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Changing the Future by Engaging the Present and Preserving the Past
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Protect Texas Together

Graduate students conduct information research with in a lab with a two-way mirror

Information Research

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iSchool Testimonials

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Diversity & Inclusion

Announcements

Behavior Concerns and COVID-19 Advice Line (BCCAL)

The Behavior Concerns and COVID-19 Advice Line (BCCAL): 512-232-5050

To make it as easy as possible for faculty, staff, students and visitors to get support for their COVID-19 questions and concerns, the Behavior Concerns Advice Line (BCAL) is now the Behavior Concerns and COVID-19 Advice Line (BCCAL). Trained staff help callers explore available options and provide guidance and resource referrals to address behavior concerns and answer COVID-19 questions. Call 512-232-5050 or share your concerns 24/7 using either the behavior concerns or COVID-19 questions online form.

Serif "I" in Didot font on a burnt orange background

I = Informatics: Our undergraduate minor has changed from Information Studies to Informatics

From now on, you will find the iSchool’s undergraduate course offerings listed under I instead of INF. Graduate courses remain under INF.

Recent Research

Thematic human computer interaction imagery representing hands on a laptop keyboard, a 3D neurological model of a brain, and user eye tracking technology

Jacek Gwizdka Awarded Grant to Study Health Information Search Behavior & Cognitive Impairment

Dr. Jacek Gwizdka was awarded a collaborative grant of $99,880 from the University of Texas at Austin Vice President for Research Associate Professor Experimental (APX) Initiative. Gwizdka's eye-tracking study, Health Information Search Behavior as a Manifestation of Cognitive Impairment, will explore the feasibility and utility of internet search behavior eye-tracking measurements as a metric for cognitive changes associated with aging and disease.

Drawn diagram of a brain connected by lines to icons of gears, charts, genetic research

Min Kyung Lee Wins Grant to Improve Fairness in Artificial Intelligence (AI)

Dr. Min Kyung Lee, assistant professor at the The University of Texas at Austin School of Information, is investigating how to improve fairness in artificial intelligence (AI). Her research project entitled "Advancing Fairness in AI with Human-Algorithm Collaborations" was awarded $1,037,000 in grant funding from the National Science Foundation (NSF)​ in partnership with Amazon.