The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.06 - November/December (2011 vol.26)
pp: 14-18
Douglas H. Fisher , Vanderbilt University
ABSTRACT
<p>This inaugural article of the AI and Sustainability department sets the stage for articles in the area over the coming months and years. AI and sustainability is a nascent area, and elaborating it's brief history with pointers to recent and notable activities is this article's primary goal, as well as contextualizing AI and sustainability within the larger computing and sustainability movement.</p>
INDEX TERMS
Intelligent systems, AI, sustainability, machine learning, optimization, biodiversity, cyber-physical systems, socio-technical sciences, smart grid
CITATION
Douglas H. Fisher, "Computing and AI for a Sustainable Future", IEEE Intelligent Systems, vol.26, no. 6, pp. 14-18, November/December 2011, doi:10.1109/MIS.2011.98
REFERENCES
1. S. Dzeroski et al., "Equation Discovery with Ecological Applications," Machine Learning Methods for Ecological Applications, A.H. Fielding ed., Kluwer, 1999.
2. C.P. Gomes,, "Computational Sustainability: Computational Methods for a Sustainable Environment, Economy, and Society," The Bridge, vol. 39, no. 4, 2009, pp. 5–13; www.nae.eduFile.aspx?id=17673.
3. G.H. Brundtland ed., Report of the World Commission on Environment and Development: Our Common Future, United Nations, 1987.
4. N. Eagle and E. Horvitz eds., , Papers from the AAAI Spring Symposium on Artificial Intelligence and Development, tech. report SS-10-01, AAAI, 2010; www.aaai.org/Press/Reports/Symposia/Spring ss-10-01.php.
5. R. Carson, Silent Spring, Houghton Mifflin, 1962.
6. S. Weart, The Discovery of Global Warming: Revised and Expanded Edition, Harvard Univ. Press, 2008.
7. A. Leiserowitz et al., Global Warming's Six Americas, Yale Project on Climate Change Communication, Yale Univ. and George Mason Univ., 2011; http://environment.yale.edu/climate/files SixAmericasMay2011.pdf.
8. D.H. Fisher, "Sustainability," Leadership in Science and Technology: A Reference Handbook, W.S. Bainbridge ed., Sage Publications, 2011.
9. E. Redden, "Schools of Sustainability, Colleges of the Environment," Inside Higher Education, 2009; www.insidehighered.com/news/2009/07/23sustainability .
10. A. Kohler, and L. Erdmann, "Expected Environmental Impacts of Pervasive Computing," Human and Ecological Risk Assessment, vol. 10, no. 5, 2004, pp. 831–852.
11. S. Roberts, Measuring the Relationship between ICT and the Environment, Organization for Economic Co-operation and Development (OECD), 2009; www.oecd.org/dataoecd/32/5043539507.pdf.
12. B. Tomlinson, Greening through IT, MIT Press, 2010.
13. J.E. Petersen et al., "Dormitory Residents Reduce Electricity Consumption when Exposed to Real-Time Visual Feedback and Incentives," Int'l J. Sustainability in Higher Education, vol. 8, no. 1, 2007, pp. 16–33.
14. D. Mackenzie, Mathematics of Climate Change: A New Discipline for an Uncertain Century, Mathematical Sciences Research Inst., 2007; www.msri.org/attachments/workshops/462MathClimate.pdf .
15. R. Bryant et al., Science, Engineering, and Education of Sustainability: The Role of Information Sciences and Engineering, version 18, Computing Community Consortium, 2011; http://cra.org/ccc/docsRISES_Workshop_Final_Report-5-10-2011.pdf .
16. E. Bonabeau, "Agent-Based Modeling: Methods and Techniques for Simulating Human Systems" Proc. Nat'l Academy of Sciences, vol. 99, suppl. 3, 2002, pp. 7280–7287; www.pnas.org/content/99/suppl.37280.full .
17. D. Zeng, K. Carley, and F.-Y. Wang, "Social Computing," IEEE Intelligent Systems, vol. 22, no. 5, 2007, pp. 20–22.
18. D.H. Fisher and M.L. Maher eds., , Papers from the AAAI Spring Symposium on Artificial Intelligence and Sustainable Design, tech. report SS-11-02, AAAI, 2011; www.aaai.org/Press/Reports/Symposia/Spring ss-11-02.php.
19. T. Dietterich, "Machine Learning in Ecosystem Informatics and Sustainability," Proc. 21st Int'l Joint Conf. Artificial Intelligence, Morgan Kaufmann, 2009, pp. 8–13.
20. S. Gupta, M.S. Reynolds, and S.N. Patel, "ElectriSense: Single-Point Sensing Using EMI for Electrical Event Detection and Classification in the Home," Proc. Conf. Ubiquitous Computing (UbiComp), ACM Press, 2010, pp. 139–148.
21. P. Gross et al., "Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis," Proc. 18th Conf. Innovative Applications of Artificial Intelligence (IAAI-06), AAAI Press, 2006, pp. 1705–1711.
22. D. Stokes, Pasteur's Quadrant: Basic Science and Technological Innovation, Brookings Inst. Press, 1997.
6 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool