tag:blogger.com,1999:blog-3614581.post1820788041400071707..comments2024-03-28T03:11:22.839-07:00Comments on PHILANTHROPY 2173: Predictive analytics and philanthropyLucy Bernholzhttp://www.blogger.com/profile/09253941214286179394noreply@blogger.comBlogger2125tag:blogger.com,1999:blog-3614581.post-7375751725282879062012-11-08T09:15:36.856-08:002012-11-08T09:15:36.856-08:00Ian
Right on - publication bias would be a generou...Ian<br />Right on - publication bias would be a generous term for the current state of philanthropically funded research. But we're making progress, and the work is getting better. Efforts to use the information that exists - from across many sources - are what will, I believe, point out the quality issues. This can then begin the feedback loops, improvement, use and re-use that we need. It will be harder in the social sector and across foundations - there simply are not the regulatory, market, or outcome "ties" that provide more natural incentives for individual enterprises to improve their work. <br /><br />Lucy<br />Lucy Bernholzhttps://www.blogger.com/profile/09253941214286179394noreply@blogger.comtag:blogger.com,1999:blog-3614581.post-19329888653663426922012-11-08T09:02:53.409-08:002012-11-08T09:02:53.409-08:00Hi Lucy,
I'm intensely interested in this issu...Hi Lucy,<br />I'm intensely interested in this issue (especially as it relates to my field, the arts) and in fact am working on a lecture for the U. Chicago Cultural Policy Center next week on infrastructure-building in the research field. <br /><br />I'm curious if you've been following some of the conversations in the science field on meta-research and publication bias (summary here: http://createquity.com/2012/11/science-doesnt-have-all-the-answers-should-we-be-worried.html). GiveWell has proposed a new focus on <a href="http://blog.givewell.org/2012/06/11/meta-research/" rel="nofollow">"meta-research"</a> to start to address some of these problems, but I wonder if we might be too quick to embrace big data without thinking more critically about both the underlying quality and relevance of that data. As much as I heart Nate Silver (and I really do), it seems to me that he is working in a pretty well-defined context with clear feedback loops, something which is a relative luxury in the kinds of fields we're most interested in.Ian David Mosshttp://www.createquity.comnoreply@blogger.com