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Young Baltimore parents feel immediate effects from guaranteed income
News
Abt is evaluating guaranteed income pilots in several cities, including Baltimore. In this piece, Abt researchers Hannah Thomas and Randall Juras explain that we’ll be collecting “data on everything from spending to housing effects to more ‘squishy’ questions like the effects on peoples’ mental health and time spent with family,” which, of course, we’ll share in our findings.
Serving Unemployment Insurance Claimants During a Public Health Crisis: The Reemployment Services and Eligibility Assessment (RESEA) Program and the COVID-19 Pandemic
Publication
This brief explores COVID-19 challenges to Reemployment Services and Eligibility Assessment program operations and state strategies to address them.
2026 Health Information and Management Systems Society (HIMSS) Global Health Conference
Event
Abt is heading to Las Vegas to meet health agencies and tech partners reshaping how public programs use data for better decisions, faster insight, and stronger outcomes for the people they serve.
Public-Private Teaming to Pay for Health
Impact Brief
USAID’s Abt-led International Health Program works with public and private stakeholders to mobilize resources for health in the DRC.
AI-Enabled Platform for Soil Data Analysis
Impact Brief
Abt Digital Solutions built the Dynamic Soils Hub to modernize how USDA analyzes and applies soil data for conservation impact.
Replicating the Safer Sex Intervention: 9-Month Impact Findings of a Randomized Controlled Trial
Publication
Uzbekistan Launches New TB Funding Mechanism
Impact Brief
Uzbekistan is moving from paying TB hospitals based on occupied beds to compensation based on the number of patients treated.
Fighting Malaria Requires Many Strategies
Impact Brief
The Zimbabwe Assistance Program in Malaria reduced malaria cases through help with distribution of bednets, training, and behavior change communications.
Tackling Antimicrobial Resistance: Integration and Systems Strengthening
Blog
Use of Monte Carlo Simulation to Inform Design Decisions for Pairwise Cluster Randomization
Publication