OPEN-SOURCE INTELLIGENCE APPLICATIONS IN REAL-TIME GEOPOLITICAL ANALYSIS: A DATA-DRIVEN APPROACH

TUFIȘ, Andrei-Mihai and LAMBU, Viorel and IOVESCU, Paula and CARAGEA, Alessia (2026) OPEN-SOURCE INTELLIGENCE APPLICATIONS IN REAL-TIME GEOPOLITICAL ANALYSIS: A DATA-DRIVEN APPROACH. 2026 International Congress "From Research to Application", 20 May 2026. pp. 43-60.

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Abstract

The increasing complexity of the global security landscape has generated substantial demand for tools capable of processing and visualizing geopolitical intelligence in real time. Open-Source Intelligence (OSINT), defined as the systematic collection and analysis of publicly available data, has emerged as a foundational methodology in modern geopolitical risk assessment. This paper examined the role of data-driven OSINT applications in supporting situational awareness and geopolitical analysis, with a focus on the Global Threat Map , an open-source intelligence platform developed by Prosper Otemuyiwa and released publicly in January 2026. Through a combination of theoretical framing, architectural analysis, and critical evaluation, this study assessed the platform's capacity to aggregate, classify, and visualize geopolitical events at scale. The application integrates real-time data ingestion via the Valyu AI intelligence API, geospatial rendering through Mapbox GL JS, and AI-assisted synthesis of country-level conflict profiles, enabling analysts to monitor armed conflicts, diplomatic incidents, protests, and military developments on an interactive world map. The findings indicated that data-driven OSINT dashboards represent a significant step toward democratizing geopolitical intelligence, though persistent challenges related to data provenance, AI-generated content reliability, source opacity, and the absence of structured validation frameworks remain critical limitations. The paper concluded by identifying directions for future development, particularly regarding multi-source data triangulation, explainability mechanisms, and integration with verified open datasets such as ACLED and GDELT.

Item Type: Article
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Law, Arts and Social Sciences > School of Humanities
Depositing User: Unnamed user with email zshi@unite.edu.mk
Date Deposited: 01 Jul 2026 09:13
Last Modified: 01 Jul 2026 09:13
URI: http://eprints.unite.edu.mk/id/eprint/2356

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