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Benjamin Xie he|they

Assistant Professor

University of Denver

I design equitable and educational human-data interactions.

I am an Assistant Professor at the University of Denver Department of Computer Science and Affiliate Faculty with the Scrivner Institute of Public Policy. My research interest is in designing critical and equitable human-data interactions to foster learning opportunities and inform policy. I engage with computing education, human-computer interaction, and AI ethics research communities.

I was previously a Postdoctoral Fellow with Stanford University’s Human-Computer Interaction Group and Graduate School of Education and an Embedded Ethics Fellow with Stanford’s Institute for Human-Centered AI and McCoy Center for Ethics in Society. I completed my PhD at the University of Washington Information School with Prof. Amy Ko, where I was a National Science Foundation (NSF) Graduate Research Fellow and also a research intern at non-profit Code.org. Prior to my PhD, I was an MIT EECS-Google Research and Innovation Scholar as an undergraduate and Master’s student at MIT researching with Prof. Hal Abelson and MIT App Inventor.

For more information, see about me, projects, or CV.

If you are a student interested in working with me, please read this page for more information.

Interests

  • Computing Education
  • Human-Computer Interaction (HCI)
  • Critical Data Studies
  • Artificial Intelligence, Ethics, and Society
  • Participatory Design

Education

  • PhD in Information Science, 2022

    University of Washington

  • MEng in Computer Science, 2016

    Massachusetts Institute of Technology

  • BS in Computer Science, 2015

    Massachusetts Institute of Technology

News

Oct 2026: Named DU Public Impact Fellow

Connecting my research and teaching on AI, data centers, and their impacts with community-based organizations, civil servants, and policymakers. see announcement

Oct 2026: Awarded Mozilla Grant!

Prof. AL Oleson and I were awarded a Mozilla Responsible Computing Challenge Grant to incorporate responsible AI instruction into humanities and social sciences courses. see announcement

Oct 2026: Selected to Denver Data Center Working Group

Recommending policies to govern new data centers with representatives of communities, unions, utilities, industry, NGOs, academia, and health care. see press release

Aug 2026: Policy Memo Published

Developed memo on rebuilding public trust in data center development through monitoring and reporting. see publication

Projects

Addressing Environmental Data Inequities

Partnering with community organizations to build youth capacity to use data for environmental justice

AI and Computing Education

Research on teaching with and about AI

Critical Interpretations of Data

Designing opportunities for people to use data to identify and address structural inequities.

Equitable & Ethical Computing Education

Designing theory, strategies, and tools to make computing education more equitable and ethical.

Recent Papers

How Colorado Can Mandate Data Center Transparency

Policy memo to rebuild public trust in data center development in Colorado through monitoring, transparency, and investigation of environmental impacts

Using Benchmarking Infrastructure to Evaluate LLM Performance on CS Concept Inventories: Challenges, Opportunities, and Critiques

Used automated benchmarking infrastructure and expert review to understand differences in LLM and student performance on CS assessments with validity evidence.

Teaching Ethics in Computing: A Systematic Literature Review of ACM Computer Science Education Publications

Synthesized findings from 40 years of ACM CS Education research on ethics instruction in higher education computing courses.

Recent Posts

Info for Students Interested in Having Me as an Advisor

Info on whether I am accepting new students and how I prefer students contact me.

Job Calls for Research in CS & STEM Edu, HCI

Sharing a spreadsheet of job calls related to computing edu, STEM edu, HCI & edu research

Contact

Please reach out to me by email! If you are a Stanford or University of Denver CS affiliate, please send me a direct message. I’m better at responding on Slack.