The DevLab@Duke is an applied learning environment that focuses on connecting social scientists at Duke who work in international development with the community of development practitioners to create rigorous programming, collect monitoring and evaluation data, and conduct impact evaluations of development projects. The lab connects faculty and graduate students from several departments and schools at Duke who have extensive experience in both international development and program evaluation, including a broad range of donor activities in the areas of education, health, governance, cross-sectoral programming, environment, labor markets and economic growth.
We have four broad goals:
To give timely input to development practitioners—both donors and implementers—at all stages of project conceptualization, design, implementation and evaluation.
To promote rigorous M&E standards and a strong research foundation for development policy and thereby serve Duke’s mission of developing “knowledge in service to society.”
To bring together and build the Duke community of faculty who are working on applied development, as well as community members outside of international development with expertise pertinent to the tools of rigorous impact evaluation (e.g. engineers, doctors, computer scientists, psychologists).
In addressing these goals, we bring together scholars and students attuned to the research frontier and with advanced capabilities in experimental and quasi-experimental impact evaluation designs, survey design and other data collection tools, and data analytics, including impact evaluation econometrics, web scraping and geospatial analysis. As established social scientists, we are able to identify opportunities for knowledge generation that will benefit the Duke community of scholars and the scientific community more broadly. As academics trained in applied statistics, we are able to offer advice on best practices for cutting-edge program evaluation to practitioners. Our setting also gives us access to a range of experts on the frontier of technology relevant to program evaluation.