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From Crisis to Control: Sustained Impact of U.S. HIV Investments in Mozambique
Impact Brief
In Mozambique, the largest transition to locally led HIV program in the world is underway.
Comprehensive Opioid, Stimulant, and Substance Use Program (COSSUP) Data and Evaluation Training & Technical Assistance
Project
People with a substance use disorder are overrepresented in the justice system, from the arrest phase to incarceration to the risk for recidivism. For example, more than 10 times as many people in prison (58 percent) and sentenced to jail (63 percent)…
Integrating Employment Services with Substance Use Treatment and Recovery: The Experiences of Five Programs
Publication
An Abt-led report reviews five programs that combine SUD treatment and recovery services with employment services and makes recommendations for practitioners.
Spotlight On: Climate Finance
Spotlight On
Abt Global can help public-and private-sector actors take decisive action to finance climate mitigation and adaptation strategies.
Spotlight On: Digital and Data Services for Research, Monitoring and Evaluation
Spotlight On
Abt’s digital and data services support all aspects of policy research, monitoring, and program evaluation through an array of digital tools and technologies.
Controlling the HIV Epidemic in Mozambique
Project
Mozambique has the eighth highest HIV prevalence in the world, with 12.6 percent of adults living with HIV, and one of the highest HIV mortality rates. The country has made strides in testing people for HIV and providing treatment. But a high proportion…
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: 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.