Bedoor AlShebliView profile
Assistant Professor
Bedoor AlShebli is an Assistant Professor of Computational Social Science at New York University Abu Dhabi (NYUAD), affiliated with the Division of Social Science. She holds a PhD in Interdisciplinary Engineering from Masdar Institute of Science and Technology, an MSc in Computer Science from the University of Illinois Urbana-Champaign, and a BSc in Computer Science from Kuwait University. BSc in Computer Science – Kuwait University MSc in Computer Science – University of Illinois Urbana-Champaign PhD in Interdisciplinary Engineering – Masdar Institute of Science and Technology (Khalifa University) Her research lies at the intersection of data science, machine learning, and social science, with a strong focus on the Science of Science . She investigates how diversity—particularly ethnic and gender diversity—affects scientific collaboration and impact, and examines structural inequities in academic publishing. Her work also explores disinformation in socio-technical systems, AI research collaboration between global powers, and the career trajectories of postdoctoral researchers. Her recent publications, appearing in Nature Human Behavior , Nature Communications , Science Advances , and PNAS , reveal trends in academic equity, scientific collaboration, and the use of computational methods to study social systems. Many of her studies employ large-scale data analysis and network science to uncover systemic patterns in science and society. Nature Human Behavior (2023): Gender inequality and self-publication among academic editors PNAS (2023): Underrepresentation of non-white scientists in editorial roles and citation gaps Scientific Reports (2022): Beijing’s central role in global AI research PNAS (2025): Postdoc productivity as a predictor of academic success Nature Human Behavior (2025): Impact of retractions on publishing careers Her research has been widely covered in Nature , Physics World , Forbes , Inside Higher Ed , and APS Physics Magazine , highlighting its societal relevance. She has contributed to policy discussions, including a policy brief on international science faculty in Saudi Arabia. She actively mentors undergraduate students through the Computer Science Capstone program and teaches courses in Computational Social Science and Applied Data Science. She co-organized the Winter Institute of Computational Social Science at NYUAD in 2024, fostering regional capacity in data-driven social research. Dr. AlShebli leads a research effort that combines rigorous computational methods with deep social inquiry, contributing to both scientific understanding and policy-relevant insights on equity and innovation in science.








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