As part of the McCourt School of Public Policy’s founding in October of 2013, we are building a Massive Data Institute devoted to the study of high-dimensional data for public policy. The Institute will use Big Data sets to increase understanding of society and human behavior and thus improve public policy decision-making.
Incredible advances in public policy may be possible by bringing together the scientists who can analyze these data and the policy practitioners in the government and nonprofit sectors that can design and implement policies. While we work to build and staff our Institute, we are pleased to announce the following initiatives:
The Massive Data Institute at the McCourt School of Public Policy offers seed grants to progress research at the intersection of big data and public policy. Two types of grants are available to Georgetown faculty and graduate students: Travel grants are available to fund conference attendance or data collection and research seed grants are available to support early-stage projects with high potential to generate external funding. This year the MDI is also pleased to partner with the Georgetown Environmental Initiative to offer a grant that supports the use of large data sets to address an environmental question.
The McCourt School of Public Policy seeks postdoctoral fellows for the 2015-16 academic year with research interests at the intersection of public policy and big data. Applicants can hold a Ph.D. in any discipline but must conduct policy-relevant research that involves large data sets. Fellows will engage in their own research, teach one course during the spring semester, and contribute to the intellectual life of the McCourt School and the Massive Data Institute.
MDI SEMINAR SERIES
The McCourt School of Public Policy at Georgetown University is pleased to present a Massive Data Institute seminar series. The goal of the series is to establish a cross-disciplinary research institute to further the innovative uses of data for policy and social science. The 2013-2014 seminar series focused on the applications of "novel and high dimensional data" in the social sciences.