Research Awards/Grants (Past)

Soo Young Rieh

Dania Bilal (University of Tennessee, Knoxville) and Clara M. Chu (University of Illinois at Urbana-Champaign) 

Institute of Museum & Library Services (IMLS)

09/01/2020 to 08/31/2023

The award is $208,142 over the project period.

IDEA (Innovation, Disruption, Enquiry, Access) Institute on Artificial Intelligence

The University of Tennessee at Knoxville; The University of Illinois, Urbana-Champaign; and the University of Texas, Austin are collaborating on the IDEA (Innovation, Disruption, Enquiry, Access) Institute on Artificial Intelligence (AI). This institute will address a gap in education and training for AI leaders in the library and information field through a one-week intensive, interactive, evidence-based, and applications-oriented professional development program for library and information professionals. The Institute will create two cohorts of leaders in knowledge and skills in AI to evaluate and implement in library and information environments. The curriculum will incorporate conceptual, technical, social, and applied aspects, including ethical issues of AI. The project will have national impact by sparking future innovation, collaboration, and dissemination of AI in library and information environments. It is supported by the ALA Center for the Future of Libraries and sustained through the Association of Information Science and Technology.

Matthew Lease

Daniel Stanzione, William Barth, Niall Gaffney, Tommy Minyard, and Paul Navratil 

National Science Foundation (NSF)

06/01/2016 to 03/31/2024

The collaborative award is $30,000,000 over the project period. The School of Information portion of the award is $172,281. 

Stampede 2: The Next Generation of Petascale Computing for Science and Engineering

The Texas Advanced Computing Center (TACC) at the University of Texas at Austin will acquire and deploy Stampede 2, a new, nearly 20 petaflop High Performance Computing (HPC) system. This system will be available to and accessed by thousands of researchers across the country. It will enable new computational and data-driven scientific and engineering, research and educational discoveries and advances. As a national resource, Stampede 2 will replace and surpass the current highly successful Stampede system. The new system will deliver over twice the overall performance as the current system in many dimensions most important to scientific computing, including computing capability, storage capacity, and network bandwidth. TACC and its academic partners will team with Dell, Inc. and Intel Corp. to procure and provide this system. 

HPC is intrinsic to discovery across the science and engineering disciplines served by the NSF. This resource allows researchers to explore those scientific and engineer frontiers that require very large scale computations not otherwise possible. Over the life of Stampede 2, the system is expected to serve many thousands of researchers spanning all NSF-supported disciplines, as the current system has done. In addition to being an immediately productive resource for a large community of computational engineers and scientists, Stampede 2 will also continue the community on an evolutionary path to future "many core" computing technologies. 

Stampede 2 will employ upcoming generations of Intel's Xeon and Xeon Phi processors, as well as the Intel Omni-Path network fabric. The system will maintain a familiar Linux-based software environment to insure a smooth migration of the large existing user base to the new system. The system and its software stack will be designed to support traditional large scale simulation users, users performing data intensive computations, as well as emerging classes of new and non-traditional users to high performance computing. Stampede 2 will support breakthrough discoveries and advances across a wide range of research topics.

Matthew Lease

Micron Technology Inc.

08/01/2019 to 07/31/2022

The award is $150,000 over the project period. 

Tackling Misinformation through Socially-Responsible AI

While the broad goals of socially responsible artificial intelligence (AI) appear clear in the abstract, how can we translate such goals into practice for a real problem facing our society today? We consider the following challenge: How can we design responsible AI technologies to curb the digital spread of misinformation? 

Exploring real use cases and interface designs, we develop prototype AI applications and user-centered evaluations to remedy situations in which misinformation circulates online.

Amelia Acker

Institute of Museum and Library Services (IMLS)

06/01/2018 to 01/31/2024

 The collaborative award is $199,811 over the project period. The School of Information portion of the award is $38,932.

Investigating Platform Development for Mobile and Social Media Data Preservation

The information we generate on social media sites and in mobile device apps represents the fastest form of data creation and collection in the United States. However, these data traces are complicated to work with because they are varied, inter-dependent, and vulnerable to loss. In this Early Career Development project, Dr. Amelia Acker at the University of Texas at Austin, will conduct a three-year, qualitative investigation into the activities of engineers and designers at five institutions where social media software is being developed. This project to better understand developer cultures will aid archives, libraries, and museums as they develop and implement best practices for gathering and preserving social media collections.

Kayla Booth

Jose Sanchez, Queens College, City University of New York;
Lynnette Yarger, The Pennsylvania State University;
Elizabeth Eikey, University of California San Diego

Institute of Museum and Library Science (IMLS)

04/01/2023 to 03/31/2024

The collaborative award is $246,588 over the project period. The School of Information portion of the award is $150,180.

Built-In Belonging: Scaling and Fostering Diverse and Inclusive Intergenerational Communities of Practice

The team has completed focus groups with iSchool Inclusion Institute participants where we piloted interview questions, tested and adjusted the questions, and gathered preliminary information on how community and belonging are cultivated. During the pandemic, we pivoted to longitudinal surveys where we used the theoretical framework and findings from the focus groups to investigate sense of belonging and community over time not only with LIS recruitment programs, but also compared to experiences in other institutions. We aim to now expand on the data collected primarily to complete interviews and disseminate findings. Interviews will provide nuanced data on how underrepresented students develop community within LIS recruitment programs, how this sense of community changes over time, which programmatic elements play a role in this evolution, how sense of community compares to experiences in other institutions, and how feelings in recruitment can scale to address isolation and gaps in support.