Events
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DeFord Lecture: La’Shaye A. E. Cobley
Start:August 29, 2019 at 3:45 pm
End:
August 29, 2019 at 5:00 pm
Location:
JGB 2.324
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DeFord Lecture | David MohrigApril, 23 2026Time: 3:30 PM - 4:30 PMLocation: JGB 2.324 The Flow of Sediment & Coastal Zone Response in Our Changing Environment: 20 Years of Measuring Landscape Construction & Destruction by David Mohrig, professor at the Jackson School of Geosciences |
Bureau of Economic Geology Seminar SeriesApril, 24 2026Time: 1:00 PM - 2:00 PMLocation: BEG VR Room 1.116C BEG Seminar presented by Abouzar Mirzaei Paiaman, in person Topic: CO2 and hydrogen storage |
UTIG Spring Seminar Series 2026April, 24 2026Time: 10:30 AM - 11:30 AMLocation: UTIG Seminar Conference Room - 10601 Burnet Road, Bldg. 196/ROC 1.603 More details on this seminar will be available soon. |
Bureau of Economic Geology Seminar SeriesMay, 01 2026Time: 1:00 PM - 2:00 PMBEG Seminar presented by Xiaofeng Chen, Oklahoma State University, in person. Topic: Experimental investigation of energy dissipation processes during earthquake initiation, propagation, and arrest |
Project SHIELD Workshop: Building a Hazard-Risk Research HubMay, 07 2026Time: 7:45 AM - 7:00 PMLocation: ROC The Project SHIELD Workshop aims to build connections across the Earth Hazard community, identify critical research gaps and challenges, and engage with stakeholders. |
Bureau of Economic Geology Seminar SeriesMay, 08 2026Time: 1:00 PM - 2:00 PMLocation: BEG VR Room 1.116C BEG Seminar presented by Dr. Naïm Celini, BEG, in person Topic: Salt tectonics, structure geology |
HydroML 2026 SymposiumMay, 19 2026Time: 12:00 AM - 12:00 AMLocation: POB 2.302 The HydroML 2026 symposium will explore how AI/ML concepts can be used to enhance the predictive understanding of complex systems in hydrological and geological sciences. The overarching goal is to discuss process-based scientific principles that can help integrate AI/ML with earth system science. In essence, the symposium seeks to stimulate discussions that will help develop physically guided AI/ML approaches which are explainable, interpretable, and improve the mechanistic understanding of earth system science. It will foster collaborations among researchers who are both new to the field and already involved, thereby strengthening ties within the community of AI/ML researchers. Abstract submission open until March 10, 2026 with acceptance March 27, 2026. Registration information coming soon. |
