The DNA of collaboration


Hi coTechers,
I’m always wondering about ways to increase collaboration and network the various networks that are working on building the regenerative economy…

I just published an idea about trying to model a formula for organisational collaboration on three simple rules: Cohesion, Seperation and Alignment - and defining a protocol to aggregate, visualise and disseminate the murmurations?

I’d be really interested in any feedback you might have about my idea of creating a protocol or publishing format which might help us experiment with the idea…

1 Like

Pretty interesting Oliver. Love the idea of tagging via RSS feeds. It feels like a more mindful and usable version of #Hashtags.


Thanks @DavidRandall,
Over on the Open App Ecosystem Loomio group

Thierry Marianne said
Could there be a git repository related to this DNA so that mutations could happen via forks and pull requests?

And I replied:

Hi @thierrymarianne - That sounds like an interesting idea… we’re you thinking the git repository would be for the “organisations collaborative DNA” i.e. each org submits their Purpose, Scope tags and RSS to a repository, or that the general idea could be on git somehow…?

I love the idea that it could be forked and evolve…

Mainly I’m wondering whether it would require Orgs to publish their “Collaborative DNA pages” in a specific way / format, or whether a clever spider would be able to pick up and pull out the Purpose, Scope tags and RSS feed if, for example, those titles were simply H tags, with the variables directly after them…?

I guess it would be easier to test the visualisation (murmurations) aspect if Orgs added the data to a centralized database (at least to start with) but I like the idea of it being completely distributed and that Orgs only need to add a very simple page to their own site. But then how would they make other related orgs aware they had done so…?


You could copy what have, the (randomly ordered) listing on their front page is pulled together from json files like this, see for example the Webarchitects librehost.json, the code to generate the listing is in this repo.


Certainly an interesting idea. I guess the problem is that as soon as you start dealing with humans the problem becomes complex rather than just complicated so it becomes hard to know what to do with the data.

Its the sort of thing machine learning is good at if you could come up with a ‘source of truth’ about groups or individuals that had and hadn’t collaborated effectively.