Conference proceedings
Proceedings of the International Conference on Open and Reproducible AI Research
OPENAIR 2026
- 19 October 2026 – 22 October 2026
- Nairobi, Kenya
- Lakeshore Centre for Machine Learning
Sample volume. The event, organisers and papers are fictional demonstration content.
About this volume
OPENAIR examines the practices that make AI research open, checkable and reusable: reproducibility reporting, documentation, persistent identifiers, software preservation, and new models of peer review.
OPENAIR-2026-proceedings.pdf
Papers (6)
Reproducibility
- pp. 1–12230
Full paperBest paper
Reproducibility Checklists in Practice: A Three-Year AuditIngrid Novak, Carlos Medina
10.xxxx/ctm.pr.2026.0011
downloads
Data and infrastructure
- pp. 13–22205
Full paper
Persistent Identifiers for Model CheckpointsFatima Zahra El Idrissi, Ravi Menon
10.xxxx/ctm.pr.2026.0012
downloads - pp. 23–28150
Short paper
Datasheets at Scale: Automating Documentation for Machine-Learning DatasetsFatima Zahra El Idrissi, Tomás Ibarra
10.xxxx/ctm.pr.2026.0013
downloads - pp. 41–46260
Short paper
Archiving Research Software: What Survives Five Years?Ravi Menon, Ingrid Novak
10.xxxx/ctm.pr.2026.0015
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Peer review and policy
- pp. 29–40290
Full paper
Open Peer Review of Machine-Learning Papers: Early EvidenceKofi Mensah, Julia Fernandes
10.xxxx/ctm.pr.2026.0014
downloads - pp. 47–4988
Extended abstract
A Case for Negative-Result TracksAmélie Roussel, Hana Kovács
10.xxxx/ctm.pr.2026.0016
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