Adel Daoud

Adel Daoud is a Senior Associate Professor at Linköping University's Institute for Analytical Sociology (Department of Management and Engineering) and an Affiliated Associate Professor in Data Science and Artificial Intelligence for the Social Sciences at Chalmers University of Technology. His research focuses on global poverty, political economy, and causal inference using machine learning. He leads the AI and Global Development Lab, combining AI and earth observation to study poverty dynamics in Africa.

Education: PhD in Sociology (2011, University of Gothenburg), M.A. in Sociology (2006), and pedagogical training for higher education (2011-2012). Former positions include roles at Harvard University, the University of Cambridge, and the Alan Turing Institute.

Research emphasizes causal mechanisms linking economic shocks, governance, and child poverty. Methodological innovations include integrating satellite imagery with machine learning for poverty measurement. Major grants include SEK 18 million for historical poverty analysis via satellite data.

Awards include the Academy Research Fellowship (2018) and Young Academy of Sweden membership (2022-2027). His work spans 150+ publications in journals like PNAS, World Development, and Sociological Methods & Research. Teaching covers quantitative methods, political economy, and social theory.

Labs: AI and Global Development Lab (focusing on satellite-based poverty analytics). Podcast: 'The Journeys of Scholars' interviews top academics on research strategies. Active in policy advocacy through the Young Academy of Sweden.