What: Online I Curious Minds: ArtScience Monthly #8
When: Tuesday, 17 November 2020, 7 pm CET
Where: Zoom
The ArtScience Monthly is about putting our curiosity into action and learning from one another. We invite you to join in these open and informal evenings, where we'll create playful situations for one-on-one interactions with other participants.
Read MoreWhat: Meet-up
When: 7 pm, 12 November 2019
Where: STATE Studio, Hauptstr. 3, 10827 Berlin
DNL invites you for an evening with some of our collaboration partners of 2019: SUPERMARKT, r0g agency, School of Machines, Making & Make-Believe and STATE Studio, to hear more on their strategies and initiatives for working on social, political and cultural change, and how they involve community in their projects.
Read MoreWhat: Workshop & meet-up
When: 7 pm, 4 September 2019
Where: STATE Studio, Hauptstr. 3, 10827 Berlin
Free admission – registration required as spots are limited.
In preparation of the Disruption Network Lab 17th conference Citizens of Evidence: Independent Investigations for Change, we invite you to join us for a workshop by Danja Vasiliev and Sarah Grant of Radical Networks on how to set a self-hosted secure file sharing system.
Read MoreWhen: 20 March, 7 pm - 10 pm
Where: STATE Studio, Hauptstr. 3, 10827 Berlin
Kick off of the 2019 program of the Disruption Network Lab, ‘The Art of Exposing Injustice’, in cooperation with Transparency International.
Read MoreWann: 28. März - 30. März 2019
Wo: Colonia Nova, Thiemannstraße 1, 12059 Berlin-Neukölln
Das KI Innovation Camp des Kompetenzzentrums Kultur und Kreativwirtschaft entführt uns auf eine Reise in die Welt der Künstlichen Intelligenz und ihrer vielfältigen Anwendungen in Wirtschaft, Kreativsektor, und Gesellschaft. Mit Roman Lipski, Waltz Binaire, Birds on Mars, Museum für Naturkunde Berlin, Weizenbaum Institut für die vernetzte Gesellschaft sowie IBM Aperto und Mobius Labs.
An evening with the legendary XPRIZE Foundation. Learn how teams around the world use moonshot thinking to tackle the world’s grand challenges using cutting-edge Artificial Intelligence technologies.
Read Morewith Jonathon Keats and Alice Gorman.
When: Oct 11, 2017, 7pm-9pm
Where: STATE of AI Pop-Up Studio, 410 S Spring Str, Los Angeles
Portraying example initiatives in the creative capitals Berlin and Los Angeles, the panel discussion „Frei:Räume“ discusses the role which protected niches and free spaces in the city take as catalysts for fostering new cultural and societal models.
Read MoreHow does this “world time” relate to our conscious experience of time?
Read MoreOur childhood summers seemed to stretch on forever but now slip by so fast
Read MoreJulian Barbour will discuss these problems and talk about his latest work on gravity and the arrow of time.
Read MoreAbout time: From Einstein‘s simplest idea to the ends of spacetime
Read MoreA Melanesian perspective on time and reality
Read MoreDuring his keynote lecture, founding director Michael John Gorman will present the work and mission of his initiative Science Gallery at Trinity College Dublin, a cultural space dedicated to creative collisions between science and art.
Read MoreIf the age of mass media was about manufacturing consent, the age of social media is about manu- facturing “now.”
Read MoreThis panel will examine the similarities, differences, and intersections of art and scientific research.
Read MoreAs the earth turns on its axis, cycling through night and day, our experienced environment changes.
Read MoreConceptual artist and experimental philosopher Jonathon Keats takes research on the enteric system as a starting point for considering alternate modes of comprehension that don't directly engage our gray matter.
Read MoreHow to imagine future? And is it of any help to make progress tangible and senseable? What progress can be observed in the area of motions and artificial intelligence? And where else does one find "sentimental machines"?
Read MoreRobots and computers have so far been conceived to perform punctual tasks and exercises in order to help humans with their daily tasks. What would happen if we managed to incorporate learning capabilities into the way they operate?
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