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Spotlight On: Food and Nutrition
Spotlight On
Abt Global supports work in child nutrition to improve the availability of, access to, and consumption of nutritious food in children worldwide.
Abt Named Finalist in CMS “Crushing Fraud” Innovation Challenge
News
Abt Global has been selected as one of 10 finalists in the Centers for Medicare and Medicaid Services’ Crushing Fraud Chili Cook-Off.
Success Boston: Evaluating Transition Coaching for College Success
Project
A 2008 report showed only 35 percent of Boston public school graduates who had enrolled in college had completed a postsecondary credential within seven years of graduation. To improve completion rates, the Boston Foundation, the city of Boston, Boston…
SPECIATE: EPA's Repository of Volatile Organic Gas and Particulate Matter Speciation Profiles of Air Pollution Sources
Project
The SPECIATE database is the U.S. Environmental Protection Agency’s (EPA) repository of volatile organic gas and particulate matter (PM) speciation profiles of air pollution sources. The data are used to guide regulatory analysis and need to be kept up…
Spotlight On: Adaptive Management
Spotlight On
Abt-led programs use adaptive management processes such as rapid cycle learning and strategy testing to promote a learning culture and deliver social impact.
Nepal’s MEOR Program Monitors Health Outcomes
Project
Despite its post-conflict legacy and the 2015 earthquake, Nepal continues to achieve substantial health progress. Critical health indicators are improving, including under-five and maternal mortality rates, but there are dramatically changing burden-of…
The Effectiveness of Different Approaches for Moving Cash Assistance Recipients to Work: Findings from the Job Search Assistance Strategies Evaluation
Publication
Homelessness & Public Health: How Can We Close the Gap?
Podcast
Abt’s Natalie Matthews and Terri Mota connect the dots between homelessness and public health and discuss how we can do more moving forward in this podcast.
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.