In this issue of the journal, Prof. Jon Wakefield provides a contribution to the complex topic of screening genetic associations. My comments here are intended to clarify some points and outline connections of his discussion to broader problems, describing how methods such as Wakefield’s can be appropriate in epidemiology beyond genetic research. I will also comment on a few aspects of his pres...

This special issue is dedicated to examining the use of techniques from robust statistics in solving computer vision problems. It represents a milestone of recent progress within a subarea of our field that is nearly as old as the field itself, but has seen rapid growth over the past decade. Our Introduction considers the meaning of robustness in computer vision, summarizes the papers, and outl...

We investigate using topic prediction data, as a summary of document content, to compute measures of search result quality. Unlike existing quality measures such as query clarity that require the entire content of the top-ranked results, class-based statistics can be computed efficiently online, because class information is compact enough to precompute and store in the index. In an empirical st...

Crowdfunding research has grown exponentially since the first academic papers in field were published 2013. This interpretivist study attempts to explain why academics worldwide have chosen crowdfunding. As no explicit theories currently exist guide our research, we relied on schooling and management fashion theories. Based interviews with 30 crowdfunding scholars, develop a model which interpr...