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 “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.
Award
Our paper “Characterizing the effect of retractions on careers of scientists” won Best Paper Award at ICSSI 2023 in Chicago
Latest Media Coverage
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).
American Physical Society
“Racial Inequity in Key Publication Metrics”
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).
Physics World
“‘Significant’ inequalities affect non-white researchers when publishing their work”
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).
Science & Development Network
“Racial gap ‘impedes publishing by non-white scientists’”
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).
PhysOrg
“New analysis offers insights into causes of persistent inequities affecting non-white scientists and their research”
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).