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Determining and facilitating the clearest ways to visualize uncertainty around estimates, time series and curves

Determining and facilitating the clearest ways to visualize uncertainty around estimates, time series and curvesComputational and Holistic Social Science for Understanding Conflict

PI: Prof David Spiegelhalter (Winton Centre for Risk & Evidence Communication, Department of Pure Maths & Mathematical Statistics, University of Cambridge)

Co-I’s & Collaborators: Mike Pearson (Co-investigator: technical and data visualisation lead) and Dr Anne Marthe van der Bles (Co-investigator: psychology lead) (Winton Centre for Risk & Evidence Communication, Department of Pure Maths & Mathematical Statistics, University of Cambridge)

Project Overview: The team at the Winton Centre for Risk & Evidence Communication in Cambridge will be working with decision-makers in the civil service to determine the best ways for their needs to visualise uncertainty around estimates, time series and curves, and then producing software packages to help create these visualisations easily. Bringing together expertise in psychology, statistics, graphics and software engineering, this project will pilot a process which could then be extended to other end users. The aim is not only to help identify best practice in terms of visualisation for different audiences and types of data, but to then facilitate adoption of these forms of visualisation through producing additions for widely-used commercial visualisation software packages.

M2D Research Agenda

Open Consultation

Please respond with your comments to m2d@exeter.ac.uk

 

 

M2D Funding Applications Deadline

Call now closed

Next Expert Panel Meeting

Friday 14th September 2018

Get in contact

Emma Clarke m2d@exeter.ac.uk
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