GESIS Methods Hub

The GESIS Methods Hub by GESIS is an open, community-driven platform offering computational methods, tools, and tutorials for social science research. It covers the full workflow, from data collection to analysis and visualization, providing code, documentation, and interactive resources for learning and reproducibility.

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GESIS Guides

The GESIS Guides by GESIS provide practical, reliable guidance for conducting research with survey and digital behavioral data. Drawing on extensive experience, they offer structured information and hands-on recommendations to support evidence-based insights into socially relevant questions.

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Securing Digital Democracy

This free, self-paced course by the University of Michigan (via Coursera), taught by Prof. J. Alex Halderman, explores the security and future of electronic and Internet voting. Learn about voting machine vulnerabilities, cybersecurity, and policy measures to protect democratic integrity in the digital era.

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