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  • 标题:Data Science for Earth: An Earth Day Report
  • 本地全文:下载
  • 作者:Emre Eftelioglu ; Shashi Shekhar ; James Hudson
  • 期刊名称:SIGKDD Explorations
  • 印刷版ISSN:1931-0145
  • 出版年度:2020
  • 卷号:22
  • 期号:1
  • 页码:4-7
  • DOI:10.1145/3400051.3400055
  • 出版社:Association for Computing Machinery
  • 摘要:At the 25th ACM SIGKDD conference on Knowledge and Data Discovery (KDD), a special Earth Day symposium was held to bring together thought leaders in academia, indus- try and government to discuss opportunities for data science to help meet the challenges facing our planet Earth. The all-day event showcased some examples of data-intensive re- search being done to study Earth-related phenomena. A key goal of the symposium was to raise awareness about the unique challenges that Earth-related datasets pose for data mining. The Earth Day website can be found at https://www. kdd.org/kdd2019/special-days/earth-day.
  • 关键词:climate change; earth, sustainability; food- energy-water nexus; geospatial data science; urbanization
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