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April 10, 2026Open Access

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

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Authors

A(Abraham Kuol Nyuon (Ph.D)

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Overview

Data descriptor details a curated dataset for analyzing conflict dynamics in South Sudan, suggesting a foundation for research.

Key Points

  • The aim is to present a comprehensive dataset for studying conflict and peacebuilding in South Sudan.
  • Merged event data from ACLED, UCDP, and local media reports.
  • Covers events from 2018 to 2024.
  • Includes geolocated events with metadata on actors and fatalities.
  • Utilized an automated harmonization pipeline for data integration.
  • Dataset enables quantitative analysis of conflict dynamics and peace processes.
  • Supports research on ceasefire violations and predictive modeling in South Sudan.

Cite This Study

Abraham Kuol Nyuon (Ph.D) (2026) studied this question.

synapsesocial.com/papers/69d8962d6c1944d70ce077cbhttps://doi.org/10.5281/zenodo.19475147
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Computational Analysis of Conflict Dynamics and Ceasefire Resilience in South Sudan: A Network and Event Data Approach2024
  2. 2A Computational Analysis of Ceasefire Dynamics and Conflict Recurrence in South Sudan: A Network and Event Data Approach2023
  3. 3A Computational Analysis of Conflict Dynamics and Peace Agreement Implementation in South Sudan: A Network and Event Data Approach2025
  4. 4A Computational Framework for Modelling Conflict Dynamics and Peace Agreement Efficacy in South Sudan2024
  5. 5A Computational Analysis of Ceasefire Dynamics: Network Modelling of Violent Incident Data in South Sudan (2018–2023)2020