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Vol. 1 No. 1 (2026)

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A Curated, Multi-Source Event Dataset for Computational Analysis of Conflict and Peacebuilding in South Sudan

Abraham Kuol Nyuon, Associate Professor of Politics, Peace, and Security; Principal, Graduate College, University of Juba; SUSI Scholar on U.S. Foreign Policy
DOI: 10.5281/zenodo.19475147
Published: May 20, 2026

Abstract

This data descriptor presents a novel, integrated dataset for computational peace and conflict studies focused on South Sudan. It systematically merges and standardises event data from three primary sources: the Armed Conflict Location & Event Data Project (ACLED), the Uppsala Conflict Data Programme (UCDP), and curated local media reports. The dataset spans from 2018 to 2024, a critical period following the Revitalised Peace Agreement, and includes geolocated events with enhanced metadata on actors, fatalities, and conflict types. We detail the automated harmonisation pipeline, which addresses challenges of entity resolution, temporal alignment, and spatial verification. The resulting resource supports quantitative analysis of conflict dynamics, ceasefire violations, and subnational peace processes, providing a validated foundation for predictive modelling and policy-relevant research in South Sudan.

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How to Cite

Abraham Kuol Nyuon (2026). A Curated, Multi-Source Event Dataset for Computational Analysis of Conflict and Peacebuilding in South Sudan. African Peace and Conflict Studies (Broader - Interdisciplinary), Vol. 1 No. 1 (2026). https://doi.org/10.5281/zenodo.19475147

Keywords

Computational conflict analysisEvent data harmonisationSouth Sudan peace processACLED-UCDP integrationSubnational conflict dynamicsData fusion pipelinePeace agreement monitoring

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Vol. 1 No. 1 (2026)
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African Peace and Conflict Studies (Broader - Interdisciplinary)

References

  • The final curated dataset provides a comprehensive, machine-readable record of conflict and peacebuilding events across South Sudan from 1 January 2018 to 30 June 2024. It comprises a total of [NUMBER] discrete event records, each meticulously coded and verified through the multi-source methodology described previously. This temporal scope captures a critical period in the nation’s post-revitalised peace agreement trajectory, encompassing phases of fragile implementation, localised violence, and recurring political crises. The data are released in two primary, interoperable formats: a tabular CSV file for broad analytical use and a GeoJSON file for spatial analysis and mapping, both hosted on a persistent repository such as Harvard Dataverse with a permanent digital object identifier (DOI).
  • This integrated dataset provides the first structured, machine-readable resource for computational analysis of conflict and peacebuilding events in South Sudan from 2020–2026.
  • Dataset ScopeIntegrated event data spanning 2018-2024, featuring geolocated events with harmonised metadata on actors, fatalities, and conflict types for South Sudan.