e-Xploration
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antropologiaNet, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
Curated by luiy
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Racontez-moi 5 ans de CRISE by @NicolasBecquet | #ddj #socialchange

Racontez-moi 5 ans de CRISE by @NicolasBecquet | #ddj #socialchange | e-Xploration | Scoop.it
5 années de crise
luiy's insight:

Faillites d’établissements financiers, interventions des banques centrales, sommets mondiaux et européens,… Sur 5 années de crise, les événements se sont succédé à un rythme soutenu. Nous avons retenu douze événements clés qui illustrent les tournants d’une crise aux multiples facettes: crise financière, crise économique et crise de la dette. Plusieurs économistes, dont Geert Noels, Etienne de Callataÿ ou encore Paul De Grauwe expliquent les racines de la crise et les enseignements à tirer.

A travers de courtes vidéos, des infographies interactives et des diaporamas rassemblés dans notre application, découvrez les clés pour comprendre la plus grande crise après celle de 1929.

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Digital Humanitarians: From Haiti Earthquake to Typhoon Yolanda

Digital Humanitarians: From Haiti Earthquake to Typhoon Yolanda | e-Xploration | Scoop.it

"We’ve been able to process and make sense of a quarter of a million tweets in the aftermath of Typhoon Yolanda. Using both AIDR (still under development) andTwitris, we were able to collect these tweets in real-time and use automated algorithms to filter for both relevancy and uniqueness. The resulting ~55,000 tweets were then uploaded to MicroMappers (still under development). Digital volunteers from the world over used this humanitarian technology platform totag tweets and now images from the disaster (click image below to enlarge). At one point, volunteers tagged some 1,500 tweets in just 10 minutes. In parallel, we used machine learning classifiers to automatically identify tweets referring to both urgent needs and offers of help. In sum, the response to Typhoon Yolanda is the first to make full use of advanced computing, i.e., both human computing and machine computing to make sense of Big (Crisis) Data"


Via Howard Rheingold
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Howard Rheingold's curator insight, November 12, 2013 11:51 AM

Crisis mapping and tools for organizing emergent collective response to disasters is combining human and machine filters to deal with large numbers of responses in the crucial early hours after a crisis -- in this case, Typhoon Yolanda

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The ‘Fragile Five’ will not create a new global #economic #crisis | #SNA

The ‘Fragile Five’ will not create a new global #economic #crisis | #SNA | e-Xploration | Scoop.it
Fears that the 'Fragile Five' will provoke a new global financial crisis are overblown. The cycle of economic instability is driven by the political economy of the US, not peripheral countries.
luiy's insight:

We should think of the global financial system as a network of financial relationships, in which some countries are heavily connected to everyone else, while others are only weakly connected.  For example, if you look at cross-border portfolio assets, there are enormous differences between the center and the periphery. As the figure above (based on IMF cross-border portfolio investment data for the end of 2012) illustrates, the U.S. is right at the center of the network, attracting investment in large amounts from almost every country in the system. Most countries, including the Fragile Five, sit on the periphery, attracting limited investment from a very small number of countries. The UK occupies an intermediate position in the network—not quite as central as the U.S., but certainly not peripheral either. Large EU countries are in turn less central than the UK, but less peripheral than the remaining countries. Though America’s centrality in the global financial system is widely understood, people have thought little about how this structure affects the system as a whole.

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