dsincubator

Data science incubator: A space to learn and share best practices in data science.

Values and workflow

Here is how the values of this project guide the choice of tools and processes -- i.e. the workflow:

To maximize reach, it uses tools and platforms that are popular and accesible to data scientists and managers, e.g. GitHub, YouTube, and LinkedIn to share code, vidoes, and annoncements.
To minimize preparation and avoid duplication the presentations are mostly made directly from markdown files.
To maximize simplicity the topics are based on specific needs, but generalized to be relevant to a broad audience.
To maximize accessibility, async participation is made possible via recordings.
To maximize attention and participation, each meetup lasts no more than 1/2 hour including 10' for live discussion.
To maximize responsability, each series of meetups is led by a single person, but may deleate the responsability, and is encouraged to invite contributors.
To maximize simplicity, discoverability, and consistency, each series has all materials in a single, public repository based on a template.