{"id":5,"date":"2025-10-31T18:11:54","date_gmt":"2025-10-31T18:11:54","guid":{"rendered":"https:\/\/www.research.colostate.edu\/dsri\/?page_id=5"},"modified":"2026-03-27T17:52:51","modified_gmt":"2026-03-27T17:52:51","slug":"data-science-research-institute","status":"publish","type":"page","link":"https:\/\/www.research.colostate.edu\/dsri\/","title":{"rendered":"Data Science Research Institute"},"content":{"rendered":"\n
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Get involved with DSRI<\/h2>\n\n\n\n
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Join affiliate Program<\/a><\/div>\n\n\n\n
Past DSRI Affiliate Meeting Info<\/a><\/div>\n\n\n\n
DSRI Youtube with HPC Tutorials<\/a><\/div>\n\n\n\n
DSRI HPC & AI symposium special event<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

Data Science has emerged from the worldwide and ongoing collection of massive data sets and attempts to discover knowledge from them. There is a strong national need to develop new theories and tools to solve current and emerging research challenges related to complex data sets.<\/p>\n\n\n\n

As characterized by the National Academy of Sciences, Data Science is distinguished from related disciplines in that …data science spans a broader array of activities that involve applying principles for data collection, storage, integration, analysis, inference, communication, and ethics. Indeed, Data Science applies principles from a wide range of disciplines, including:<\/p>\n\n\n\n

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  • principled data collection by a domain expert<\/li>\n\n\n\n
  • storage, data sharing, and archiving<\/li>\n\n\n\n
  • integration algorithms developed in mathematics, statistics, and computing<\/li>\n\n\n\n
  • collaborative quantitative analysis<\/li>\n\n\n\n
  • statistical inference and predictive modeling<\/li>\n\n\n\n
  • communications and ethics<\/li>\n\n\n\n
  • solution to a human-centered challenge<\/li>\n<\/ul>\n\n\n\n

    Challenges:<\/strong> As a combination of these ingredients, the field of Data Science ceases to be a traditional discipline.<\/p>\n\n\n\n

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    Vision<\/h2>\n\n\n\n

    To aid society through the discovery of knowledge from data.<\/strong><\/p>\n<\/div>\n\n\n\n

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    Mission<\/h2>\n\n\n\n

    To support and enhance the Data Science research environment and facilitate faculty collaborations that stimulate the development of new analytical tools and applications.<\/strong><\/p>\n<\/div>\n\n\n\n

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    Goals<\/h2>\n\n\n\n

    To harness multidisciplinary expertise across campus, build research teams, and cultivate the discipline of data discovery.<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n\t\t\t

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    • \n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t<\/li>\n\n\t\t\t\t\t\n\t\t\t\t\t\t
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    • \n\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t<\/li>\n\n\t\t\t\t\t\n\t\t\t\t<\/ul>\n\t\t\t<\/div>\n\n\t\t\t