[Bigbang-dev] research questions of interest for standard-setting participation
Niels ten Oever
niels at article19.org
Tue Feb 6 17:01:04 CET 2018
Hi Nick,
This list of questions is great, I have a few additions:
On 02/01/2018 08:02 PM, Nick Doty wrote:
> I've asked around among a few standards folks about what they would be interested to learn about the demographics or patterns of participation that we might be able to understand from mailing lists. Here is a list of potential questions. I've framed these as IETF questions, but I think they could similarly apply to other standard-setting organizations (W3C, say), and maybe in some form to other online communities.
>
> * how many participants total in IETF work?
> * how "sticky" is participation?
> if people participate on a list, do they return? do they show up to f2f meetings?
> what's the attrition rate?
> what's the distribution of length of participation?
> * who has participated longest? across the most groups?
> is there a group of "elites" across working groups?
> how many participants are single-group?
> how many groups does the typical participant join?
- How does participation look like per affiliation?
- How did participation per affiliation and affiliate category develop
over time?
- How do certain topical words move between mailinglist, are there
central nodes for this?
- What is the relationship between mailinglist participation and RFC authors
- What are 'trending topics' for X period
Hope this helps, happy to jump on a call!
Best,
Niels
>
> As I believe I've mentioned to this group before, I've been looking into estimating gender in mailing list participation, including:
>
> * What is the gender distribution of participants in Internet and Web technical standard-setting?
> how does that distribution differ from the population at large? from employment at related firms?
> does that distribution change over time?
> are there sub-groups which have distinctly different distributions?
> * Does the gender distribution of conversation differ from the gender distribution of the participants?
>
> Do you have questions you'd like to add to this list? Would you be interested in trying to measure/answer one of these questions? Which are the easiest and which are the most difficult? What features would we need to add to BigBang to make them answerable?
>
> Let me know, I'd love to dive in deeper to some of these questions with collaborators.
>
> Cheers,
> Nick
>
>
>
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