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Under one of the darkest skies in the world, in the Davis Mountains of West Texas, a telescope operator at the McDonald Observatory walks alone under the bright stars toward the massive Hobby-Eberly Telescope. Sitting inside the dome and communicating over the internet with their counterparts back in Austin, astronomers punch coordinates into the control panel and guide the huge telescope as it probes distant galaxies and black holes.

Algebra. Mention the word in public and anyone in earshot is likely to run screaming as far from you as possible. Society's mental block when it comes to mathematics is frequently based on a misconception that the kinds of mathematical principles we learn at school - such as algebra – are of little use to us in the real world.

​The dean and fellow members of the College Leadership Team alerted staff about plans for working in the College of Natural Sciences through the rest of 2020.

The brain's primary immune cells play a fundamental role in alcohol use disorder, according to a new study from Scripps Research and The University of Texas at Austin. The scientists are the first to link these cells—known as microglia—to the molecular, cellular and behavioral changes that promote the increased drinking that's associated with alcohol dependence.

​Dean Goldbart sent a message to the community after Interim President Jay Hartzell announced that the building once named for R.L. Moore would be renamed and that Painter Hall would soon have a new Heman M. Sweatt entrance.

Earl Potts, a University of Texas at Austin Computer Science and African and African Diaspora Studies student, has been featured in several local media outlets after he created the app "Keep Austin Black" to provide Austinites with an extensive directory of local Black-owned businesses. 

The novel coronavirus has been compared to the flu almost from the moment it emerged in late 2019. They share a variety of symptoms, and in many cases, an influenza test is part of the process for diagnosing COVID-19.

Dean Goldbart emailed college staff and supervisors to introduce the Lateral Communities initiative.

The datasets used by many software applications can be represented as graphs, defined by sets of vertices and edges. These graphs are rich with useful information, and can be used to determine patterns and relationships among the stored data. This process of discovering relevant patterns from graphs is called Graph Pattern Mining. A team of Texas Computer Science (TXCS) researchers advised by Dr. Keshav Pingali has done groundbreaking work to make these programs more efficient and accessible. Their work was recently accepted to Very Large Databases (VLDB) 2020, one of the premier conferences in computer science.