software

A consistent, accessible visual language for statistical analysis in R and Python.

Versioned, machine-checkable scientific theories in R and Python.

Simulation-based design analysis from a portable R and Python specification.

Reproducible, quota-aware Scopus searches in R and Python.

Lexical stimulus matching and experiment generation in R and Python.

A production-ready local transcription workflow leveraging OpenAI's Whisper models that addresses the limitations of cloud-based solutions through complete data sovereignty, unlimited scale, reproducible processing and advanced quality control, while maintaining GDPR compliance.

A secure, local transcription workflow using OpenAI's Whisper, with batch processing on high-performance computing (HPC) clusters and built-in quality control. Designed for academic and enterprise use, it avoids the privacy and reproducibility limitations of cloud-based services.

Software is increasingly becoming recognised as fundamental to research. In a 2014 survey of UK researchers undertaken by the Institute, 7 out of 10 researchers supported the view that it would be impossible to conduct research without software. As software continues to underpin more research activities, we must engage a variety of stakeholders to incentivise the uptake of best practice in software development to ensure the quality of research software keeps pace with the research it supports.