Análisis Computacional de Eventos de Protesta (ACEP). Computer-Aided Protest Event Analysis (CAPEA)

A hybrid system dynamics-time series method for conflict analysis using GDELT

Curated reading list for intelligence professionals, covering geopolitics, maritime security, and strategic analysis

OSS-LCAF: Open Source Software License Conflict Analysis Framework — This repository contains the code, dataset, and fine-tuned model adapters from our paper published in the Companion Proceedings of the 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE 2025).

Wikipedia page conflict analyzer project developed for Negapedia

A computational framework for simulating societal impacts of conflict through finite element analysis (FEA), treating communities as deformable plates with properties like resilience and vulnerability.

Code repository for the EACL 2023 long paper Extracting Victim Counts from Text

Predicting continuous conflict intensity from visual video data.

This project monitors the impacts of the Red Sea shipping crisis on maritime traffic and regional economies by analysing vessel movements, port activity, and conflict dynamics. Using AIS maritime data, conflict event data, and mobility indicators, it tracks disruptions to key shipping routes and assesses economic impacts across affected sectors.

This project uses alternative data to monitor economic trends in Niger following the 2023 coup and civil unrest. It analyzes indicators such as conflict events, nighttime lights, crop conditions, and population movement patterns using geospatial, mobility, and remote sensing data to assess the impacts of conflict and instability.

This package provides tools for extracting, processing, analyzing, and visualizing conflict event data from the Armed Conflict Location & Event Data Project, a global dataset on political violence and protest events. It supports data retrieval, geospatial and temporal aggregation, and the creation of publication-quality maps and charts.

This project supports economic monitoring in Morocco using alternative data. It currently includes drought monitoring and conflict event analysis using satellite and geospatial data.

Open benchmark for structural conflict reasoning, scored on typed graph output instead of prose summaries.

Analysis of conflict deaths vs humanitarian aid (prominent vs underrated conflicts) using UCDP, OCHA, and World Bank data.

This project uses alternative data to monitor economic and poverty trends in Ethiopia. It analyzes nighttime lights, air pollution, crop productivity, conflict events, Google search trends, and crowd-sourced survey data to track economic activity, agricultural conditions, and societal responses to conflict and crisis.

Sync Claude Chat, Cowork, and Code with an MCP server that shares tasks, context, and project state across all three.

Humanitarian data science analysis of aid allocation and operational patterns in Palestine using IATI data. The project explores temporal trends, regional distribution, donor concentration, and crisis-driven fluctuations in humanitarian activity using exploratory data analysis and feature engineering.

Pipeline for processing unstructured Reddit text, including data cleaning, NLP preprocessing, and fine‑tuned BERT sentiment analysis for conflict and boycott prediction research.

This project analyzes Gen Z protest participation using conflict event data, demographic analysis, and social contract indicators. It combines protest data from the Armed Conflict Location & Event Data Project (ACLED), UN population estimates, and Gallup World Poll data to examine youth-led mobilization patterns and protest dynamics.

india_conflict_analysis