Demo Data from EDBT 2026 / reviewers in the wild / expert
Richard Morris
dblp:12/1759
· DBLP profile ↗
4ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0001-7240-4563ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 3Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Ubiquitous computing and smart environments · 44% Design research and methods · 44% User interface design and tools · 13% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics
genome-wide association study |
0.3 | 1 | 2017 | HAPRAP: a haplotype-based iterative method for statistical fine mapping using GWAS summary statistics · Bioinform. 2017 |
Design research and methods
in-the-wild study |
0.1 | 1 | 2011 | Rethinking 'multi-user': an in-the-wild study of how groups approach a walk-up-and-use tabletop interface · CHI 2011 |
Ubiquitous computing and smart environments › public displays
public display deployment |
0.1 | 1 | 2011 | Rethinking 'multi-user': an in-the-wild study of how groups approach a walk-up-and-use tabletop interface · CHI 2011 |
Bioinformatics and computational biology › population genetics
linkage disequilibrium |
0.1 | 1 | 2017 | HAPRAP: a haplotype-based iterative method for statistical fine mapping using GWAS summary statistics · Bioinform. 2017 |
Bioinformatics and computational biology
statistical genetics |
0.1 | 1 | 2017 | HAPRAP: a haplotype-based iterative method for statistical fine mapping using GWAS summary statistics · Bioinform. 2017 |
Methods — techniques the papers use, named apart from their topics
haplotype information · 0.3empirical iterative method · 0.3interview study · 0.1in-the-wild study · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | HAPRAP: a haplotype-based iterative method for statistical fine mapping using GWAS summary statisticsabstractMOTIVATION: Fine mapping is a widely used approach for identifying the causal variant(s) at disease-associated loci. Standard methods (e.g. multiple regression) require individual level genotypes. Recent fine mapping methods using summary-level data require the pairwise correlation coefficients ([Formula: see text]) of the variants. However, haplotypes rather than pairwise [Formula: see text], are the true biological representation of linkage disequilibrium (LD) among multiple loci. In this article, we present an empirical iterative method, HAPlotype Regional Association analysis Program (HAPRAP), that enables fine mapping using summary statistics and haplotype information from an individual-level reference panel. RESULTS: Simulations with individual-level genotypes show that the results of HAPRAP and multiple regression are highly consistent. In simulation with summary-level data, we demonstrate that HAPRAP is less sensitive to poor LD estimates. In a parametric simulation using Genetic Investigation of ANthropometric Traits height data, HAPRAP performs well with a small training sample size (N < 2000) while other methods become suboptimal. Moreover, HAPRAP's performance is not affected substantially by single nucleotide polymorphisms (SNPs) with low minor allele frequencies. We applied the method to existing quantitative trait and binary outcome meta-analyses (human height, QTc interval and gallbladder disease); all previous reported association signals were replicated and two additional variants were independently associated with human height. Due to the growing availability of summary level data, the value of HAPRAP is likely to increase markedly for future analyses (e.g. functional prediction and identification of instruments for Mendelian randomization). AVAILABILITY AND IMPLEMENTATION: The HAPRAP package and documentation are available at http://apps.biocompute.org.uk/haprap/ CONTACT: : [email protected] or [email protected] information: Supplementary data are available at Bioinformatics online. Jie Zheng 0006, Santiago Rodríguez, Charles Laurin, Denis Baird, Lea Trela-Larsen, Mesut A. Erzurumluoglu, Jon White, Claudia Giambartolomei, Delilah Zabaneh, Richard Morris, Meena Kumari, Juan P. Casas, Aroon D. Hingorani, David M. Evans 0002, Tom R. Gaunt, Ian N. M. Day |
Bioinform. | 11 |
| 2012 | Characters as agents for the co-design processabstractThis paper describes a proposed new method for helping to understand the emotional requirements of children during the conceptual phase of designing an interface. The approach may be particularly useful where the feelings of the child are critical, but are difficult to investigate; for example when the issues are sensitive and may provoke emotional responses. Here we explore an approach that draws on the social agency that characters can provide to help the young user articulate their opinion. Children were asked to create fictitious cartoon 'personalities' that have desired attributes, personal qualities and behaviors that are relevant to a given scenario. Subsequently this influenced the conceptualization of a product under development for the context defined. The devices were being developed for final major projects across both the University of Brighton and the University of Sussex Product Design departments. Character design was found to be an engaging activity for the children, with a tangible outcome that can facilitate communication between the designer and pupil. It also provides a relatively sensitive method for getting information about the youngster's feelings through the dialogue that took place. This forms part of a larger study for a PhD thesis based on designing for children's emotional needs. Catherine Grundy, Lyn Pemberton, Richard Morris |
IDC | 3 |
| 2011 | Rethinking 'multi-user': an in-the-wild study of how groups approach a walk-up-and-use tabletop interfaceabstractMulti-touch tabletops have been much heralded as an innovative technology that can facilitate new ways of group working. However, there is little evidence of these materialising outside of research lab settings. We present the findings of a 5-week in-the-wild study examining how a shared planning application - designed to run on a walk-up-and-use tabletop - was used when placed in a tourist information centre. We describe how groups approached, congregated and interacted with it and the social interactions that took place - noting how they were quite different from research findings describing the ways groups work around a tabletop in lab settings. We discuss the implications of such situated group work for designing collaborative tabletop applications for use in public settings. Paul Marshall, Richard Morris, Yvonne Rogers, Stefan Kreitmayer, Matt Davies |
CHI | 2 |
| 2009 | Running up Blueberry Hill: prototyping whole body interaction in harmony spaceabstractMusical harmony is considered to be one of the most abstract and technically difficult parts of music. It is generally taught formally via abstract, domain-specific concepts, principles, rules and heuristics. By contrast, when harmony is represented using an existing interactive desktop tool, Harmony Space, a new, parsimonious, but equivalently expressive, unified level of description emerges. This focuses not on abstract concepts, but on concrete locations, objects, areas and trajectories. Simon Holland, Paul Marshall, Jon Bird, Nicholas Sheep Dalton, Richard Morris, Nadia Pantidi, Yvonne Rogers, Andy Clark |
TEI | 5 |