ICDM'22 Open Project Forum
Held in conjunction with ICDM'22
Tell Me More!


Open source projects are vital to the research community, since they enable reproducible research, providing confidence in existing published results and empowering further research by the community without the need to “reinvent the wheel”. The data mining community has always been at the forefront of reproducible and open source research, which has enabled the rapid expansion of the field.

This year, ICDM is organizing the first open source project forum. The goal behind the forum is to highlight the importance of open projects and reproducible research, create a forum where researchers can showcase their open projects and discuss challenges, ideas, and future directions, and ultimately celebrate the transformative nature of open source projects in data mining.

The forum invites contributions from the community, as described in the Call for Papers below. In addition to contributed papers, the forum is planning to feature keynote talks by researchers in the community who have successfully created, released, and maintained prominent and high-impact open projects, who will discuss their experience and lessons-learned, followed by a panel discussion (pending speaker availability).

Call for Papers

We invite contributions by the community in the form of paper submissions (long or short - see the instructions below).

The papers can encompass any topic within data mining, from data preparation and cleaning, to core methods, to evaluation and visualization; (see an indicative list in the call for papers for the main conference: https://icdm22.cse.usf.edu/calls/Papers.html) and should focus on the open source aspects of the project (discussing implementation aspects, system functions, challenges, uses-cases etc).

Papers can vary in terms of the scope of what they describe, which can range from a simple API package, a suite of useful algorithms, a comprehensive toolbox, or even a major system.

Important Dates

The deadline has been extended!
  • Submission deadline: September 2, 2022 September 17, 2022
  • Notification of Acceptance: September 23, 2022 October 7, 2022
  • Camera-ready paper due: October 1, 2022 October 17, 2022
  • ICDM 2022 Open Project Forum: November 29 or 30 (TBA), 2022
All dates are 11:59pm Pacific Daylight Time.

Submission Details

We invite short paper (up to 6 pages, including references) and long paper (up to 10 pages, including references) submissions. All submissions must be in PDF following the IEEE 2-column format (https://www.ieee.org/conferences/publishing/templates.html) Submitted papers should include full author information (name, affiliation, contact information). Submitted papers should be in English and will be reviewed by the Program Committee based on technical quality, relevance to scope of the conference, originality, significance, and clarity.

All accepted papers will be published as part of ICDM'22 Workshop proceedings, and are therefore considered archival.

We also invite authors of papers that will appear at ICDM'22 to consider contributing to this forum. In this case, the paper submission should emphasize on new information (e.g., open source aspects of the work) and have at most 30% overlap with the paper that will appear in the main conference proceedings.

Papers must be submitted electronically in the online submission system (https://www.wi-lab.com/cyberchair/2022/icdm22/scripts/submit.php?subarea=DM). We do not accept email submissions.

At least one of the authors of the accepted papers must register for the conference and be present on the day of the forum.

For questions regarding submissions, please contact us at: epapalex -at- cs -dot- ucr - dot - edu

Technical Program

Accepted Papers

  • TBD

Forum Program

  • TBD


ICDM'22 Open Project Forum Chair

Vagelis Papalexakis

Evangelos (Vagelis) Papalexakis

Associate Professor

University of California Riverside

Program Committeee

  • Kostas Pelechrinis, University of Pittsburgh
  • William Shiao, University of California Riverside
  • Kijung Shin, KAIST
  • Li Zhang, George Mason University