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Data Science for Food, Energy and Water: A Workshop Report

Published:22 March 2017Publication History
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Abstract

At the 22nd ACM SIGKDD conference on Knowledge and Data Discovery (KDD), a workshop on Data Science for Food, Energy andWater (DSFEW) was held to foster an interdisciplinary community intersecting data science and societally important domains of food, energy and water. The workshop included keynotes, panel discussion, presentations and posters, and introduced the emerging area of DSFEW to ACM SIGKDD audience, and triggered interdisciplinary idea-sharing in DSFEW research. The workshop website is sites.google.com/site/2016dsfew.

References

  1. Water energy food: WEFWEBs, research councils UK. http://gtr.rcuk.ac.uk/project/EDD08B5A-61DE-41CA-B967-3554BE85CCBA, 2014.Google ScholarGoogle Scholar
  2. Computing research association, NSF workshop to identify interdisciplinary data sci. approaches and challenges to enhance understanding of interactions of food sys. with energy and water sys. Computing Research News, 27(10), 2015.Google ScholarGoogle Scholar
  3. KSIConnect, Global choke point: Water-energy-food confrontations in china, us and india. https://www.youtube.com/watch?v=6F2tx903FMI, 2015.Google ScholarGoogle Scholar
  4. National Science Foundation, Innovations at the nexus of food, energy and water systems. www.nsf.gov/about/budget/fy2016/pdf/37_fy2016.pdf, 2015.Google ScholarGoogle Scholar
  5. ACM SIGKDD 2016 workshop on data science for food, energy and water. https://sites.google.com/site/2016dsfew, 2016.Google ScholarGoogle Scholar
  6. GeoGlam (global agricultural monitoring initiative). www.geoglam-crop-monitor.orgf, 2016.Google ScholarGoogle Scholar
  7. Museum of Paleontology, The ecology of human populations. http://evolution.berkeley.edu, 2016.Google ScholarGoogle Scholar
  8. United Nations, Transforming our world: the 2030 agenda for sustainable development. sustainabledevelopment.un.org/?menu=1300, 2016.Google ScholarGoogle Scholar
  9. E. Eftelioglu, Z. Jiang, R. Ali, and S. Shekhar. Spatial computing perspective on food energy and water nexus. J. of Env. Studies and Sci., 6(1):62--76, 2016.Google ScholarGoogle ScholarCross RefCross Ref
  10. M. Escobar. The nexus of water-energy-food: an introduction to the Inter-ADB sustainability report 2011. Inter-American development bank sustainability report 2011, pages 7--9, 2012.Google ScholarGoogle Scholar
  11. J. Liu, H. Mooney, et al. Systems integration for global sustainability. Science, 347(6225):1258832-1--9, 2015.Google ScholarGoogle ScholarCross RefCross Ref
  12. National Intelligence Council. Global trends 2030: Alternative worlds. globaltrends2030.files.wordpress.com/2012/11/global-trends-2030-november2012.pdf, 2012.Google ScholarGoogle Scholar
  13. USDOE. The water energy nexus: Challenges and opportunities. http://www.energy.gov/sites/prod/files/2014/06/f16/Water%20Energy%20Nexus%20Report%20June%202014.pdf, 2014.Google ScholarGoogle Scholar

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