The Library
Information visualisation for science and policy : engaging users and avoiding bias
Tools
McInerny, Greg J., Chen, Min, Freeman, Robin, Gavaghan, David, Meyer, Miriah, Rowland, Francis, Spiegelhalter, David J., Stefaner, Moritz, Tessarolo, Geizi and Hortal, Joaquin (2014) Information visualisation for science and policy : engaging users and avoiding bias. Trends in Ecology & Evolution, 29 (3). pp. 148-157. doi:10.1016/j.tree.2014.01.003 ISSN 0169-5347.
|
PDF
WRAP-information-visulization-science-policy-engaging-McInerny-2014.pdf - Accepted Version - Requires a PDF viewer. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (1402Kb) | Preview |
Official URL: http://dx.doi.org/10.1016/j.tree.2014.01.003
Abstract
Visualisations and graphics are fundamental to studying complex subject matter. However, beyond acknowledging this value, scientists and science-policy programmes rarely consider how visualisations can enable discovery, create engaging and robust reporting, or support online resources. Producing accessible and unbiased visualisations from complicated, uncertain data requires expertise and knowledge from science, policy, computing, and design. However, visualisation is rarely found in our scientific training, organisations, or collaborations. As new policy programmes develop [e.g., the Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES)], we need information visualisation to permeate increasingly both the work of scientists and science policy. The alternative is increased potential for missed discoveries, miscommunications, and, at worst, creating a bias towards the research that is easiest to display.
Item Type: | Journal Article | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Subjects: | Q Science > Q Science (General) | |||||||||
Divisions: | Faculty of Social Sciences > Centre for Interdisciplinary Methodologies | |||||||||
Library of Congress Subject Headings (LCSH): | Communication in science, Information visualization, Graphic methods | |||||||||
Journal or Publication Title: | Trends in Ecology & Evolution | |||||||||
Publisher: | Elsevier | |||||||||
ISSN: | 0169-5347 | |||||||||
Official Date: | 21 February 2014 | |||||||||
Dates: |
|
|||||||||
Volume: | 29 | |||||||||
Number: | 3 | |||||||||
Page Range: | pp. 148-157 | |||||||||
DOI: | 10.1016/j.tree.2014.01.003 | |||||||||
Status: | Peer Reviewed | |||||||||
Publication Status: | Published | |||||||||
Access rights to Published version: | Restricted or Subscription Access | |||||||||
Date of first compliant deposit: | 22 May 2019 | |||||||||
Date of first compliant Open Access: | 23 May 2019 | |||||||||
RIOXX Funder/Project Grant: |
|
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year