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Daniel de Kadt
Social and data science researcher at the University of California, Merced
Daniel de Kadt is a data and social scientist specializing in human behavior with a focus on Southern Africa.
His research interests encompass experimental and quasi-experimental methodology, surveys, text and spatial data, and statistical learning.
He has published work in prestigious scholarly journals, including Nature, showcasing his expertise.
Daniel de Kadt has an educational background that includes a PhD in Political Science and Government from the Massachusetts Institute of Technology, an MPhil in Comparative Government from the University of Oxford, and a BA (Hons) in Linguistics and Economics from the University of KwaZulu-Natal.
Professionally, he has held positions such as Assistant Professor at the University of California, Merced, and has previous experience as a Research and Teaching Assistant at MIT, a Research Intern at the Helen Suzman Foundation, and a Junior Lecturer at the University of KwaZulu-Natal.
