• A fine book of interviews edited by Robert Simanowski, Digital Media and Digital Humanities has been published open access – July 2016 – and is downloadable from Open Humanities Press. I'm very pleased to be in the company of many luminaries including Johanna Drucker and Bernard Stiegler. My own interview with Roberto, extracted from the book, is available here.

The Listeners version 2 was selected by Wire Magazine online as number 7 among The Ten Best Amazon Echo Skills for Loners.

• There will be a performance of The Listeners at The Kitchen in NYC on Sept. 10, 2016, after 4pm, as part of an exciting event curated by Illya Szilak that will last from 1pm thru 6pm and involve many other digital language artists.


The Listeners

Since they were first installed, Nov-Dec 2015, The Listeners have visited Counterpath's new gallery space in Denver Colorado and joined the Cultural R>Evolution at ISEA 2016 in Hong Kong. For ISEA, an updated, version 2, of The Listeners was presented, including a vocal performance by Ian Hatcher of new text by myself, with sound design assistance from Ben Nicholson. Version 2 was refined and tested after ISEA, then submitted for certification as a skill for Alexa. The Listeners, updated, was certified and went live on June 3. If you happen to have an Echo (or Dot or Tap), please enable The Listeners and share your affect! (If you have already enabled The Listeners, then you have the new version automatically. Updates of this type are currently 'silent' in the Alexa skills framework.)

Documentation for The Listeners has also been significantly improved on this site, with, in particular, 'Statements' based on forthcoming essays, and links to a page collecting reviews by people who have enabled The Listeners, and to a page with records of 'speakers' intents' that were harvested during installations of The Listeners. These are interesting materials to consider as consequences of certain networked projects, and their contexts. (Today – June 5 – I first heard the phrase "Dark Data" – a phenomenon that IBM's Watson can turn to our 'betterment'. How much of 'our' Dark Data should we bring into the light?)