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From the College of Natural Sciences
Pandemic Model Shows Importance of Social Distancing in 22 Texas Cities

Pandemic Model Shows Importance of Social Distancing in 22 Texas Cities

Researchers have examined how COVID-19 would impact 22 metro areas in Texas under scenarios where levels of social distancing differ.

A new pandemic model of COVID-19 shows the positive role social distancing can play in preventing the spread of the illness in areas across the state. The report by researchers in The University of Texas at Austin's College of Natural Sciences projects significantly higher numbers of cases of infection, hospitalizations, intensive care unit admissions and deaths in 22 Texas communities under scenarios in which social distancing measures are moderate

A New Texas COVID-19 Pandemic Toolkit Shows the Importance of Social Distancing

A New Texas COVID-19 Pandemic Toolkit Shows the Importance of Social Distancing

Since 2012 a pandemic-planning tool developed by researchers at The University of Texas at Austin has helped public health officials plan for the consequences of a deadly and virulent virus. Now the pandemic modeler who developed the toolkit is studying COVID-19 and has built a new model to project the spread of COVID-19 across the U.S. She has teamed up with Dell Medical School to assess the potential impact of the pandemic in the Austin-Round Rock area.

Researchers Say Spread of Coronavirus Extends Far Beyond China’s Quarantine Zone

Researchers Say Spread of Coronavirus Extends Far Beyond China’s Quarantine Zone

Infectious disease researchers at The University of Texas at Austin and other institutions in Hong Kong, mainland China and France have concluded there is a high probability that the deadly Wuhan coronavirus spread beyond Wuhan and other quarantined cities before Chinese officials were able to put a quarantine in place. At least 128 cities in China outside of the quarantine zone, including cities with no reported cases to date, had a greater than even risk of exposure, according to a paper currently in press with Emerging Infectious Diseases, a journal of the U.S. Centers for Disease Control and Prevention.

Top Texas Science Stories and Discoveries of 2019

Top Texas Science Stories and Discoveries of 2019

As we look back on 2019, it's been a year filled with fascinating discoveries and big developments in the College of Natural Sciences and beyond. Read on to see some of the highlights from this year in Texas Science.

Meet the New Faculty Members in Natural Sciences

Meet the New Faculty Members in Natural Sciences

As the year draws to a close, we're looking back on highlights of 2019, including the arrival and hiring of dozens of new tenured and tenure-track faculty members in the College of Natural Sciences. Below are some of the stellar scientists and mathematicians new to our college community.

UT Austin Launches Institute to Harness the Data Revolution

UT Austin Launches Institute to Harness the Data Revolution

Research from UT Austin professors and TRIPODS members Alex Dimakis and Eric Price shows that it is possible to learn a deep generative model that dreams images of human faces (right panel), trained by observing only occluded images (left panel). The middle panel shows a previous approach for solving this problem, that fails. [Figure from: AmbientGAN: Generative models from lossy measurements, by A. Bora, E. Price and A.G. Dimakis, ICLR 2018.]

Advances in machine learning are announced every day, but efforts to fundamentally rethink the core algorithms of AI are rare.

Statistician Abhra Sarkar Receives Mitchell Prize

Statistician Abhra Sarkar Receives Mitchell Prize

Abhra Sarkar was awarded the 2018 Mitchell Prize for his research in animal vocalization modelling. Photo credit: Vivian Abagiu.

Abhra Sarkar, assistant professor of statistics and data sciences at the University of Texas at Austin, was awarded the 2018 Mitchell Prize by the International Society for Bayesian Analysis in August for his research in animal vocalization modelling.

A Growth Mindset Intervention Can Change Students’ Grades if School Culture is Supportive

A Growth Mindset Intervention Can Change Students’ Grades if School Culture is Supportive

Boosting academic success does not have to derive from new teachers or curriculum; it can also come from changing students' attitudes about their abilities through a short online intervention, according to the latest findings from the National Study of Learning Mindsets published in Nature on Aug. 7. Faculty in the Department of Statistics and Data Sciences contributed to the research.

Corwin Zigler Uses Statistics to Link Air Pollution to Health Impacts

Corwin Zigler Uses Statistics to Link Air Pollution to Health Impacts

Corwin Zigler. Photo courtesy of UT Dell Medical School.

As a new academic year approaches, we aim to introduce you to some of the scientists and mathematicians in our community, especially faculty who joined our UT community recently. First up: Corwin Zigler, associate professor in UT Austin's Department of Statistics and Data Sciences and in the Dell Medical School's Department of Women's Health.

New Chair for Statistics and Data Sciences Envisions Era of Growth for Department

New Chair for Statistics and Data Sciences Envisions Era of Growth for Department

Kate Calder, currently a professor of statistics and co-director of the Mathematical Biosciences Institute at Ohio State University, will be the new chair of UT Austin's Department of Statistics and Data Sciences (SDS), beginning in the fall. Calder, who will be on campus this month for an in-depth public conversation about computational health April 30th, is an award-winning statistician.