Skip to content
@SocialScienceDataLab

Social Science Data Lab

Repository for Social Science Data Lab @mannheim Centre for European Social Research
README.md

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

Do you want to stay in touch? It couldn't be easier!

Pinned Loading

  1. SocialScienceDataLab SocialScienceDataLab Public

    28 2

Repositories

Showing 10 of 74 repositories
  • data-donations-promises-pitfalls Public

    Using Data Donations to Collect Digital Trace Data: Promises and Pitfalls for the Social Sciences by Valerie Hase (LMU Munich)

    SocialScienceDataLab/data-donations-promises-pitfalls’s past year of commit activity
    0 0 0 0 Updated Nov 25, 2024
  • evidence-gaps-meta-analysis Public

    From Evidence Gap Maps to Systematic Reviews and Meta-Analyses: Approaches, Techniques, and Tools by Jessica Daikeler (GESIS)

    SocialScienceDataLab/evidence-gaps-meta-analysis’s past year of commit activity
    0 0 0 0 Updated Nov 8, 2024
  • robust-causal-inference-ml Public

    Robust Causal Inference using Double/Debiased Machine Learning: A Guide for Empirical Research by Achim Ahrens (ETH Zurich)

    SocialScienceDataLab/robust-causal-inference-ml’s past year of commit activity
    2 0 0 0 Updated Oct 9, 2024
  • group-inequalities-decomposition Public

    Towards more life-course-sensitive decompositions of group-inequalities: Two approaches applied to the Gender Pension Gap by Carla Rowold (Oxford & MPIDR)

    SocialScienceDataLab/group-inequalities-decomposition’s past year of commit activity
    1 0 0 0 Updated Apr 30, 2024
  • ai-for-research Public

    'Using AI tools for research' by Olga Kononykhina (LMU Munich & Munich Center for Machine Learning)

    SocialScienceDataLab/ai-for-research’s past year of commit activity
    0 0 0 0 Updated Apr 18, 2024
  • survey-sqp-questionaire Public

    'Survey mastery: a deep dive into SQP 3.0 to enhance questionnaire development' by Lydia Repke (GESIS)

    SocialScienceDataLab/survey-sqp-questionaire’s past year of commit activity
    0 0 0 0 Updated Mar 20, 2024
  • models-all-the-way Public

    'Models all the way down' by Asya Magazinnik (Hertie School)

    SocialScienceDataLab/models-all-the-way’s past year of commit activity
    3 0 0 0 Updated Feb 23, 2024
  • research-data-nfdi Public

    'Finding, accessing, and re-using research data: The University of Mannheim Research Data Center and BERD@NFDI' by Irene Schumm and Ulrich Krieger

    SocialScienceDataLab/research-data-nfdi’s past year of commit activity
    0 0 0 0 Updated Dec 21, 2023
  • poweranalysis Public

    'Power analysis for social science research' by Denis Cohen and Alexander Wenz

    SocialScienceDataLab/poweranalysis’s past year of commit activity
    HTML 2 0 0 0 Updated Dec 8, 2023
  • beginner-neural-networks Public

    A beginner's guide to neural networks for social scientists by John 'Jack' Collins

    SocialScienceDataLab/beginner-neural-networks’s past year of commit activity
    0 1 0 0 Updated Oct 20, 2023
View all repositories

People

This organization has no public members. You must be a member to see who’s a part of this organization.

Top languages

Loading…

Most used topics

Loading…