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Abt’s Diane Paulsell and Chloe Greene discuss how data, analysis, and technical assistance can combat systemic racial inequities in this podcast.

From pretrial detention to community supervision, Holly Swan and Sharmini Radakrishnan discuss how we can eliminate racial bias in the justice system.

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.

Income inequality. Housing affordability. Education achievement gaps. These social determinants of health can impact families over generations. How do we close the opportunity gap to ensure families have the resources and capabilities they need to thrive?

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

To reform the energy sector in developing countries, good governance is a must. Energy expert Dana Kenney and governance guru Tiernan Mennen discuss the challenges of—and solutions for—implementing sound environmental approaches and energy security in “the gray areas” between local and national governments.

Climate adaptation. Agriculture. Sustainability. They’re interconnected, but often addressed independently. Abt’s Sarah Kozyn and Lorine Giangola ask what if they combined their work with clients such as Feed the Future and CEADIR to address these issues holistically.

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.