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).
The inaugural ACM Conference on Reproducibility and Replicability was held on 27-29 June 2023. The program included three keynotes and several sessions exploring topics in reproducibility and computer science, and a day of hands-on workshops. It was held at a wonderful space, the Cowell Hay Barn on the campus of the University of California, Santa Cruz. Conference proceedings are available from the ACM Digital Library.
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)