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Programme

21 September, University of Leeds, Multimode Room: Mechanical Engineering LT B (2.37)


Morning Session: Train the Trainer, Student Employability, DS for no-STEM Disciplines
Chairs: Luisa Cutillo, Ayesha Dunk


  • 9 - Registration and networking
  • 9.20 - Welcome and Overview - Luisa Cutillo, UoL & Ayesha Dunk, The Alan Turing Institute [Slides]
  • 9.30 - Taming Pandas and Tidy Parsnips: Teaching foundational data skills as part of an innovation curriculum - Graham Cole, New Castle University [Slides]
  • 10.00 - Data Science skills: An employer’s perspective - Peter Laflin, Morrisons Supermarkets
  • 10.30 - Machine Learning Challenges in Industry - Mike Croucher, MathWorks
  • 11.00 - Coffee Break/ Virtual Coffee with Ayesha Dunk
  • 11.30 - Learning about AI: Critical View through the Lenses of the Council of Europe's Values (Human Rights, Democracy, and Rule of Law) - Vania Dimitrova, University of Leeds
  • 11.45 - James Morgan, ASDA supermarkets
  • 12.00 - Data and Humanities: love it or loathe it? - Petar Milin, Birmingham University [Slides]
  • 12.30 - Morning Panel Q&A
  • 13.00 - Lunch Break

Afternoon Session: DS Study Group and Group work
Chair: Richard Plant


  • 14.15 - Turing Data Study Groups - Collaborative Knowledge Transfer Richard Plant, Data Study Groups, The Alan Turing Institute [Slides]

DS&AI Education Local Interest Group -  lightning talks 14.30-15.30

  • 14.30 - Education and Training at Leeds Institute for Data Analytics - Paul Baxter, University of Leeds
  • 14.45 - Teaching our online MSc in Artificial Intelligence at the University of Leeds - Eric Atwell, University of Leeds
  • 15.00 - Developing Digital Skills in the Undergraduate Biology Curriculum - Matt Bawn, University of Leeds
  • 15.15 - Curriculum Redefined, Data Science Education and Day 1 student skills - Martin Callaghan, University of Leeds
  • 15.30 - Coffee Break/ Virtual Coffee with Luisa Cutillo
  • 16.00 - Group work on assigned challenges with facilitators
  • 16.50 - Wrap up and Closure