Blue Sky Studies”which are highly detailed structural mapping done when there is no active emergency to locate vulnerabilities before disaster strikes. A prime example of this is the lab’s SCAN (Supply Chain Analysis Network) mapping, which evaluated infrastructural bottlenecks in transportation and fuel pipelines.Looking toward the future of humanitarian tech, the conversation highlights cutting-edge applications of predictive modeling and advanced AI training. For AI developers, Goentzel offer’s a futuristic vision for disaster AI: rather than letting a machine application start from scratch during an active crisis, the lab is actively researching ways to pre-embed AI with complex supply chain network science and system dynamics. By providing the machine with a sophisticated baseline of structural interdependencies beforehand, the AI can immediately interpret real-time news and data influxes with extreme speed. This effectively frees up human humanitarian leaders to step away from the information onslaught and focus entirely on creating the rapid physical and collaborative connections needed to save lives.The MIT Humanitarian Supply Chain Lab offers resources and educational platforms to connect researchers, technology experts, and ground-level aid workers. Goentzel invites listeners to join the lab’s humanitarian supply chain community and take advantage of free online course developed by the lab, like the lab’s free Humanitarian Logistics course through MITx: https://www.edx.org/learn/business-administration/massachusetts-institute-of-technology-humanitarian-logistics An article on the Lab's supply chain resilience work can be found here: https://ctl.mit.edu/sites/default/files/documents/scmr-innovation-strategies-september-2025.pdfTo learn more about Eric Talbert’s work and the MedCycle Network, check out his interview on the Grow Healthy, Help People Podcast: https://youtu.be/w495cOVVajw?si=EMZLr-zZXAWM93Oq