Biography

Kweku Opoku-Agyemang is an economist and affiliate of the Center for Effective Global Action in the Department of Agricultural and Resource Economics and the Algorithmic Fairness and Opacity Working Group at the Information School at UC Berkeley as well as an affiliate with the International Growth Centre of the London School of Economics and the University of Oxford. Kweku also does consulting based on his research agenda for firms and startups. He was previously a Postdoctoral Associate with Cornell Tech and Cornell University and a Global Poverty and Practice Fellow with the Blum Center for Developing Economies at UC Berkeley. He is the Founder and Economics Research Director of the Development X, Proof Institute,  Machine Learning by Doing, and Caus App Inference research platforms.  He was a Postdoctoral Associate in Agricultural and Applied Economics from the University of Wisconsin-Madison. Kweku holds a Ph.D. in Development (Economics) from the University of Wisconsin-Madison, an M.A. in Economics from Ohio University and a B.A. in Economics from the University of Ghana.

Kweku does research in behavioral economics, development economics, econometrics, and related fields such as machine learning and the internet of things. He is currently interested in themes of artificial intelligence, entrepreneurship and development economics. He has given invited talks to audiences at Stanford University, London School of Economics,  UC Berkeley, University of Oxford, the Econometric Society, the American Economic Association, the Canadian Economics Association and many others. 

As a public speaker, Kweku has given presentations to decision makers at the World Bank, Facebook, as well as for government officials, experts and faculty working on growing an AI community in the greater Middle East and others.  He was Chair of the Canadian Development Economics Study Group session on Credit Markets at the Canadian Economics Association Annual Conference in 2012; a Co-organizer of the 2016 State of the Science: Science of Scaling Conference on Building Evidence to Advance Anti-Poverty Innovations and is currently on the program committee for the ACM SIGCAS Computing and Sustainable Societies conference for June 2020.

Kweku has previously been a Visiting Scholar with the Berkeley Emergent Space Tensegrities Lab at UC Berkeley,  and an affiliate of the Berkeley Institute for Data Science. He is a recipient of an inaugural Development Impact Lab Fellowship and Global Poverty and Practice Fellowship; as well as an MEO Fellowship; the William Thiesenhusen Memorial Award;  the Scott Kloeck-Jensen Fellowship; the Raymond J. Penn Fellowship; the A. Eugene Havens Award;  and others. He previously taught UC Berkeley courses in poverty and development, the ethics, methods and pragmatics of global program evaluation, and on gender and economic development.

He is a co-author of the book Encountering Poverty: Thinking and Acting in an Unequal World, published by the University of California Press. Kweku’s research has been covered by media outlets such as The Economist, The Discovery Channel, and The Huffington Post, and others.