基本信息
浏览量:0
职业迁徙
个人简介
Ben Green is a postdoctoral scholar in the Michigan Society of Fellows and an assistant professor at the Gerald R. Ford School of Public Policy. He holds a PhD in applied mathematics, with a secondary field in science, technology, and society, from Harvard University. Ben studies the social and political impacts of government algorithms, with a focus on algorithmic fairness, smart cities, and the criminal justice system. His book, The Smart Enough City: Putting Technology in Its Place to Reclaim Our Urban Future, was published in 2019 by MIT Press. Ben is also an affiliate at the Berkman Klein Center for Internet & Society at Harvard.
Ben’s research draws on his experience working with data and technology in city government. He spent a year working for the Citywide Analytics Team in the City of Boston, where he combined data and performance analysis to improve public services and civic engagement. Ben previously worked at the University of Chicago Data Science for Social Good Summer Fellowship, where he developed a machine learning system to enhance the City of Memphis’ urban revitalization efforts. He also spent a year at the New Haven Department of Transportation, Traffic, and Parking, where he managed the deployment of new parking meter payment technology.
Ben’s research draws on his experience working with data and technology in city government. He spent a year working for the Citywide Analytics Team in the City of Boston, where he combined data and performance analysis to improve public services and civic engagement. Ben previously worked at the University of Chicago Data Science for Social Good Summer Fellowship, where he developed a machine learning system to enhance the City of Memphis’ urban revitalization efforts. He also spent a year at the New Haven Department of Transportation, Traffic, and Parking, where he managed the deployment of new parking meter payment technology.
研究兴趣
论文共 26 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Philosophy & Technologyno. 1 (2023): 1-2
Philosophy & Technologyno. 4 (2022): 1-32
AAAI Conference on Human Computation & Crowdsourcing (HCOMP)no. 1 (2022): 219-230
arxiv(2022)
引用0浏览0EI引用
0
0
J. Soc. Comput.no. 3 (2021): 209-225
Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (2020)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn