Gary Hall (ed.): Digitize Me, Visualize Me, Search Me: Open Science and its Discontents (2011-)

“One of the aims of the Living Books About Life series is to provide a ‘bridge’ or point of connection, translation, even interrogation and contestation, between the humanities and the sciences. Accordingly, this introduction to Digitize Me, Visualize Me, Search Me takes as its starting point the so-called ‘computational turn’ to data-intensive scholarship in the humanities.

The phrase ‘the computational turn’ has been adopted to refer to the process whereby techniques and methodologies drawn from computer science and related fields – including science visualization, interactive information visualization, image processing, network analysis, statistical data analysis, and the management, manipulation and mining of data – are being increasingly used to produce new ways of approaching and understanding texts in the humanities – what is sometimes thought of as ‘the digital humanities’.” (from Introduction)

Publisher Open Humanities Press
Living Books About Life series

View online (wiki/PDF/HTML articles/videos)
PDF (PDF’d Introduction with hyperlinked articles)

Hausmann, Hidalgo et al.: The Atlas of Economic Complexity: Mapping Paths to Prosperity (2011)

The Atlas of Economic Complexity: Mapping Paths to Prosperity measures the diversity of productive knowledge of 128 countries and demonstrates remarkable predictive value in forecasting how fast countries will grow. Its authors argue that it is 10 times more accurate at predicting growth over a decade than the World Economic Forum’s Global Competitiveness Index. The framework is used to project growth to 2020.

China (1), India (2) and Thailand (3) top the rankings for per capita growth potential followed by Belarus (4), Moldova (5), Zimbabwe (6), Ukraine (7), Bosnia and Herzegovina (8), Panama (9), and Mexico (10). For these countries, the current level of productive knowledge is unusually high for their level of income which should allow them to catch up faster than other nations. Seven Eastern European countries rank in the top 20 in terms of expected growth in income per capita while only two Latin American countries (Panama and Mexico) are in that group.

The Atlas identifies eight Sub-Saharan African countries among the Top Ten for expected GDP growth: Uganda (1), Kenya (2), Tanzania (3), Zimbabwe (4), Madagascar (5), Senegal (6), Malawi (7), and Zambia (10). The other Top Ten nations are India (8) and Guatemala (9). Unfortunately, Sub-Saharan African countries also dominate the bottom 10 countries in terms of expected growth per capita.

Meanwhile, several Eastern European countries rank surprisingly high in their Economic Complexity, which is a gauge to measure their productive knowledge. The Atlas ranks the Czech Republic eighth and Slovenia tenth while Hungary and the Slovak Republic appear in the top 20. Other Top Ten ranked countries in economic complexity include Japan (1), Germany (2), Switzerland (3), Sweden (4), Austria (5), Finland (6), Singapore (7), and the United Kingdom (9).

The United States, at position 13, is not listed among the Top Ten ranking for economic complexity and is ranked 85th for expected GDP growth.

“A country’s competitiveness is driven by the amount of productive knowledge that its people and organizations hold and it is expressed in the variety and complexity of the products it is able to successfully export. Productive knowledge does a remarkable job at explaining why countries are rich or poor and why some catch up and others do not,” says Ricardo Hausmann, report co-author and director of CID.

“In the short run, countries with natural resource wealth can be rich without much productive knowledge and get access to the world’s knowledge through imports. In the long run, however, wells run dry and mines get depleted, and income sooner or later will reflect the productive knowledge of the economy,” says César Hidalgo, report co-author and director of the Macro Connections group at the MIT Media Lab. (from press release)

Authors: Ricardo Hausmann, Cesar A. Hidalgo, Sebastian Bustos, Michele Coscia, Sarah Chung, Juan Jimenez, Alexander Simoes, Muhammed A. Yildirim.
Published in October 2011
A collaboration between Center for International Development at Harvard University and Macro Connections group at the MIT Media Lab.
ISBN 0615546625, 9780615546629
362 pages
Licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

authors

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John Emerson: Visualizing Information for Advocacy: An Introduction to Information Design (2008) [English, Russian]

Modern life is saturated with ever increasing amounts of information, advertising and media with little time to digest what is being said. Against this background, NGOs and advocates too often find the information they want to communicate, either buried in long reports full of professional jargon and statistics, or overlooked in an endless stream of media releases. Whether communicating to the public, staff, donors or government officials, information design can help NGOs communicate with more impact, increase accessibility, and present issues powerfully.

Visualizing Information for Advocacy: An Introduction to Information Design is a manual aimed at helping NGOs and advocates strengthen their campaigns and projects through communicating vital information with greater impact. This project aims to raise awareness, introduce concepts, and promote good practice in information design – a powerful tool for advocacy, outreach, research, organization and education.

The manual was designed and produced as a collaboration between Tactical Tech and John Emerson of Backspace – a design consultancy dedicated to research, development and promotion of design in the public interest. John’s work portfolio includes print, internet, and broadcast television work for NGOs, not-for-profit corporations, and activist groups.

Written and designed by John Emerson, Principal at Apperceptive LLC
Produced by the Tactical Technology Collective
Creative Commons Attribution-Share Alike 3.0 License

Project website

PDF (English, updated on 2014-8-29)
PDF (Russian, updated on 2014-8-29)