New ideas for integrating the arts, humanities and computer science


I highly recommend this report chaired by Noah Wardrip-Fruin at UC Santa Cruz  
that was funded at the same time as the SEAD report i co chaired ( )

Noah’s report has a number of recommendations for integrating the arts, humanities and computer science

“Envisioning the Future of Computational Media,”  

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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