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

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!!

Further details

Presentation

Maria Sahakyan presented “Explainable Artificial Intelligence as a Generic Data Analysis Tool|” at IC2S2 2024 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 20204 in Copenhagen.

Award

Our paper “Characterizing the effect of retractions on careers of scientists” won Best Paper Award at ICSSI 2023 in Chicago

Presentation

I presented “Gender inequality and self publication are common among academic editors” at ICSSI 2023

Presentation

I presented “Non-White scientists appear on fewer editorial boards, spend more time under review, and receive fewer citations” at ICSSI 2023

Presentation

Shahan Ali Memon presented our two papers “Characterizing the effect of retractions on careers of scientists” and “China and the US produce more impactful AI research when collaborating together” in ICSSI 2023

Presentation

I presented “The interdependence and knowledge flow between the East and West in Global AI Research” at the WTFNS Workshop 2023 at NYU, New York.

Presentation

Shahan Ali Memon presented “Exploring the impact of scientific retractions on academic reputation” at the WTFNS Workshop 2023 at NYU, New York

Latest Media Coverage

Nature Career News

Racial inequalities in journals highlighted in giant study www.nature.com

“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 www.universityworldnews.com

“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

Physics Racial Inequity in Key Publication Metrics physics.aps.org

“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 physicsworld.com

Science & Development Network

Racial gap ‘impedes publishing by non white scientists’ Asia & Pacific www.scidev.net

“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).

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