BEDOOR ALSHEBLI
Computational Social Science
I am an Assistant Professor of Computational Social Science at New York University Abu Dhabi, UAE. I received my PhD in Interdisciplinary Engineering in 2017 from Masdar Institute of Science and Technology, and my MSc in Computer Science from the University of Illinois at Urbana-Champaign. My research focuses on using data science techniques to study social phenomena, with a particular emphasis in the Science of Science. I am interested in the social and economic benefits of diversity, as well as the dynamics of social interaction and cohesion, and frame social science problems in the contexts of data science, big data, and applied machine learning.
Cumulatively, my work contributes to the fields of computational social science, data science, and machine learning, and has appeared in major academic journals, including Nature Human Behavior, Nature Communications, Science Advances, and Proceedings of the National Academy of Sciences. It has also been featured in Nature News, Times Higher Education, Physics World, New Scientist, and many other outlets.
Latest News
New Publication
Check out our latest publication “Postdoc publications and citations link to academic retention and faculty success”. Published in PNAS.
New Publication
Check out our latest publication “China and the U.S. produce more impactful AI research when collaborating together”, accepted in Scientific Reports.
Presentation
Petter Holme presented our latest work “Where postdoctoral journeys lead” in IC2S2 2024.
Presentation
Michael Liu presented our latest work “Editors handle their collaborators’ submissions despite explicit policies” in ICSSI 2024 and later again in IC2S2 2024.
Announcement
NYUAD hosted the first Winter Institute of Computational Social Science in Abu Dhabi January 8-19, 2024.
New Publication
Our paper “Human intuition as a defense against attribute inference” got accepted in Scientific Reports
Announcement
Apply to attend the 1st Winter School in Computation Social Science (WICSS) in the Middle East. Deadline is August 31st, and it will be held at NYU Abu Dhabi from January 8 to 19, 2024!!
Presentation
Maria Sahakyan presented “Explainable Artificial Intelligence as a Generic Data Analysis Tool|” at IC2S2 2023 in Copenhagen.
Presentation
Michael Lui presented “Non-White scientists appear on fewer editorial boards, spend more time under review, and receive fewer citations” at ICS2S 2023 in Copenhagen.
Latest Media Coverage
PhysOrg
Publishing during postdoc years tied to later academic career success
Featured research
Yueran Duan, Shahan Ali Memon, Bedoor AlShebli, Qing Guan, Petter Holme, and Talal Rahwan. “Postdoc publications and citations link to academic retention and faculty success.” Proceedings of the National Academy of Sciences (2025).
Times Higher Education
Postdoc publications ‘more important for career than PhD success’
Featured research
Yueran Duan, Shahan Ali Memon, Bedoor AlShebli, Qing Guan, Petter Holme, and Talal Rahwan. “Postdoc publications and citations link to academic retention and faculty success.” Proceedings of the National Academy of Sciences (2025).
Nature News
More than 40% of postdocs leave academia, study reveals
Featured research
Yueran Duan, Shahan Ali Memon, Bedoor AlShebli, Qing Guan, Petter Holme, and Talal Rahwan. “Postdoc publications and citations link to academic retention and faculty success.” Proceedings of the National Academy of Sciences (2025).
The Scientist
Postdocs Who Publish Hit Papers Are More Likely to Stay and Succeed in Academia
Featured research
Yueran Duan, Shahan Ali Memon, Bedoor AlShebli, Qing Guan, Petter Holme, and Talal Rahwan. “Postdoc publications and citations link to academic retention and faculty success.” Proceedings of the National Academy of Sciences (2025).
Nature Career News
“Racial inequalities in journals highlighted in giant study”
Featured research
Fengyuan Liu, Talal Rahwan, Bedoor AlShebli. “Non-White scientists appear on fewer editorial boards, spend more time under review, and receive fewer citations.” Proceedings of the National Academy of Sciences (2023).
University World News
“Non-white scientists spend more time under review – PNAS”
Featured research
Fengyuan Liu, Talal Rahwan, Bedoor AlShebli. “Non-White scientists appear on fewer editorial boards, spend more time under review, and receive fewer citations.” Proceedings of the National Academy of Sciences (2023).