Research & Development

OIT offers a multi-tiered approach to helping researchers, including undergraduate students, graduate students, and faculty, from supporting basic analytics, quantitative, qualitative, and geographic information systems, AI, large language models, to complex, high-performance computing.
Learn more about OIT Research Services.
Research Computing Support for Academics
OIT Research Computing Support (RCS) statisticians offer statistical consultation and assistance with data analysis, study design, sample size determination, web surveys, machine learning, and data visualization. We provide faculty and students with access to research software such as ArcGIS, MATLAB, NVivo, Python, Qualtrics, SAS, SPSS, Stata, R, and more.
Contributions from OIT Statisticians are in High Demand
View the list of recently co-authored manuscripts by RCS.
Manuscripts
in Development
Research Assistance Requests on the Rise
Service
Assistance
Served
High Performance Computing
OIT High Performance and Scientific Computing (HPSC) works closely with researchers who need specialized, high-end, supercomputing resources. Researchers can access the Open and Secure Computing Enclaves for high-performance computing tasks. While the Open Enclave allows for seamless access for all researchers on campus, the Secure Enclave meets Protected Health Information and Controlled Unclassified Information federal regulations. Support for using these resources includes system administration, scientific computing, documentation, training, software installation, and maintenance.
UT ISAAC Next Generation Usage
View UT ISAAC Next Generation System Usage.
AI Tennessee Initiative Resources and Access
These AI resources are provided to the University through the partnership of the Office of Research, Innovation, and Economic Development (ORIED) and the AI Tennessee Initiative, with collaboration and support from OIT.
Visit the website at AI Tennessee Initiative Resources and Access.
UT-StorR
OIT introduced a new, secure, tiered online research repository, providing:
- Scalable for large datasets
- Secure protection for sensitive data
- Accessible for storing, managing, and sharing data
Learn more about UT Storage Resource for Research (UT-StorR).
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