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How do we defeat tuberculosis? With sustainable solutions. With support from the private sector. With data.

In this month’s episode, Abt experts Jill Berkowitz and Sung-Woo Cho discuss how machine learning can amplify our work combatting malaria—25 million people protected to date—by applying what we’ve learned to other infectious diseases.

Be it outbreak, epidemic, or pandemic—human or zoonotic—the goal is to get reliable information on infectious diseases, quickly. Abt experts Laura Edwards and Sung-Woo Cho discuss strategies for harnessing machine learning and data visualization to provide actionable information—at scale—that can help stem a health crisis.

Agencies need robust contact systems & processes tailored to citizens’ needs in order to connect with them in a multi-channel, two-way stream of communication.

Abt draws upon years of national housing experience and expertise to design solutions tailored for New York City.

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’s digital and data services support all aspects of policy research, monitoring, and program evaluation through an array of digital tools and technologies.

Abt uses AI-enabled code conversion to help federal agencies modernize legacy systems securely, efficiently, and at scale.