Re-Energize Governance of Disaster risk reduction and resilience for sustainable development

拟议的研究将支持发展中国家和发达国家建立适应性治理能力，将公平的减少灾害风险和恢复力纳入发展规划和发展项目。我们强调社区参与灾害风险管理规划的重要性，以及法律原则和制度在减少社会知识和权力不对称方面的作用。在后常态科学的条件下，事实和指标是不确定的，价值是有争议的，需要一种涉及不同利益相关者和法律原则思考的规范制度方法。我们的研究方法将人工智能（AI）、机器学习（ML）和自然语言处理（NLP）结合在一个跨学科的研究议程中。它将把定性和定量数据转化为可操作的见解，并激发一种新的减灾治理方式。为此，该项目将创建和应用一个开放获取工具，系统地征求专家意见，为政府减少灾害风险的计划提供证据，并制定响应程序，整合规范的制度方法，以支持旨在增强社区复原力的任何特定政策干预的合法性。因此，该项目将开发创新和可执行的战略和技术，以帮助减少灾害风险和提高社会应对能力。将与灾害规划者、脆弱社区和其他利益攸关方讨论和谈判适当的政策和适应性治理机制。国际研讨会和将确保从案例研究中吸取教训，并确定最佳做法，最大限度地促进知识交流。因此，跨学科产出和准则将支持决策者和社区通过有效管理灾前和灾后风险，将弱势社区置于所有努力的中心，从而促进公平减少灾害风险。

The proposed research will support developing and developed states to build adaptive governance capabilities that will embed 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.Our nexus-informed methodological approach combines artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) within a transdisciplinary research agenda. 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.Appropriate policies and adaptive governance mechanisms will be discussed and negotiated with disaster planners, vulnerable communities and other stakeholders. International workshops and will ensure that lessons are learnt from case studies and that best practices are identified, maximising knowledge exchange. The transdisciplinary outputs and guidelines will thus support decision-makers and communities to advance equitable disaster risk reduction through effective management of pre- and post- disaster risks placing vulnerable communities at the centre of all efforts.