Tools Overview

Research Tools

Innovation and Data-Driven Discovery

Data science is interdisciplinary and integrates techniques from computer science, statistics, and mathematics to advance discovery through data analytics, visualization, machine learning, and more. The Data Science Institute and CyVerse supports researchers in integrating advanced AI technologies and advanced research software into their data-driven projects. Through open innovation and collaboration, DSI bridges the gap between specialized research tools and scientific advancements. 

Data Science Institute/CyVerse

Data science experts at the Data Science Institute and CyVerse work closely with researchers to integrate AI tools and advanced software into their research by applying advanced methodologies to ensure optimal use of cutting-edge tools and techniques. This support helps researchers efficiently adopt AI-driven tools and workflows to increase the potential for groundbreaking discoveries. Whether researchers need help implementing AI models, refining analytical methods, or exploring new data science applications, DSI experts offer insights and technical support to keep researchers at the forefront of data-driven discovery. To schedule a consultation or for more information, email the experts at rii-datascienceinstitute@arizona.edu.

Research Tools

The Data Science Institute makes use of many common research tools to help researchers integrate advanced AI technologies and advanced research software into their collaborative projects. 

AI Verde    CACAO     CyVERSE     Jetstream  

 OMERO   POSIT CONNECT  SOTERIA     XNAT 

 

DSI partners with the Data Science Research and Training  Steering Committee (DSRT), U of A Transdisciplinary Research in Principles of Data Science (TRIPODS) with efforts focused on the theoretical foundations of data science, and various trainers located across the University of Arizona campus.