Improving Employment Outcomes for Low-Income Job Seekers: Call for Papers

May 28, 2019

Pathways to Work Evidence Clearinghouse

Have you completed a research study, paper, or journal article examining the effectiveness of programs or strategies whose primary aim is to improve employment outcomes for low-income job seekers?

If so, please submit your work to The Pathways to Work Evidence Clearinghouse: the What Works Clearinghouse of Proven and Promising Approaches to Move Welfare Recipients to Work (Pathways). We’re particularly interested in unpublished manuscripts (past or recent), conference papers, and forthcoming articles that are not included in existing research syntheses or databases, although we also welcome published research. Reviewers from our Pathways team will:

  • Assess the strength of the evidence associated with individual studies;
  • Rate and categorize the evidence of effectiveness for the projects studied, and;
  • Share results on a publicly available website (launching in spring 2020) with a searchable database of findings. 

The deadline for submissions is July 3, 2019.

Please email PathwaysClearinghouse@mathematica-mpr.com to:

  • Submit your research.
  • Ask questions about the call for papers.
  • Ask to be placed on the mailing list so we can notify you when the Pathways Clearinghouse website is published next year.

Visit the project page for more information on (1) eligibility, (2) submission instructions, and (3) project background.

Summary of the Pathways to Work Evidence Clearinghouse Project 

To provide reliable, accessible information about what works to help low-income people find and sustain gainful employment, the Office of Planning, Research, & Evaluation at the Administration for Children & Families has launched the Pathways to Work Evidence Clearinghouse. Administered by Mathematica, the Clearinghouse will identify and synthesize evidence from projects that aim to improve employment outcomes, reduce employment challenges, and support self-sufficiency for low-income populations.