Bio

Adel Daoud is Professor in Computational Social Science at the Institute for Analytical Sociology, Linköping University, and an Affiliated Associate Professor in Data Science and Artificial Intelligence for the Social Sciences, Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden. Previously he held positions at Harvard University, Stanford University, the University of Cambridge, the Max Planck Institute for the Studies of Societies, and the Alan Turing Institute.

His research has both a social scientific and methodological orientation. For the social sciences, he researches global development, focusing on global poverty and health. Daoud implements novel methodologies in machine learning and causal inference. He has published in journals such as PNAS, Science Advances, World Development, International J of Epidemiology, and Ecological Economics, and machine-learning conferences such as the Association for the Advancement of Artificial Intelligence (AAAI) and the North American Chapter of the Association for Computational Linguistics (NAACL).

Daoud leads The AI and Global Development Lab (more information at www.aidevlab.org). The vision of the Lab is to “combine AI, earth observation, and socio-economic theories to analyze sustainable and human development globally.” The Lab’s activities are a collaborative effort at the Universities at Harvard, Austin at Texas, Chalmers, and Linköping. The Lab is mainly funded by the Swedish Research Council.