Visualization & Science Communication

Visualization & Science Communication

If we perceive research as a process of communication. Translating the actual research into an information extraction or retrieval process which finds its end by synthesizing and concentrating those new bits of information into insights and knowledge. Knowledge that needs to be communicated to other scientists, decision or policy makers and the public, so that it can result in a call or need for action.

It sounds simple but it has a fundamental problem: the communication between those groups is difficult due to differences in their knowledge foundation, which creates a communication barrier within the communication process. Visualization is one tool to overcome this barrier and help communicate scientific insights to a broad audience.

Visualization itself is nothing new. Early popular examples can be found in the early/mid 19th century, for example the mapping of cholera infections in central London by John Snow in 1854, the mapping of Napoleons march towards Moscow by Minard in 1869 or the visualization of causes of mortality by Florence Nightingale in 1856. John Snows map is a good example for expert tools, which help scientists better understand their data by taking a new perspective on a problem. By mapping the Cholera infections on a map, John Snow was able to identify a well as the possible source for the outbreak. After sealing the well they were able to contain the contagion. And the example by Florence Nightingale illustrates the power of visualization as a tool to communicate complex data to non experts. Mrs. Nightingale was trying to improve hygiene in british military hospitals during the crimean war. She had a hard time convincing policy makers through spreadsheets and reports, so she created visualizations as a tool to communicate her insights.

Original map made by John Snow in 1854. Cholera cases are highlighted in black.

Map of Cholera cases in central London by John Snow, 1854.

Charles Minard's 1869 chart showing the number of men in Napoleon’s 1812 Russian campaign army, their movements, as well as the temperature they encountered on the return path. Lithograph, 62 x 30 cm

Napoleon’s  march towards Moscow by Minard, 1869.

Example of polar area diagram by w:Florence Nightingale (1820–1910).

Polar area diagram by Florence Nightingale, 1856.


The most important change from my point of view since then is the democratization of available tools and technologies. There are many applications available for free and some of them even under open source licenses:

Applications

General Visualization Tools

Many Eyes by IBM
Google Refine / Google Charts / Google Fusion Tables
R (powerful open source alternative to SPSS, ect.)
ColorBrewer (Research on color sets)
RAW
Tableau Public
Gephi
(Network Visualization)
Excel (Yes)

Map Tools

CartoDB
MapBox & TileMill
LeafletJS
PolyMaps
Kartograph

Web-Development

D3 (Probably the most powerful web-based toolkit right now)
RaphaelJS
PaperJS
jQuery (General JS Library)

The three tools mentioned above are only a small subset of the available tools. The people at Interactive Things have created a great repository of tools available:
http://selection.datavisualization.ch/

Visualization Archives

Visualizing.org
FlowingData.com (also good resource for R tutorials)

More interesting sites:

CodeAcademy (Learn how tow Code)
Code.org
Khan Academy
Data Journalism at Stanford
Processing (Beginner oriented Java based Development Environment)

Projects i mentioned:

GED VIZ
My World 2015 (UN)
OECD Better Life Index
Max Planck Research Network
News Map