Mass Mobilization: Predicting State Violence

Since the dawn of democracy, protests have played an essential role in maintaining the power of the people. Research indicates an upwards trend of the rate of protests world wide. The outcome of a protest can vary between extremes of accommodation to violence with casualties. This project aims to create a model that discerns whether a mass mobilization will incur state violence at its inception, to drive protester strategies and inform decisions when dialogue and engagement are no longer an option.

Table of Contents

1. Source Data

• Original Mass Mobilization Protest Data
• Improved Mass Mobilization Protest Data - Data World

2. Documents

• Final Report This report contains a detailed account of the data wrangling, EDA and modeling performed for this project.
• Presentation This presentation summarizes the data wrangling, EDA, modeling and conclusions for this project.

3. Notebooks

• Data Wrangling
• Exploration Data Analysis
• Machine Learning