Computational sustainability: Computing for a better world and a sustainable future
September 1, 2019
Computational sustainability aims to develop computational methods to help solve environmental, economic, and societal problems and thereby facilitate a path towards a sustainable future. Sustainability problems are unique in scale, impact, complexity, and richness, offering challenges but also opportunities for the advancement of the state of the art of computing and information science.
Citation Information
| Publication Year | 2019 |
|---|---|
| Title | Computational sustainability: Computing for a better world and a sustainable future |
| DOI | 10.1145/3339399 |
| Authors | Carla Gomes, Thomas Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Fern, Daniel Fink, Daniel Fisher, Alexander Flecker, Daniel Freund, Angela K. Fuller, John Gregoire, John Hopcroft, Steve Kelling, Zico Kolter, Warren Powell, Nicole Sintov, John Selker, Bart Selman, Daniel Sheldon, David Shmoys, Milind Tambe, Weng-keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Abdul-Aziz Yakuba, Amulya Yadav, Mary Lou Zeeman |
| Publication Type | Article |
| Publication Subtype | Journal Article |
| Series Title | Communications of the ACM |
| Index ID | 70228113 |
| Record Source | USGS Publications Warehouse |
| USGS Organization | Coop Res Unit Leetown |