The Wells-Du Bois Protocol

About the Authors

Thema Monroe-White

Thema has over 10 years of combined evaluation, research and data analytics expertise from her years as a consultant, nonprofit leader, and instructor. Dr. White’s research is concerned with broadening participation in STEM-C fields, with a special emphasis on information technology, analytics and data science. She is particularly interested in the relationship between technology, entrepreneurship and the economic empowerment of underrepresented people of color. She presents regularly at professional and academic conferences and publishes in a wide variety of journals pertaining to equity and inclusion in STEM education, social entrepreneurship and innovation. Dr. White holds a PhD in Science, Technology and Innovation Policy from the Georgia Institute of Technology as well as Master’s and Bachelor’s degrees from Howard University.

Jesse D. Lecy

Jesse’s research focuses on managing public and nonprofit organizations for sustainability and impact. He examines the life cycle of nonprofits and NGOs including the entrepreneurial and start-up process, environmental conditions that support scale and sustainability, and dimensions of competition that lead to organizational decline or failure. A central theme in the work is how the dynamics of economic markets for grants shape nonprofit behaviors and impact program quality, as well as how public and nonprofit sector organizations conceptualize, measure, and report on effectiveness. He actively promotes open science in academics and data science in the public and nonprofit sectors. He is a co-founder of the Nonprofit Open Data Collective, Data Science for Public Service (DS4PS), and the ARNOVA Data and Analytics Section. He recently launched a new M.S. in Program Evaluation and Data Analytics at Arizona State University, a degree tailored to a social science audience that was designed to meet the growing demand for analytical skills in the public sector. He teaches courses in management, statistics, program evaluation, data science, GIS, and urban policy.