This fact sheet by the University of Wisconsin’s Institute for Research on Poverty reviews the challenges of low-wage jobs and identifies factors of economic instability; these factors include irregularity in work schedules and monthly income. The fact sheet considers how unpredictability can be a complicating issue for safety net program eligibility and affects the workers’ well-being.

This Office of Planning, Research and Evaluation literature review examines how state and local TANF agencies have implemented approaches to improve their organizational culture to be more client-centered. The review’s premise is that the agencies’ organizational culture affects TANF program implementation, both in terms of the clients and the work that frontline staff performs.

A January 9, 2019 webinar will discuss the implementation and outcomes of the Individual Placement and Support-Supported Employment practice for TANF families. This webinar will feature the Project Director for SAMHSA’s Transforming Lives through Supported Employment Program (SEP) in Washington State and a representative from the grant program’s evaluation team.

The new Community Needs Assessment (CNA) online data tool can now be found within the CARES engagement network and features structural improvements to increase user experience. It still allows for mapping and reporting data, but has updated environments and easier data downloading features. They will be hosting a webinar on August 14, 2018 to give an online tour of the improved tool.

Visitors to this webpage can select states and territories in a drop down list or click on states and territories on an interactive map to view state caseload trends provided by The Office of Child Support Enforcement (OCSE); the map links to IV-D Child Support Caseload Fact Sheets for each state of the United States and three territories. The source of the information on the fact sheets is the OCSE 157 Report.

In this Brookings Paper on Economic Activity, the authors focus on children within the safety net programs of Medicaid, EITC, CTC, SNAP, and TANF, and how federal money has shifted over time to currently benefit families with earnings above the poverty line. Because much research has been done on the substantial and lasting effects of poverty on child development and later well-being, current social net programs may be negatively affecting the poorest children. Over the past twenty years, funds allocated toward children have mostly remained the same, as have the number of children in poverty, but social program benefits have been shifting to benefit those at or above the poverty line more than those below it. While the authors do not discuss many policy implications, they emphasize the harm that cuts to these programs may do and promote adaptable reforms that quickly supplement income during recessionary times.

The Systems to Family Stability (SFS) National Academy was an OFA initiative that consisted of eight teams (comprised of state TANF agencies, OFA representatives, and subject matter experts) that were organized to design and build collaborative systems within and across agencies to improve family economic security. In this second of three videos that were produced as a result of this initiative, leaders from the SFS National Policy Academy offer advice and ideas on supporting change.

The Systems to Family Stability (SFS) National Academy was an OFA initiative that consisted of eight teams (comprised of state TANF agencies, OFA representatives, and subject matter experts) that were organized to design and build collaborative systems within and across agencies to improve family economic security. In this first of three videos that were produced as a result of this initiative, SFS National Policy Academy participants share practical tips and ideas based on how they implemented strategies to expand their agency's capacity and support system-wide changes.

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.