AI in academia with open innovation and collaboration
The Data Science Institute at the U of A integrates AI into teaching and research, driving innovation and expanding AI literacy. By connecting research software with domain science, DSI collaborates with research teams to provide seamless access to advanced AI tools, including large language models, customized training, and comprehensive support.
The DSI team of data scientists assists with research projects by providing a privacy-preserving, cost-effective AI distribution platform tailored for education and research. DSI is continually exploring new focus areas. If you have insights on emerging AI tools, data science technologies, techniques, or research topics that should be explored, email us at rii-datascienceinstitute@arizona.edu(link sends e-mail)
Data Science Literacy
Data Science is an interdisciplinary endeavor merging techniques from computer science, statistics, and math with domain-level concepts to increase discovery through data analytics and visualization. However, taking advantage of advanced computational resources and the "big data revolution" requires a set of specialized skills and core competencies.
To encourage Data Science Literacy, DSI partners with the Data Science Research & Training (DSRT) Steering Committee, and many campus trainers in support of teaching the computational and data science necessary for today's research needs. The Data Science Institute is also connected with the U of A Transdisciplinary Research in Principles of Data Science (TRIPODS) efforts focused on the theoretical foundations of Data Science.