Tasks for seedcorn planning

[NatalieZelenka]

To-do

• [x] Meet with Patty/Lily/Chiara (depending on who's organising) to decide how Data Hazards will feature in the seedcorn
  • what format they'd like to do it (e.g. self-assessed by applicants web form)
  • when that needs doing by
• ~~Design a survey for applicants to go out in the acception/rejection emails asking for their thoughts on the Data Hazards ethics part of the process. Presumably this will require us to update our ethics application.~~
• [x] Write the form
  • [x] Ask successful applicants if they'd be willing to complete the Data Hazards process (tickbox)
  • [x] decide: asynchronous process OR workshop (decided: asynchronous )
• [x] Add page to the website, explaining the seed corn trial
  • [x] Add Contents:
    • The purpose of applying data hazards
    • Which types of projects are relevant to apply hazards to
    • What the process will look like for them
      • Only inviting successful projects this time
    • Links to more context about the project
    • To contact me if they have any questions
    • The purpose of this trial
      • So, far, researchers have found the process to be useful, and we think it will be for you, too.
      • They'll have an opportunity to feedback
      • It won't affect their application if they choose not to take part
  • [ ] Update link from the timeline to the new materials
  • [ ] Get Lily to mirror the page on the JGI website as that will be a more official link for the applicants
• [ ] Design the asynchronous materials #77
• [ ] Write email text for successful/unsuccessful applicants
• [ ] Update survey for asynchronous materials
• [ ] Update Eng faculty ethics materials for asynchronous/seed corn process

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Form materials

Conditions for funding

We strongly encourage all participants to consider the ethical and societal implications of their work. Successful projects will have the opportunity to take part in a short, guided Data Hazards self-assessment for ethics in data science to assist with this. You can read about the Data Hazards project here.

Application form

If successful, would you take part in a Data Hazards guided ethics self-assessment exercise? This is relevant to any project that involves statistics, AI, ML, algorithms, or data collection. YES / NO