Report

Bringing Big Data in Policy Research

Studying large public social programs can be a challenge for social scientists. Recent technological developments have allowed researchers to use big data — data sets that combine survey and administrative data — to examine how social programs work and how they affect their participants. One method by which researchers accomplish this is “text mining,” a process of finding patterns from large amounts of unstructured text data. In this report from Chapin Hall at the University of Chicago, researchers explore how text mining contributed to a better understanding of the behavior of families in the foster care system and the role of the courts on reunification.
Source
Partner Resources
Topics/Subtopics
Supportive Services
Child Welfare
Health/Behavioral Health Referrals and Supports
TANF Program Administration
Data Systems
Publication Date
2018-06-01
Section/Feed Type
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