Readings: AI and Machine Learning for Sustainability

  1. “Computational Sustainability: Computational Methods for a Sustainable Environment, Economy, and Society” by Carla Gomes (2009). Bridge Frontiers of Engineering Vol 39 No. 4 Winter 2009, National Academy of Engineering. Retrieved from https://www.nae.edu/Publications/Bridge/17281/17286.aspx.  (Estimated time of 45 minutes for reading and follow up, like looking up and reading about terms, like “stochastic optimization” and “dynamical systems”) (This paper addresses computational approaches beyond classic AI and machine learning, but AI, to include machine learning, comprises most of these computational areas –DF)
  2. “Artificial Intelligence for Computational Sustainability: A Lab Companion”  (2016, June 17). Wikibooks, The Free Textbook Project. Retrieved 22:38, August 15, 2016 from https://en.wikibooks.org/w/index.php?title=Artificial_Intelligence_for_Computational_Sustainability:_A_Lab_Companion&oldid=3091319. https://en.wikibooks.org/wiki/Artificial_Intelligence_for_Computational_Sustainability:_A_Lab_Companion (Read Preface and Introduction) (Estimated time of 15 minutes for reading and followup)
  3. “Combining satellite imagery and machine learning to predict poverty“, Jean, N., Burke, M., Xie, M., Davis, M., Lobell, D. B., Ermon, S., Science  19 Aug 2016: Vol. 353, Issue 6301, pp. 790-794 DOI: 10.1126/science.aaf7894 http://science.sciencemag.org/content/353/6301/790.full (Estimated time of 1 hour  for reading and followup) If you can not access from the Science site, for which we have an institutional affiliation, get the article here.