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INFORMS 17th Workshop on Data Mining & Decision Analytics

October 15, 2022, Indianapolis, IN

Organized by

INFORMS Data Mining Society logo

Submit an Abstract

The Data Mining Society of INFORMS is organizing the 17th INFORMS Workshop on Data Mining and Decision Analytics in conjunction with 2022 INFORMS Annual Meeting. You are cordially invited to join us and share your recent research work with peers from data mining, decision analytics, and artificial intelligence.

To participate, a full paper must be submitted before the deadline for consideration. The workshop committee also announces the best paper competition in both theoretical and applied research tracks. All accepted papers are automatically considered for the best paper competition in the chosen track.

For additional workshop details, go to:

Topics of Interest

Include, but are not limited to:

  • Analytics in Social Media & Finance
  • Anomaly Detection
  • Bayesian Data Analytics
  • Causal Mining (Inference)
  • Data Science and Artificial Intelligence
  • Deep Learning
  • Emerging Data Analytics in Industrial Applications
  • Ethics and Security in Data Mining
  • Fairness in Machine Learning
  • Healthcare Analytics
  • Interpretable Data Mining
  • Large-scale Data Analytics and Big Data
  • Longitudinal Data Analysis
  • Network Analysis and Graph Mining
  • Privacy & Fairness in Data Science
  • Reinforcement Learning
  • Reliability & Maintenance
  • Simulation/Optimization in Data Analytics
  • Text Mining & Natural Language Processing
  • Visual Analytics
  • Web Analytics/Web Mining


May 16: Paper submission begins
August 8: Paper submission closes
September 1: Final review decision
September 14: Workshop on Data Mining and Decision Analytics registration deadline

DM Workshop Co-chairs

Nathan Gaw, Air Force Institute of Technology 
Eyyub Kibis, Montclair State University
Feng Liu, Stevens Institute of Technology

DM Workshop
Management Committee

Paul Brooks, Virginia Commonwealth University
Matthew Lanham, Purdue University
Ramin Moghaddass, University of Miami
Asil Oztekin, University of Massachusetts Lowell
Cynthia Rudin, Duke University
George Runger, Arizona State University
Onur Seref, Virginia Tech
Durai Sundaramoorthi, Washington University

Papers submission guideline

  • Maximum of 10 pages (including abstract, tables, figures, and references)
  • Single-spacing and 11-point font with one-inch margins on four sides
  • Papers must be submitted via the provided submission link (TBD). Late submission will not be considered for further review.
  • Copyright: The DM workshop will not retain the copyrights on the papers. Authors are free to submit their papers to other outlets.

Academic Keynote

Cynthia Rudin, Ph.D., Professor of Computer Science, Duke University

Cynthia Rudin is a professor of computer science and engineering at Duke University. She directs the Interpretable Machine Learning Lab, and her goal is to design predictive models that people can understand. Her lab applies machine learning in many areas, such as healthcare, criminal justice, and energy reliability. She holds degrees from the University at Buffalo and Princeton. She is the recipient of the 2022 Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence (the “Nobel Prize of AI”). She received a 2022 Guggenheim fellowship, and is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the Association for the Advancement of Artificial Intelligence. Her work has been featured in many news outlets including the NY Times, Washington Post, Wall Street Journal, and Boston Globe.

Poster Competition

Information to come.


Students and retirees: $75
Professionals: $150

Click here to register for this event.