The Data Science Division of CITI helps researchers to understand and identify solutions to their data problems. Our services include the development, deployment, and maintenance of analytic tools and computing infrastructures to support data-driven research for Clemson University and partners. We also provide training for the usage of these tools and infrastructures and participate in research and proposal development activities.

We work closely with researchers to better understand their goals and practices. We recommend appropriate solutions and train students/faculty with cutting edge technologies to implement the solutions. In addition, we develop original materials and methods for in-person learning and self-directed learning to enable research. We would like to help faculty to create, test and apply their own training materials and methods for their research groups.

The Center for Geospatial Technologies offers opportunities to learn and apply tools that can enable the use of spatial data in your projects. Whether you need to collect, analyze, or present data, we support activities ranging from utilizing new data sets (e.g., Lidar) to integrating Geographical Information Systems (GIS) into your research and teaching. The Center is located in Cooper Library and provides showcase, collaboration, and training facilities to facilitate the development of the geospatial community on Clemson's campus. [more info]

HPC group provides research and application support for Clemson's Palmetto cluster and national dedicated computing platforms like XSEDE and Open Science Grid. We engage with researchers on transition to dedicated HPC system, optimization of workflows and design of optimal approach to conduct research utilizing HPC resources. We provide training for best utilization of HPC systems, introduction to programming for researchers and specialized training on HPC related techniques.

The Visualization Group enables students and researchers to gain keen insight into complex data sets by equipping them with visualization and virtual reality resources that allow for visualizing the expected and discovering the unexpected in their data to further advance their studies. [more info]