crowdsourcing

Historypin, A New Tool for Digital Storytelling

Historypin, a collaboration between Google and the nonprofit We Are What We Do, is a dedicated space for people to build collections of photos and narratives throughout history. Photos are uploaded, credited, and contextualized (on the right side) and give different (or more flattened) perspectives of historical events, eras, and people. The site leverages a Google Maps API to crowdsource and present location data.

The Organization and Discovery of Music

http://www.inventinginteractive.com/2011/03/30/music-discovery-and-organization/

In this article, David Young thinks back on the way music was organized.  When he owned cds, his collection was largely piles of "recently played" or "heavy rotation" with a bit of alphabetization here and there.  He also mentions how record stores always suggested obscure and amazing tracks.

Photovine gets released, competing with Instagram on iOS

Google has released a new Photo Sharing app on iOS devices named Photovine in July. This application is one of many photo sharing applications now already exists on iOS and Android devices, such as Instagram and Piictu.


Some say Photovine is Instagram+Piictu. Photovine loses the functionality of filtering pictures like Instagrams offers, yet picks up the feature of grouping photos into theme from Piictu. 


Modeling Climate Change with Crowdsourced Weather Data

Citizen scientists have been enlisted in a new project inviting them to transcribe weather measurements in old Royal Navy logbooks. The OldWeather.org project is part of the Zooniverse group, responsible for several citizen science projects discussed in class, with the goal of crowdsourcing information that sailors recorded aboard ships during WWI. The transcribed historical weather data will be used by scientists to refine models of the Earth's climate, and gain further insight into how it has changed over the last century.

Using the crowd to your company's advantage

23andMe and CureTogether – two online services that were inspired by the grass-roots Quantified Self movement – are leveraging the contributions of passionate users to create a continuously growing pool of anonymized data that they can mine in order to draw scientific conclusions and present health recommendations for consumers in an organized and accessible format. Typically medical studies are extremely costly, time-consuming, and difficult, regardless of whether one is researching common or esoteric condition but the hope here is that crowd-sourcing and data-mining will enable them to leverage network effects and reach faster results. 


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