Computational Sustainability

Sustainable development — development that meets theneeds of the present without compromising the abilityof future generations to meet their needs (United Nations Environment Programme, 1987) — is a critical con-cern to current and future generations. The emerging inter-disciplinary field of computational sustainability (Gomes 2009) draws techniques from computer science, information science, mathematics, statistics, operations research, and related disciplines to help balance environmental and socioe-conomic needs for sustainable development. Artificial intel-ligence (AI) techniques play a key role in computational sus-tainability research, enabling the solution of sustainability problems that involve modeling or decision making in dynamic and uncertain environments. In turn, sustainabili-ty problems present unique challenges that further advance the state of the art of AI. Since 2011, the main AAAI conference has included a spe-cial track on computational sustainability, encouraging AI research in this area and broader participation of sustainabil-ity researchers in the AAAI community. The International Joint Conference on Artificial Intelligence (IJCAI) include