N. Abe, Yiqun Xie, S. Shekhar, C. Apté, Vipin Kumar, M. Tuinstra, Ranga Raju Vatsavai
{"title":"Data Science for Food, Energy and Water: A Workshop Report","authors":"N. Abe, Yiqun Xie, S. Shekhar, C. Apté, Vipin Kumar, M. Tuinstra, Ranga Raju Vatsavai","doi":"10.1145/3068777.3068779","DOIUrl":null,"url":null,"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.","PeriodicalId":90050,"journal":{"name":"SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining","volume":"41 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3068777.3068779","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
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.