Content topics

Works composed for, or directly relating to, my favorite medium: the World Wide Web. I was lucky enough to thank Sir Tim Berners-Lee for his invention in person at a 25th birthday party for the Web. There were countless pre-inventors before him, and infinitely more pioneers afterward, but Tim (and CERN) mark a special nexus in human history.

Projects, essays, or news items that feature topics or methods that I’ve taught myself, rather than received formal instruction on. These are often illustrations of my broad curiosity and tenacity. (In stark contrast to the times that I’m exhausted and hide behind the curtains.) See also, Quantum Computing (QC), Artificial Intelligence (AI/ML), Spatial Computing (XR), writing, and music.

Works that make particular use of my favorite widely-used programming language. I’ve been an enthusiastic fan since before Douglas Crockford wrote JavaScript: The Good Parts. It’s dirty and weirdly flexible; so flexible that cowards tried to graft classical inheritance onto it, and later invented TypeScript. (Disgusting.) It could only be better if it had been allowed to be Scheme as Brendan Eich had intended. (I strongly disagree with Eich’s early-2000s stance against gay marriage, but it would be wrong not to acknowledge him as the initial creator of JavaScript. We must contend with our history rather than ignore it.)

Longtime collaborator and dear friend. See also Warning Office.

Works that are constructed around a particular piece of music (see also, music videos), are collaborations with musicians, interviews of musicians, facilitate the creation of music, consist of experimental audio performances, involve the distribution of music, or reflect on the experience of listening to music. I’ve worn all the hats.

Works composed in service of my Master of Fine Arts (MFA) degree at Yale University’s graduate graphic design program in New Haven, Connecticut. See also art.yale.edu, Sheila Levrant de Bretteville, Christopher Pullman, Glen Cummings, Linda van Deursen & Armand Mevis, Jürg Lehni, Daniël van der Velden, Tobias Frere-Jones, Dan Michaelson, Sara Soskolne, Irma Boom, Karel Martens, Sigi Moeslinger & Masamichi Udagawa, and Laurenz Brunner.

“Spatial computing” is a broad term for technologies that facilitate interaction with digital information within a spatial, usually 3D, context. This includes virtual reality (VR), augmented reality (AR), and mixed reality or mediated reality (MR). Extended Reality(XR) is a similar catch-all term, but is limited to the goggle-mediated or “magic window” experiences of VR, AR, and MR—while spatial computing is a larger category encompassing both 3D and 2D; both with and without headsets. See also Simon Greenwold’s coinage of “spatial computing” in his 2003 MIT thesis.

Speaking engagements, talks, lectures, and slideshows.

Wikipedia: XR is a catch-all term to refer to augmented reality (AR), virtual reality (VR), mixed reality or mediated reality (MR), using “X” be an arbitrary variable that can interpolate between these various realities or eXtrapolate (eXtend) beyond them. Time will tell. See also, spatial computing.