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  • 标题:Solve for Good: A Data Science for Social Good Marketplace
  • 本地全文:下载
  • 作者:Rayid Ghani ; Lisa Green ; Alberto Bengoa
  • 期刊名称:SIGKDD Explorations
  • 印刷版ISSN:1931-0145
  • 出版年度:2019
  • 卷号:21
  • 期号:2
  • 页码:3-5
  • DOI:10.1145/3373464.3373468
  • 出版社:Association for Computing Machinery
  • 摘要:Solve for Good is a platform for social good organizations to pose their problems that need data intensive help, and for volunteers to help solve those problems. Once the projects are submitted by the organization, they go through a scoping process (done by scoping volunteers and guided by our Data Science Scoping Process). Once a project scope is finalized, it becomes available for data science volunteers to start working on. The finished work is reviewed by a QA team consisting of volunteers and staff of the organization that submitted the project. Solve for Good comes out of our experience working with government agencies, non-profits, universities, volunteers, professionals, students, and the private sector over the last several years. We repeatedly get contacted by governments, non-profits, and other social good organizations asking for help with data projects. We also have smart, passionate individuals who contact us offering their help, often in a volunteer capacity, on weekends, evenings, or for a few days or weeks. Solve for Good is our attempt at linking these two. We are just starting out, and looking for help in doing this better, and getting feedback from you. Join us at http://www.solveforgood.org as a volunteer to help solve problems, as an organization to submit problems, as partners to help us expand the platform and provide resources to run it, and as corporations or foundations to loan volunteers and donate resources used in solving these problems.
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