[Events] Thoughts about evaluation metrics for open source comes to campus

[Aisha Halim]

You could maybe have the best of both -- have the option of providing
a github account url. Already interested registrants could volunteer
that information, or even by looking into it, and by being excited by
its social coding aspect, to create one. Using it as a hard filter is
pretty rough, but it could be a really interesting metric for planning
future events.

-Aisha


On Thu, Oct 11, 2012 at 3:11 PM, Karen Rustad <karen.rustad at gmail.com> wrote:
> There's something perverse about having to hamstring your impact (by turning
> away interested attendees) for the sake of Science.
>
> Especially given that I'm pretty sure none of our campus events other than
> UPenn reached capacity. (The Python workshops are a different story, of
> course.)
>
> -- Karen
>
>
> On Thu, Oct 11, 2012 at 12:59 PM, Asheesh Laroia <asheesh at asheesh.org>
> wrote:
>>
>> Hey all eventers,
>>
>> I had a conversation with Benjamin "Mako" Hill earlier today about how we
>> can more solidly answer the question, "Can we measure the positive impact
>> that campus.openhatch.org events have on participation?"
>>
>> Summary:
>>
>> * Find ways to add behavioral metrics, such as looking at people's Github
>> account activity.
>>
>> * He very much likes comparative measures, if we can cause people to
>> randomly select into pools where they do and don't get to come to our
>> workshops.
>>
>> Full log:
>>
>> (This is a conversation log as extracted from paper notes + memory.)
>>
>> Mako doesn't like surveys all that much.
>>
>> He does like behavioral measures a lot -- if you can passively look at
>> people's activity, without them having to report it, you can be more sure
>> about what you're looking at.
>>
>> He asks me, "People who come to these workshops -- they don't have
>> accounts on [sites like Github] yet, right?" I answer that they don't
>> generally have accounts on sites like Github.
>>
>> One thing we could measure is account activity for people on sites like
>> Github. Taken as an aggregate, and measured over time, you'll see a spike
>> right at the workshop, and then some decay curve. Do the people who attend
>> the workshop
>>
>> It would be nice to be able to measure the impact on attendees vs.
>> non-attendees by randomly sorting people into "Yes, come" and "No, don't
>> come" based on factors *other* than enthusiasm. There are a couple of ways
>> to do that:
>>
>> 1. Ask people to create an account on e.g. Github during signup. During
>> event signup, if the event gets full, we can track both the people who could
>> make it and the people who looked great (by e.g. enthusiasm) but who we had
>> to turn down due to capping the size.
>>
>> 2. Similar to above -- tell people on signup, "If you can't make it to our
>> event, please sign up for a Github account and fill out this other form" and
>> use that to track people. Compare people who could make it with those who
>> couldn't.
>>
>> One thing we're planning on doing in the long run is asking, within a
>> computer club that hosted us, via survey, how active people are. We were
>> planning on waiting ~6 months after the actual event, which strikes Mako as
>> a good idea because it smooths out certain kinds of bias if you ask people
>> shortly after an event.
>>
>> Mako points out that even though he doesn't like survey data very much,
>> it's definitely possible to use behavioral data to support the validity of
>> survey data. We could end up being able to make claims like, "Based on
>> observables, there's no significant difference between people who answer the
>> survey, and those that do," which obviously would be a great thing to know.
>>
>> -- Asheesh.
>> _______________________________________________
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>> Events at lists.openhatch.org
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>
>
>
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