JOGL-OpenCovid-metastudy

Metastudy of the OpenCovid community organisation and response on JOGL

Goals:

• Describe and visualise the community

  • Analytics from the project 118 survey
  • Design simple questionnaires for the community to better understand the “user experience” towards impact.
  • Analytics from JOGL API (skills, projects) and Slack API (communications)
  • Skill map, communication network

• Understand community organisation

  • Network analyses of the evolution of the community:
    • formation of subgroups
    • emerging leadership (number of contributions?)
    • stabilisation of activity
    • linkers between channels (brokers)

• Help the community improve its efficiency

  • Design of dashboard for representing the analytics and monitoring the community
  • Design of recommendation systems to help-
  • Target needs to resource (i.e. notify people with the right skill set for a given need)
  • Onboarding of newcomers: find “godparents” with similar skills than newcomers who have been active in the community already and can help the onboarding process

Needs:

• Questionnaire design: UX designers, social scientists
• Digital data extraction: Slack and JOGL API
• Dashboard: bokeh / react / Rshiny dev
• recommendation system: Algolia expert → if you know someone with these skills, spread the word!