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Topic outline

  • Announcements

    Dear participants,
    welcome to the Machine Learning and Biostatistics Hackathon 2020. The hackathon is organized by Dr. Fotis Psomopoulos (CERTH and ELIXIR Greece).

  • Communication block

  • Agenda

    The first part of a two-day ELIXIR hackathon on Machine Learning and BioStatistics will take place on Monday, October 12, 9:00 to 17:00 CEST. Due to the COVID-19 pandemics the event will be held completely online. The second part of the hackathon will take place in mid-November 2020.

    The first part of the hackathon (12/10/2020) will be focused on drafting a framework for practical training materials, including defining training goals, expected outcomes, and participants’ profile. The second part (mid-November) will have the purpose of finalizing the materials and designing exercises for hands-on training.

    Materials authored during the hackathon will be publicly available through GitHub, under a CC-BY license, to be reused both within and outside ELIXIR.

    For any questions and/or clarifications, please reach out to the main organizer of the hackathon Fotis Psomopoulos (INAB|CERTH, ELIXIR Greece) –

    Hackathon leads - in alphabetical order

    1. Shakuntala Baichoo (University of Mauritius, H3ABioNet)
    2. Alexandros Dimopoulos (Institute for Fundamental Biomedical Science, BSRC Al. Fleming / ELIXIR - GR)
    3. Wandrille Duchemin
    4. Thuong Van Du Tran
    5. Pedro L. Fernandes
    6. Alireza Khanteymoori
    7. Anmol Kiran (Malawi-Liverpool-Wellcome Trust, H3ABionet)
    8. Claudio Mirabello (Linköping University, NBIS)
    9. Fotis Psomopoulos (Institute of Applied Biosciences, Centre for Research and Technology Hellas / ELIXIR-GR)
    10. Bengt Sennblad (Uppsala University, NBIS)

  • Lesson templates

  • Curriculum Development

    Reverse Instructional Design

    • based on research summarised in The Carpentries Instructor Training
    • determine target audience
    • determine practical skill(s) they need to learn
    • create concept maps to guide curriculum design
    • design exercises to assess learner progress towards objectives*
    • write connecting material*

    * It's not expected to reach this point during day #1

    • Learner's Profiles

    • Learning Objectives and Outcomes