Co-sponsored with the Woodrow Wilson School and the Julis-Rabinowitz Center for Public Policy and Finance

The internet revolution is generating unthinkable amounts of data, most of it untainted by the biases, unreliability and the expense of survey data. How can big data, alone or in combination with traditional sources, be used to answer questions that until now were considered unknowable? Seth Stephens-Davidowitz will give a public talk on Big Data and the Social Sciences. His work focuses on using big-data sources to uncover previously hidden behaviors and attitudes, he has addressed issues such as voting, racism, parenting, sexual preferences, child abuse and depression. He is at work on a book based on his research. Seth received a Ph.D. in economics from Harvard in 2013. He is a quantitative analyst at Google.