Talk Abstract: There will always be a need and important role for traditional, individual science and engineering pursuits. However, with the computing science and technology advances of the past decade, combined with artificial intelligence, there is a strong need for multi-disciplinary teams to address today’s multi-dimensional and multi-disciplinary systems to drive next-generation break throughs. This need can be addressed through increased engagement of: i) collaborative, multi-disciplinary, multi-entity teams, ii) coordinated and maintained project vision through effective research integration, and iii) improved and more FAIR (finable, accessible, interoperable, and reproduceable) access to data resources (including software and code). If this style of more open and science/physics-based approach is paired with computing science expertise and innovations, then the inventiveness and pace of results ensuing from such relationships should be quite exciting to witness as they are brought to bear on the world’s energy demands. This presentation will review examples of how cross-disciplinary collaborations leverage AI and computing science expertise are being leveraged to address energy, social and environmental challenges.
Location: Hybrid
- Sennott Square Building, Room 5317
- Zoom (password: CS2022) Virtual attendees must be signed into Zoom with their university account or chose "Sign in with SSO" to attend this meeting.
Note: CS2003 students attending in person must sign in and out of the event.
Biosketch: Kelly Rose, PhD, is a Geo-Data Scientist with over 20 years of service and research experience at the U.S. Department of Energy’s National Energy Technology Laboratory (NETL). She is also the Technical Director for NETL’s Science-based Ai/Ml Institute (SAMI). Her research focuses on developing novel science-based, data-driven methods and models for addressing energy and environmental challenges, including NETL’s award-winning Energy Data eXchange® (EDX) ecosystem. Rose leads collaborative teams to deliver impactful computational data science resources and models in reusable, scalable, and reproducible formats. Her work has been applied to many scientific and societal domains including Earth science, geoinformatics, research data management and virtualization, climate and metocean, oil spill prevention, mineral and groundwater resources, geohazards, social and environmental justice, materials innovation, infrastructure resiliency, smart cities, and smart systems. She is coauthor on more than 100 public datasets, models, tools, journal publications, and technical studies. Rose has also mentored more than fifty STEM research interns and fellows and supports additional STEM outreach activities. She holds degrees from Denison University (B.S), Virginia Tech (M.S.), and Oregon State University (PhD). Dr. Rose will deliver a colloquium talk at 2 p.m. on Friday, February 11th.
Host: Daniel Mosse