Measuring and Modeling Impact in Evaluations

Talata Sawadogo-Lewis is a Research Associate at Johns Hopkins University, where she focuses on the evaluation of maternal and child health programs in low- and middle-income countries. Her work emphasizes health equity, particularly gender equity, in health initiatives. Talata is experienced in both qualitative and quantitative research methods, contributing to the development of assessment tools and conducting surveys that inform health program planning. Her research aims to enhance the effectiveness of health interventions and ensure that they address the needs of diverse populations.In addition to her research, Talata teaches courses such as "Household Surveys for Program Evaluation in LMICs" and "Measuring and Modeling Impact in Evaluations" on Coursera. Her commitment to improving health outcomes through rigorous evaluation practices makes her a valuable contributor to the field of public health.

Dr. Neff Walker is a Senior Scientist in the Department of International Health at the Johns Hopkins Bloomberg School of Public Health, where he specializes in the evaluation of large-scale reproductive, maternal, newborn, and child health (RMNCH) programs. With extensive experience in modeling the impact of health interventions, Dr. Walker serves as the Principal Investigator for significant projects such as RADAR and the Lives Saved Tool (LiST). His prior roles include four years at UNICEF as a Senior Advisor for estimation and modeling of HIV/AIDS impacts, as well as serving as the focal point for the Child Health Epidemiology Reference Group (CHERG). Dr. Walker's expertise in developing standard methods for estimating disease burden has been pivotal in shaping global health strategies.In addition to his research contributions, Dr. Walker teaches courses like "Analysis and Interpretation of Large-Scale Programs," "Evaluating Public Health Programs at Scale," and "Measuring and Modeling Impact in Evaluations" on Coursera. His dedication to advancing public health through rigorous evaluation and modeling makes him a leading figure in global health research.