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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.

Abt Global’s staff has developed and implemented spatially specific modeling approaches for the U.S. Environmental Protection Agency (EPA) to quantify, and often estimate the cost of, the impacts of climate change on a number of sectors and dynamics in…

As the single largest payer for health care in the United States, the Centers for Medicare & Medicaid Services (CMS) collects massive amounts of data. CMS has over 6,000 employees nationwide responsible for programs that provide insurance coverage to…

We combine topical expertise, environmental science, data analytics, & engineering to help agencies modernize systems & use data to support better decisions.

Abt Global offers its clients around the world deep expertise in monitoring. It’s a key component of our rigorous approach to performance management.

Tests in Cote d’Ivoire show vector susceptibility to ITNs treated with chlorfenapyr to be much higher than for pyrethroids alone or with piperonyl butoxide.

A new AHRQ guide shares information and guidance for multi-organization groups to provide quality improvement programs for primary healthcare providers. 

To improve the Reemployment Services and Eligibility Assessments (RESEA) program’s success in helping Unemployment Insurance claimants return to work more quickly, Congress introduced requirements that RESEA programs be supported by evidence of…

Findings of the Abt-led Study of Nutrition and Activity in Child Care Settings (SNACS) suggest ample room for improvement in provision of physical activity opportunities during child care.

Abt-led programs use adaptive management processes such as rapid cycle learning and strategy testing to promote a learning culture and deliver social impact.