April 20, 2022
Making Science Accessible: A collaboration with Science Journal for Kids
In 2021, the University of Texas at Austin Civil, Architectural and Environmental Engineering Professor Fernanda Leite published a paper in an academic journal showing the benefits of virtual reality to construction engineers.
March 5, 2022
Challenging the Status Quo in Machine Learning
UT researchers Maria De-Arteaga and Min Kyung Lee talk about their different but complementary work to make algorithms less biased and harmful.
July 5, 2021
Mining Social Media: The Next Frontier in Disaster Response
The University of Texas at Austin is one of many academic institutions working with community volunteers in Maryland to help teach social media how to respond to disasters.
April 29, 2021
What’s That Smell?
UT researchers took the state-of-the-art Vocus "Sniffer" on the road across Central Texas to find out whether some people are at greater risk than others of breathing in polluted air.
March 31, 2021
Environments and Borders: A “Not Even Past” Collaboration
Borders today are understood as political demarcations that separate states and nation-states. But, sometimes, we share more in common with the people beyond these arbitrary lines than we think.
March 16, 2021
Introducing Planet Texas 2050: A “Not Even Past” Collaboration
As part of the Institute for Historical Studies' "Climate in Context" events, Planet Texas 2050 has teamed up with the digital magazine "Not Even Past" to produce a series of articles outlining why history and archaeology are important to our understanding and mitigation of the effects of climate change. This article introduces our grand challenge.
Jan. 29, 2021
Machine Learning for Social Good
Last year, Maria De-Arteaga joined the McCombs School of Business faculty as an assistant professor in the Information, Risk and Operations Management Department. During her Ph.D., she became increasingly concerned about the risk of overburdening or underserving historically marginalized populations through the application of machine learning. She's now devoted her career to understanding the risks and opportunities of using ML to support decision-making in high-stakes settings.
Oct. 6, 2020
UT Researchers Hunt for COVID-19 in Human Waste
Our dirty, smelly wastewater could hold something very valuable: the key to tracking COVID-19 hot spots in Austin before diagnostic testing is able to identify outbreaks. The novel coronavirus is a fecally shed virus, which means its signature shows up in our waste. Because of this, University of Texas researchers are hoping they can track its spread by studying human feces.
Oct. 2, 2020
Engaging Communities to Fight a Climate Crisis
In a first-of-its-kind study, UT, the City of Austin, the community organization Go! Austin/Vamos! Austin, and St. Edward’s University, will creatively examine long-standing problems in neighborhoods that have worse outcomes in response to climate-related issues because of inadequate infrastructure and investment.
Sept. 21, 2020
Robots in Real Time
When we think of the robots in practical use today, the most common are stationary robots that help assemble parts in automotive factories or can assist in performing delicate medical surgeries. Building a robot that can move within the human world with all its unpredictable variables, like self-driving cars, is oftentimes more difficult.