Events
| Mon | Tue | Wed | Thu | Fri | Sat | Sun |
|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | |||
5 | 6 | 7 | 8 | 9 | 10 | 11 |
12 | 13 | 14 | 15 | 16 | 17 | 18 |
19 | 20 | 21 | 22 | 23 | 24 | 25 |
26 | 27 | 28 | 29 | 30 | 31 |
| Legend | |||||||||||
| JSG | BEG | UTIG | EPS | ||||||||
Doctoral Defense: Brandon Shuck
Start:July 1, 2021 at 9:00 am
End:
July 1, 2021 at 11:00 am
Location:
JGB 4.102
Please join the Jackson School of Geosciences for the final doctoral examination for BRANDON SHUCK on JULY 1, 2021; 9:00AM; JGB 4.102 (Barrow Family Conference Room) and via Zoom (see below).
The PhD project “Mechanisms Of Lithospheric Failure During Late Continental Rifting And Early Subduction” was supervised by Dr. Harm van Avendonk and Dr. Sean Gulick.
Committee members include: Donna Shillington, Nathan L Bangs, Thorsten Becker and Luc L Lavier
Zoom link: https://utexas.zoom.us/j/4732830175
Doctoral Defense: Evan Ramos
Start:July 1, 2021 at 10:00 am
End:
July 1, 2021 at 12:00 pm
Location:
JGB3.222
Please join the Jackson School of Geosciences for the final doctoral examination for EVAN RAMOS has been scheduled for JULY 1, 2021; 10:00AM; JGB3.222 and Zoom (see below).
The PhD project “Toward A Mechanistic Understanding Of Silicate Weathering And Li Transfer Across Landscapes, Past And Present” was supervised by Dr. Jaime Barnes and Dr. Dan Breecker.
Committee members include: Brady Foreman, Joel P Johnson and Daniella M Rempe
Zoom link: https://utexas.zoom.us/j/95141295703
Doctoral Defense: Wen-Ying Wu
Start:July 21, 2021 at 9:00 am
End:
July 21, 2021 at 11:00 am
Please join the Jackson School of Geosciences for the final doctoral examination for WEN-YING WU has been scheduled for JULY 21, 2021; 9:00AM; JGB3.222 and Zoom (see below).
The PhD project “Advancing the Application of Remote Sensing to Improve Land ?Surface Modeling” was supervised by Dr. Zong-Liang Yang.
Committee members include: Bridget R Scanlon, Bayani Cardenas and Daniella M Rempe
Doctoral Defense: Natasha Sekhon
Start:July 23, 2021 at 10:30 am
End:
July 23, 2021 at 12:30 pm
The final doctoral examination for NATASHA SEKHON has been scheduled for JULY 23, 2021; 10:30AM; Zoom (see below).
The PhD project “A monitoring and 20th stalagmite study from a shallow cave in New Mexico elucidating climate controls on geochemical variability with insight into stalagmite suitability for paleoclimate reconstructions ” was supervised by Dr. Jay Banner and Dr. Dan Breecker.
Committee members include: Bryan Black, Yuko M Okumura, Timothy M Shanhan
Zoom link: https://utexas.zoom.us/j/91054608576
The defense is open to all members of the University community and the public.
Hot Science At Home "To Err is Human"
Start:July 23, 2021 at 7:00 pm
End:
July 23, 2021 at 7:40 pm
Location:
Online (YouTube and Facebook)
Contact:
Didey Montoya, didey@austin.utexas.edu, 5124714211
View Event
Much of what we experience in our lives each day is entirely forgotten. So what leads our brains to store experiences in memory that help us navigate the world? Perhaps the most important signal is mistake-making. Formal schooling unfortunately conveys the message that becoming more skillful means making fewer mistakes, which is demonstrably untrue. Come and learn how mistakes lead to advantageous changes to our memories and are the key to learning.
Professor Bob Duke is a former studio musician and public school music teacher whose research at UT focuses on human learning and behavior. Along with Art Markman, he co-hosts the NPR program and podcast Two Guys on Your Head, produced by KUT Radio in Austin.
Time: 7:00 – 7:40 p.m.
The event will be streamed live through our Facebook and YouTube channels and will include a Q&A session. Additional information is available at www.hotsciencecooltalks.org.
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. |
Environmental Science Institute’s Community-Based Research SymposiumMay, 19 2026Time: 12:00 AM - 12:00 AMLocation: WCP 2.302 Community-based research is essential for understanding and addressing challenges that reflect real community needs. For example, rapid urban growth and increasing weather extremes are already straining communities, and these pressures are expected to intensify in the years ahead. This in-person symposium will bring together university researchers and students, community organizations and members, government entities, industry representatives, and other interested stakeholders to explore the opportunities and benefits of Community-based research in Texas and beyond. |
Urban Climate LectureMay, 22 2026Time: 12:00 PM - 1:30 AMLocation: Barrow Conference Room (JGB 4.102) Capturing Spatial Variability of Urban Microclimate in Process-Based and Machine Learning Models by Dr. Tirthankar \"TC\" Chakraborty, Earth Scientist at the Pacific Northwest National Laboratory (PNNL) Abstract: Cities modify their local microclimate via process-level changes and through alterations in bulk radiative, morphological, and thermal properties. Cities are also highly heterogeneous, leading to spatial variability in environmental hazards, with potential disparities in climate risks for different urban residents. While significant efforts have been made to improve urban representation in models to isolate broader urban climate signals, current models often struggle to resolve intra-urban variability due to poor structural and parameter constraints at the neighborhood scale. In this seminar, I will provide an overview of this urban spatial variability and its importance, our current limitations in capturing this variability, and potential ways forward by leveraging current-generation fine-grained satellite observations. Specifically, I will highlight our past and ongoing research involving both process-based numerical modeling and machine learning approaches to capture the spatial distribution of urban heat hazards. The lessons learned from these studies can guide future urban model development efforts to enable more accurate neighborhood-scale climate mitigation and adaptation strategies. |