Team Name Climate change and challenges to nuclear plant safety – AI/ML analysis of extreme weather events Track Energy Use Case An analysis of long-term worldwide extreme event records using AI and machine learning techniques will reveal valuable insights for nuclear safety. The study may identify trends in various natural hazards (hydrological, meteorological, drought, wildfire, etc.), uncover correlations between hazards of different types, analyze hazard characteristics and affected world regions, and estimate probability of occurrence and induced risk to nuclear installations. The outcome may well support a better understanding of the natural hazard scenarios, ultimately contributing to more effective safety assessments for nuclear installations Technology Visualization/AI/ML Region EMEA Team lead Paolo Contri Team members   (1) Name: Paolo Contri (Team Leader) Organization: IAEA (International Atomic Energy Agency) Email: P.Contri@iaea.org   (2) Name: Jan Stowisek Organization: IAEA (International Atomic Energy Agency) Email: J.Stowisek@iaea.org   (3) Name: Vijayan Sugumaran (Professor) Organization: Oakland University Email: sugumara@oakland.edu   (4) Name - Aswini Sivakumar (Graduate Student) Organization: Oakland University Email - aswinisivakumar@oakland.edu   (5) Name - Yashashri Kadam (Graduate Student) Email - yashashriarvind@oakland.edu Organization: Oakland University   (6) Name: Chris Chiesa  Organization: PDC (Pacific Disaster Center) Email: cchiesa@pdc.org   (7) Name: Cassie Stelow  Organization: PDC (Pacific Disaster Center) Email: cstelow@pdc.org   Social media handles *all team members' social media links here* Is your team interested in participating in an interview? Y Optional: Expand on your technology expertise One of the most critical challenges in the energy sector ⚡as part of #SASHackathon 2024 is the Natural Hazard ⚠ assessment for nuclear facility site selection. In an age where energy demands are higher than ever, the safety and sustainability of nuclear facilities are paramount. The team that worked on the IAEA challenge has taken a data-driven approach to analyze 🔍vulnerabilities and assess risks using cutting-edge technology, with a commitment to securing our future💡 The Team re-examined 🔄the data from the perspective of planning future nuclear facilities or potentially retrofitting existing ones 🏢 that are experiencing different hazard conditions and patterns than when they were constructed 30 or more years ago.   The results obtained by the #SASHackathon team are very promising 🆗 and certainly deserve further investigation and analysis ➡At the end of this experience, the team looks forward to collaborating again in the coming months to continue discovering even more valuable and relevant information. 🙌👏         Team Photo Jury Video Pitch Video ... View more