Open Innovation, Collaboration Driven
The Data Science Institute fills the gap between research software and domain science by working with research teams at the cutting edge of data-driven discovery. Our team of data scientists helps research projects leveraging cutting edge tools. DSI is open to new target areas. Please contact us at email@example.com(link sends e-mail) if there is an emerging data science technology, technique, or research area that should be considered.
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 foster Data Science Literacy, the Institute 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 UA Transdisciplinary Research in Principles of Data Science (TRIPODS) effort, focused on the theoretical foundations of Data Science.
Support for Research
- Machine Learning
- Natural Language Processing
- Image Informatics
- Large-Scale Data Visualization
Projects should combine medium- to large-scale, multidisciplinary research teams with the intention of pursuing external funding in six to 12 months. The purpose should be to produce proof of concept and results that provide competitive advantage when pursuing funding opportunities.