News Category: ai-&-machine-learning

iSchool Well-Represented at 2020 ASIS&T Annual Meeting

Oct. 21, 2020

Several faculty members, PhD students, and a postdoctoral researcher will be representing The University of Texas at Austin School of Information at the 2020 ASIS&T Annual Meeting, which is being held virtually this year due to the COVID-19 pandemic, from October 22nd to November 1st. The theme of the conference is Information for a Sustainable World: Addressing Society’s Grand Challenges.

Soo Young Rieh to Launch Institute on Artificial Intelligence for Library and Information Professionals

Oct. 2, 2020

Professor Soo Young Rieh is partnering with collaborators from two other universities to launch the IDEA Institute on Artificial intelligence (AI), a two-year project funded by a $208,142 grant from the Institute of Museum and Library Services. The institute aims to help library and information professionals to lead in planning, deploying, and implementing artificial intelligence in library settings. A diverse cohort of twenty fellows will be recruited nationwide to attend the Institute, where they will develop conceptual and practical AI knowledge and skills in a collaborative learning environment.

iSchool Welcomes Dr. Elliott Hauser to the Faculty

May 7, 2020

The University of Texas at Austin School of Information is pleased to welcome Dr. Elliott Hauser, who will be joining us as an assistant professor in August 2020. He comes to the iSchool from the University of North Carolina at Chapel Hill, where he earned his Ph.D. in Information Science.

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

Feb. 5, 2020

From online information curation and resume screening to mortgage lending and police surveillance—artificial intelligence (AI) systems are increasingly being employed to make high-stakes decisions. The hope is that machine algorithms are more capable of producing objective results with unrivaled economic efficiency. But there is a growing concern that even algorithmic systems designed by seemingly conscientious developers might not be as devoid of human biases as expected.

Texas iSchool Welcomes New Assistant Professor, Dr. Min Kyung Lee

Aug. 31, 2019

The University of Texas at Austin School of Information is pleased to announce that Dr. Min Kyung Lee of Carnegie Mellon University will be joining the Texas iSchool as an assistant professor starting in January 2020. 

Dr. Lee is currently a research scientist in Human-Computer Interaction at Carnegie Mellon Universityin the Machine Learning Department and the Center for Machine Learning and Health.

Good Systems Grand Challenge Initiative Funds Seven iSchool Professors, Four Projects

July 29, 2019

Seven University of TexasSchool of Information faculty members were recently notified that they would receive approximately $100,000 in funding from Good Systems through The Good Systems Grand Challenge Initiative to support the first year of new projects. 

Texas iSchool Welcomes New Bill & Lewis Suit Professor of Information Technology

July 27, 2019

The School of Information at the University of Texas at Austin is pleased to announce that Dr. Ying Ding will be joining the iSchool faculty this fall as the Bill & Lewis Suit Professor of Information Technology.

Currently a Professor of Informatics and Information Science at Indiana University in the School of Informatics, Computing, and Engineering, Ding also serves as Director of Graduate Studies for the Data Science Program at IU.

Microsoft Research Partners with UT Austin, Texas iSchool for Microsoft Ability Initiative

March 29, 2019

Despite significant developments in the world of automated image captioning, current image captioning approaches are not well-aligned with the needs of people with visual impairments. People who are blind or with low vision share a unique and real challenge –their visual impairment exposes them to a time-consuming, and sometimes, impossible task of learning what content is present in an image without visual assistance. As such, these communities often seek a visual assistant to describe photos they take themselves or find online.