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# System prepended metadata

title: Developing selection criteria for Turing RSE/RSD courses

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# Developing selection criteria for Turing RSE/RSD courses

- Clear and fair criteria 
    - Aims and objectives (feedback learning aims to community)
    - Signpost opportunities to learn about Turing REG roles as opposed to training course
- Lottery 50% 
- Enable enrichment students
    - maybe reserve some places? 50% for Turing people
    - put other 50% back in pool for lottery
    - open registration earlier?
- Worth capping number of applicants?
    - not a good idea in this case
- Questions to ensure engagement
    - Initial multiple choice questions/eligibility
    - Collaboration examples
    - Why are people not engaging?
- Initial filtering
    - maybe a programming test? is this an additional barrier
- Cannot select on protected characteristics:
    - age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, and sexual orientation
    - might be legal to consider positive action for disability (unlikely we have this information)
    - can possibly use location (want national reach)
        - decide with Skills Working Group
    - can use discipline