Abstract
Forecasting mass atrocities is a central concern for academics, policymakers, and practitioners, but determining where and when mass atrocities will occur is far from straightforward. Over the last few decades, researchers around the world have developed several forecasting models. Some of these models—like the Political Instability Task Force model or the Australia Forecasting Project model—have emphasized quantitative assessments of the risk of mass atrocity. Others—like the UN Framework of Analysis for Atrocity Crimes—have focused on how case-specific factors coalesce to impact the onset of mass atrocity. In this article, we suggest that a multi-methods framework that capitalizes on the strengths of each of these approaches enhances the ability to correctly forecast mass atrocities. Specifically, we rely upon case-based analysis that identifies combinations of factors that are associated with the absence of atrocities as well as two quantitative approaches geared toward predicting the onset of mass atrocity. After integrating results, we assess how well the forecasts fare and discuss the possible uses of our multi-methods approach.
First Page
54
Last Page
83
Acknowledgements
The authors wish to thank the editorial team and the other contributors to this special issue. This research was sponsored by the Political Instability Task Force (PITF), which is funded by the US Central Intelligence Agency. The views expressed herein are the authors’ alone and do not represent the views of the US Government.
DOI
https://doi.org/10.5038/1911-9933.18.1.1951
Recommended Citation
Nyseth Nzitatira, Hollie; Billing, Trey; and Schoon, Eric W.
(2024)
"Leveraging a Multi-Method Approach to Improve Mass Atrocity Forecasting,"
Genocide Studies and Prevention: An International Journal:
Vol. 18:
Iss.
1:
54–83.
DOI:
https://doi.org/10.5038/1911-9933.18.1.1951
Available at: https://digitalcommons.usf.edu/gsp/vol18/iss1/8
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