The One Utah Data Science Hub a university-wide effort designed to enhance research and infrastructure in data science and data-enabled science. Led by Faculty Directors from across the university, the Hub facilitates interdisciplinary research focused on data science through the launch of two new initiatives: the Data Science and Ethics of Technology (DATASET) Initiative and the Data Exploration and Learning for Precision Health Intelligence (DELPHI) Initiative, and in alignment with the Utah Center for Data Science (UCDS).

On this site you will find regularly updated and dynamic information about Seminars and Events, Data Resources, Funding Opportunities, and Education and Training Resources of the One Utah Data Science Hub. See our University Webpages for additional information.

One Utah Data Science HubData Science and Ethics of Technology (DATASET) Initiative WebpageData Exploration and Learning for Precision Health Intelligence (DELPHI) WebpageUtah Center for Data Science Webpage

Want to become part of the data science community at the University of Utah?

  • Join us by completing our roster survey!
  • To receive the latest information from DELPHI, including announcements, events, and curated funding opportunities, join the DELPHI listserv.
  • For casual conversation, discussion around research problems, and connecting with other UofU researchers, join the UofU Data Science Slack.
  • With any other thoughts, contact the One Utah Data Science Hub directly to start a conversation.

What is data science?

Data science can help researchers distill the vast amount of data through the integration of large, complex data sets with innovative computational approaches to generate actionable insights in health care, education, communities, the environment, and beyond.

The One Utah Data Science Hub

  • Mission: To empower innovation in data science to positively impact science and society.
  • Vision: The University of Utah will be the bridge of the digital divide and a leader in the ethical development of data driven technology, economy, and society.
  • Strategic Goals:
    • Build and maintain world-class data science compute and data infrastructure
    • Ensure equitable data and infrastructure access
    • Accelerate boundary-spanning collaborative research innovation and impact of regional importance
    • Strengthen practical education and knowledge transfer
    • Deepen integration with our community and local industry, including through training of a data workforce
    • Expand funding of and resources for data science

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