To assist states in closing digital skill gaps and preparing for digital equity planning, this brief offers key questions and resources for state leaders to consider.
Accessing safety net benefits can involve complicated and duplicative processes that create barriers to access. Using cross-enrollment strategies can minimize the difficulties community members face in getting access to life-saving resources.
This presentation from Steph White, Cross Enrollment Coordinator at the Michigan Department of Health and Human Services offers an in-depth example on implementing cross enrollment with WIC and general tools for cross enrollment.
This report highlights best practices and lessons learned from Kansas' partnership with Delivering Change to improve SNAP and WIC access in seven counties through innovative data sharing and targeted outreach.
American Public Human Services Association (APHSA)
Governments and leaders are required to regulate change while mitigating risk, so IFTF's Governance Futures Lab developed this decision-making guide for them. In a world where technologies are transforming faster than we can keep up, anticipatory governance is crucial in order to safeguard against both the intended and unintended effects of technological advances.
This case study highlights Michigan’s integrated, data-driven approach to reducing food insecurity through cross-agency collaboration, referral tracking, and targeted outreach.
American Public Human Services Association (APHSA)
Drawing on interviews and convenings with experts and practitioners from the field of public interest technology, this report contains recommendations across five core priority action areas for cross-sector innovation and collaboration to improve state benefits systems through procurement practices.
A 2023 playback from the city of London’s Office of Technology and Innovation of recent efforts to improve data and technology innovation across the city.
City of London Office of Technology and Innovation (LOTI)
This academic paper examines how federal privacy laws restrict data collection needed for assessing racial disparities, creating a tradeoff between protecting individual privacy and enabling algorithmic fairness in government programs.
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT)
