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Re-Energize Governance of Disaster Risk Reduction and Resilience for Sustainable Development (Re-Energize DR3)


This research project aims to support developing and developed states to build adaptive governance capabilities by combining artificial intelligence, machine learning and natural language processing to enable equitable disaster risk reduction and resilience in development planning and development programmes. We emphasize the importance of community involvement in disaster risk management planning and the role of legal principles and institutions in reducing asymmetries in knowledge and power within a society.
In conditions of post-normal science, where facts and indicators are uncertain and values are disputed, there is need for a normative-institutional approach involving diverse stakeholders and the ponderation of legal principles.


Aims of the program

We define disasters as extreme environmental events that negatively impact coupled human-natural systems, including but not limited to impacts on economic, health, infrastructure, and social subsystems. Extreme environmental events may be generated by natural forces, including climate change, and/or anthropogenic causes. This call specifically focuses on research efforts involving co-engagement and collective actions of all stakeholders to ameliorate disaster risk and enhance overall societal resilience to disasters.

Innovative aspects, originality and degree of novelty

This project will develop an innovative integrated strategy towards equitable DR3 through the novel combination of:

1) Quantitative methods (artificial intelligence (AI), machine learning (ML), natural language processing (NLP), resource nexus (RN);

2) Qualitative methods (surveys, in-depth interviews, workshops)

3) Deontological approach (values and principles). By crossing disciplinary, institutional and geographical boundaries, the project will produce original practical guidelines and tools for DR3 by placing communities at the center of all efforts.

It will transform qualitative and quantitative data into actionable insights and inspire a new breed of disaster reduction governance. The project will do this by creating and applying an open-access tool, systematically eliciting expert views to contribute evidence to governments' plans for disaster risk reduction, and developing response processes that integrate a normative institutional approach to support the legitimacy of any given intervention of policies intended to enhance the resilience of communities. This project will thereby develop innovative and implementable strategies and technologies to help reduce disaster risk and enhance societal coping capabilities.

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