Bowdoin: Data Driven Socities 2014 - Representation 02/03/14

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Information about Bowdoin: Data Driven Socities 2014 - Representation 02/03/14

Published on February 4, 2014

Author: jgieseking



Data Driven Societies
Digital & Computational Studies
Bowdoin College
February 3, 2014
Professors Gieseking & Gaze

Lecture Slides "Keeping it Real and Honest: Representing Data"

Data Driven Societies: Representation Professors Gaze & Gieseking

What is representation? ✦ Using signs, terms, characters, images, etc., that stand in for or take the place of something else

Kurgan: The Necessity of Interpretation ✦ Remote sensing acquisition of information about an object or phenomenon without making actual physical contact with the object or experience ✦ Global positioning systems (GPS) - space-based satellite navigation

Politics of Representation ✦ Transparency, freedom of inquiry, and openness sit alongside militarization, security, and official qualities of aerial photography ✦ “There is no absolute scale, just as there is no natural or logical starting or stopping point for the zoom.” (Kurgan 20) ✦ “The View from Nowhere” - Svetlana Alpers ✦ “God’s eye view” - Donna Haraway

Kurgan: Million Dollar Blocks

Kurgan: Million Dollar Blocks GoogleMaps

Kurgan: Million Dollar Blocks

Kurgan: Million Dollar Blocks

Fighting Crime with Social Networks Radil, Steven M., Colin Flint, and George E. Tita. 2010. “Spatializing Social Networks: Using Social Network Analysis to Investigate Geographies of Gang Rivalry, Territoriality, and Violence in Los Angeles.” Annals of the Association of American Geographers 100 (2): 307–26.

Visualize This Visualization is what happens when you make the jump from raw data to bar graphs, line charts, and dot plots. —Nathan Yau, Data Points (2013, 92)

Visualize This To put it another way, there is no such thing as raw data. Data are always translated such that they might be presented. The images, lists, graphs, and maps that represent those data are all interpretations. … The phrase ‘data visualization,’ in that sense, is a bit redundant: data are already a visualization. —Laura Kurgan, Close Up at a Distance (2013, 35)

Next Class: Feb. 5 ✦ Readings: Cohen only, do not read the Illinsky ✦ Quiz: email you the list of terms this afternoon ✦ Blog: next post due now on 2-10, email you the detailed instructions this afternoon ✦ Course topic: on Wednesday, we shift from a focus on Data to Privacy

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