• Waterhackweek 2020 | Water Data Science - Instructor registration form

    August 31 - September 04, 2020, University of Washington

  • This is the Waterhackweek tutorial leads and data scientist leads registration form. If you want to register as a participant, please fill out this form.

    Tutorial and data scientist leads are exempt from paying the $100 registration fee. 

    Waterhackweek 2020 is scheduled for August 31 - September 04 2020 at the University of Washington, Seattle. We ask you to fill out the form below to be considered to attend Waterhackweek *before May 15, 2020*. The participant deadline is May 31 and they will be notified by June 12.  The number of projects and participants will be limited by the number of instructors trained for leadership on virtual hackweek project teams (max team size = 7 people; including one data scientist and one facilitator).  

    Finally, by completing this form you agree for your data to be used for the purpose of  demographic comparisons with past and future eScience Hackweeks. We will not share your data beyond the organizers or use it for any other purpose and we commit to anonymizing the data within a month of participant selection. Please email us if you have any questions or concerns or would like to revoke your content. Additionally, you also agree to committing 8 hours or less every day for the 5 days of the hackathon.

    Instructors, as well as participants, will be expected to follow the Waterhackweek code of conduct which is intended to foster the welcoming, collaborative atmosphere of past workshops. Please read the code of conduct and then answer the question below. Code of Conduct: 

    https://waterhackweek.github.io/wiki/code_of_conduct.html  

    • Applicant Details 
    • What is your current position?*

    • What pronouns do you use ?*

    • What is your current geographic location?*

    • If you are a grad student, what is your program?

    • Are you associated with the University of Washington?
    • Are you interested in participating in Waterhackweek as a tutorial lead?

    • The data science lead is expected to assist the project teams and provide expertise in the data science tools and methods. The data scientist will join a group based on common interests.

      Details about project workflows and project management are provided here. 

      Contributions can include running an impromptu study group one afternoon, help providing your particular experiences within water and data science to a community-related project, or helping scoping out an outreach project.

      You can serve both as a data scientist lead and tutorial lead at Waterhackweek.

    • Are you interested in participating in Waterhackweek as a data scientist lead?

    • Please add your website, GitHub or other URL (OrcID, GitHub, HydroShare User Profile or other). The project team will be using publicly available data for Waterhackweek community visualization.

    • Area of water-related expertise 

    • We would like to include diverse backgrounds in terms of water data experience

    • What kind of data have you analyzed (check all relevant)?*

    • Have you participated in Waterhackweek before?
    • Interests in water data science 
    • What are your primary interests ?

    • Project interests 
    • Demographic Information (Optional) 
    • Waterhackweek is requesting this information in order to create a diverse cohort that would ideally reflect the demographics of earth’s population because we know to solve the complex water problems of the world, we need groups of people to come together that are representative of the global population.  As part of our selection process, applicants names are stripped from their demographic information and demographic data will only be reported in aggregate. Answers to any and all of these questions are optional. May we contact you for any followup studies on your experience as a Waterhackweek participant ?*
    • In terms of gender identity, do you consider yourself a minority with respect to the field of water data science?
    • What is your gender? (optional)

    • In terms of racial or ethnic identity, do you consider yourself a minority with respect to the field of water data science?
    • What best describes you? (select all that apply)

    • What languages do you speak?
    • Do you consider yourself a member of the Lesbian, Gay, Bisexual, Transgender, and/or Queer (LGBTQ) community?
    • Do you consider yourself a member of the Lesbian, Gay, Bisexual, Transgender, and/or Queer (LGBTQ) community?

    • *What is an Ally? 

    • Declarations 

    • Declaration

      I certify that, to the best of my belief, the information I have provided is complete and true.

       

    • Date*
       - -
      2 digit month, 2 digit day, 4 digit year
    • Should be Empty: