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ACM REP 2025 : 3rd ACM Conference on Reproducibility and Replicability (2025)

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Link: https://acm-rep.github.io/2025/
 
When Jul 29, 2025 - Jul 31, 2025
Where Vancouver, BC, Canada
Submission Deadline Mar 31, 2025
Notification Due Jun 23, 2025
Final Version Due Jul 14, 2025
Categories    reproducibility   replicability   repeatability
 

Call For Papers

ACM REP 2025: 3rd ACM Conference on Reproducibility and Replicability (2025)
Vancouver, Canada, July 29-31, 2025

Conference website: https://acm-rep.github.io/2025/
Submission link: https://easychair.org/conferences/?conf=acmrep2025

Submission deadline: March 31, 2025
First response to authors: May 12, 2025
Revise and resubmit: May 26, 2025
Notification of acceptance: June 23, 2025
Camera-ready copy: July 14, 2025

The 3rd ACM Conference on Reproducibility and Replicability (ACM REP '25) aims to bring together experts and practitioners engaged in the advancement and conduct of reproducible science in computing disciplines. The conference will serve as a premier forum for the exchange and presentation of the concepts, tools, techniques, practice and state-of-art in reproducible science. The conference committee invites original research contributions and practical system designs, implementations, and evaluations on several topics relating to reproducibility and replicability. The ACM REP program will consist of peer-reviewed articles, invited talks, panels, posters, and demonstrations.

The ACM REP conference series is associated with the ACM Emerging Interest Group for Reproducibility and Replicability. (See ACM REP’s history.) All accepted papers will be published in the ACM - International Conference Proceedings Series (ICPS) and will be available in the ACM Digital Library.

Topics of Interest

ACM REP '25 welcomes submissions across computing disciplines, spanning both traditional computer science and interdisciplinary scientific computing applications in biology, chemistry, physics, astronomy, genomics, geosciences, etc. The conference particularly values submissions that demonstrate reproducible experimental results. Where full reproduction is not achieved, detailed documentation of the reproducibility experience is equally valuable.

The conference addresses various aspects of reproducibility and replicability, including but not limited to the following topics:

Reproducibility Concepts

Experiment dependency management.
Experiment portability for code, performance, and related metrics.
Software and artifact packaging and container-related reproducibility methods.
Approximate reproducibility.
Record and replay methods.
Data versioning and preservation.
Provenance of data-intensive experiments.
Automated experiment execution and validation.
Reproducibility-aware computational infrastructure.
Experiment discoverability for re-use.
Approaches for advancing reproducibility.

Reproducibility Experiences

Experience of sharing and consuming reproducible artifacts.
Conference-scale artifact evaluation experiences and practices.
Experiences as part of hackathons and summer programs.
Classroom and teaching experiences.
Usability and adaptability of reproducibility frameworks into already-established domain-specific tools.
Frameworks for sociological constructs to incentivize paradigm shifts.
Policies around publication of articles/software.
Experiences within computational science communities.
Collecting datasets from laboratory / real-world settings.

Systems and Security Concerns

Experience comparing published systems in a domain.
Tools to support replicability of system analysis.
Designing machine learning workflows to support reproducibility.
Reproducing real-world security findings.
Privacy concerns arising from reproducibility.
Challenges of reproducing security experiments.
Securing reproducibility infrastructure.

Broader Reproducibility

Cost-benefit analysis frameworks for reproducibility.
Novel methods and techniques that impact reproducibility.
Reusability, repurposability, and replicability methods.
Long-term artifact archiving and verification/testing for future reproducibility.

Submission Guidelines

We solicit papers describing original work relevant to reproducibility and independent verification of scientific results. The submission must not be published or under review elsewhere. ACM REP is a double-blind reviewed conference. ACM REP submissions can be research, survey, vision, or experience papers. Submissions will be evaluated according to their significance, originality, technical content, style, clarity, relevance, and likelihood of generating discussion. Authors should note that changes to the author list after the submission deadline are not allowed without permission from the PC Chairs. At least one author of each accepted paper is required to register for, attend, and present the work at the conference. In-person attendance and presentation is highly encouraged, but remote participation will also be supported.

Research Papers (Long and Short)

We solicit both full length papers (10 pages) and short papers (4 pages). The former tend to be descriptions of complete technical work, while the latter tend to be descriptions of interesting, innovative ideas, which nevertheless require more effort to mature. The program committee may decide to accept some full papers as short papers. Full papers will be given a presentation slot in the conference, while short papers will be presented in the form of posters. All papers, regardless of size, will be given an entry in the conference proceedings. The page limit is without references and/or appendices. Authors may optionally include reproducibility information that allows for automated validation of experimental results. (See the artifact evaluation criteria below.) Accepted submissions that pass automated validation will earn ACM Reproducibility badges in accordance with the artifact review and validation policy.

Artifact Evaluation Criteria

The conference will also be soliciting code/data artifacts. For submitted papers, these artifacts will be optional supplemental material and solicited based on the program committee's criteria. The artifacts will be mandatory for accepted full papers with experimental results. The artifacts will be reviewed by an Artifact Evaluation committee, and those that pass will be awarded Reproducibility Badges per ACM policy.

Formatting

Papers must be submitted in PDF format according to the ACM template published in the ACM guidelines, selecting the generic “sigconf” sample. The PDF files must have all non-standard fonts embedded. Papers must be self-contained and in English. If submitting a short paper, authors must indicate “SHORT:” at the beginning of the title. The review process is double-blind.

Program Chairs

Ashish Gehani (SRI)
Khalid Belhajjame (University Paris - Dauphine)

Program Committee

Sergey Bratus, Dartmouth College
Kevin Butler, University of Florida
Prasad Calyam, University of Missouri
Jean Camp, Indiana University - Bloomington
Bruce Childers, University of Pittsburgh
Ludovic Courtes, INRIA
Jack Davidson, University of Virginia
Lorenzo De Carli, University of Calgary
Ewa Deelman, Information Sciences Institute
David Eyers, University of Otago
Dustin Fraze, Microsoft
Juliana Freire, New York University
Fraida Fund, New York University
Grigori Fursin, CodeReef.ai / cTuning foundation
Simson Garfinkel, BasisTech
Paul Groth, University of Amsterdam
Kevin Hamlen, University of Texas - Dallas
Marc Herbstritt, University of Freiburg
Thomas Hildebrandt, University of Copenhagen
Alefiya Hussain, Information Sciences Institute
Daniel Katz, University of Illinois - Urbana-Champaign
Joshua Kroll, Naval Postgraduate School
Ignacio Laguna, Lawrence Livermore National Laboratory
Stefan Leue, University of Konstanz
Michael Locasto, Narf Industries
Bertram Ludäscher, University of Illinois - Urbana-Champaign
Alyssa Milburn, Intel
Jelena Mirkovic, Information Sciences Institute
Sean Oesch, Oak Ridge National Laboratory
Limor Peer, Yale University
Sean Peisert, Lawrence Berkeley National Laboratory
Solal Pirelli, Sonar
Beth Plale, Indiana University - Bloomington
Lutz Prechelt, Free University of Berlin
Vicky Rampin, New York University
Birali Runesha, University of Chicago
Mahadev Satyanarayanan, Carnegie Mellon University
Stefanie Scherzinger, University of Passau
Sameer Shende, University of Oregon
Salvatore Signorello, University of Lisbon
Douglas Thain, University of Notre Dame
Rafael Tolosana-Calasanz, University of Zaragoza
Petr Tuma, Charles University
Anjo Vahldiek-Oberwagner, Intel Labs
Theo Zimmermann, Telecom Paris

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