Imperial College London

ProfessorSpencerSherwin

Faculty of EngineeringDepartment of Aeronautics

Professor of Computational Fluid Mechanics
 
 
 
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Contact

 

+44 (0)20 7594 5052s.sherwin Website

 
 
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Location

 

313BCity and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Calder:2018:10.1098/rsos.172096,
author = {Calder, M and Craig, C and Culley, D and de, Cani R and Donnelly, CA and Douglas, R and Edmonds, B and Gascoigne, J and Gilbert, N and Hargrove, C and Hinds, D and Lane, DC and Mitchell, D and Pavey, G and Robertson, D and Rosewell, B and Sherwin, S and Walport, M and Wilson, A},
doi = {10.1098/rsos.172096},
journal = {Royal Society Open Science},
title = {Computational modelling for decision-making: where, why, what, who and how},
url = {http://dx.doi.org/10.1098/rsos.172096},
volume = {5},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - In order to deal with an increasingly complex world, we need ever more sophisticated computational models that can help us make decisions wisely and understand the potential consequences of choices. But creating a model requires far more than just raw data and technical skills: it requires a close collaboration between model commissioners, developers, users and reviewers. Good modelling requires its users and commissioners to understand more about the whole process, including the different kinds of purpose a model can have and the different technical bases. This paper offers a guide to the process of commissioning, developing and deploying models across a wide range of domains from public policy to science and engineering. It provides two checklists to help potential modellers, commissioners and users ensure they have considered the most significant factors that will determine success. We conclude there is a need to reinforce modelling as a discipline, so that misconstruction is less likely; to increase understanding of modelling in all domains, so that the misuse of models is reduced; and to bring commissioners closer to modelling, so that the results are more useful.
AU - Calder,M
AU - Craig,C
AU - Culley,D
AU - de,Cani R
AU - Donnelly,CA
AU - Douglas,R
AU - Edmonds,B
AU - Gascoigne,J
AU - Gilbert,N
AU - Hargrove,C
AU - Hinds,D
AU - Lane,DC
AU - Mitchell,D
AU - Pavey,G
AU - Robertson,D
AU - Rosewell,B
AU - Sherwin,S
AU - Walport,M
AU - Wilson,A
DO - 10.1098/rsos.172096
PY - 2018///
SN - 2054-5703
TI - Computational modelling for decision-making: where, why, what, who and how
T2 - Royal Society Open Science
UR - http://dx.doi.org/10.1098/rsos.172096
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000437210500023&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/61978
VL - 5
ER -