The authors of this perspective paper argue that a lack of interoperability between data and models, information and communication, and governance is a barrier to successfully integrated disaster risk management and climate adaptation.
In this perspective, the authors take a detailed look at the challenges facing systems and organizations seeking to address the growing impacts of extreme weather events and climate change. The situation underlines the importance of aligning disaster risk management needs with adaptation measures.
To address these challenges requires collaboration across fields of expertise, the authors argue. To this end, they set out a transdisciplinary knowledge co-production approach to promote interoperability between these two components: disaster risk management and climate change adaptation. The authors outline a framework for enabling knowledge co-production to enhance risk governance. They also put forward a novel, open-source, federated data infrastructure that allows stakeholders to consolidate and connect relevant data sources, models and information products.
Tool / Tandem guidance is an interactive, online tool to help scientists and decision-makers collaborate to improve climate change adaptation planning and policies.
Project / The FAIR2Adapt project seeks to improve the accessibility and interoperability of data needed to inform climate change adaptation efforts.
Project / The EU Horizon project DIRECTED aims to improve the governance and management of climate disasters across multiple civil society and emergency agencies.
Feature / SEI and partners created a climate village at a historic arts festival in Hungary to bring youth views and artistic expression into climate policy discussions.
Event on 18 May – 21 May in Cavtat / Luke Gooding will present a new paper which focuses on scaling participatory retrofit across diverse housing stocks.
Perspective / This perspective argues for a systemic approach by integrating mitigation and adaptation by default into every policy, budget and planning decision.
