computational-reproducibility

An integrated analysis platform for efficiently achieving computational reproducibility

Distributed integrity infrastructure for collusion-resistant independent verification. Blind peer validation of any verifiable claim — scientific, regulatory, or institutional — recorded as tamper-evident Harmony Records. Built in Rust on Holochain.

A structured guide to computational reproducibility reviews

Teaching computational reproducibility for neuroimaging

Eindhoven University of Technology (TU/e) course "Improving Your Statistical Questions" by Daniël Lakens on Coursera (completed Dec 2022).

Dockerfile to build an image for use in the repliCATS pipeline

Agentic LLM research transparency pipeline: Lancet Digital Health Viewpoint with reproducible oncology case study, AI disclosure ledger, reviewer transcripts, and three-layer audit architecture for research integrity.

Evidence-first Codex Skill for research paper reproduction: plan, run, verify, and audit computational claims with traceable evidence bundles.

This repository contains the short talk "Computational Reproducibility & Docker" given by Ross Gayler to the ReproducibiliTea Melbourne group on 2026-03-26. The target paper is “Longitudinal Study of the Software Environments Produced by Dockerfiles from Research Artifacts: Initial Design” (Guilloteau et al., 2025, DOI:10.1145/3736731.3746146)

Gemelo Digital para Simulación Sanitaria: Impacto de la Promoción y Prevención (PyP) en la demanda y costos.

Open, reproducible R, Python, and Stata analyses of own- and cross-price demand for food and social reinforcement in rats (Kirkman et al., 2022).

2019 Computational Reproducibility Workshop Series, led by Nelle Varoquaux

Six-phase harness that verifies a statistical analysis is internally consistent, reproducible, and agrees with an independent R implementation

Scripts and files related to my Master's thesis.

Repository for the "Computational Reproducibility in Machine Learning" workshop, containing a setup guide, slides, and files to support hands-on reproducibility exercises.

SwissRN Workshop on Computational Reproducibility

Reference implementation of MicrobiomeRiskScore (MRS): a treatment-aware Transformer that predicts healthcare-associated infections from longitudinal gut microbiome dynamics. Companion code to Ma et al., npj Digital Medicine.