The Temporary Assistance for Needy Families (TANF) Data Collaborative Pilot Initiative is a component of the TANF Data Innovation project. The 30-month pilot offered technical assistance and training to support cross-disciplinary teams of staff at eight state and county TANF programs in the routine use of TANF and other administrative data to inform policy and practice. This collection of eight profiles summarizes the data analytics projects undertaken by teams from California, Colorado, Michigan, Minnesota, New Jersey, New York, Utah, and Virginia. Each profile provides project-specific details for each pilot, including the research questions, data landscape, approach and research methods, and initial findings and next steps as well as an overview of the state TANF program.

In 2018, change agents within the Camden County (New Jersey) Department of Corrections introduced a five-pronged community engagement strategy to reduce the use of jail and improve reentry outcomes for people released from incarceration. Central to this strategy are the County’s NuEntry Opportunity Specialists, previously incarcerated individuals who serve as credible messengers to people released from incarceration and who work to reduce the stigma of incarceration through community education and outreach. This case study describes Camden County’s community engagement strategy and examines its implementation and reported impact. Lessons and recommendations derived from implementation of the county’s community engagement strategy and its sustainability efforts are also discussed.

In response to food insecurity’s significance and the opportunity costs of not comprehensively addressing it, the Robert Wood Johnson Foundation and the Food Research & Action Center embarked on an Assessment of the Landscape of Hunger and Its Solutions in New Jersey. This statewide assessment of New Jersey’s existing food access and hunger landscape aims to inform state and local policymakers, state agency leaders, community and nonprofit groups, philanthropic organizations, leaders in the private sector, and community members about which policies, systems changes, cross-sector outreach, and programmatic initiatives, if implemented in the coming years, would result in the most significant gains in food security.

This Administration for Children and Families announcement highlights $6 million in funding for 10 jurisdictions to advance the use of predictive risk modeling in child welfare. These jurisdictions will pilot technology aimed at using data to help child welfare agencies identify patterns and potentially recognize situations where families may benefit from earlier or more targeted support.

This announcement is useful for Temporary Assistance for Needy Families (TANF) leaders and staff who are thinking about how to strengthen coordination across systems and improve early intervention efforts. The announcement may encourage practitioners to consider how data can support human judgment, relationship-building, and direct engagement with families. Ultimately, it offers a window into how child welfare systems are evolving and what that may mean for the broader network of services that support family stability.

Temporary Assistance for Needy Families (TANF) programs often work alongside workforce systems to help families prepare for and find employment, but navigating those systems can be challenging when programs operate separately. This Jobs for the Future report looks at how Michigan, New Jersey, and Ohio are strengthening workforce systems and highlights an integrated service delivery model in Utah. The examples show how states can coordinate programs, improve service delivery, and use their flexibility to make workforce systems more responsive to people’s needs.

For TANF practitioners, this resource provides insights into what states are already doing rather than simply describing what workforce modernization should look like. The case studies can help TANF leaders identify ideas that may be adaptable in their own programs, including stronger coordination across agencies, more connected services, and approaches that make it easier for people to access employment and training opportunities. The report is a useful resource for practitioners looking for concrete examples of how workforce systems can become more flexible, coordinated, and focused on helping people reach quality employment.

Technology is increasingly shaping how human services are delivered, and this resource highlights how states and localities are using tools like AI to improve outcomes. For TANF practitioners, the value lies in seeing what’s possible—especially when it comes to reducing administrative burden and improving how clients access services. It helps bridge the gap between innovation and day-to-day practice, offering examples that can inform program improvements and spark new approaches to service delivery.

The Family Resource Simulator shows how earnings, benefits, and expenses interact as circumstances change. It makes “what if” scenarios visible in a way that is difficult to capture through conversation alone. In Temporary Assistance for Needy Families (TANF) settings, the simulator can support planning discussions by helping families see how small changes in work hours, income, or benefits affect overall stability.

The National Center for Children in Poverty’s Basic Needs Budget Calculator breaks down what it actually costs to meet essential needs like housing, food, childcare, and transportation. It highlights gaps between wages, benefits, and real household expenses. Temporary Assistance for Needy Families (TANF) practitioners can use it to support budgeting work that feels concrete and locally relevant, helping families understand what stability requires in practical terms.

Research from SmartAsset explores what it takes financially for one parent to stay home and the other to support the household. It adds context to the tradeoffs families face when making caregiving and work decisions. Within Temporary Assistance for Needy Families (TANF) services, it can support more realistic financial planning discussions and help families think through how income choices affect stability, caregiving roles, and long-term goals.

The MIT Living Wage Calculator estimates the income families need to cover basic expenses based on where they live and family size. It helps clarify a common disconnect in Temporary Assistance for Needy Families (TANF) work—employment alone does not always equal economic stability. Practitioners can use it to ground conversations about self-sufficiency in local reality, making it easier to connect job planning and financial goals to actual household needs and improve family stability.