Page 10 - Workshop on Reimagining Disaster Risk Reduction
P. 10

Workshop on “Reimagining Disaster Risk Reduction: The Role
                                        of Standardization and Innovative Technologies”



                  establishing standardized data formats would enhance data sharing across borders, enabling
                  more precise risk assessments and targeted interventions.

                  To truly achieve the goals outlined in the Sendai Framework for Disaster Risk Reduction, it is
                  crucial to integrate innovative technologies such as big data, artificial intelligence (AI), advanced
                  meteorology, and resilient infrastructure materials. He emphasized the need for international
                  cooperation, increased investment in research and development, and ensuring that these
                  technologies are accessible to developing countries.




                  Session Highlights


                  The workshop was divided into two thematic sessions, each featuring presentations, expert
                  panel discussions, and interactive Q&A sessions.


                  Session 1: Transforming Disaster Management – The Role of AI in Crisis Response

                  Moderated by Sanjay K. Agrawal, DDG DM, Department of Telecommunications (DoT), this
                  session focused on the transformative potential of AI in managing crises and mitigating disaster
                  impacts. Key themes included:
                  •    AI-driven disaster response systems: How AI can accelerate decision-making and improve
                       early warning systems.
                  •    Predictive analytics for risk assessment: Using big data and machine learning to model
                       disaster risks and predict potential hazards.
                  •    Cross-sectoral collaboration: Emphasizing the need for public-private partnerships to
                       deploy AI technologies effectively for disaster management.


                  Moderator for the Session:

                  •     Sanjay K� Agrawal, DDG DM, DOT

                  Mr. Sanjay K. Agrawal highlighted the Focus Group on AI for Natural Disaster Management, a
                  collaborative effort of the ITU, WMO, and UNEP, aimed at establishing best practices for utilizing
                  AI in data management, modeling, and communication during disasters. He commended
                  the group's efforts, led by Ms. Monique M. Kuglitsch, in actively engaging with the Global
                  Initiative on AI Solutions for Natural Hazard Resilience community. This collaboration promotes
                  knowledge sharing and fosters innovation in leveraging emerging technologies for effective
                  disaster management.

                  Key panelists included:

                  •    Amit Prothi, Director General, CDRI

                  This presentation delivered by Mr Amit Prothi outlined the development of a comprehensive
                  Disaster Risk & Resilience Assessment Framework (DRRAF), which aims to create an actionable
                  roadmap for improving disaster response capabilities. This framework emphasizes the
                  importance of sharing peer-to-peer knowledge among organizations involved in disaster
                  management, thereby enhancing overall preparedness and response strategies. A significant
                  challenge highlighted through this presentation is the issue of data scarcity and the lack of
                  technical capacity for analysis in disaster risk management4. These limitations can hinder



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