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Creating Synthetic Data for Replication & Privacy Protection using Generative Adversarial Networks

Video Type: Case Study

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Summary

Christian Arnold, PhD, Lecturer in Politics at Cardiff University, discusses his research using generative adversarial networks (GANs) to create synthetic data for replication and privacy protection, including how GANs work, issues addressed by GANs, recommendations to students interested in research using GANs, and why social scientists should be working with big data and using data science methods.

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