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Data Visualisation for Public Engagement Damien George, Andrew Steele, Artemis Skarlatidou Chair: Martin Zaltz Austwick 1
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SCC 2014 - Data visualisation for public engagement

Jun 25, 2015

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Data Visualisation and Information Design are increasingly employed in print, broadcast and web media to convey complex ideas or bring simple ones to life. The tools for maps, infographics and visualisations are becoming cheaper and easier to use, and the range of approaches is diversifying. At the same time, data of all kinds is becoming more accessible, whether on research funding (through the Gateways to Research platform), Open Government Data, or the results of individual research projects – as Open Access initiatives to make sharing scientific data a key element of journal publications. We will cover basic ideas and examples of visualisation for newcomers, how visualisation exists as part of wider engagement goals and include a more critical discussion about what visualisation needs to do in order to be a meaningful mechanism for engagement and participation.

Speakers: Andrew Steele (Cancer Research UK), Artemis Skarlatidou (UCL), Damien George, (University of Cambridge), Martin Austwick (UCL)
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Page 1: SCC 2014 - Data visualisation for public engagement

Data Visualisation for Public Engagement

Damien George, Andrew Steele, Artemis Skarlatidou

Chair: Martin Zaltz Austwick 1

Page 2: SCC 2014 - Data visualisation for public engagement

Data Visualisation for Public Engagement

Martin Zaltz Austwick, Course Director

MRes Advanced Spatial Analysis and Visualisation

CASA, Bartlett Faculty of the Built Environment, UCL 2

Page 3: SCC 2014 - Data visualisation for public engagement

Damien GeorgeCavendish Laboratory, Cambridge

paperscape.orgthecmb.org

3

Page 4: SCC 2014 - Data visualisation for public engagement

The ScienceogramMaking sense of science spending

scienceogram.org@scienceogram

Andrew Steele

Page 5: SCC 2014 - Data visualisation for public engagement

social protection£3900

healthcare£1900

education£1000

defence£700

other£3500

research£160

£695bngovernment spend

£11,000per person

63mpopulation

=

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causesof death

research spendper person per year

cancer

30%

£4.30

stroke

10%heart disease

15%

28p £1.30

Page 7: SCC 2014 - Data visualisation for public engagement
Page 8: SCC 2014 - Data visualisation for public engagement

Nuclear fusion

• Hasn’t that been 30 years away for the last 30 years?

• Hasn’t that been 50 years away for the last 50 years?

• Hasn’t that been 30 years away for the last 50 years?

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£60bndevelop fusion

1.1bnpopulation ofhigh-income

countries

£50per person

=

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Blue-skies research

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fusion (projected)£60,000,000,000

iPhone revenue£123,000,000,000

iPhone profit£65,000,000,000

LHC£2,600,000,000

Crossrail£14,800,000,000

Page 12: SCC 2014 - Data visualisation for public engagement

fusion (projected)£60,000,000,000

iPhone revenue£123,000,000,000

iPhone profit£65,000,000,000

LHC£2,600,000,000

Crossrail£14,800,000,000

Page 13: SCC 2014 - Data visualisation for public engagement

energy£10

cancer£5

heart disease£1

stroke28p

alcohol

loo roll£17

weddings£160

£600

Page 14: SCC 2014 - Data visualisation for public engagement

Put data in context Meaningful figures Meaningful categories Meaningful comparisons

scienceogram.org@scienceogram

Page 15: SCC 2014 - Data visualisation for public engagement

The ScienceogramMaking sense of science spending

scienceogram.org@scienceogram

Andrew Steeleandrewsteele.co.uk@statto

Tom Fuller

Page 16: SCC 2014 - Data visualisation for public engagement

trust

User Issues: spatial visualisations for public engagement

Dr Artemis SkarlatidouExtreme Citizen Science Group

www.ucl.ac.uk/[email protected]

Science Communication | Data Visualisation | 1 May 2014

Page 17: SCC 2014 - Data visualisation for public engagement

Public Engagement and Spatial Visualisations

• “Almost everything that happens, happens somewhere…” (Longley, 2005)• From cave drawings of spatial representations to online maps that are

used by almost everyone (with internet access) and everywhere..!• Human spatial ability?

– People trust (i.e. rely on) maps more than their spatial cognition and ability to navigate and

– People trust maps more than other types of data visualisation despite the fact that all maps lie (Monmonier, 1996)

• PPGIS studies claim that “cultivate a stronger sense of commitment, increase user satisfaction, create realistic expectations of outcomes and build trust” (Al-Kodmany, 1999); allow for integration of indigenous knowledge with expert data (Dunn, 2007)...

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Engaging the public using maps (provision of information)

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Engaging the public using maps (contribution and analysis of information)

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Engaging the public using maps (analysing information – make and submit decision)

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But what about the users?

• Is it easy to use?• Is it trustworthy?• Is it useful?• Do people understand it? Do they like it?• ….does it meet its purpose?• Other user issues such as: Public familiarity and

expertise in spatial data handling and analysis etc?

Page 22: SCC 2014 - Data visualisation for public engagement

• Public engagement to:– improve transparency and build trust– understand the problem and resolve NIMBY-type conflicts and

potentially find a solution – very limited public knowledge of nuclear & nuclear waste

disposal issues… improve public understanding

The Nuclear Waste Disposal example

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Page 24: SCC 2014 - Data visualisation for public engagement

[Improving public understanding]• Content – Risk Communication & Mental Models and HCI

testing

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Improving Trust / Helping people develop rational trust perceptions

• Trust Design – Trustee attributes – Functional attributes (e.g. usability, aesthetics)– Perceptual attributes (e.g. reputation of the source) – trust cues (e.g. logos, pictures, videos, blogs)

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[Trust Guidelines - 5 design dimensions]

User Interface

Map/ Spatial Visualisation component

Graphic Structure Content Functionality

Menu should match popular menu visualisations.

Distinct colours should be used or shades of blue if this not possible.

Map larger than 388x589 pix.

Trust Cues

Provide a map tutorial below the map

Visible logos from all pages

Provide a blog

….

Skarlatidou, A., Cheng, T. and Haklay, M.(2013) Guidelines for Trust Interface Design for Public Engagement Web GIS, International Journal of GIScience, 257,8, pp. 1668-1687.

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colours

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colours

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legend

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map size

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Page 32: SCC 2014 - Data visualisation for public engagement

Different structure similar toHealth Physics Society onRadioactive Waste DisposalWebsite

structure

Mental models structure

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Testing and extending the guidelines on other contexts

• communicating clearly data generalisation issues• Perceived usefulness … ? ?

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Aesthetics

This is a Van Gogh!

…and this is a Matisse!!!

Fabrikant et al. (2012) Emotional response to map design aesthetics. In: GIScience 2012: Seventh International Conference on Geographic Information Science, Columbus, Ohio, 18 September 2012 - 21 September 2012.