Welcome to the Social Science Data Lab!

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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