Skip to content
This repository has been archived by the owner on Jul 5, 2023. It is now read-only.

Organising Events

Claudia Vitolo edited this page Nov 2, 2016 · 7 revisions

Launch Event

Different ideas:

  • Kickoff/Meet & Greet: Present your vision/idea for the meetup, invite others to help organise.
  • Lightning talks: Short talks of 5 minutes on a range of topics. This format usually also has a low barrier to participate.
  • Survey: Some chapters have set up an online questionnaire before their first meeting to find out what people were looking for in the meetup. Here are examples from Paris and Madrid.
  • Making your group/event known: you can reach out to some other meetups in the area which might have overlapping audiences (e.g., data science meetup and R user groups) and universities (e.g., statistics departments).
  • Finding co-organisers: Some chapters have found their organising team at the launch event, others have included a question on who would be interested in organising in the initial survey.

(Further) Events

  • Deciding on desired/feasible frequency of events (once a month, once every few months?)
  • Appropriate event formats depending on profile of the local community. More academic, more industry? Talks, tutorials, lightning talks, drop-in sessions, socials? Working through online courses together?
  • How to find venues to host meetups (for free!)
  • How to find speakers
  • Hot to find material: online courses, material developed by other R-Ladies (should in future go on the GitHub organisation)
  • How to find sponsors for refreshments
  • Event registration, management and data collection
    • How to use Eventbrite to manage meetup attendance & data collection (or any equivalent local available platforms) - meetup is quite limited for managing events
    • Set up Google Analytics on your meetup to collect data
    • How to create R-Ladies Database
  • Advertising, Publicity and Event Discovery: Twitter, LinkedIn, Eventbrite etc. (i.e., popular marketing channels and platforms in your area); Database (once developed!)