Learning from the past and stepping into the future : toward a new generation of conflict prediction

Tools

Ward, Michael D. and Metternich, Nils W. and Dorff, Cassy and Gallop, Max and Hollenbach, Florian M. and Schultz, Anna and Weschle, Simon (2013) Learning from the past and stepping into the future : toward a new generation of conflict prediction. International Studies Review, 15 (4). pp. 473-790. ISSN 1521-9488 (https://doi.org/10.1111/misr.12072)

[thumbnail of Ward-etal-ISR-2013-toward-a-new-generation-of-conflict-prediction]
Preview
 Text. Filename: Ward_etal_ISR_2013_toward_a_new_generation_of_conflict_prediction.pdf
Accepted Author Manuscript
Download (519kB)| Preview

Abstract

Developing political forecasting models not only increases the ability of political scientists to inform public policy decisions, but is also relevant for scientific advancement. This article argues for and demonstrates the utility of creating forecasting models for predicting political conflicts in a diverse range of country settings. Apart from the benefit of making actual predictions, we argue that predictive heuristics are one gold standard of model development in the field of conflict studies. As such, they shed light on an array of important components of the political science literature on conflict dynamics. We develop and present conflict predictions that have been highly accurate for past and subsequent events, exhibiting few false-negative and false-positive categorizations. Our predictions are made at the monthly level for 6-month periods into the future, taking into account the social–spatial context of each individual country. The model has a high degree of accuracy in reproducing historical data measured monthly over the past 10 years and has approximately equal accuracy in making forecasts. Thus, forecasting in political science is increasingly accurate. At the same time, by providing a gold standard that separates model construction from model evaluation, we can defeat observational research designs and use true prediction as a way to evaluate theories. We suggest that progress in the modeling of conflict research depends on the use of prediction as a gold standard of heuristic evaluation.

ORCID iDs

Ward, Michael D., Metternich, Nils W., Dorff, Cassy, Gallop, Max ORCID logoORCID: https://orcid.org/0000-0001-6352-4301, Hollenbach, Florian M., Schultz, Anna and Weschle, Simon;
  • Item type:Article
    ID code:57198
    Dates:
    Date
    Event
    21 November 2013
    Published
    Notes:This is the peer reviewed version of the following article: Ward, M. D., Metternich, N. W., Dorff, C., Gallop, M., Hollenbach, F. M., Schultz, A., & Weschle, S. (2013). Learning from the past and stepping into the future: toward a new generation of conflict prediction. International Studies Review , 15(4), 473-790, which has been published in final form at 10.1111/misr.12072. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving
    Subjects:Political Science
    Science > Mathematics > Probabilities. Mathematical statistics
    Department:Faculty of Humanities and Social Sciences (HaSS) > Government and Public Policy > Politics
    Depositing user: Pure Administrator
    Date deposited:01 Aug 2016 08:44
    Last modified:22 Dec 2024 01:18
    URI:https://strathprints.strath.ac.uk/id/eprint/57198
CORE (COnnecting REpositories)