 The problems in this lab are very hard problems that people have been trying to tackle for years. There's a huge gap between what we do as researchers and what practitioners can actually do with our work. Interactive visualization is actually a very powerful tool to give human decision-makers access to large and complex amounts of data and also to give them more intuitive access to the models that we build. And so by presenting this data visually, they get a real visceral feeling for it. And that's really valuable if you have decision-makers in different parts of your organization. In this video, we show two cave lab applications that utilize simulation. The first application we're going to look at simulates a bike sharing network. We have a bike sharing data set from the city of Boston. In this simulation, we see information about the docks, represented by the blue dots. We know when bikes are picked up and dropped off. This application simulates a path from the pickup dock to the drop-off dock using the street network map. By visualizing the simulation, it becomes easy to see when shared bikes are busy and which stations have more bicycles available. In the second application, we developed a discrete event simulation model that explicitly accounts for operational uncertainty in fuel supply chains. This research was part of a U.S. National Academies of Sciences study investigating supply chain resilience following hurricanes. FEMA called for this study after the 2017 hurricane season. MIT's Center for Transportation and Logistics participated in the study and contributed a simulation of the Florida fuel supply chain. Simulation results based on various scenarios build intuition by connecting changes in system structure with flow dynamics. The application showed how emergency management interventions, either before, with preparedness and mitigation, or after, during response and support, can improve private sector supply chain performance. By convening stakeholders in a facilitated co-design process, the CAVE lab aligns intuition and accelerates decision-making in order to help us grow our research agenda and help the center to have more impact on the real world with our industry partners.