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Prabhat Hegde is a PhD candidate in the Thayer School of Engineering whose research interests include climate risk, climate change mitigation and adaptation.
Join us online for our next New Energy Series talk, "Should We Stay or Should We Leave? Multi-objective Tradeoffs In Identifying Robust Beach Nourishment and Managed Retreat Strategies," with Prabhat Hegde, PhD Candidate, Dartmouth.
In some low-lying coastal areas around the world, decision-makers are beginning to consider "managed retreat" of human populations to adapt to sea-level rise. One of the main challenges in designing a managed retreat strategy is determining when to trigger retreat. Decision-makers lack tools and scientific understanding to evaluate whether the benefits of interim response strategies, like beach nourishment, outweigh the costs of waiting longer to trigger retreat.
In this talk, Thayer School of Engineering at Dartmouth PhD candidate Prabhat Hegde will contextualize the coastal beach nourishment problem within the umbrella of decision analyses frameworks for climate change adaptation. He will demonstrate how considerations of uncertainty and multiple objectives improve upon existing decision-making practices, drastically changing expected outcomes and the recommended timing of retreat. A Q&A following the presentation will be moderated by Dartmouth Research Scientist Hunter Snyder.
Prabhat Hegde is a graduate research assistant at the Thayer School of Engineering. His research touches upon various aspects of optimizing energy and transportation systems for effective city-scale planning against climate risks. Professionally, he has had various industrial research-focused experiences in the past from the renewable energy, downstream oil & gas, and automotive sectors. In his short professional career so far, he has had the opportunity to work across India, France, Germany and the United States, mastering intercultural nuances and effectively deploying his multilingual ability to communicate technical content in different languages. He is also an avid data science enthusiast.
Events are free and open to the public unless otherwise noted.