In this updated primer, the DBN introduces the concept of digital identity, and provides brief snapshots of digital identity-related developments internationally and in the U.S.
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.
HOME-STAT partners existing homeless response and prevention programs with new innovations designed to better identify, engage, and transition homeless New Yorkers to appropriate services and, ultimately, permanent housing.
Minnesota is a good example of an organization that started small in its drive to integrate benefits programs. For instance, its recent statewide rollout of its online integrated benefit application website, MNbenefits.mn.gov, started as a pilot in 2020 with Code for America. The pilot encompassed two counties including Hennepin County, where Minneapolis is located. The pilot later expanded to four counties, then 16 and a tribal nation. The final roll out, which took 12 months to implement, included the state’s 87 counties and three tribal nations.
This Urban Institute report examines how public investments in children's health, education, and welfare yield significant short- and long-term benefits for both individuals and society.
This report shines a light on all the efforts that keep Open Data running, raises awareness about the latest information available from the City, and provides a glimpse into the upcoming changes and additions to our platform.
This report examines the extent to which proposed options included in the Student Food Security Act, Let Students Eat proposal, and the EATS Act impact specific demographics of students, either by increasing access or by streamlining the process for qualifying students to demonstrate eligibility.
This study explores the causal impacts of income on a rich array of employment outcomes, leveraging an experiment in which 1,000 low-income individuals were randomized into receiving $1,000 per month unconditionally for three years, with a control group of 2,000 participants receiving $50/month.
This paper concludes that the substantial COVID-19 unemployment insurance expansion had limited disincentive effects on job searches, particularly among lower-income individuals, despite high wage replacement rates.
