-driven Algorithm Selection for Carbon-Aware Scheduling” at the HotCarbon Workshop on Sustainable Computer Systems.
