Data Driven Stories: Aaron Koblin for the Future of StoryTelling
Aaron Koblin discusses his high-profile web-based creative projects which have all been groundbreaking:
A sort of dreamscape unto itself, this film charts the creation of several of acclaimed artist Aaron Koblin’s most imaginative and game-changing projects, including the crowd-sourced music video for Johnny Cash’s song “Ain’t No Grave” and the user-customized short film “The Wilderness Downtown,” which is set to Arcade Fire’s “We Used to Wait” and was created entirely in HTML5. Koblin also describes the genesis and evolution of what may be his most groundbreaking work to date: “This Exquisite Forest,” a collaborative art project and online story generator (created with Chris Milk and the Tate Modern museum in London) built and nurtured by web users. Koblin’s remarkable oeuvre draws increasingly on the immense computing, storage, and data-sharing capabilities of the current generation of computers—as well as recent innovations like hardware-accelerated browser graphics—and demonstrates in the most vivid ways imaginable the infinite artistic and narrative possibilities of crowdsourced digital creation and autonomous storytelling.
An Open Letter to all of Advertising and Marketing
Speaks for itself …
Experiments in body art: Crowdsourcing a tattoo (from New Scientist)
On paper it sounded amazing. A willing volunteer put herself in the hands of complete strangers who would design and vote on a tattoo to adorn the skin covering the left side of her rib cage. And all in the name of science and art…sort of.
The idea came from the volunteer herself: Caisa Ederyd, who works for Don’t Panic magazine decided that she wanted to crowdsource her first tattoo. She wanted to go for something anatomical, and the Wellcome Collection provided sponsorship as part of their Skin exhibition.
… but it didn’t exactly work in practice ….
How poortaste used Tumblr for a special occasion … and made a small profit:
Impressing old people is as easy as:
1) Setup a Tumblr.
2) Print out business cards with instructions on how to send picture messages to the tumblr.
3) Handing out said business cards at the beginning of the wedding (works for all events).
4) Help Aunty save the tumblr email address as a contact in her phone.
5) ???
6) Profit.The finished result is really awesome. A ton of candid photos from throughout the entire weekend from a lot of different perspectives. I am sure the professional photos will come out great, but they won’t capture the VIBE, which in my opinion is just as important in remembering the night(s).
For less than $20 and 20 minutes of my time, I was able to give the bride and groom a really unique way of remembering their wedding.
Data Visualization channel on Vimeo
This one is ‘White Glove Tracking’, where data was crowdsourced isolating Michael Jackson’s famous White Glove from a performance of ‘Billie Jean’, which was then manipulated in various ways. More on the project here.
Making maps to fight disaster, build economies - Lalitesh Katragadda (TED Talks)
As of 2005, only 15 percent of the world was mapped. This slows the delivery of aid after a disaster — and hides the economic potential of unused lands and unknown roads. In this short talk, Google’s Lalitesh Katragadda demos Map Maker, a group map-making tool that people around the globe are using to map their world.
Stunning example of crowdsourcing.
Meaning Tool: Training Semantic Search With Feeds
Meaningtool - Demo from Popego on Vimeo
If you’ve ever believed that semantic search is meant exclusively for researchers, then Meaning Tool might prove you wrong. Through Popego, the semantic search engine allows you to add your online profile and interests such as “gadgets” or “current news”. From here, Meaning Tool serves you entertaining content from across your social graph. ReadWriteWeb took a look at how the tool works and how it just might bridge the gap between scholars and social media junkies.
Meaning Tool is a semantic engine that offers users a chance to extract concepts from text using specific semantic trees. As mentioned, you define your categories of interest by creating search parameters and training them with related websites or RSS feeds. Similar to Open Calais, the service appears to use the linked data standard to retrieve data via dereferenceable URIs on the web. From there you can search text in any romantic language to produce relevant words and categories. Categories such as “technology” and “security” are then shown in a pie chart to represent the percentage of relevancy the text has to these key categories. The system also offers a tag cloud of relevant keywords and key concepts. And finally, Meaning Tool extracts entities such as mentioned companies, people and places.
Via Read Write Web