The Computational Sustainability : Computational Methods for a Sustainable Environment , Economy , and Society

By I. Jacobs, Charles M. Vest, M. Savitz, T. F. Budinger, G. Bugliarello, D. Mote. 2009

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Kiri L. Wagstaff
2. Carla P. Gomes
3. Marek Petrik
4. Lorenz M. Hilty
5. Bernard Aebischer
6. Xiaojian Wu
7. Kush R. Varshney
8. Frank Hutter

Citations in the corpus

• Machine Learning that Matters (2012, background): “The growing area of computational sustainability (Gomes, 2009) seeks to connect ML advances to real-world challenges in the environment, economy, and society.”
• ICT for Sustainability: An Emerging Research Field (2015, background): “[36] The phrase ‘‘balancing environmental, economic, and societal needs’’ occurs frequently in key documents describing CompSust (e.”
• Optimal Threshold Control for Energy Arbitrage with Degradable Battery Storage (2015, background): “Related resource effi-ciency optimization problems have been recently studied, among others, in the computational sustainability research area [Gomes, 2009, Petrik and Zilberstein, 2011, Ermon et al., 2011, Ermon et al., 2013].”
• Computational Sustainability (2011, background): “Computational Sustainability aims to identify, formalize, and provide solutions to computational problems concerning the balancing of environmental, economic, and societal needs for a sustainable future [16].”