Yaxuan (Shelly) Yin
👋 Hi, I'm Yaxuan (Shelly). I am a Ph.D. candidate in Information Science at the University of Wisconsin–Madison, where I work with the Collaborative Computing Group (MadCollab) under the guidance of Dr. Jacob Thebault-Spieker. Prior to my Ph.D., I earned a Master's degree in Urban Data Science from New York University.
My research examines how human-generated data and the infrastructures that shape its production interact to reinforce, and in some cases reshape, existing knowledge gaps and contribution inequalities. My forward-looking research agenda centers on (1) making the value of individual contributions visible through the lens of large language models, (2) empowering contributors to leverage that value, and (3) helping communities critically engage with how platforms like Wikipedia are being transformed in the LLM era and how to foster healthier, more equitable contribution ecosystems.
In collaboration with Dr. Shamya Karumbaiah at the Responsible AI for Learning (TRAIL) Lab, I also pursue a parallel research thread on Responsible AI in Education. This work (1) contextualizes how educators perceive and navigate bias and harms in teaching and learning, (2) develops audit tools that support educators in identifying and evaluating AI behavior and bias, (3) leverages audit data to inform model refinement in domain-specific contexts, and (4) employs participatory design to surface stakeholder values and embed them into the development of responsible AI systems.
News
Publications
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Productivity or Equality? Tradeoffs in Volunteer Microtasking in Humanitarian OpenStreetMapKnowledge ProductionACM CSCW 2024
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The Effect of Population Density on Remote Humanitarian Mapping Activities: A Triple‑Difference AnalysisKnowledge ProductionACM CSCW 2025
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Beyond "Geo" HCI: Exploring Cultural Dimensions of Disparity in OpenStreetMap Road Safety MetadataKnowledge ProductionACM CSCW 2025
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Beyond Access: Contextualizing the Benefits of Broadband through Contributor Dynamics on WikipediaKnowledge ProductionACM CHI 2026
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Toward Teacher‐Centered AI Design: Exploring the Role of Pedagogical Values and Contextual Factors in K‐12 Teachers' Perceptions of Responsible AIResponsible AI in Education🏅 Best Paper NominationCSCL 2025
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AIBAT: AI Behavior Analysis Tool for Teacher-Driven Contextual Evaluation of Language Models in EducationResponsible AI in Education🏅 Best Paper NominationAIED 2025
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Responsible AI in Education: Understanding Teachers' Priorities and Contextual ChallengesResponsible AI in EducationACM FAccT 2025
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Empowering Teachers to Design AI Roles for Work: An Empirical Study of Teachers' AI Role Design PracticesResponsible AI in EducationCHIWORK 2026↗ Source coming soon ⤓ Full PDF
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What Constitutes AI Harms and/or Unfairness? An Empirical Analysis of Teacher Deliberation with a Fairness Elicitation ScaffoldResponsible AI in EducationAIED 2026↗ Source coming soon ⤓ Full PDF
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When AI Breaks, Teachers Repair: Pedagogical Repair Work in Situated Classroom PracticeResponsible AI in EducationACM FAccT 2026
Posters, Works-in-Progress & Workshop Papers
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Understanding Perceptions of the Reddit Reaction Mechanism in Political SubredditsACM CSCW 2024 — Extended Abstract
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Redefining Value: Wikipedia's Role in Dataset Governance for Foundation ModelsACM CSCW 2025 — Workshop Paper↗ Source coming soon ⤓ Full PDF
Awards, Fellowships & Grants
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2025
Best Paper Nomination — AIBAT @ AIED 2025 ↗ Paper
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2025
Best Paper Nomination — Responsible AI in Education @ CSCL 2025 ↗ Paper
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2025
Lambda's Research Grant
- 2024
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2024
Graduate FellowsThe Institute for Diversity Science, UW–Madison
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2022
Fellow ResearcherCenter for Advancing Safety of Machine Intelligence, Northwestern University
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2022
Google Computer Science Research MentorshipGoogle