Thursday, April 11 / 5:00 PM - 6:30 PM Lone Star A (Level 3)

Session 100
Using Big Data in Population Research

Chair: Dennis Feehan, University of California, Berkeley
Discussant: Jenna Nobles, University of Wisconsin-Madison

1. How to Borrow Information Across Unlinked Data? A Relative Density Approach for Predicting Unobserved Population DistributionsSiwei Cheng , New York University (NYU).

2. Estimating the National Prevalence of Eviction Using Millions of Public Court RecordsAshley Gromis , Princeton University; James Hendrickson, Princeton University; Lavar Edmonds, Princeton University; Lillian Leung, Princeton University; Adam Porton, Princeton University; Matthew Desmond, Harvard University.

3. Using Machine Learning to Target Assistance: Identifying Tenants at Risk of Landlord HarassmentRebecca Johnson , Princeton University; Jerica Copeny, Evansville Public Library; Samantha Fu, London School of Economics; Teng Ye, University of Michigan; Bridgit Donnelly, New York City Public Engagement Unit; Alex Freeman, New York City Public Engagement Unit; Joe Walsh, University of Chicago Center for Data Science and Public Policy; Rayid Ghani, University of Chicago Center for Data Science and Public Policy.

4. Discovery of Gene Expression Signatures Using Machine Learning: Social Isolation and Genetic Expression in Adolescence and Young AdulthoodBrandt Levitt , University of North Carolina at Chapel Hill; Lauren Gaydosh, Vanderbilt University; Mike Shanahan, University of Zurich; Steve Cole, University of California, Los Angeles; Kathleen Mullan Harris, University of North Carolina at Chapel Hill.

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