The Social Science Data Lab is an event series at the Mannheim Centre for European Social Research (MZES). It offers a platform for young scholars to present and discuss cutting-edge methods for the collection, management, analysis, and visualization of data in the social sciences.
Organized by our team of members of the MZES Data and Methods Unit, the Social Science Data Lab hosts regular events of various formats, including input talks, roundtables, and workshops.
To create a systematic and lasting infrastructure that provides accessible and applied illustrations of the materials covered at our events, we have also founded a blog: Methods Bites. Our expanding collection of blog posts makes these materials available to a broader audience and provides a forum for peer discussions and mutual learning.
You can find the material for our events here:
Topic | Speaker | Repository | Blog post | Recording | |
---|---|---|---|---|---|
General | Building an infrastructure for data driven research | Philipp Zumstein | GitHub | ||
Crowdsource | Chung-hong Chan | GitHub | |||
Introduction to Unipark | Florian Keusch | GitHub | |||
Open Science Primer | Eike M. Rinke | GitHub | |||
Remote computing services: bwCloud, bwHPC, and beyond | Hendrik Winkhardt | GitHub | YouTube | ||
Git essentials | Frie Preu | GitHub | YouTube | ||
Text (and code) processing | knitr |
Sebastian Pink | GitHub | ||
LaTeX and Overleaf | Dennis Hammerschmidt and Cosima Meyer | GitHub | Methods Bites | ||
Reproducible and Dynamic Documents with RMarkdown with reproducr |
Julia Schulte-Cloos | GitHub | |||
Statistical software | Advances in R | Simon Munzert | GitHub | ||
Renku | Christine Choirat and Emma Jablonski | GitHub | YouTube | ||
R intro | Denis Cohen and Julian Bernauer | GitHub | |||
Write your own R package | Cosima Meyer and Dennis Hammerschmidt | Methods Bites | |||
Data collection | Application programming interfaces for social scientists: A collaborative review | Camille Landesvatter, Paul C. Bauer, Lion Behrens, Chung-hong Chan, Marie-Lou Sohnius, Domantas Undzėnas and Lukas Isermann | GitHub | YouTube | |
Intro to web scraping with R | Simon Munzert | GitHub | |||
Computer vision with Face++ and Azure | Theresa Küntzler | GitHub | YouTube | ||
Using web logs and smartphone records for social research | Ruben Bach | Methods Bites | |||
Collecting and analyzing Twitter Data Using R | Simon Kühne | GitHub | Methods Bites | ||
Survey | Factorial survey design | Carsten Sauer | GitHub | YouTube | |
Data management | Efficient data management with R | Denis Cohen, Cosima Meyer, Marcel Neunhoeffer and Oliver Rittmann | GitHub | Methods Bites | |
Data analysis | Topic-based and cross-lingual scaling of political text | Federico Nanni | GitHub | ||
Collecting and analyzing Twitter Data Using R | Simon Kühne | GitHub | Methods Bites | ||
FDA (Functional data analysis) | Sarah Brockhaus | GitHub | |||
Generative Adversarial Nets | Marcel Neunhoeffer | GitHub | YouTube | ||
Network analysis using igraph |
Chung-hong Chan | GitHub | |||
Inferential network analysis | Lisa Lechner | GitHub | YouTube | ||
Introduction to Bayesian statistics | Malte Schierholz | GitHub | |||
Stan Intro | Denis Cohen | GitHub | Methods Bites | ||
Statistical boosting with mboost |
Sarah Brockhaus | GitHub | |||
Structural equation models | Nate Breznau and Christiane Grill | GitHub | |||
Studying politics on and with Wikipedia | Simon Munzert | GitHub | Methods Bites | ||
Topic-centric sentiment analysis | Gavin Abercrombie | GitHub | |||
Advancing text mining with quanteda |
Cornelius Puschmann | Methods Bites | |||
Quantitative analysis of political text | Denise Traber | Methods Bites | |||
Generalized Additive Models (GAMs) | Sara Stoudt | GitHub | Methods Bites | YouTube | |
A hands-on Guide for Semantic Validation of Text Models using oolong |
Marius Sältzer and Chung-hong Chan | GitHub | YouTube | ||
Using Geospatial Data in R | Stefan Jünger | GitHub | Methods Bites | YouTube | |
Networks All the Way Down: Assessing Modeling Choices for Political Conversation | Sarah Shugars | GitHub | |||
Whose scale is it anyway? (Multidimensional text scaling) | Will Lowe | GitHub | |||
Multilingual Automated Text Analysis for Comparative Social Science Research | Fabienne Lind | GitHub | |||
Data visualization | Data visualization | Richard Traunmüller | GitHub | Methods Bites | |
Shiny App development and deployment | Konstantin Gavras | GitHub | Methods Bites | YouTube | |
Telling Stories with Data: Insights into Data Journalism | Yannik Buhl | GitHub | Methods Bites | YouTube | |
Causal inference | Visual Inference | Richard Traunmüller | GitHub | Methods Bites | |
Causal graphs | Julian Schuessler | GitHub | YouTube | ||
Experiments | Randomized experiments and randomization inference | Florian Foos | GitHub | ||
Potential outcomes | Denis Cohen | GitHub | |||
Teaching | Generate and distribute individualized exams with R/Rmarkdown | Denis Cohen, Marcel Neunhoeffer and Oliver Rittmann | GitHub | Methods Bites |
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