Periodic Reporting for period 1 - POLIMPACT (Enabling politically sensitive climate change impact assessments for the 21st century)
Okres sprawozdawczy: 2022-10-01 do 2025-03-31
To overcome these limitations, POLIMPACT aims to develop new governance, conflict, and economic development scenarios that integrate political vulnerabilities, offering a more comprehensive understanding of how societies might respond to climate-related risks. By employing advanced techniques such as statistical simulations, machine learning, and expert elicitation, the project will generate politically sensitive scenario frameworks aligned with existing SSPs.
The research will focus on documenting how socioeconomic and political (including conflict) contexts shape observed climate impacts, individually and jointly, and how the evolution of these societal characteristics over time are mutually influential (i.e. endogenous). On this basis, the project will develop an endogenous statistical simulation system that provides coherent projections of governance, conflict, and economic development along each SSP pathway, in turn enabling assessing future risks to societies, such as poverty and hunger, under these improved scenarios. These efforts are expected to reveal a more nuanced understanding of climate-driven risks, with particular emphasis on the Global South, where current assessments likely underestimate challenges.
The expected impact of POLIMPACT is transformative, potentially redefining how climate change vulnerabilities are understood and addressed. Policymakers and researchers will gain access to robust tools for evaluating and mitigating risks tied to governance and political stability. By enhancing the quality of climate risk projections, this project can contribute to more effective adaptation strategies, better resource allocation, and informed policy decisions, ultimately aiding global efforts to combat climate change and its multifaceted consequences.
The main achievement to date is the publication of research on political determinants of disaster vulnerability. While results show how better institutions (open and inclusive governance) and peace significantly reduce the risk of large displacement events following flooding, the study also revealed critical challenges in accurately predicting displacement, owing to complex causality as well as data limitations. We also have a completed a running model (v.1) that is able to simultaneously and endogenously simulate the evolution of socioeconomic development, democracy, and conflict risk that will provide the foundation for future studies. Another encouraging achievement is the agreement with PNAS to organize a special feature article collection on “Climate change and the future of peace and security” which is scheduled for publication in 2026.