International Journal of Data Science and Big Data Analytics
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| Volume 6, Issue 1, May 2026 | |
| Research PaperOpenAccess | |
GDELT Successor Project: “K-N-GDELT” and Modelling Geopolitical Risk with the Geopolitical Risk Index |
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1Principal Data Scientist, Fulcrumbright, Oxford University, Wellington Square, United Kingdom. E-mail: chris.kohlhepp@mailbox.org
*Corresponding Author | |
| Int.J.Data.Sci. & Big Data Anal. 6(1) (2026) 68-74, DOI: https://doi.org/10.67191/IJDSBDA.6.1.2026.68-74 | |
| Received: 11/12/2025|Accepted: 13/04/2026|Published: 25/05/2026 |
In June 2025, GDELT (www.gdeltproject.org) went silent without notice or explanation. Until that time, GDELT had been a pillar of the OSINT (Open Source Intelligence) community. Rooted in DARPA research, and leaning on work by Philip Schrodt and Andy Halterman and the legendary TABARI & PETRARCH event coding ecosystem, GDELT took on the challenge to model the globe—the kind of which was previously reserved for state actors and intelligence agencies. The GDELT dataset had proven immensely useful. As we enter a geopolitically more turbulent era, we can no longer take GDELT for granted. At Karmaflows, this inspired us to re-write GDELT from scratch, an odyssey that we vastly under-appreciated at its onset. We named the project K-N-GDELT which stands for “Karmaflows is Not GDELT.” We are happy to announce that 4 months later, we have substantially completed KN-GDELT.
Keywords: Geopolitics, Artificial intelligence, Machine learning, Open source intelligence, OSINT, GDELT, DARPA, CAMEO
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