Computing Challenges to Humanity: Climate
Created in fall 2021, this task force will lead CCC activities related to climate driven extreme events and the opportunities and impact of computing, both as a contributor and a means to attenuate the current situation.
CCC Chair Emerita
University of Colorado Boulder
Liz Bradley received the S.B., S.M., and Ph.D. degrees from the Massachusetts Institute of Technology in 1983, 1986, and 1992, respectively, including a one-year leave of absence to compete in the 1988 Olympic Games. She has been with the Department of Computer Science at the University of Colorado at Boulder since January of 1993; she also holds appointments and affiliations with a variety of engineering departments. Her current research activities focus on nonlinear dynamics and chaos, as well as scientific computation and AI. She is a member of Eta Kappa Nu, Tau Beta Pi, and Sigma Xi, as well as the recipient of a National Young Investigator award, a Packard Fellowship, and the 1999 College of Engineering teaching award.
University of California, Santa Barbara
Chandra Krintz is a Professor of Computer Science at the University of California, Santa Barbara (UCSB). She joined the UCSB faculty in 2001 after receiving her M.S. and Ph.D. degrees in Computer Science from the UC San Diego. Chandra’s research focuses on programming and distributed systems, including techniques that improve performance, reduce energy consumption, and automate development and deployment of software. Recently, her work has focused on the intersection of IoT, edge and cloud computing, and data analytics with applications in farming, ranching, and conservation science (cf SmartFarm and WTB). Chandra has mentored over 70 undergraduate and graduate students, has published numerous research articles, participates in efforts to broaden participation in computing, and is the progenitor of the AppScale project. Chandra’s efforts have been recognized with a NSF CAREER award, the CRA-W Anita Borg Early Career Award (BECA), and with a UCSB Sustainability Champion and Academic Senate Distinguished Teaching Award.
University of New Mexico
Melanie Moses is a Professor of Computer Science at the University of New Mexico and an External Faculty Member at the Santa Fe Institute. She studies complex biological and information systems, the scaling properties of networks, and the general rules governing the acquisition of energy and information in complex adaptive systems. She models distributed search processes in ant colonies and immune systems, and she designs bio-inspired, scalable swarms of robots that can autonomously cooperate and adapt to environmental conditions. She draws insights, tools, and approaches from different disciplines in an effort to find unifying principles in nature and computation.Her Ph.D is in Biology from the University of New Mexico and she has a B.S. in Symbolic Systems from Stanford University with a concentration in Agent Based Modeling. She has led the NASA Swarmathon and NM CSforAll to engage thousands of women and underrepresented minority students in computer science research and education.
Resources curated for this task force include:
- Computing Research for the Climate Crisis white paper