Cost Conference

 

Democratizing AI

  • Not widespread enough in many fields
  • Popular with funding agencies (?)
    • But dont really know what it is very well
  • Why not popular (AI driven materials)
    • Expectation management increase in transparency
    • Documentation
    • Upskilling, field develops too fast moving target
      • where do you want to enter : at the forefront, or somewhere in the middle
    • Education
      • Lectures and courses
        • Summer school
      • increasing awareness
        • Throw money at the problem
      • underrepresented research communities
      • community of learners
    • Role model effect
  • Long term issues
    • How long do we have to do this
    • People dont like to share data
    • User friendly tools
    • Data standards : quality check - croissant
    • Reference implementations
    • Metrics of success
      • Citations
      • How many datasets use standards
    • Industry outreach, sharing success stories
  • General
    • Data prominence

TDCC - NES

  • Thematic Digital Competence Centre (TDCC) for the Natural & Engineering Sciences (NES)
  • Joanne Yeomans - Network Manager
  • Fairness

SURF

  • Monica Rotulo - ML Advisor
  • HPC and ML consultancy
  • Theoretical vs Applied ML