SLIC - Salient Language In Context

A Django web application for running audio perception experiments. Researchers build experiments from audio samples, click tasks, and question pages. Participants complete them via a public URL with no account required. Results export as XLSX.

Live site: https://slic.shef.ac.uk

Stack

• Python 3.12, Django 4.2, PostgreSQL 14+
• Gunicorn + Nginx (production)
• PII encrypted at rest (Fernet), HMAC blind index for email lookups

Quick start

uv sync --extra dev    # installs deps and creates .venv
cp .env.example .env   # fill in values
make migrate
make runserver

App runs at http://localhost:8000. Researcher accounts require an invitation code - generate one via the admin panel.

Docs

• Setup
• Architecture
• Testing
• Deployment
• Releasing
• User guide

Contributing

See CONTRIBUTING.md. Please read the Code of Conduct before participating.

License

SLIC is free to use for non-commercial research purposes. See LICENSE for full terms.

Contact

Dr Chris Montgomery - c.montgomery@sheffield.ac.uk, The University of Sheffield.