Welcome to the YouTube channel of Methods Bites, the blog of the MZES Social Science Data Lab. This channel features recordings of our input talks, roundtables, and workshops.

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.

Surveying Diversity: Integrating Queer Perspectives in Survey Research
1:27:34
Surveying Diversity: Integrating Queer Perspectives in Survey Research
Computationally Analyzing Politicians' Body Language Using Pose Estimation
1:26:50
Computationally Analyzing Politicians' Body Language Using Pose Estimation
Using Data Donations to Collect Digital Trace Data: Promises and Pitfalls for the Social Sciences
1:03:24
Using Data Donations to Collect Digital Trace Data: Promises and Pitfalls for the Social Sciences
From Evidence Gap Maps to Systematic Reviews and Meta-Analyses: Approaches, Techniques, and Tools
1:24:27
From Evidence Gap Maps to Systematic Reviews and Meta-Analyses: Approaches, Techniques, and Tools
Robust Causal Inference using Double/Debiased Machine Learning: A Guide for Empirical Research
1:22:29
Robust Causal Inference using Double/Debiased Machine Learning: A Guide for Empirical Research
Using AI tools for research
1:29:53
Using AI tools for research
Towards more life-course-sensitive decompositions of group-inequalities
1:23:52
Towards more life-course-sensitive decompositions of group-inequalities
Survey mastery: a deep dive into SQP 3.0 to enhance questionnaire development
1:28:03
Survey mastery: a deep dive into SQP 3.0 to enhance questionnaire development
Models all the way down
1:15:07
Models all the way down
Power analysis for social science research
1:31:43
Power analysis for social science research
Finding, accessing, and re-using research data: The Uni Mannheim Research Data Center and BERD@NFDI
1:17:06
Finding, accessing, and re-using research data: The Uni Mannheim Research Data Center and BERD@NFDI
A beginner's guide to neural networks for social scientists
1:18:45
A beginner's guide to neural networks for social scientists
Estimating and correcting for measurement error using hidden Markov models
1:25:19
Estimating and correcting for measurement error using hidden Markov models
A new framework for studying dynamic multi-party competition
1:05:55
A new framework for studying dynamic multi-party competition
Multiverse analysis
1:22:45
Multiverse analysis
The GLES Open Science Challenge 2021
1:15:45
The GLES Open Science Challenge 2021
Transformer-based language models
1:30:07
Transformer-based language models
Social media ads for web survey participant recruitment
1:28:38
Social media ads for web survey participant recruitment
Getting started with Python: A how-to guide for social scientists (Part II)
1:11:16
Getting started with Python: A how-to guide for social scientists (Part II)
Extracting political data & relations from Wikidata
1:21:38
Extracting political data & relations from Wikidata
Getting started with Python: A how-to guide for social scientists (Part I)
1:14:10
Getting started with Python: A how-to guide for social scientists (Part I)
Agent-based modeling for social scientists
1:32:16
Agent-based modeling for social scientists
Matching methods for causal inference with time-series cross-sectional data
1:24:19
Matching methods for causal inference with time-series cross-sectional data
Investigating fairness in data-driven allocation of public resources
1:20:46
Investigating fairness in data-driven allocation of public resources
Application programming interfaces for social scientists
1:27:59
Application programming interfaces for social scientists
Detecting implicit biases in large language corpora
1:00:04
Detecting implicit biases in large language corpora
Collection, Management, and Analysis of Twitter Data
1:20:23
Collection, Management, and Analysis of Twitter Data
Using Smartphones for Data Collection
1:18:48
Using Smartphones for Data Collection
Designing and executing reproducible research with an online access panel
1:09:49
Designing and executing reproducible research with an online access panel
Whose scale is it anyway?
1:19:25
Whose scale is it anyway?