SocialScienceDataLab/inferential-network-analysis

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Created over 4 years ago
Updated almost 4 years ago

SocialScienceDataLab/inferential-network-analysis

SocialScienceDataLab

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SocialScienceDataLab

efficient-data-r

Workshop "Efficient Data Management with R", MZES Social Science Data Lab, February 18, 2020

Data_Visualization

Repository for one-day course "Visualization with R", held by Richard Traunmüller

data-journalism

advances-in-r

Intro-to-web-scraping-with-R

models-all-the-way

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

poweranalysis

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

twitter-api-bert-method

Collection, Management, and Analysis of Twitter Data: Using the Twitter API for Academic Research and BERT by Andreas Küpfer

intro-bayesian-statistics

Introduction to Bayesian Statistics

LaTeX-intro

Introduction to LaTeX with Overleaf by Cosima Meyer and Dennis Hammerschmidt

python-for-social-scientists

Getting started with Python: A how-to guide for social scientists by Ruben Bach and Andreas Küpfer

Jupyter Notebook

Twitter

Analyzing Twitter Data Using R. 90min Workshop by Simon Kühne, 2019-03-27

political-data-relations-wikidata

Extracting political data & relations from Wikidata by Theresa Gessler

apis-social-scientists

Application programming interfaces for social scientists: A collaborative review

Open-Science-Primer

An Open Science Primer for Social Scientists

reproducible-documents

Reproducible and Dynamic Documents with RMarkdown. Workshop, Mannheim Centre for European Social Research, March 3, 2021.

Stan_Intro

networks-for-political-conversation

Networks All the Way Down: Assessing Modeling Choices for Political Conversation by Sarah Shugars

potential-outcomes

Introduction to the Potential Outcomes Framework. Workshop, Mannheim Centre for European Social Research, September 10, 2019.

smartphones-data-collection

Using Smartphones for Data Collection by Alexander Wenz

multidimensional-text-scaling

Whose scale is it anyway? by Will Lowe

generative-adversarial-nets

Input talk "Generative Adversarial Nets" by Marcel Neunhoeffer (University of Mannheim)

group-inequalities-decomposition

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

building-infrastructure-for-data-driven-research

Repository for the talk "Building Infrastructure for Data-Driven Research"

survey-data-collection

Survey data collection from start to finish: Designing and executing reproducible research with an online access panel by Johanna Gereke & Joshua Hellyer