Deadline for Using Survey of Income and Program Participation (SIPP) Workshop is November 18, 2013

The Triangle Census Research Network (TCRN) and the Duke Initiative in Survey Methodology at the Social Science Research Institute at Duke University, in collaboration with the Institute for Social Research at the University of Michigan, invites applications to participate in a three-day workshop February 28 - March 2, 2014, in Durham NC. Funding for the workshop is provided via grant No. SES 1131897 from the National Science Foundation and the US Bureau of the Census to the TCRN.

The workshop will introduce participants to the use of micro-data from the Survey of Income and Program Participation (SIPP) and provide the necessary foundations for participants to conduct their own SIPP-based research project. The SIPP collects longitudinal subannual data on respondents' income, labor force activity, household composition, health, migration, and eligibility for and participation in programs (e.g.TANF, WIC, Medicare, Medicaid, and numerous others). As such, it provides unique opportunities to examine the social and economic well-being of U.S. residents, and changes in residents experiences over time.

H. Luke Shaefer, Assistant Professor of Social Work at the University of Michigan and National Poverty Center (NPC) Research Affiliate, will lead the workshop in collaboration with researchers at Duke University, the U.S. Census Bureau and other nationally recognized SIPP scholars. The Triangle Census Research Network will pay travel, lodging, and meal costs for a limited number of participants.

Applications to participate will be accepted from faculty, postdoctoral fellows, advanced doctoral students, federal, state and local-level policy and research analysts, researchers at non-profit organizations, and others who would benefit from this workshop.  Proposals received by 5 PM Eastern Time on Monday, November 18, 2013 will get full consideration.

More information about the workshop and the application process can be found at this link: