Roadmap and plan update based on a recent meeting

[malvikasharan]

Summary

Meeting: Lydia, Malvika, Fede on 4 October 2021, follow-up of the kick off meeting

• suggestions were made to set a series of masterclass
• Curating 4-5 topics by running focus groups with group leaders and students
• How do we use computational materials in a lab environment
• Start with case studies - what makes it great (DMP)
• Producing JupyterBook and slide decks that are widely adoptable
• Translating lab protocols to computational reproducibility
• Start with a prototype, then engage with experts who would like to create masterclasses
• Potential examples can come from
  • Image analysis
  • Single cell data (sequencing)
  • Proteomics
  • Alphafold
  • Statistics/ML
  • Computational project management (KQ)
  • Collaborative research (setting collaboration)