Data Science for Food, Energy and Water

Author:

Abe Naoki1,Xie Yiqun2,Shekhar Shashi2,Apte Chid1,Kumar Vipin2,Tuinstra Mitch3,Vatsavai Ranga Raju4

Affiliation:

1. IBM Research

2. University of Minnesota

3. Purdue University

4. North Carolina State University

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.

Publisher

Association for Computing Machinery (ACM)

Reference13 articles.

1. Water energy food: WEFWEBs research councils UK. http://gtr.rcuk.ac.uk/project/EDD08B5A-61DE-41CA-B967-3554BE85CCBA 2014. Water energy food: WEFWEBs research councils UK. http://gtr.rcuk.ac.uk/project/EDD08B5A-61DE-41CA-B967-3554BE85CCBA 2014.

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2. Agricultural big data and methods and models for food security analysis—a mini-review;PeerJ;2022-06-29

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