Skip to main Communities My dashboard Log in Sign up Pan-African Research Journal Africa Published April 22, 2026 | Version v1 Journal article Open Artificial Intelligence-Powered Conflict Early Warning Systems: Potential and Limitations: Post-CPA and Beyond Authors/Creators Nyuon, Abraham Kuol 1 Show affiliations 1.
Associate Professor of Politics, Peace, and Security Description This article examines Artificial Intelligence-Powered Conflict Early Warning Systems: Potential and Limitations: Post-CPA and Beyond with a focused emphasis on Mauritius within the field of African Studies. It is structured as a theoretical framework article that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument. Files zenodo.19519727.pdf Files (351.7 kB) Name Size Download all zenodo.19519727.pdf md5:73faf2e33b99b9f419572186ec959f34 351.7 kB Preview Download Additional details References Baduge, S.K., Thilakarathna, S., Perera, J.S., Arashpour, M., Sharafi, P., Teodosio, B., Shringi, A., & Mendis, P. (2022). Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications. Automation in Construction. https://doi.org/10.1016/j.autcon.2022.104440 Geisemann, P., Seidemann, I., Olawuyi, D.A., & Geiger, D. (2025). Early Warnings, No Actions: A Practice Perspective on Barriers to Anticipatory Action Approaches. Journal of Contingencies and Crisis Management. https://doi.org/10.1111/1468-5973.70083 Kinchin, N. (2021). Technology, Displaced? The Risks and Potential of Artificial Intelligence for Fair, Effective, and Efficient Refugee Status Determination. Law in context. https://doi.org/10.26826/law-in-context.v37i3.157 Paolucci, L. (2021). Estimating the Replication Potential of Urban Solutions for Socially Integrative Cities. https://doi.org/10.3390/books978-3-03936-679-8-14 46 Views 18 Downloads Show more details All versions This version Views Total views 46 46 Downloads Total downloads 18 18 Data volume Total data volume 6.7 MB 6.7 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords Artificial Intelligence-Powered Conflict Intelligence-Powered Conflict Early Conflict Early Warning Early Warning Systems Warning Systems Potential Artificial Intelligence-Powered Details DOI DOI Badge DOI 10.5281/zenodo.19519727 Markdown [](https://doi.org/10.5281/zenodo.19519727) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19519727.svg :target: https://doi.org/10.5281/zenodo.19519727 HTML <a href="https://doi.org/10.5281/zenodo.19519727"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19519727.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19519727.svg Target URL https://doi.org/10.5281/zenodo.19519727 Resource type Journal article Publisher Zenodo Published in African Journal of Inter-Religious Dialogue and Peacebuilding, 1(1), 2026. Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 11, 2026 Modified April 11, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies