Doing Good With Data Science: Fairly & Equitably

During this installment of our Speaker Series, Rayid Ghani will explore doing good with data science.  Can Artificial Intelligence (AI), Machine Learning (ML) and Data Science help prevent children from getting lead poisoning? Can it help reduce police violence and misconduct? Can it increase vaccination rates?  Can it help cities better prioritize limited resources to improve the lives of citizens and achieve equity? We’re all aware of the potential of ML and AI but turning this potential into tangible social impact, and more importantly equitable social impact, requires cross-disciplinary teams and methods.  He will discuss lessons learned from working on 50+ projects over the past few years with nonprofits and governments on high-impact public policy and social challenges in criminal justice, public health, education, economic development, public safety, workforce training, and urban infrastructure. He will highlight opportunities as well as challenges that need to be tackled in order to have social and policy impact in a fair and equitable manner.

If you missed the lecture please use this link to watch.