Project Summary
As a data scientist and computational social scientist, I enjoy working with collaborators from many different fields, including sociologists, economists, social psychologists, computer scientists, engineers, and more. These partnerships let me step outside my core research in the Science of Science and explore new questions and areas.
Through these collaborations, I apply computational and data-driven methods to a range of questions across the social sciences, spanning topics such as bias in media coverage, inequality in the labor market, and the social effects of new technologies, from artificial intelligence to digital infrastructure.
Publications
- Zhe Gong, Bedoor AlShebli, Jimmy Chih-Hsien Peng. “The Social Dilemma of Load Shedding in Community Grids with Vulnerable Populations”. accepted, iScience (2026)
- Hazem Ibrahim et al, “Perception, performance, and detectability of conversational artificial intelligence across 32 university courses”. Scientific Reports (2023).
- Moumena Chaqfeh, Rohail Asim, Bedoor AlShebli, Muhammad Fareed Zaffar, Talal Rahwan, Yasir Zaki. “Towards a World Wide Web without digital inequality”. Proceedings of the National Academy of Sciences (2023).
- Marcin Waniek, Navya Suri, Abdullah Zameek, Bedoor AlShebli, Talal Rahwan, “Human intuition as a defense against attribute inference”. Scientific Reports (2023).
- Marcin Waniek, Gururaghav Raman, Bedoor AlShebli, Jimmy Chih-Hsien Peng, and Talal Rahwan. “Traffic networks are vulnerable to disinformation attack”. Scientific reports (2021).
- Matthew J. Salganik et al. “Measuring the predictability of life outcomes with a scientific mass collaboration”. Proceedings of the National Academy of Sciences (2020).
- G Raman, B AlShebli, M Waniek, T Rahwan, JCH Peng. “How weaponizing disinformation can bring down a city’s power grid”. PLOS One (2020).
- Ahmad AlabdulKareem, Morgan R. Frank, Lijun Sun, Bedoor AlShebli, César Hidalgo, and Iyad Rahwan. “Unpacking the polarization of workplace skills”. Science Advances (2018).
Works in Progress
- Keyu Cui, Fengyuan Liu, Yuan Yuan, Bedoor AlShebli, Shan Liu, and Xitong Li. “Women Experience a Compound Disadvantage When Adopting AI in Scientific Research”.
- Wifag Adnan, Bedoor AlShebli, Pauline Corblet, Shehryar Subhani. “Exploring Gender Biases in Job Promotion Rates”.
- Fengyuan Liu, Bedoor AlShebli, Talal Rahwan, Fabian Braesemann. “Novelty amplifies the role of founder capability and team diversity in startup success”.
- Shahan Ali Memon, Soham De, Sungha Kang, Riyan Mujtaba, Nic Weber, Bedoor AlShebli, Jaime Snyder, and Jevin D. West. “From Job Titles to Jawlines: How AI Imagines Your Face from Your CV”.
- Bedoor AlShebli, Bruno Gabriel Salvador Casara, Anne Maass. “Journalistic Biases in Media Coverage of War Victims”.
- Kareem El-Rafei, Mashoumi Sharmin, Shameem Ahmed, and Bedoor AlShebli. “Analyzing the Divide Between Medical and Social Research on Autism”.