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

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!