Comparative judgement (CJ) is often said to be more suitable for judging exam questions inviting extended responses, as it is easier for judges to make holistic judgements on a small number of large, extended tasks than...
This document presents a number of user scenarios and use cases developed to support the wider community’s use of palaeoclimate simulation and historical data, including the arts and humanities and the sciences. The...
This review was written for the Patients Participate! Project. The Patients Participate! Project is a 7-‐month feasibility study to investigate bridging the gap between information access and understanding. Specifically, the...
This paper describes an investigation of user-centred design methodologies intended to apply tometadata or information architecture evaluation and deployment. The primary focus of this workis investigation of user conceptual...
This paper describes an investigation of user-centred design methodologies intended to apply tometadata or information architecture evaluation and deployment. The primary focus of this workis investigation of user conceptual...
This review was written for the Patients Participate! Project. The Patients Participate! Project is a 7-‐month feasibility study to investigate bridging the gap between information access and understanding. Specifically, the...
This document presents a number of user scenarios and use cases developed to support the wider community’s use of palaeoclimate simulation and historical data, including the arts and humanities and the sciences. The...
When completing a comparative judgment (CJ) exercise, judges are asked to make holistic decisions about the quality of the work they are comparing. A key consideration is the validity of expert judgements. This article...
Identifying structure in collections of sequence data sets remains a common problem in genomics. hierBAPS, a popular algorithm for identifying population structure in haploid genomes, has previously only been available as a...
We present fastbaps, a fast solution to the genetic clustering problem. Fastbaps rapidly identifies an approximate fit to a Dirichlet process mixture model (DPM) for clustering multilocus genotype data. Our efficient model-based...
A binary contingency table is an m × n array of binary entries with row sums r = (r1,..., rm) and column sums c = (c1,..., cn). The configuration model generates a contingency table by considering ri tokens of type 1 for each...
A binary contingency table is an m × n array of binary entries with row sums r = (r1,..., rm) and column sums c = (c1,..., cn). The configuration model generates a contingency table by considering ri tokens of type 1 for each...