Analyzing conflicts and political violence around the world is a persistent challenge in the
political science and policy communities due in large part to the vast volumes of specialized …

El ciclo reciente de protestas sociales en Colombia ha puesto en el centro del debate la
necesidad de emprender ajustes institucionales encaminados a brindar mayores garantías …

Heat maps and Early Warning Systems have traditionally contributed to identifying and
managing risks associated with crime trends, health hazards, and natural disasters …

What are the legacies of armed resistance? Why do some communities engage in armed
mobilization in response to violence, disorder, and insecurity, while others under very similar …

Why do drug trafficking organizations (DTOs) sometimes prey on the communities in which
they operate but sometimes provide assistance to these communities? What explains their …

Political and social scientists monitor, analyze and predict political unrest and violence,
preventing (or mitigating) harm, and promoting the management of global conflict. They do …

This paper relies on Machine Learning (ML) and supervised Natural Language Processing
(NLP) to generate a geo-referenced database on the violent presence of Mexican Criminal …

In this paper, we address Subtask 1 of Detection of Aggressive and Violent INCIdents from
Social Media in Spanish (DA-VINCIS). We introduced our method, using text embeddings …

Political scientists and security agencies increasingly rely on computerized event data
generation to track conflict processes and violence around the world. However, most of …

This article introduces ConfliBERT-Spanish, a pre-trained language model specialized in
political conflict and violence for text written in the Spanish language. Our methodology …