Dr. Adel Daoud

Associate Professor

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Biography

Adel Daoud is a Senior Associate Professor at the Institute of Analytical Sociology, Linköping University, and an Affiliated Associate Professor in Data Science and Artificial Intelligence in the Social Sciences at Chalmers University of Technology, Gothenburg, Sweden. His research focuses on the intersection of predictive analytics, machine learning, and sociology, particularly the dynamics of poverty and resource allocation in societies. Daoud has held prestigious academic positions at Harvard University, the Alan Turing Institute, and has extensive experience with notable institutions in the UK and Sweden, concentrating on the effects of socio-economic and political shocks on child poverty and well-being. His work innovatively employs methodologies such as machine learning and causal inference to explore population heterogeneities and their implications for health and social policies. He has been published in leading journals including PNAS and World Development, among others.

Research Interests

Experience

Associate Professor

2021-03-01 — Present

Institute of Analytical Sociology, Linköping University • Norrköping, Sweden

Conducts research and teaches in the field of analytical sociology.

Affiliated Associate Professor

2020-06-01 — Present

Chalmers University of Technology • Gothenburg, Sweden

Engages in research and teaching related to data science and artificial intelligence in social sciences.

Academy Research Fellow

2018-01-01 — Present

Royal Swedish Academy Letters, History, Antiquities • Stockholm, Sweden

Undertakes research on socioeconomic issues.

Awards

#

Academy Research Fellow

Requirements for Linköping University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
Prerequisites
Bachelor's degree with a major relevant to the program At least 30 ECTS credits in mathematics/applied mathematics and/or application of mathematics
Application Checklist
  • Certificates and diplomas from previous university studies
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport/ID
  • Syllabus for relevant courses
Specialization Notes

Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.