The project recognizes the diverse forms of data – private, public, environmental, live, stored, secret, past, present, and future - sourced from sensors, apps, science, governments, societies, and personal experiences. The abundance of data invites us to excavate relevant bits from the trivia pile, unveiling patterns and narratives within time and space. Unlike traditional academic research, artistic research within this project aims not to uncover a single truth but to provide subjective narratives, speculative statements, or even purely poetic approaches: Data as Dada; artistic reflection instead of standard visualisations; analysing data settings rather than data sets.
The project will involve discussions on various data and related artworks, viewing technology as a tool to read and write realities. The objective is to interpret, translate, and experiment with the numbers offered by the world around us – a practice of data literacy: curious, competent, critical, and creative approaches to data. In addition to various inputs by the lecturers, talks by other artists are planned. Details to be confirmed.
Ultimately, this project encourages students to consider data as a new type of raw material, offering new aesthetic opportunities, extraordinary insights, and artistic expression. Emphasizing collaborative work, participants are expected to work in small teams to conceptualise, develop and realise a self-defined artwork.
A field trip is planned (probably 30.05. - 02.06.) to Brandenburg countryside, offering students insights into the life of freelance artists and their natural habitat. Focus is on collaborative practice.
Students are expected to be able and willing to work in a self-organised manner and to actively participate in the discourse of the module.
Important: If you are interested to work with A.I., please also choose the Fachmodul "Critique and (Artificial) Intelligence - Machine learning and critical theory" by Dr. Alexander König!
Meetings: Di, 09.15 -12.30 @ DBL + some non-mandatory meetings on Monday evenings (see schedule below)
Lectures by: Juliane Götz, Sebastian Neitsch (Quadrature) >>> mail[@]quadrature.co
====== Schedule ======
Meetings: Di, 09.15 -12.30 @ DBL + some non-mandatory meetings on Monday evenings (see schedule below)
Mo 15.04. introduction to data as artistic material Tu 16.04. organisation ( timetable, retreat, presentations) & human statistic Mo 22.04. 19:00 Screening Tu 23.04. input: tech stuff & defining groups Tu 30.04. input: critical data & elevator pitches of projects + feedback Tu 07.05. short presentations by students (1 dataset per person) – online! Mo 13.05. 19:00 Screening Tu 14.05. input: time as variable + project concepts and workplan for semester Tu 21.05. input: (tbc) & work in groups & prep retreat Tu 28..05. - no meeting Th 30.05. evening - So 02.06. morning: weekend retreat @ Funkinstitut - working session & project midterm presentations & input: data from life as artist Tu 04.06. - no meeting Mo 10.06. 18:00 input: artist talk by Refik Anadol (tbc) Tu 11.06. input: artist talk by Simon Weckert + other stuff Tu 18.06. - no meeting Tu 25.06. we will see what makes sense Tu 02.07. Final presentations? Tu 09.07. - Su 14.07. - preparation for Summaery? – we will see what makes sense
All dates and details may be subject to change :)
====== Some Books ======
John D. Kelleher, Brendan Tierney: Data Science, ISBN 978-0-262-53543-4
Catherine D'Ignazio, Lauren F. Klein: Data Feminism, ISBN 978-0-262-54718-5
Christoph Grünberger: The Age of Data Luci Pangrazio, Neil Selwyn: Critical Data Literacies
Thomas Piketty: Eine kurze Geschichte der Gleichheit
====== Some Artists / Artworks ======