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17:00 - 19:00 13 September 2016

Doing Practical Data Science for Social Good and Public Policy


106LT | Roberts Building (link Map)
Malet Place | London | WC1E 7JE | United Kingdom

Open to: Public | Academic | Student
Admission: free
Ticketing: Pre-booking essential

Lecture Series on Data Science and Public Policy #1

Can data science help reduce police violence and misconduct? Can it help prevent children from getting lead poisoning? Can it help cities better target limited resources to improve lives of citizens? We're all aware of the data science hype right now but turning this hype into any social impact takes effort. This talk will discuss lessons learned while working on dozens of data science projects over the past few years with non-profits and governments on high-impact public policy and social challenges. These lessons span from challenges these organizations face when trying to apply data science, to understanding how to effectively train and build cross-disciplinary teams to do practical data science, as well as what data science and social science research challenges need to be tackled, and what tools and techniques need to be developed in order to have a social and policy impact with data science.


Steve Marchant