Slack might not be a good idea, but what about Zulip?
(https://auth.zulipchat.com/for/open-source/) They do seem to address
atleast some of the pain points.

On a side note, no-license on GitHub nowadays probably means not FOSS so
I guess unless you hear from the person we would have to re-implement it
and drop an acknowledgement.
On 7/24/19 12:23 AM, Dav Clark wrote:
> I just dropped this issue asking about license
> preference:??https://github.com/rochelleterman/FSUtext/issues/1
>
> What's the policy on Carpentries lessons borrowing from outside
> projects with various licenses or no license specified? Or, in a more
> limited scope: what's the plan for license for one or more NLP lessons?
>
> Best,
> D
>
> On Fri, Jul 19, 2019 at 2:27 PM Rochelle Terman <[email protected]
> <mailto:[email protected]>> wrote:
>
>     Hi all,
>
>     If anyone is interested, I put together a Software Carpentry-style
>     'text as data' workshop for Social Scientists. Latest version
>     here.?? <https://github.com/rochelleterman/FSUtext>??It uses R. Feel
>     free to adapt.
>
>     Cheers, Rochelle
>
>     On Fri, Jul 19, 2019 at 3:54 PM Dav Clark <[email protected]
>     <mailto:[email protected]>> wrote:
>
>         I am starting to think about my own text-oriented workshop for
>         social scientists that would use Gigantum to help support
>         beginners thinking more about big-picture aspects of data
>         projects. From there, we'd transition to explain how you could
>         do similar things "by hand" (e.g. using git??+ LFS directly).
>
>         Ziyaad did you ever create an NLP working group? In any case,
>         I'm happy to contribute to core carpentry-style materials (and
>         I can easily adapt them to my own purposes later). And of
>         course, if anyone wants to do stuff with Gigantum, I'm excited
>         to help with that! But my sense is that this community is
>         pretty committed to the command line ;)
>
>         In terms of concepts, I'm interested in things that will help
>         learners grok general ideas. So, understanding the
>         transformation of texts to a matrix of frequency counts,
>         perhaps some basics of what a matrix is, and what you can do
>         with linear systems, and perhaps also the idea of an abstract
>         "space" like word2vec.
>
>         And as far as tools, I'm happy to do R or Python (and use
>         RStudio or Jupyter). I see one vote for Spacy - so if that's a
>         way to get someone on-board that sounds good to me! I've not
>         done NLP for a few years, and spacy looks like magical python
>         easy (cf. XKCD <https://xkcd.com/353/>).
>
>         Best,
>         Dav
>
>         On Fri, Jul 19, 2019 at 9:11 AM <[email protected]
>         <mailto:[email protected]>> wrote:
>
>             Hi all,
>
>             just to let you know ... I'm planning to prepare a
>             carpentries style course on text mining... which is a type
>             of NLP (i.e. Natural Language Processing). :-)
>
>             Bea Alex (Edinburgh)
>
>
>
>     -- 
>     Rochelle Terman, Ph.D.
>     Provost Postdoctoral Fellow
>     Department of Political Science
>     University of Chicago
>
>     http://www.rochelleterman.com
>
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