MeetingOfInterest:Meeting-325: Difference between revisions
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|MOI registration deadline=2018/11/26 | |MOI registration deadline=2018/11/26 | ||
|MOI contact email address=fwi@uw.edu | |MOI contact email address=fwi@uw.edu | ||
|Working group member=Hydrology Focus Research Group | |||
|MOI summary=Waterhackweek is a 5-day hack week to be held at the University of Washington in partnership with the University of Washington eScience Institute. Participants will learn about open source technologies used to analyze water-related datasets. Mornings will consist of interactive lectures, and afternoon sessions will involve facilitated exploration of datasets and hands-on software development. Successful applicants will pay a $100 registration fee and be expected to cover lodging, travel expenses and some meals. Financial support may be available based on need. | |MOI summary=Waterhackweek is a 5-day hack week to be held at the University of Washington in partnership with the University of Washington eScience Institute. Participants will learn about open source technologies used to analyze water-related datasets. Mornings will consist of interactive lectures, and afternoon sessions will involve facilitated exploration of datasets and hands-on software development. Successful applicants will pay a $100 registration fee and be expected to cover lodging, travel expenses and some meals. Financial support may be available based on need. | ||
|MOI_CSDMS_yes_no=No | |MOI_CSDMS_yes_no=No | ||
Latest revision as of 09:18, 4 March 2019
Water Hack Week 2019
University of Washington
Seattle Washington, United States
25 - 29 March 2019
Seattle Washington, United States
25 - 29 March 2019
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Deadlines
Abstract submission: The abstract submission deadline has passed Registration: Registration is now closed
Official website
Meeting contact
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Waterhackweek is a 5-day hack week to be held at the University of Washington in partnership with the University of Washington eScience Institute. Participants will learn about open source technologies used to analyze water-related datasets. Mornings will consist of interactive lectures, and afternoon sessions will involve facilitated exploration of datasets and hands-on software development. Successful applicants will pay a $100 registration fee and be expected to cover lodging, travel expenses and some meals. Financial support may be available based on need.
