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Operate First Data Science Community Meetup 17 #118

Closed aakankshaduggal closed 1 year ago

aakankshaduggal commented 2 years ago

Title Operate First Data Science Community Meetup 17 - Future of the Operate First Data Science Community - Expanding the organizers of the meetup

Short Description One of the first public faces of the Operate First project was the early iterations of the Data Science Meetup, and it has grown to be a popular and recognizable aspect of this community. Along the way, it has had multiple hands in front of and behind the camera to curate the meetup space. The managing, organizing, and running of the meetups is a fairly well-understood process that can be run by one or two people, but should it be run by one or two people? By scaling it beyond just one pair of hands, a group of people who care about the meetup can help steward it into the future, without the meetup being dependent on one person's evolving job role.

Are you someone who cares about the Operate First Data Science Meetup? Can you lend some voice to the value this meetup has for you? Would you want to help make the meetup happen through a small time commitment and collaboration with a group of meetup organizers?

Let's have an open discussion with Community SIG co-chair Karsten Wade about how we can scale the meetup process so more of us can get the benefits of helping define and continue the Data Science Meetup. Karsten will give a brief overview of the Operate First project and how data science is central to the project's mission. He'll also talk about the value of connection points like meetups, and how and why you can participate in many ways to add to this meetup's success.

Presentation Day July 26th, 2022

Presenter(s) @quaid

Actionable Items (Following actions would be carried out by the Organizers of the Operate First Data Science Community Meetup)

aakankshaduggal commented 2 years ago

@quaid, you suggested we send out a survey. Are there some questions you have in mind?

We can use this space to finalize the survey and send it along with the update email with the video recording and slides. It will also give others(non-attendees) to watch the video and provide feedback.

sesheta commented 1 year ago

Issues go stale after 90d of inactivity. Mark the issue as fresh with /remove-lifecycle stale. Stale issues rot after an additional 30d of inactivity and eventually close.

If this issue is safe to close now please do so with /close.

/lifecycle stale

sesheta commented 1 year ago

Stale issues rot after 30d of inactivity. Mark the issue as fresh with /remove-lifecycle rotten. Rotten issues close after an additional 30d of inactivity.

If this issue is safe to close now please do so with /close.

/lifecycle rotten

sesheta commented 1 year ago

Rotten issues close after 30d of inactivity. Reopen the issue with /reopen. Mark the issue as fresh with /remove-lifecycle rotten.

/close

sesheta commented 1 year ago

@sesheta: Closing this issue.

In response to [this](https://github.com/operate-first/operate-first-data-science-community/issues/118#issuecomment-1369189081): >Rotten issues close after 30d of inactivity. >Reopen the issue with `/reopen`. >Mark the issue as fresh with `/remove-lifecycle rotten`. > >/close Instructions for interacting with me using PR comments are available [here](https://git.k8s.io/community/contributors/guide/pull-requests.md). If you have questions or suggestions related to my behavior, please file an issue against the [kubernetes/test-infra](https://github.com/kubernetes/test-infra/issues/new?title=Prow%20issue:) repository.