Análisis Computacional de Eventos de Protesta (ACEP). Computer-Aided Protest Event Analysis (CAPEA)
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Updated
May 13, 2026 - R
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.
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.
Code repository for the EACL 2023 long paper Extracting Victim Counts from Text
Predicting continuous conflict intensity from visual video data.
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.
Analysis of conflict deaths vs humanitarian aid (prominent vs underrated conflicts) using UCDP, OCHA, and World Bank data.
A Quick Conflict Driven SAT Solver
Pipeline for processing unstructured Reddit text, including data cleaning, NLP preprocessing, and fine‑tuned BERT sentiment analysis for conflict and boycott prediction research.
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.
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.
TCGC — open benchmark for structural conflict reasoning. Score the typed subgraph an AI produces, not paraphrase. Grounded in the Agentic Conflict Ontology (ACO): 14 task types, 7 domains, 5 metrics, public-domain corpora (Thucydides, Federalist, Machiavelli, Caesar, Hobbes, Sun Tzu).
This project uses alternative data to support economic analysis of Lebanon. It analyzes nighttime lights, mobility patterns, displacement trends, air pollution, maritime trade, aviation activity, crop conditions, and conflict events to monitor economic activity, population movements, and the impacts of conflict.
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