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Spotlight On: Machine Learning
Spotlight On
Abt uses machine learning to do things that until recently would have been impossible, such as categorizing a vast amount of unstructured text into main themes or counting mosquito eggs from a smartphone picture using image recognition.
Health Profession Opportunity Grants (HPOG) Impact Study: Technical Supplement to the Evaluation Design Report: Impact Analysis Plan
Publication
Abt Played a Key COVID-19 Role Providing CDC Needed Data
Impact Brief
Abt researchers working for CDC informed national health policy and science with rigorous data gathering on COVID-19 transmission and vaccine effectiveness.
Evaluating Gates Foundation Agronomy Grants
Project
The Bill and Melinda Gates Foundation funded Abt Global to evaluate a selection of five agronomy grants designed by the foundation’s Agricultural Development (AgDev) team. The goal of the evaluation was to analyze results of the work of the soil…
Evaluation & Methods - June 2024
News
Dive into our latest edition of the Evaluation & Methods Digest!
Medicaid Innovation Accelerator Program (IAP): Final Evaluation Report
Publication
Abt’s evaluation of the Medicaid Innovation Accelerator Program (IAP) suggests possible directions for future CMS technical assistance program modifications.
Early Impacts of Compass FSS Program
Publication
Abt’s quasi-experimental evaluations of Compass FSS programs show positive impacts for participants and cost-effectiveness for the program.
BRFSS Data Gets the Jump on Chronic Health Challenges
Project
With health departments at the state and local level, the United States need consistent data to identify trends, track benchmarks and implement solutions at national, state and local scales. The Behavioral Risk Factor Surveillance System (BRFSS) is a…