Brain Pickings

Posts Tagged ‘data visualization’

10 MAY, 2012

Graphing Jane Austen: Using Science to Extrapolate the Human Condition from Victorian Literature

By:

What literary Darwinism reveals about universal values.

In 1959, C. P. Snow lamented the tragic disconnect between science and the humanities in his famed “two cultures” lecture. Half a century later, Jonah Lehrer called for the creation of a “fourth culture” of knowledge that would bridge the divide. In Graphing Jane Austen: The Evolutionary Basis of Literary Meaning, researchers Joseph Carroll, John Johnson, Daniel Kruger, and Jonathan Gottschall — who gave us the fascinating The Storytelling Animal earlier this week — embody Lehrer’s vision and bridge the gap between science and literary scholarship by borrowing from the evolutionary biology and modern data analytics to construct a model of human nature that explains the evolved psychology of character dynamics in nineteenth-century British novels.

Using the framework of the model, they asked a sample of several hundred readers to give numerical ratings on 2,000 characters from 202 British novels, including all of Jane Austen’s.

This exercise in literary Darwinism produced three key findings: (1) these novels have determinate “agonistic” structures of meaning — centered on protagonists, antagonists, and minor characters — that can be captured using the model’s framework; (2) the perceived differences between protagonists and antagonists are much more structurally pronounced than the differences between male and female characters; and (3) the agonistic structure of these novels fulfills an adaptive social function, wherein literature articulates and cultivates specific social values.

A few of the findings (PDF) follow, in unnecessarily ugly academic graphics. (Please, oh, please, would some talented literature-loving information designer care to spruce them up?)

The researchers examined the positive and negative emotional responses readers have to characters based on a number of character qualities, including sex, age, attractiveness, personality, motives, and mate selection criteria. Five key motive factors emerged — dominance, constructive effort, romance, subsistence, and nurture — which varied greatly across the male and female protagonists and antagonists, and which played a key role in readers’ emotional responses.

Personality was also broken down to five factors: extraversion (assertiveness and sociability), agreeableness (warmth and affiliative behavior), conscientiousness (organization and reliability), emotional stability (calmness and evenness of temper), and openness to experience (curiosity or mental life).

The authors sum up the findings in a conclusion that seems as true of literature as it is of real life:

Standing as a protagonist — a good major character — typically depends on a combination of prosociality and an active mental life.

Also found were normative differences in personality based on gender:

In personality factors and mate-selection criteria, female protagonists most fully exemplify the normative tendencies of good major characters. The norms of the novels are thus gynocentric or feminized.

Though some may argue that bringing the rigorous lens of scientific research to world of literature is a barbaric way to rob the latter of its whimsy, if we subscribe to the view that fiction illuminates reality, Graphing Jane Austen shines a spotlight that not only would make C. P. Snow proud but also helps better understand our culture’s relationship with constructs like personality, gender, and introversion.

Brain Pickings has a free weekly newsletter and people say it’s cool. It comes out on Sundays and offers the week’s best articles. Here’s what to expect. Like? Sign up.

01 MAY, 2012

Lessons in Conveying Complex Ideas with Simple Graphics from the World’s Best Information Designers

By:

What Frank Zappa’s life has to do with e-waste, whale songs, and the black market for body parts.

Much has been said about visual storytelling and how to tell stories of data in the information age, and there is no shortage of great books on data visualization. But count on Taschen to tackle a big conceptual challenge with a big, beautifully designed book: Information Graphics by art historian Sandra Rendgen explores the four key aspects of visualizing data — Location, Time, Category, and Hierarchy — through exemplary work from more than 200 projects, alongside essays by information architect and TED founder Richard Saul Wurman, Guardian Datablog editor Simon Rogers, Density Design’s Paolo Ciuccarelli, and Rendgen herself.

'Geek Love,' The New York Times, newspaper article, 2008

Exposed to Dungeons & Dragons Early in Life. Design: Sam Potts. Art Direction: Brian Rea

'Medallandssandur,' a blend of the sound specters form sonar and whale song. From a series of drawings, 2010

Design: Torgeir Husevaag. Article: Adam Rogers

'The Very Many Varieties of Beer,' poster, 2010

Design: Ben Gibson, Patrick Mulligan (Pop Chart Lab)

'Two Mindsets,' Stanford, magazine article, 2007

Data Source: Carol Dweck: 'Mindset: The New Psychology of Success', 2006. Design: Nigel Holmes

'Body Parts,' Esquire, magazine article, 2006

Design: Peter Grundy (Grundini). Art Direction: Alex Breuer

'Frank Zappa Chart,' painting, 2008

Artist: Ward Shelley (represented by Pierogi Gallery)

'The Growing E-Waste Situation,' GOOD, website, 2010

Data Source: CBS News; ABI Research; US EPA; Basel Action Network; Silicon Valley Toxics Coalition. Research: Brian Wolford. Design: Andrew Effendy (Column Five Media). Art Direction: Ross Crooks

'Mission(s) to Mars,' IEEE Spectrum, magazine article, 2009

Data Source: Cornell University; European Space Agency; NASA; RussianSpaceWeb.com. Design: Bryan Christie, Joe Lertola. Art Direction: Mark Montgomery, Michael Solita

Information Graphics features work by a number of Brain Pickings favorites, including Stefanie Posavec, Nicholas Felton, Ward Shelley, Hans Rosling, Nathalie Miebach, David McCandless, Toby Ng, Michael Paukner, Christoph Niemann, Sam Potts, and Jonathan Harris. The cover image is, of course, the unmistakable Web Trend Map by Information Architects.

Brain Pickings has a free weekly newsletter and people say it’s cool. It comes out on Sundays and offers the week’s best articles. Here’s what to expect. Like? Sign up.

01 MARCH, 2012

NYTimes Data Artist Jer Thorp on Humanized Data at the Intersection of Science, Art, and Design

By:

On the poetics of probability, or what the architecture of the social web has to do with landing in Hawaii.

In his fantastic recent talk from TEDxVancouver, my friend Jer Thorp — data artist in residence at The New York Times and Brain Pickings regular — takes us on a sweeping tour of his work and ethos, living at the intersection of science, art, and design.

[We need] an inclusion in this dialogue from artists, from poets, from writers — from people who can bring a human element into this discussion. Because I believe that this world of data is going to be transformative to us.”

Among the projects Jer shows are All The Names, Project Cascade, a New York Times initiative that visualizes the underlying structures of conversation and activity on the social web, a harrowing algorithmic installation displaying the names of those who perished in the 9/11 attacks not based on alphabetical order but based on data about who they were and where they were with when they died, GoodMorning!, a beautiful visualization of 11,000 “good morning” tweets sent over a 24-hour period, NYTimes: 365/360, which captures the top organizations and personalities for every year between 1985 and 2001 and the connections between them in a single graphic for each year, and Open Paths, which allows you to liberate your iPhone location data from Apple’s grip to own, use, or donate to meaningful research.

Underpinning Jer’s examples is a powerful common thread of humanizing data and making it a living piece of our personal histories and cultural poetics.

Inspired? Jer has made much of his source code freely available, along with excellent tutorials, and hosts regular workshops on how to wring magic from data.

Brain Pickings has a free weekly newsletter and people say it’s cool. It comes out on Sundays and offers the week’s best articles. Here’s what to expect. Like? Sign up.