Data Science Institute

The Data Science Institute (formerly Data7) fosters the next generation of data-driven research by encouraging university-wide interdisciplinary collaboration, gaining external visibility, developing industry alliances, and increasing funding for Arizona research.

By connecting Arizona researchers and aligning institutional expertise, computational resources, and infrastructure, the Data Science Institute enables investigators to ask more complex questions and achieve outcomes not easily attainable as individual investigators or within purely disciplinary teams.

U of A DataLab

The U of A DataLab serves as a vibrant center for fostering interdisciplinary research in the field of data science. It offers a collaborative environment where researchers and students from diverse disciplines come together to explore, analyze, and extract insights from complex datasets. Through interdisciplinary workshops, consultations, and a range of tools and resources, the DataLab empowers researchers, students, and industry partners to harness the potential of data-driven discovery.

learn more about the u of a datalab

The Data Science Institute connects with the U of A data science community.

AI Zone makes bean counting more fun!

April 17, 2025

AI powered tools are becoming increasingly accessible and practical and learning how to use them is becoming easier. These tools are allowing analysis that was not feasible a few years ago. Through a NSF grant (SWEETER), the Data Science Institute created the “AI Zone”.

The Data Drip - February/March 2025

March 20, 2025

A Digest of Data Science News at the University of Arizona
* Data Science Institute
* News and Activities
* Calendar

The Data Drip - January 2025 Special Edition

Jan. 27, 2025

Announcing the Spring 2025 U of A DataLab Workshop series
and sessions!

Research Bazaar

ResBaz Arizona is a free intensive conference where researchers come together to up-skill in “next generation digital research tools and skills.”

10 – 11:15 a.m., Sept. 9, 2025

Leadership through Project Management: Team Culture Tips for Successful Research Projects

A session focused on fostering thriving diverse teams through humble, authentic leadership, positive mindset, and strong team dynamics to enable collaboration and success from any position in the organization.

10 – 11:15 a.m., Sept. 30, 2025

Planning for Your Next Research Project

A session designed to enhance team communication and ensure research objectives are clearly defined and effectively communicated through structured planning processes.

Man writing in notebook next to open laptop

Get Started With Data Science

We have programs and services providing the tools and training needed to help you with your data.

Photo of four colleagues in a meeting sharing computer screens with graphs and charts.

Collaborate on Research

The Data Science Institute provides initial support to University of Arizona research projects by funding part-time graduate students, postdoctoral fellows, technical staff, and computational infrastructure – all working to start new collaborations or broaden existing collaborations. Preference will be given to projects that have received favorable ranking but have not received funding.

Hand holding a globe composed of tiny images of faces on computer screens

Engage with the DS Community

The Data Science Institute offers a multitude of ways to be involved with the data science community at large. Opportunities include several formal training programs, numerous campus events, informal networking and/or being a student researcher gaining real-world experience on one of our many research projects.

Use CyVerse at U of A

U of A students, faculty, and staff have free access to CyVerse, the world-class computational platform for open science thanks to the Technology and Research Initiative Fund (TRIF) with the State of Arizona. As part of the Data Science Institute's goals, CyVerse helps support research, fosters collaboration, promotes data science training, and helps to solve data-driven challenges.

U of A DataLab

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