AI and data technologies are reshaping society—from how we work and learn to how we make decisions and understand the world. In this cluster, researchers design tools, systems, and visualizations that help people explore, interpret, and act on data, while also examining the broader social, political, and ethical implications of data-driven systems.
Our work advances methods for data visualization, human-AI interaction, and machine learning—grounded in human-centered design. We also investigate questions of privacy, tracking, algorithmic accountability, and the social consequences of data use.
This research often involves working closely with communities to ensure that data systems are transparent, equitable, and usable, and that people can meaningfully engage with and critique the technologies that shape their lives.
HCDE Researchers
Recent Publications
- Gary Hsieh - Rethinking Teaching Evaluation Reports: Designing AI-transformed Student Feedback for Instructor Engagement in Proceedings of the ACM on Human-Computer Interaction (November 2025)
- Daniela Rosner - Should AI Mimic People? Understanding AI-Supported Writing Technology Among Black Users in Proceedings of the ACM on Human-Computer Interaction (November 2025). Received a DEI Special Recognition at CSCW '25
- Sucheta Ghoshal and Sayamindu Dasgupta - From Data Activism to Activism in a Time of Data-Centrism: Affirming Epistemological Heterogeneity in Social Movements in Proceedings of the ACM on Human-Computer Interaction (May 2025). Received an Honorable Mention Award at CSCW '25
- Sean Munson - Engagements with Generative AI and Personal Health Informatics: Opportunities for Planning, Tracking, Reflecting, and Acting around Personal Health Data in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) (September 2025)
- Julie Kientz and Sayamindu Dasgupta - Reading AI and Reading the World: Using an Interactive AI System to Promote Children's Understanding of AI Bias in ACM Transactions on Computer-Human Interaction (September 2025)
- David Ribes - Sensing the winds: ML as concatenated instrumentation at the 50th Annual Meeting of the Society for Social Studies of Science (4S) (August 2025)
- David Ribes - Security through Openness: Tracing the Development of “Fundamental Research” at the 50th Annual Meeting of the Society for Social Studies of Science (4S) (August 2025)
- Sayamindu Dasgupta - "Even Though I Went Through Everything, I Didn't Feel Like I Learned a Lot": Insights From Experiences of Non-Computer Science Students Learning to Code in Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25) (April 2025)