University of Maryland

Large-Scale Infrastructure for Social Data Science

February 9, 10-11am EST (Register below to receive the Zoom information)

The powerful information available in large social science data sets is critical to understanding and addressing many of our nation and world’s most pressing challenges: from Covid-19 to racial, social and economic injustice; and from climate change to deep and damaging political and cultural divides.

Gathering, managing, and using social data to address critical questions requires the development of large-scale data infrastructures. In this Social Data Science Center (SoDa) panel, the distinguished speakers will share their experiences with the challenges and opportunities presented by efforts to create social data science infrastructure at the state, national, and international level.

Nancy Potok, Ph.D
CEO, NAPx Consulting
Former Chief Statistician of the United States

Daniel Oberski, Ph.D
Associate Professor, Department of Methodology and Statistics, Utrecht University
Social Data Science Team Lead, ODISSEI

Laura Stapleton, Ph.D
Associate Dean and Professor
Department of Human Development and Quantitative Methodology, University of Maryland

Tracy Sweet, Ph.D
Associate Professor
Department of Human Development and Quantitative Methodology, University of Maryland

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