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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.

Migrant and Seasonal Head Start (MSHS) programs provide early childhood education, social and support services to culturally and linguistically diverse migrant and seasonal farmworker families and their children. Since the last nationally representative study of MSHS was conducted almost 20 years ago, there’s an urgent need for an update on MSHS programs and centers, and the farmworker families they serve. Changes in migration patterns, immigration policies and climate conditions may be affecting these children and families in as yet unknown ways, and the MSHS program may have to adapt to their changing needs.

The changing face of governance discourse due to impacts of COVID-19.

Abt’s developed a playbook that illustrates six different types of program theories to help program developers and evaluators visualize program theories.

Midori de Habich is technical director of the Abt-led Local Health System Sustainability Project (LHSS), USAID’s global flagship activity in health systems strengthening.

Abt Global conducts annual online surveys among pregnant women and health care personnel on vaccination use and attitudes toward vaccines.

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.

Abt’s evaluation of Medicare’s AIM found $381.5 million in savings, and raised questions about how those savings—and risks—are shared.