Reproducibility and computational research

NeurIPS 2026 has made the Machine Learning Reproducibility Challenge an official track, with TMLR-accepted papers presented in Sydney this December.

NIH has folded replication and reproducibility into its 2026 Gold Standard Science agenda: a new agency-wide Highlighted Topic, continued Common Fund replication funding, and an RFI on rewarding rigor in review. Here’s what’s actually new versus the existing 2016 rigor policy, and what it means for grants and data management offices supporting NIH-funded investigators.

UKRN’s STAR Study (Working Paper 12, July 2026) finds UK universities have built open-data policy and repository infrastructure since 2016, but adoption remains compliance-driven and has stalled — here’s what it found and recommends.

Reproducibility checklists at submission have proliferated. A walkthrough of the major ones, what they catch, and what authors should do to satisfy them efficiently.

A practitioner’s tour of EQUATOR’s reporting guidelines, when each applies, FAIR4RS for software, and the registered-report turn in 2026.

PRISMA’s 2026 revision adds AI-assisted screening, living review checklists, and machine-readable flow diagrams. What systematic reviewers need to update.