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University of Texas at Austin


Online abortion medication demand highest in states with restrictive abortion policies

A study published in the American Journal of Public Health found that US residents requesting online abortion medications cited difficulty accessing clinical care and personal preferences as reasons for their requests. The demand was highest in states with restrictive abortion policies, with Mississippi leading the way.

SourceUniversity of Texas at Austin·JournalAmerican Journal of Public Health·DateOct 17, 2019

Police less proactive after negative public scrutiny, study says

A new study found that police officers become less proactive when they perceive negative public scrutiny, even if they are motivated to help people. The researchers surveyed 183 police officers and 238 firefighters across the southern US, finding a significant link between perceived public understanding and officer proactivity.

SourceUniversity of Texas at Austin·JournalOrganizational Behavior and Human Decision Processes·DateAug 19, 2019

Many Dallas-Fort Worth area faults have the potential to host earthquakes, new study finds

A comprehensive map of over 250 faults has identified the Fort Worth Basin as highly susceptible to seismic activity, with many small faults potentially capable of triggering earthquakes. The study recommends increased regulation and monitoring of wastewater injection to minimize the risk of induced seismicity.

SourceUniversity of Texas at Austin·JournalBulletin of the Seismological Society of America·DateJul 23, 2019

Civility still matters to some in cyberspace

Researchers analyzed over 400,000 sets of questions and answers on Stack Exchange to discover a 'politeness bias' where users prefer respectful responses, even when content isn't the most useful. The study's findings suggest that Q&A platforms should display more votes and consider renaming the 'best answer' feature to reduce bias.

SourceUniversity of Texas at Austin·JournalMIS Quarterly·DateJun 4, 2019

New AI sees like a human, filling in the blanks

Researchers at the University of Texas at Austin developed an AI agent that can gather visual information and reconstruct a full 360-degree image of its surroundings. The agent uses deep learning to choose the most informative shots, similar to how humans would take pictures in different directions based on prior experience.

SourceUniversity of Texas at Austin·JournalScience Robotics·DateMay 15, 2019