20th INFORMS Workshop on Data Mining and Decision Analytics (DMDA)
๐
October 25, 2025 | ๐ Atlanta, GA
Organized by the INFORMS Data Mining Society (DMS)
The INFORMS Data Mining Society warmly invites you to participate in the 20th INFORMS Workshop on Data Mining and Decision Analytics (DMDA), to be held on Saturday, October 25, 2025, the day before the INFORMS Annual Meeting in Atlanta.
This milestone workshop brings together researchers, practitioners, and students from academia, industry, and government who are working on cutting-edge problems in data mining, decision analytics, and artificial intelligence.
Why Attend?
- Hear presentations from leading scholars and practitioners.
- Explore the latest research in data analytics, optimization, AI/ML, and decision support.
- Network with colleagues and expand professional connections in a collaborative environment.
- Participate in discussions on emerging challenges and future directions in data-driven decision-making.
Topics of Interest
The program will cover a wide range of topics, including (but not limited to):
- Applied Data Analytics
- Machine/Deep/Reinforcement Learning
- Optimization & Decision Analytics
- Simulation and Bayesian Analysis
- Ethics, Privacy, Security, and Fairness
- Network, Graph, and Web Analysis
- Time Series & Spatiotemporal Data Analysis
- Natural Language Processing & Computer Vision
- Generative AI & Large Language Models
Registration
- Registration Deadline: October 18, 2025
- Open to all INFORMS Annual Meeting attendees (DMS membership encouraged).
- Registration details available through the INFORMS Annual Meeting portal.
๐ More information and updates: DMDA Workshop Website
Join us in Atlanta for this special 20th anniversary edition of the DMDA Workshop to connect, share ideas, and celebrate two decades of innovation in data mining and decision analytics.
For more information, please contact the workshop co-chairs:
------------------------------
Hadis Anahideh
Assistant Professor
University of Illinois Chicago
Chicago IL
------------------------------