We suggest the following topics for the roundtable discussion. We will compile the answers and make them available here as well.
  • discipline relations: split work, or everyone a generalist?
  • validation: only validate existing theories or propose new ones?
  • reproducibility: what if data is private/proprietary?
  • ethics: what questions should we ask (over/underexposure)?
  • bias prevention: data collection, experimental setup, models?
  • bias influence: effect of inherent data bias (gender/language)?

Please also remember the questionnaire