European ARTificial Intelligence Lab: Astronomy x AI
The European ARTificial Intelligence Lab is a follow-up project of the European Digital Art and Science Network and offers international artists working in the field of AI to win a residency at a scientific partner institution and at the Futurelab of Ars Electronica. In this open call round, artists will have the chance to apply for a residency at Leiden Observatory, the Netherlands.
Astronomy x AI
The theme of the residency is Astronomy x AI. The universe is much larger, more diverse, dynamic and enigmatic than our ancestors could have imagined when they first gazed at the stars. The captivating and mysterious nature of that sight makes astronomy so endlessly fascinating. By using experimental methods and technological approaches like artificial intelligence, the Leiden Observatory aims at understanding what we actually see when observing such an ungraspable thing as the universe. Leiden Observatory is exploring fundamental questions about our place in the universe: how the past and the future of knowledge can improve the understanding of all that surrounds us and defines our very existence in time.
The residency is divided in two parts – with an initial 4-6 weeks at Leiden Observatory, where the winning artist will have an especially dedicated science mentor to inspire him/her and his/her work. The second part will be 3-6 weeks with the Futurelab team at Ars Electronica, with whom the winner will develop and make new work inspired by the residency at Leiden Observatory.
The winning artist will be funded during their residency. An artist fee in the amount of € 3,000, a production budget of € 7,000 as well as accommodation and travel are funded from an Ars Electronica designated limited fund covering all residencies (no prize money). In case the winning party is an artist duo or artist group the artist fee, production costs as well as travel and accommodation costs need to be split between the members.
Start online submission: 17 June 2020
Online submission deadline: 22 July 2020 (closing deadline 23:59 CEST/GMT+2)