Discover With Your Data Series - DSO BYTES #3: Introduction to AI Applications with NLP and LLMs

Discover With Your Data Series - DSO BYTES #2: Preparing Your Data for Advanced Analyses

Leaders and key partners of UT Austin’s Good Systems, an interdisciplinary research grand challenge focused on ethical and responsible AI, explore what it means to build beneficial human-AI partnerships and how values-driven innovation can advance equity, sustainability, and improve quality of life for all. They will delve into the potential benefits and risks of new AI applications, the ethical questions that are keeping them up, exciting new technological developments, and their hopes for the future.

This talk surveys ten collaborative communities from around the globe that form the Intersecting Energy Cultures (IEC) Working Group, convened by the Penn Program in Environmental Humanities founding director, Dr. Bethany Wiggin, and Dr. Rebecca Macklin at the University of Aberdeen.

Planet Texas 2050 Symposium Call for Participants Deadline

Discover With Your Data Series - DSO BYTES #1: Preparing Your Planet Texas 2050 Data for Publication

This year's Mitchell Sustainability Symposium will continue its focus on the intersection of sustainability and student education on UT Austin’s campus and beyond. We’ll look into the state of sustainability at UT Austin through a series of panel discussions, lectures, and student presentations. Dr. Shalanda Baker, Vice Provost for Sustainability and Climate Action at the University of Michigan, will provide the lunchtime keynote address.

Since 2014, Texas Target Communities at Texas A&M University (TAMU) has worked alongside the Texas Environmental Justice Advocacy Services, a non-profit in Houston, to jointly investigate and document persistent vulnerabilities stemming from chronic pollution, natural hazards, as well as chemical and non-chemical stressors.

Trusting AI: How Transparency Accelerates Successful Human-AI Partnerships

Second International Symposium on Trustworthy Autonomous Systems