May 15 | The Algorithm Multiple, The Algorithm Material: Reconstructing Creative Practice | UC Davis

diagram explaining dating algorithms in action

Traditionally, computer scientists define an algorithm as a list of instructions for accomplishing a single goal. This definition treats an algorithm as (1) a coherent, usually textual, single object that (2) can be separated from its technological execution. Instead, we argue for the usefulness of studying algorithms in and as action. Algorithms-in-action, particularly computational algorithms, depend on actors outside them: the sources of the data they require as inputs, the machines that execute them, the storehouses that maintain their results and make them available for other processes, and so on. Algorithms are not stable texts but rather more-or-less stable agglomerations of people, machines, policies, data, and so on whose dimensions and components change over time. Our talk will examine the multiplicity and contingency of algorithms through two case studies from very different algorithmic sites — architectural software, and online dating services. Using those sites as springboards, it will argue that taking algorithms as multiple rather than singular and as material agglomerations rather than discursive texts opens up new entry points for creative and critical practice in design, the arts, and engineering.

March 14, 2014 | Teaching interaction design performance skills | IDEO SF

I’ll be talking with interaction designers at IDEO’s SF office about interaction design and performance. Here’s a brief blurb:

What makes some interaction design projects go so smoothly, and some…not? Drawing from ethnographic observation at three design consultancies in San Francisco, Elizabeth Goodman will argue that physical performance activities are central to successful projects, from clustering Post-Its to make priorities visible, to acting out scenarios with wireframes, to identifying and assembling the right audience for presentations. We’ll use this presentation to kick off a conversation about teaching and practice: How might we improve our own performance skills? And how might we teach them to others?