Methods Hub
Exploring computational methods for your social science research?
The Methods Hub is your starting point. As an open community portal, we bring together practical tools, tutorials, and interactive environments that help you explore and apply computational approaches—from data collection and preprocessing to analysis, results visualization and validation—to solve your social science research problems. Whether you're just getting started or looking to expand your toolkit, you'll find resources designed to support your research every step of the way.
The computational methods gathered from our community are presented from a social science perspective, highlighting their relevance and applicability to the field. Each methods' page connects to various additional resources such as the code and documentation for reproducibility, related datasets for replicability, and tutorials for learning more about using the method.
Curious what it looks like?
Check out the most recent contributions:
- Telegram Data Collector
Collect Telegram messages across public channels - The Telegram Toolkit: a Tool to Enrich Telegram Channel Data
Aggregate information on messages and their flow in Telegram from channel data - Text Sentiment Detector
Determine the sentiment of English or German text
- Text Preprocessing Toolkit
Learn the basics of segmenting, tokenizing, cleansing, vectorising and otherwise pre-processing text - NERD Entity Fishing - A Guide to Identifying Entities in Text
Learn the basics of named entity recognition and disambiguation - A Practical Guide to Multilingual Large Language Model (RoBERTa) Classification
Learn how to customize (personalize through fine-tuning) and use a large language model for text classification in a language of interest
Or browse our entire library.
Want to try it yourself?
Many of our methods and tutorials support interactive environments, that allow you to explore and run them directly in your browser--no setup, no hassle. Just click a button to launch and start experimenting with real code, using sample data or your own.
Have a method or tutorial to share?
Wonderful! We welcome community contributions and provide a way to increase the reach and visibility of your work. Don’t let your tools get lost in supplementary materials—publish them on the Methods Hub as a second outlet. We accept a wide range of formats, from full libraries and packages to analysis pipelines or simple code snippets—as long as they’re reusable and well documented. Currently, submission is in closed beta, but we will open our submission system to everyone end of 2025. Stay tuned!