On November 13th, 2020, 1-2 PM UTC, we had Dava Newman, Apollo Program Professor of Aeronautics and Astronautics and Engineering Systems at the Massachusetts Institute of Technology. She presented Physics-informed GANs for coastal flood visualization with the collaboration of her students Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa, Farrukh Chishtie, Natalia Díaz-Rodriguez, Océane Boulais, Aaron Piña, Alexander Lavin, Yarin Gal, Chedy Raïssi. The moderator will be Marco Tedesco, Lamont Research Professor , Marine Geology & Geophysics , Lamont-Doherty Earth Observatory (LDEO), The Earth Institute, Columbia University. As climate change increases the intensity of natural disasters, society needs better tools for adaptation. As stakeholders ranging from local to national governments cope with increased flood risks due to climate change, visual explanations can aid their decision-making process. And while today’s flood modeling capabilities include both high-level, color-coded maps, as well as intimate, street-level images, decision-makers would benefit from imagery that is both holistic and intuitive. Accordingly, the MIT-Portugal / NASA / AIIA Earth Intelligence Engine team has produced satellite images of future coastal floods: physics-informed, photorealistic images that look like real satellite imagery. The proposed visualizations will enable a variety of stakeholders in climate resilience planning and disaster preparedness to communicate flood risks to decision-makers.