Detailed Program – Co-Data @ CHI 2026

Time	Activity
14:00–14:15	Opening & Framing Welcome, goals, and a primer on Interdependence Theory for human–LLM interaction.
14:15–15:30	Authors Panel: Lightning Talks from Accepted Submissions Short talks from contributors showing how human–LLM collaboration appears in their domains, organised into three thematic groups. Group A — Foundational Frameworks and Theories of Human-AI Interdependence Papers proposing or applying formal theories (Interdependence Theory, Coordination Theory) or foundational frameworks to model Human-AI collaboration. Untangling Coordination in Conversational Form Filling: A Position on Interdependence and Mediation Timothy Veigel Towards A New Taxonomy to Design and Validate Human-AI Collaborative (HAIC) Workflows for Open Text Analysis Madison Elliott Meaning-Making at Scale: Structuring Productive Human-AI Interdependence in Qualitative Inquiry Jacqueline Meijer-Irons Redistributing Interdependence in Organizational Knowledge Work: Lessons from Deploying an LLM Mediator in Research Labs Sangwook Lee From Queries to Conversations: Pragmatic and Interdependent Human–LLM Collaboration in Data Work Vidya Setlur Designing Human–LLM Collaboration by Preserving a Human Locus of Agency in Qualitative Analysis Crystal Silver Emergent Role Differentiation in AI-Assisted Requirements Elicitation: A Wizard-of-Oz Pilot Study Jiwoo Bae Group B — LLMs for Specialized Data Analysis & Knowledge Retrieval Papers on leveraging LLMs to query, synthesize, or analyze specific, complex, or high-stakes data and knowledge systems. BeingDB: Git-Versioned Facts Queried by Language Models John Moore Empowering Users in Graph Rule Mining via Large Language Model Francesco Cambria Swimming in Logs: Streamlining Triage with LLM-Supported Log Analysis Jude Yew Beyond One User and One Model: Rethinking LLMs as Mediators in Collaborative Sensemaking and Ideation Emily Kuang & Pengqi Wang What should LLMs do here? Toward transitional collaboration in a data design practice Arganka Yahya Understanding LLM Usage Behavior of Online Survey Participants Ruijie Sophia Huang Group C — LLMs in High-Quality Data Curation and Annotation Papers on using LLMs to manage the process of creating, labeling, or curating high-quality data, often involving complex inputs or transparency/auditability. LLMs and Agentic AI as Value-Adding Collaborators in Multi-Stakeholder, Heterogeneous Data Workflows: Practical Insights from the FinTech Industry Wojtek Buczynski Curation Cards: Making Data Curation Decisions Visible Shreya Chappidi An LLM-Assisted Toolkit for Inspectable Multimodal Emotion Data Annotation Zheyuan Kuang When Vibes Are Not Enough To Work With Data: Literacy and Skill Gaps In Vibe Coding Besjon Cifliku AstraClean-RAG: Supporting Human–LLM Collaboration in Tabular Data Cleaning through Dual-Source Retrieval Bingxiang Chen
15:30–16:00	Posters & Coffee Break & Informal Networking
16:00–17:10	Group Activity: Mapping the Space of Human–LLM Collaboration Interactive breakout sessions to identify key dimensions, patterns, and challenges in human–LLM collaboration for data work.
17:10–17:30	Wrap-up & Next Steps Collective summary, plans for shared resources, and future collaborations.