Data Challenge Program @ IEEE ICHI 2026 - AgentDS Healthcare
Human-AI collaboration in healthcare data science.
Overview
The Data Challenge Program at IEEE ICHI 2026 focuses on advancing human-AI collaboration in healthcare data science. This program showcases results from the AgentDS Healthcare benchmark, where participants developed reproducible solutions for realistic healthcare prediction tasks using collaborative human-AI workflows.
The session brings together researchers and practitioners to:
- Present accepted papers from the Data Challenge track
- Share insights into human-AI collaboration in real-world healthcare settings
- Discuss design principles for reliable, reproducible, and high-impact healthcare data science systems
Theme
Human-AI Collaboration in Healthcare Data Science
The program highlights:
- Realistic healthcare prediction tasks using AgentDS datasets
- Reproducible pipelines and transparent evaluation
- Practical insights into human-AI collaboration workflows
- Lessons for designing next-generation AI-assisted data science systems
Program
2:00 PM - 3:30 PM, June 3, 2026
IEEE ICHI 2026, Minneapolis, MN
Paper Presentations (Oral): Accepted Data Challenge papers (TBD)
Final schedule will be updated closer to the conference date.
About AgentDS Healthcare
The program is based on the AgentDS Healthcare benchmark, which provides:
- Realistic, domain-specific healthcare datasets
- Multimodal and structured prediction tasks
- Standardized evaluation protocols
Submission Categories
We invite three types of submissions:
- Long Papers: 8-10 pages (including references)
- Short Papers: 4-6 pages (including references)
- Poster Abstracts: 1 page (including references)
Important Dates (AOE - Anywhere on Earth)
- Abstract / Paper Submission Deadline: March 2, 2026
- Notification of Acceptance: March 23, 2026
- Camera-ready Deadline: April 7, 2026
- Program (Tentative): June 4, 2026
Submission Instructions
- All submissions must follow the IEEE Proceedings Format: IEEE templates
- Submission system: EasyChair
- Track to select: Data Challenge Track
- At least one author of each accepted paper must register and present the paper in person at the conference.
Review Process
Single-blind review with 3 reviewers.
Conference Information
For full conference details:
Program Chairs
- Jie Ding, PhD, University of Minnesota, USA, dingj@umn.edu
- An Luo, University of Minnesota, USA, luo00318@umn.edu
- Yu Huang, PhD, Indiana University, USA, yh60@iu.edu
Program Committee
- Yunling Ge, University of Minnesota, USA, ge006256@umn.edu
- Zhenghan Li, University of Minnesota, USA, li004431@umn.edu