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:
- grafzahl
duct tape the quanteda ecosystem to modern Transformer-based text classification models - rang
Resolve the dependency graph of R packages at a specific time point for reconstruct the R computational environment - Scientific Claim Source Retrieval
Retrieve scholarly sources for scientific claims
- Linking Entities to Wikidata Database
The tutorial provides a pipeline to extract and link entities from any source of text - Network Visualizations in R
Learn how to visualize networks in R with no prior knowledge in network analysis - Basic Network Analysis in R
Learn basic network analysis in R with no prior knowledge in network analysis
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!