Code and data for the Democratic Spaces forecasts and dashboard
-
Updated
Apr 21, 2025 - R
Code and data for the Democratic Spaces forecasts and dashboard
Analysis of the 2019–20 Hong Kong protests through Epistemic Clientelism Theory, showing how scaffold collapse produced epistemic capture and democratic lessons.
This repository contains files related to a longitudinal study of global democratic backsliding conducted by Lia Smith and Kayley Watson. The study utilizes R programming language for data analysis and visualization.
Add a description, image, and links to the democratic-backsliding topic page so that developers can more easily learn about it.
To associate your repository with the democratic-backsliding topic, visit your repo's landing page and select "manage topics."