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Stakeholder Engagement to Re-Energize Disaster Risk Reduction and Resilience (DR3) for Advanced Data Processes

Organizer: Elizabeth Christenson-Diver
Format: Online, Morning

Abstract:
The effective implementation of sustainable development goals and equitable DR3 involves stakeholder engagement across governance levels. This session focuses on innovative approaches to understand stakeholders needs. We advocate that the involvement of stakeholders most impacted by disasters and DR3 policies together with decision-makers creates better-informed decisions. We present the collaborative work between UNC and UCL for stakeholder selection and engagement with insights into its application in the US and the UK, discussing how stakeholder engagement will be used to inform machine learning for DR3 and application to other case studies. Stakeholder selection followed stakeholder mapping along power, legitimacy and urgency dimensions to ensure no one was left behind. The stakeholder selection included mixed-methods approaches including snowball sampling to grow the list based on the three dimensions. The UNC Snow Angel method recognizes that further away from the angel’s center, the less engaged stakeholders tend to be on a particular issue. We attempt to rectify the need for broad stakeholder input while recognizing that those most impacted (or vulnerable) and those with power likely have the deepest stake in the issues at hand. Stakeholder engagement included workshops and surveys. The UCL Bow Policy-Delphi method is an iterative survey where the feedback from one round informs the following round (two loops) to identify areas of consensus and dissensus (the two loose ends of the ‘double bow’). The results of the integrated stakeholder engagement between UCL and UNC will define stakeholders needs; priorities for equitable DR3 governance taking into account power, legitimacy and urgency; areas of consensus and dissensus for DR3 governance; and definitions of vulnerable populations; and indicators for measuring equitable distribution of DR3 resources that could be applied in other locations. Finally, we will discuss implications of engaging stakeholders to inform artificial intelligence processes for project partners in seven countries.

Themes: Integrated Action for the SDGs, Sustainability for Who?