Description

Title Peer review, selection by quality or lottery?
Abstract This fall, I had the honor of being the program chair for the annual conference on AI & Law, JURIX. This was an interesting experience, as it confronted me with having to accept or reject papers, based on often widely diverging reviews. It turns out JURIX is not special... almost simultaneously, the KDD organization presented statistics on their review procedure [1], and the NIPS conference actually ran two parallel review procedures (see Frank's recent email to the SemWeb list, thanks Frank!) This afternoon, I will briefly present some statistics from JURIX and highlight the conclusions from KDD and NIPS. Hopefully this will be some food for discussion... (and perhaps Stefan can say something about his experiences with EKAW?)

Other presentations by Rinke Hoekstra

DateTitle
30 March 2009 Representing Legal Knowledge on the Semantic Web
18 January 2010 BestPortal and BestMap: Lessons Learned in Lightweight Legal Information Serving
21 February 2011 COMMIT P23
05 September 2011 MetaLex Document Server
22 October 2012 A Slightly Different Web of Data
27 May 2013
11 November 2013
23 September 2013
31 March 2014
05 January 2015 Peer review, selection by quality or lottery?
02 November 2015 Throwaway Science
06 June 2016 An Ecosystem for Linked Humanities Data
23 January 2017