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McCourt School of Public Policy
  • Programs
    • Graduate Programs
    • Dual Degree Programs
    • International Programs
    • Certificate Programs
    • Executive Education
  • People
    • Leadership Team
    • Faculty and Researchers
    • Staff
    • Alumni
  • Research
    • Featured Publications
    • Centers and Initiatives
    • GU Politics
    • Research Data Center
    • Massive Data Institute
    • Faculty and Researchers
    • Research Seminars
  • Admissions
    • Application Requirements
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    • Tuition and Financial Aid
    • Admissions Events
    • McCourt Ambassadors
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    • Admissions FAQ and Contact Information
  • Life at McCourt
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Research
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Advancing Research

The Massive Data Institute (MDI) at Georgetown’s McCourt School of Public Policy serves to advance research for faculty at Georgetown and beyond. From pioneering cutting-edge big data research techniques to establishing best practices for secure and responsible use of data to answer public policy questions, MDI works with researchers in government, academia, and industry to solves societal-scale problems.

Resources & Events

Computing resources. MDI supports faculty research by facilitating access to high capacity computing resources.

The Georgetown Research Data Center (RDC) is a joint project of the U.S. Census Bureau and the Massive Data Institute at Georgetown University’s McCourt School of Public Policy.

Proposal Development Support. MDI supports faculty research through assistance with proposal development. When a faculty member applies for an externally sponsored research grant through MDI, an MDI staff member is available to coordinate the proposal submission process, develop a proposal budget and budget justification, and review proposals for compliance with sponsor requirements and university policies and procedures.

Academic Conferences. MDI supports national and international conferences dedicated to computational social science and policy. Learn more about our recently held events: Conference on Politics and Computational Social Science (PaCSS) and Data Linkage Day.

Data Blending. To help facilitate a broader reach of text analytic methods and tools across social, behavioral and economic research, we are creating a community of social scientists across disciplines that will work on different data blending projects to advance their research.

s3mc. The Social Science and Social Media Collaborative (S3MC) aims to incorporate three parallel projects on survey methodology, political communication patterns, and parenting information and misinformation to address issues concerning the use of data from social media.

Working research and collaborations. Learn more about the publications and academic works produced by MDI Researchers, affiliates, and collaborators.

Conferences and panels. Learn more about conference and panel presentations given by our MDI scholars and affiliated researchers.


If you have any other questions, please don’t hesitate to contact us.

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