About the authors


Maria Ruth Jones co-founded and now leads DIME Analytics, an initiative to improve the quality, transparency, and reproducibility of empirical research. Her research interests center on survey methods, innovations in measurement, and technology adoption. She created and manages public goods to benefit the global research community, such as Development Research in Practice, the DIME Wiki, and the Manage Successful Impact Evaluations course. Maria joined the World Bank in 2009. Previous roles include coordination of the Global Agriculture and Food Security Program impact evaluation portfolio (2012–16) and a program of impact evaluations with the government of Malawi (2009–11).

::::


Kristoffer Bjärkefur is a Data Scientist Consultant with the Development Impact Evaluation department (DIME) at the World Bank Group. As a member of the DIME Analytics team, Kristoffer works to improve the reproducibility, transparency, and credibility of development research. He combines his backgrounds in development economics research and computer programming to make tools and best practices from the world of computer science more easily available to practitioners in development data. He supports teams in all stages in the life cycle of data and particularly enjoy planning data workflows. In DIME Analytics, he leads the work on data security and privacy.


Luíza Cardoso de Andrade is a Junior Data Scientist with the Development Impact Evaluation department (DIME) at the World Bank Group. Her work on the DIME Analytics team focuses on promoting research transparency and reproducibility practices through trainings and code review. She also works across DIME’s portfolio of impact evaluations to incorporate non-traditional data sources such as high-frequency crowdsourced and web-scraped data. Luíza has also developed original software tools for research, including web-based data interfaces and the ietoolkit and iefieldkit Stata packages. Her research work has focused on agriculture, gender and environmental policy.


Benjamin Daniels is a Fellow at the Georgetown University Initiative on Innovation, Development and Evaluation. His research focuses on the delivery of quality primary health care in developing contexts. His work has highlighted the importance of direct measurement of provider knowledge, effort, and practice. He has supported some of the largest research studies to date using clinical vignettes, provider observation, and standardized patients. Benjamin works with DIME Analytics to improve the transparency and credibility of development research. This work comprises research training and resources like the DIME Wiki and software products like iefieldkit and ietoolkit, among other Stata code tools.