Exploring potential causal models for climate-society-conflict interaction

Date

2023-04-22

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Scitepress

Department

Type

Conference paper

ISSN

2184-5034

Format

Free to read from

Citation

Weisi G, Sun SC, Wilson A. (2023) Exploring potential causal models for climate-society-conflict interaction. In Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk COMPLEXIS, 22-23 April 2023 , Prague, Czech Republic, Volume 1, pp. 69-76

Abstract

Climate change affects human liveability and may increase the likelihood of armed violence. However, the precise repercussions on social cohesion and conflict are difficult to model, and several socio-economic mechanisms exist between local climate changes and conflict, and are often hidden to us. Nonetheless, we offer an exploratory data analysis in this paper at a global scale, on the relationship between diverse climate indicators and conflict. Here we investigate potential basic causal models between climate change and conflict, including the causal direction, causal lag, and causal strength. We use historical climate and extreme environmental event data from the past 50 years across the world to identify geographic region-specific causal indicators. The initial broad findings are: (1) rainfall is a reasonably general indicator of conflict, (2) there are fragile regions which exhibit a strong causal link between extreme climate variations and conflict (predominantly in Africa and South Asia), and 3. there exists a common time lag of the causality between the climate variations and the conflict in many regions, which is worth further study.

Description

Software Description

Software Language

Github

Keywords

Conflict, Climate Change, Causal Models

DOI

Rights

Attribution-NonCommercial-NoDerivatives 4.0 International

Relationships

Relationships

Supplements

Funder/s

Alan Turing Institute via the Defence and Securities Program