I highly recommend this report chaired by Noah Wardrip-Fruin at UC Santa Cruz
adn would be interested in yasminer comments and reactions
http://mediasystems.soe.ucsc.edu/report
this report was funded at the same time as the SEAD report I co
chaired (http://seadnetwork.wordpress.com/white-papers-report/ )
Noah's report has a number of recommendations for integrating the
arts, humanities and computer science
"Envisioning the Future of Computational
Media,"http://mediasystems.soe.ucsc.edu/report
This is the final report of the Media Systems project, held at
University of California,
Santa Cruz in 2012. This gathering brought together field-leading
participants from media-focused computer science,
digital art, and digital humanities — located in and across
universities, industry, federal agencies, publishers, and other
stakeholders in the future of media. Different participants focused on
diverse aspects of how new media forms are
impacting culture, education, the economy, and other areas of national
importance, using examples ranging from the
World Wide Web to computer animation, and from video games to social
media. Surprisingly — despite this diversity of
background and focus — rather than struggling to explain our different
fields to each other, we found ourselves engaged
in deep conversation focused on a coherent set of shared activities.
For the purposes of this report, the authors have
chosen to name these activities computational media.
Computational media involves four types of work and develops four
types of knowledge and skills — generally combining
two or more of these categories simultaneously:
● Technical — computational media work requires and develops deep
technical engagement, from
the invention of new algorithms to the use of specialized tools for
purposes such as 3D animation or
examining code archives.
● Creative — computational media practitioners must exercise creative
skills, from the creation of
new genres of digital art and scholarship to the imagining and
prototyping of new technology and tool
possibilities for media.
● interpretive — the creation and understanding of computational media
requires being able to
interpret particular examples and place them in broader contexts, from
situating media forms historically
to interpreting new kinds of human learning behavior enabled by
computational artifacts.
● Collaborative — computational media work is most often carried out
by interdisciplinary group
for discussion see
roger malina
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