Machine-learning Protest Event Data System

Network analysis of protest co-participation in Ukraine, 2011-2013

Taller: Desarrollo de técnicas en el campo de análisis de texto asistido por computadora aplicado a la conflictividad social

This is a quickly hacked together web application for filtering and graphing racial injustice protests in the united states, based on the Crowd Counting Consortium data.

This project tackles the challenge of protest detection from images, identifying whether an image represents a protest or not. Inspired by the paper ["Protest activity detection and perceived violence estimation from social media images"], I've extended it using: EfficientNet architecture, Data Augmentation and Comparative Model Analysis.

This repository is meant to be a research project on protests (analyzes the Women's March and the Indian farmers' protests) and their reception by the public.

Collect and safeguard information about protests, including participant details, to ensure safety and accountability.