APLGCOJul 8, 2024

The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty

arXiv:2407.11045v18 citationsh-index: 54
Originality Synthesis-oriented
AI Analysis

This is an incremental effort to establish a benchmark for conflict forecasting, primarily targeting researchers and policymakers in peace and security domains.

The paper outlines a prediction challenge to forecast the number of fatalities in armed conflicts using UCDP estimates, detailing the format, evaluation metrics, and procedures for contributions.

This draft article outlines a prediction challenge where the target is to forecast the number of fatalities in armed conflicts, in the form of the UCDP `best' estimates, aggregated to the VIEWS units of analysis. It presents the format of the contributions, the evaluation metric, and the procedures, and a brief summary of the contributions. The article serves a function analogous to a pre-analysis plan: a statement of the forecasting models made publicly available before the true future prediction window commences. More information on the challenge, and all data referred to in this document, can be found at https://viewsforecasting.org/research/prediction-challenge-2023.

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