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个人简介
Rayid is a reformed computer scientist and wanna-be social scientist, but mostly just wants to increase the use of large-scale AI/Machine Learning/Data Science in solving large public policy and social challenges in a fair and equitable manner. Among other areas, Rayid works with governments and non-profits in policy areas such as health, criminal justice, education, public safety, economic development, and urban infrastructure. Rayid is also passionate about teaching practical data science and started the Data Science for Social Good Fellowship that trains computer scientists, statisticians, and social scientists from around the world to work on data science problems with social impact.
Before joining Carnegie Mellon University, Rayid was the Founding Director of the Center for Data Science & Public Policy, Research Associate Professor in Computer Science, and a Senior Fellow at the Harris School of Public Policy at the University of Chicago. Previously, Rayid was the Chief Scientist of the Obama 2012 Election Campaign where he focused on data, analytics, and technology to target and influence voters, donors, and volunteers. In his ample free time, Rayid obsesses over everything related to coffee and works with non-profits to help them with their data, analytics and digital efforts and strategy.
Before joining Carnegie Mellon University, Rayid was the Founding Director of the Center for Data Science & Public Policy, Research Associate Professor in Computer Science, and a Senior Fellow at the Harris School of Public Policy at the University of Chicago. Previously, Rayid was the Chief Scientist of the Obama 2012 Election Campaign where he focused on data, analytics, and technology to target and influence voters, donors, and volunteers. In his ample free time, Rayid obsesses over everything related to coffee and works with non-profits to help them with their data, analytics and digital efforts and strategy.
研究兴趣
论文共 180 篇作者统计合作学者相似作者
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Catalina Vajiac, Arun Frey, Joachim Baumann, Abigail Smith,Kasun Amarasinghe, Alice Lai, Kit T. Rodolfa,Rayid Ghani
AAAI 2024no. 20 (2024): 22393-22400
ADVANCES IN ARTIFICIAL INTELLIGENCE, AI 2023, PT II (2024): 173-184
PROCEEDINGS OF 2023 ACM CONFERENCE ON EQUITY AND ACCESS IN ALGORITHMS, MECHANISMS, AND OPTIMIZATION, EAAMO 2023 (2023): 36:1-36:11
Oscar Giles,Kasra Hosseini, Grigorios Mingas,Oliver Strickson, Louise Bowler,Camila Rangel Smith,Harrison Wilde,Jen Ning Lim,Bilal Mateen,Kasun Amarasinghe,Rayid Ghani,Alison Heppenstall,
arxiv(2022)
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semanticscholar(2022)
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