Why better? Because these science talks were in a Pub.
This meant that not only was there beer, there was informal seating, a diverse group of people, and no well-defined expectations. In short: a great chance to shake up our normal discussions and thoughts. Kaitlin Thaney and Matt Wood have been throwing fantastic #sameAs science and tech get-togethers in London since the fall, each in a pub and with an original theme.
I was lucky enough to not only attend (something I’ve want to do from thousands of miles away every time the #sameAs sessions are touted in twitter) but speak at the most recent one on Reputation, along with my awesome peers Gudmundur (“Mummi”) Thorisson and Jason Priem. Mummi brought us all up to speed on ORCID, and Jason inspired and entertained –as he always does — on what academic publishing ought to look like now that we are out of the 17th century.
I took advantage of the atmosphere to actively contradict my usual patter about the importance of reputation incentives in encouraging data reuse. I argued that a scientist’s risk-adverse concern for reputation serves as mainly a disincentive for data sharing. Therefore, we should take reputation out of the equation through the equalizing force of data sharing mandates. Slides (though without narration). I do believe what I said, though I’m not sure it is a productive stance at the moment, so I doubt I’ll be saying it outside a pub anytime soon.
The question period across all the talks was the coolest part. Lots of questions, none of them shy, all of them interesting, lots of discussion with and among the audience. Then more networking and more beer.
Thanks, Kaitlin and Matt for throwing one of your parties when we were in town, it was a blast.
Seems like these #sameAs evenings are a great success in London and ought to be reproducible elsewhere…