Computational Social Science Forum
Date: Monday, November 9, 2020
Time: 12:00-1:30 PM Pacific Time
Location: Register to receive the schedule and access links.
Eviction, Displacement, Unemployment, and COVID-19 Infection Risk: Measuring Neighborhood Level Housing Precarity During the Pandemic
Speaker: Tim Thomas, Research Director, Urban Displacement Project, UC Berkeley
In this week's meeting, Tim Thomas will present some preliminary results of recent research performed with colleauges Cornelia Ilin, Alex Ramiller, Daniel Campbell, Shayan Ghosh, Josh Blumenstock, and Karen Chapple.
The Computational Social Science Forum is an informal setting for the interdisciplinary exchange of ideas and scholarship at the intersection of social science and data science. Weekly meetings are hosted by researchers from BIDS and D-Lab, and participants engage in a variety of activities such as presentations of work in progress, discussions and critiques of recent papers, introductions to new tools and methods, discussions around ethics, fairness, inequality, and responsible conduct of research, as well as professional development. We welcome social scientists researchers with interests in data science methods and tools, and data scientists with applications or interests in public policy, social, behavioral, and health sciences. Participants include graduate students, postdocs, staff, and faculty, and members are encouraged to attend regularly in order to foster community around improving computational social science research, supporting the development and research of group members, and fostering new collaborations. This Forum is organized as part of the Computational Social Science Training Program. Meetings are currently held virtually on Mondays at 12:00-1:30 PM Pacific Time, and interested UC Berkeley community members are invited to use this registration form to receive the schedule and access links. Please contact email@example.com for more information.
Tim Thomas is a postdoctoral scholar and research director at the UC Berkeley Urban Displacement Project specializing in urban sociology, demography, and data science. His research focuses on how neighborhood change, housing, and displacement affects household socioeconomic stratification by race and gender in the United States. Tim is also the Principal Investigator for the Evictions Study, a multi-metropolitan analysis on the neighborhood drivers of eviction using census data and text mining court records. Thomas' research agenda is marked by an intellectual foundation in policy-relevant research operationalized through civic and academic collaborations that address real-world problems and advances scholarly research. In 2019, his team's work on evictions provided empirical evidence that helped pass several tenant protection laws in Washington State. In addition to his work on evictions, Thomas has published academic articles and reports on migration, gentrification, homelessness, hate crimes, and displacement. He holds a Ph.D. in Sociology from the University of Washington and was a Moore/Sloan Data Science Postdoctoral Fellow at the University of Washington's eScience Institute.