3rd Workshop Integrating Qualitative and Quantitative Evidence (IQQE) using Social Simulation, 28&29 May 2020, Southampton

See https://www.southampton.ac.uk/business-school/news/events/2020/05/28-29-iqqe-workshop.page for details.

Registration deadline 24th Oct for Workshop on Integrating Qualitative and Quantitative Evidence Using Social Simulation @ Manchester

The deadline for (free) registration for the

Second Workshop on Integrating Qualitative and Quantitative Evidence Using Social Simulation, 21&22 November, in Manchester

is the 24th October.

To register go to http://shorturl.at/BHJQZ

For more details about the workshop see: http://cfpm.org/news/242/cfp-second-workshop-on-integrating-qualitative-and-quantitative-evidence-using-social-simulation

Two visualisations by Luz Molina

Both are dynamic - you can interact with them. Click on the pictures to try them.

The first #visualization shows the fish trade in US dollars between 2004 and 2015.

The second is a map that shows where the different fish species from the North Atlantic are caught.

Enjoy!

Sorry, our main website is down...

... for the moment we will redirect http://cfpm.org to here.  "Normal service will resumed as soon as possible". Meanwhile here is a picture of Ruth showing what she thinks of the situation.

 

New Paper in RS Open Science: "Computational modelling for decision-making: where, why, what, who and how"

Computational modelling for decision-making: where, why, what, who and how

by Muffy Calder, Claire Craig, Dave Culley, Richard de Cani, Christl A. Donnelly, Rowan Douglas, Bruce Edmonds, Jonathon Gascoigne, Nigel Gilbert, Caroline Hargrove, Derwen Hinds, David C. Lane, Dervilla Mitchell, Giles Pavey, David Robertson, Bridget Rosewell, Spencer Sherwin, Mark Walport, Alan Wilson

Published: 20 June 2018. DOI: 10.1098/rsos.172096 Royal Society Open Science

Abstract

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.

This is a summary of the UK Government's Blackett report: "Computational Modelling: Technological Futures"

Available at: http://rsos.royalsocietypublishing.org/content/5/6/172096 (Open Access)

Citation:

Muffy Calder, Claire Craig, Dave Culley, Richard de Cani, Christl A. Donnelly, Rowan Douglas, Bruce Edmonds, Jonathon Gascoigne, Nigel Gilbert, Caroline Hargrove, Derwen Hinds, David C. Lane, Dervilla Mitchell, Giles Pavey, David Robertson, Bridget Rosewell, Spencer Sherwin, Mark Walport, Alan Wilson (2018) Computational modelling for decision-making: where, why, what, who and how. Royal Society Open Science, 2018 5 172096; DOI: 10.1098/rsos.172096.