Integrating expertise: Predicting hazardous weather through convergence science and artificial intelligence
7:00 – 8:30 pm MDT
Hailstorms, and turtles, and snow…oh my! Imagine you’re a National Weather Service forecaster preparing to warn about a coming hailstorm. Or maybe you’re a sea turtle conservationist on a mission to protect these marine reptiles from looming cold weather. You could even be a New York State Department of Transportation specialist deciding between jumping into the snow plow or salt truck. What information do you use to make these critical decisions?
In this Explorer Series lecture, Mariana Cains shares what convergence research is and showcases how researchers use AI to address societal needs and predict hazardous weather across a medley of hazards and decision-makers. Mariana will explain how researchers at NSF NCAR and collaborators from across the country and disciplines work in integrated teams to better understand how and why these critical decisions are made and to develop information and tools that are both useful and used by decision-makers.
Mariana Cains
Dr. Mariana Cains is a Scientist in the Mesoscale & Microscale Meteorology Laboratory at the U.S. National Science Foundation National Center for Atmospheric Research (NSF NCAR). As a member of the Weather Risk Analysis and Decisions research group, Mariana’s interests exist at the intersection of people and the environment: the assessment, communication, and management of weather hazards, risks, and impacts. This has led her on a path through human health risk and ecological risk of land use, the role of human factors in cyber security risk, integrating risk and resilience for regional adaptive management, and most recently why environmental risk information becomes useful to and used by expert decision-makers.
Through her research and engagement activities with the Convergence Science Program and Education, Engagement & Early-Career Development, Mariana fosters collaborations within and across labs and programs, exposes the future workforce to the value of convergence research and team science, and underscores the importance of convergence approaches for addressing Earth system science challenges and societal needs.