ACM Conference on
Reproducibility and Replicability

ACM REP 2023 –>


The ACM Conference for Reproducibility and Replicability (ACM REP) brings together a broad and inclusive intellectual community around the issues of reproducibility of computational research, including practical, actionable aspects of reproducibility in broad areas of computational science and data exploration, with special emphasis on issues in which community collaboration can be essential for adopting novel methodologies, techniques and frameworks aimed at addressing some of the challenges we face today. The ACM REP conference series is associated with the ACM Emerging Interest Group for Reproducibility and Replicability (see here for ACM REP’s history).

Steering Committee


Philippe Bonnet (IT University of Copenhagen)


Carlos Maltzahn (UC Santa Cruz)
Tanu Malik (DePaul University)
Jay Lofstead (Sandia National Laboratories)
Alexandru Uta (DFINITY)
Stephanie Lieggi (UC Santa Cruz)
Todd Gamblin (Lawrence Livermore National Laboratory)
Kate Keahey (Argonne National Laboratory and University of Chicago)
Haryadi Gunawi (University of Chicago)
Anjo Vahldiek-Oberwagner (Intel Labs)
Kyle Cranmer (University of Wisconsin, Madison)
Fraida Fund (New York University, Tandon School of Engineering)
Limor Peer (Yale University)