Specializations
- Science of AI-mediated Science
- AI Agents
- Science of Science
Courses
- INFO 371 - Advanced Methods In Data Science
Biography
Shahan Ali Memon is a Predoctoral Instructor and a PhD Candidate at the University of Washington Information School. He is also a visiting scholar at New York University. He studies how society, politics, and technology shape the way science works. This mostly involves exploring and merging large-scale datasets to understand how scientists collaborate, how social factors such as reputational damage or geopolitical tensions affect these collaborations, and what makes for success or failure in science. His recent research has focused on how artificial intelligence (AI) is changing the institution of science, whether it can help mediate scientific discoveries, and whether AI agents can autonomously work together to do scientific research. His work has been published and covered by top venues including Nature, Nature Human Behaviour, PNAS, and Scientific Reports. Shahan has also served a member of the AI Ethics Advisory Committee for the Washington State Office of Superintendent of Public Instruction (OSPI)
Education
- MS, Language Technologies, Carnegie Mellon University, 2020
- BS, Computer Science, Carnegie Mellon University Qatar, 2017
- Ph D, Information Science, University of Washington
Publications and Contributions
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Journal Article, Academic JournalCharacterizing the effect of retractions on publishing careers (2025)Nature Human Behavior
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Conference Workshop PaperFrom job titles to jawlines: Using context voids to study generative AI systems (2025)arXiv preprint arXiv:2504.13947
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Conference PaperPostdoc Publications and Citations Link to Academic Retention and Faculty Success (2025)Proceedings of the National Academy of Sciences (PNAS), 122(4)
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Journal Article, Professional JournalChina and the U.S. produce more impactful AI research when collaborating together (2024)Nature Scientific Reports