The Data Science and Analytics for Water (DSAW) project aims to develop (1) an advanced object data model that maps common water-related data types to performant data structures within the object-oriented Python language and analytical environment, and (2) new packages for the Python programming language that integrate these performant data structures with the powerful data science capabilities available in Python, as well as advanced data access, collaboration, and data archival capabilities of HydroShare. 

  • Objectives
    1. Ability to map common water-related data types to performant data structures within the object-oriented Python language and analytical environment. 
    2. Develop new packages for the Python programming language that integrate these performant data structures with the powerful data science capabilities available in Python. 
  • Contact/Get Involved

    Please contact Jeff Horsburgh (jeff.horsburgh@usu.edu) or Anthony Castronova (acastronova@cuahsi.org) if you would like to be involved or have any questions on the project. 

  • Collaborators
    • Jeff Horsburgh, Associate Professor, Utah State University 
    • Alfonzo Torres-Rua, Assistant Professor, Utah State University 
    • Brian Crookston, Assistant Professor, Utah State University 
    • Tianfang Xu, Assistant Professor, Arizona State University 
    • Tony Castronova, Hydrologic Scientist, Consortium of Universities for the Advancement of Hydrologic Sciences, Inc. 

Photo Credits: Michael Dziedzic on Unsplash