Logo and Side Nav
News
Velit dreamcatcher cardigan anim, kitsch Godard occupy art party PBR. Ex cornhole mustache cliche. Anim proident accusamus tofu. Helvetica cillum labore quis magna, try-hard chia literally street art kale chips aliquip American Apparel.
Search
Browse News Archive
- March 2014
- February 2014
- January 2014
- December 2013
- November 2013
- October 2013
- September 2013
- August 2013
- July 2013
- June 2013
- May 2013
- April 2013
- March 2013
- February 2013
- January 2013
- December 2012
- November 2012
- October 2012
- September 2012
- August 2012
- July 2012
- June 2012
- May 2012
- April 2012
- March 2012
- February 2012
- January 2012
- December 2011
- November 2011
- October 2011
- September 2011
- August 2011
- July 2011
- June 2011
- May 2011
- April 2011
- March 2011
- February 2011
- December 2010
- November 2010
- October 2010
- August 2010
- July 2010
- June 2010
- May 2010
- April 2010
- March 2010
- February 2010
- January 2010
- December 2009
- November 2009
- October 2009
- September 2009
- August 2009
- July 2009
- June 2009
- May 2009
- April 2009
- March 2009
- February 2009
- January 2009
- December 2008
- November 2008
- October 2008
- September 2008
- August 2008
- July 2008
- June 2008
- May 2008
- April 2008
- March 2008
- February 2008
- January 2008
- December 2007
- November 2007
- October 2007
- September 2007
- June 2007
- May 2007
Sunday, October 9, 2011
two talks about Cultural Analytics at Mobility Shifts NYC, October 14-15
Mobility Shifts NYC conference full schedule
Friday, October 14
10:00 am - 12:30 pm
Wollman Hall, Eugene Lang Building, 65 West 11th St., 5th floor
Lev Manovich (Software Studies Initiative, UC San Diego)
Data Literacy and Cultural Analytics
The joint availability of numerous large data sets on the web and free tools for data scraping, cleaning, analyzing and visualizing enable potentially anybody to become a citizen data miner. But how do we enable this in practice? What are the necessary elements of “data literacy”? How do we inspire students in traditionally non-quantitative fields (art history, film and media studies, literary studies, etc.) to start playing with big data?
One the limitations of the existing popular data analysis and visualization tools is that they are designed to work with numbers and texts – but not images and video. To close this gap, In 2007 we have established Software Studies Initiative (softwarestudies.com) at University of California, San Diego. The lab’s focus in on development of new visualization methods particularly suited for media teaching and research. In my presentation I will show a sample of our projects including visualization of art, film, animation, video games,magazines, comics, manga, and graphic design. Our image sets range from 4535 covers of Time magazine to 320,000 Flickr images from “ArtNow” and “Graphic Design” groups, and one million manga pages.
In September 2011 we released ImagePlot - free software tool that visualizes collections of images and video of any size. I will discuss how we use Image Plot in classes with both undergraduate and graduate students to create collaborative projects which reveal unexpected cultural trends and also make us question our existing concepts for understanding visual culture and media.
Saturday, October 15
1:30-4:30 pm: Progressive Digital Pedagogy: Remix, Collaboration, Crowdsourcing
Wollman Hall, Eugene Lang Building 65 West 11th St., 5th floor
Elizabeth Losh (Sixth College, UC San Diego)
In recent years progressive digital pedagogy has borrowed from five major aspects of the popular culture developing around computational media: 1) remix practice, 2) multimodality, 3) accelerated response, 4) crowd sourcing, and 5) narrowcasting. Yet for many years the conventional classroom pedagogy around teaching “current events” has remained unchanged: it still generally focuses on having learners mechanically cut out recent news stories produced by traditional print journalists with little attention to how the news is made, how it remixes sources, how it appeals to particular audiences, or how particular patterns of visual imagery and verbal rhetoric could be analyzed critically. This talk focuses on recent work by the Software Studies initiative at U.C. San Diego by the Cultural Analytics group and shows how media visualization and crowd sourcing could be used in educational contexts with large publically accessible libraries of digitized news and smaller archives of government public information videos.