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Abstract title Understanding the role of multicriteria decision analysis in transformative disaster risk governance
Author Ganesh Gorti, The Energy and Resources Institute (TERI) India (Presenting Author)
Co-author(s) Neha Khandekar, The Energy and Resources Institute (TERI) India
Navarun Varma, The Energy and Resources Institute (TERI) India
Neha Bharti, The Energy and Resources Institute (TERI) India
Suruchi Bhadwal, The Energy and Resources Institute (TERI) India
Shubham Sharma, The Energy and Resources Institute (TERI) India
Abstract text
As literature around disaster risk management is evolving, concepts like transformation - that had, until now, largely been used in parallel debates on climate change mitigation and adaptation - and the emphasis on its importance is growing stronger. Critical to transformation is brokering a coalition between stakeholders to enable social learning - a driver towards transformative change. This study asks how multi criteria decision analysis (MCDA) can facilitate in social learning. Using the example of one such analysis that was carried out for the state of Uttarakhand, in the context of extreme weather events, it highlights how the process of MCDA can lead to multidirectional knowledge exchange, encouraging collective actions, and resulting in multi-party and multi-level interactions. The process had also highlighted the actor-action variations in prioritization of adaptation options towards extreme weather events, furthering the need for and the importance of tools that would enable social learning to help facilitate co-learning. In this light, MCDA proves to be an useful “decision analysis process” in enabling facilitation amongst stakeholder groups and has the potential to contribute to social learning around fat-tailed climatic events and might have implications for transformative disaster risk management.