Social Data Science and Collective Resilience: Opportunities and Challenges
Social data science can both strengthen and damage the fabric of civil society. Predictive models allow us to respond as situations develop and either manage or magnify them. Social data enables quick responses to unrest and conflict, active engagement with developing narratives, and identification of individuals and groups that are responsible. The same models and data that can help build more effective, ethical and equitable communities can also damage and destroy them. In this panel we will consider critical questions of when and how social data science supports collective resilience.
The SoDa Center at UMD
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. To help address these challenges, the University of Maryland has launched a new Social Data Science Center (SoDa) designed to advance research, education, and applications of social data measurement and analysis. This center leverages UMD’s strengths in survey methods, measurement, information management, visualization, and analytics. Facebook is providing support for the center’s research and education programs over the next three years.