Hey folks, This month we're holding a special edition of the Research and Data showcase <https://www.mediawiki.org/wiki/Analytics/Research_and_Data/Showcase>. We've invited Dr. Yan Chen, Professor from the UMuch iSchool to present her work studying community dynamics with Kiva (micro-lending platform) and what her results might imply for Wikimedia's sites. To take advantage of her travel schedule, we'll be holding the event on *Friday** November 14 at 11.30 PST (UTC-8) *rather than the usually 3rd Wednesday. The event will be live streamed and recorded as usual. You can join the conversation via IRC on freenode.net in the the #wikimedia-research channel. We look forward to seeing you there, -Aaron *Does Team Competition Increase Pro-Social Lending? Evidence from Online Microfinance.*By Yan Chen <http://yanchen.people.si.umich.edu/>In the first half of the talk, I will present our empirical analysis of the effects of team competition on pro-social lending activity on Kiva.org, the first microlending website to match lenders with entrepreneurs in developing countries. Using naturally occurring field data, we find that lenders who join teams contribute 1.2 more loans per month than those who do not. Furthermore, teams differ in activity levels. To investigate this heterogeneity, we run a field experiment by posting forum messages. Compared to the control, we find that lenders from inactive teams make significantly more loans when exposed to a goal-setting message and that team coordination increases the magnitude of this effect.In the second part of the talk, I will discuss a randomized field experiment we did in May 2014, when we recommend teams to lenders on Kiva. We find that lenders are more likely to join teams in their local area. However, after joining teams, those who join popular teams (on the leaderboard) are more active in lending.