GMU:Data as Artistic Material: Difference between revisions

Latest revision as of 17:18, 13 August 2024

Still von audiovisual performance Orbits, based on data from satellites and their trash.

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 but very recommended 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 dataset presentations by students (1 dataset per person) – online!
~~Mo 13.05. 19:00 Screening~~ - postponed to a different date (tba)
Tu 14.05. project concepts (and workplan for semester) + prepping retreat
Tu 21.05. consultations in project groups
~~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. 19:00 input: artist talk by Simon Weckert
Tu 11.06. we meet at 09:15 -> @10:00 input: artist talk by Refik Anadol
~~Tu 18.06~~. - no meeting - individual consultations instead in the week before
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 :)

====== Participants ======

====== 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 ======

Simon Weckert

Anna Ridler - Myriad Tulips

Heather Dewey-Hagborg

Alexandra Daisy Ginsberg

Marco Barotti

Semiconductor

Antony Rayzhekov

@@ Line 1: / Line 1: @@
-Di, 09.15 -12.30
+[[File:Orbits@Quadrature@credit-Quadrature.png|thumb|409x409px|Still von audiovisual performance Orbits, based on data from satellites and their trash.]]
+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 "[https://www.uni-weimar.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=62251&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&xmlheader=&menuid=editlectures Critique and (Artificial) Intelligence - Machine learning and critical theory]" by Dr. Alexander König!
+'''Meetings''': [http://rayzhekov.com/projects/fragile-perspectives/ 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 but very recommended 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 '''dataset presentations''' by students (1 dataset per person) – online!
+# ''<big><s>Mo 13.05. 19:00  Screening</s>  - postponed to a different date (tba)</big>''
+# ''<big>Tu 14.05.  '''project concepts (and workplan for semester) + prepping retreat'''</big>''
+# Tu 21.05.  consultations in project groups
+# <s>Tu 28..05</s>. - no meeting
+# Th 30.05. evening - So 02.06. morning: weekend retreat @ Funkinstitut - working session & '''project midterm presentations''' & input: data from life as artist
+# <s>Tu 04.06</s>. - no meeting
+# Mo 10.06. 19:00  input: artist talk by Simon Weckert
+# Tu 11.06.  we meet at 09:15 -> @10:00 input: artist talk by Refik Anadol
+# <s>Tu 18.06</s>. - no meeting - individual consultations instead in the week before
+# 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
+<u>All dates and details may be subject to change :)</u>
+'''====== Participants ======'''
+*[[/studentname|DahyeSeo]]
+*[[Fred & Amelia]]
+*[[Theo & Yun|ALLE:ELLA - Theo & Yun]]
+*[[Parisa & Maxi]]
+*[[Kevin & Sabah]]<br />
+'''====== 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 ======'''
+[https://simonweckert.com/nullisland.html Simon Weckert]
-First meeting Mo, 15.04. ab 10:00 + Di 16.04.
+[http://annaridler.com/myriad-tulips Anna Ridler - Myriad Tulips]
-Juliane Götz, Sebastian Neitsch (Quadrature) mail[@]quadrature.co
+[https://driesdepoorter.be/thefollower/ Dries Depoorter]
-See for English version bellow
+[https://www.ryojiikeda.com/project/datamatics/ Ryoji Ikeda]
-Das Projekt widmet sich den verschiedenen Arten von Daten - privat, öffentlich, ökologisch, live, gespeichert, geheim, historisch, aktuell oder zukünftig -, die von Sensoren, Apps, Wissenschaft, Regierungen, Gesellschaften oder individuellen Erfahrungen stammen. Die Fülle der Daten lädt dazu ein, relevante Bits aus dem Haufen der Trivialitäten auszugraben und Muster und Erzählungen durch Zeit und Raum zu enthüllen. Im Gegensatz zur traditionellen akademischen Forschung zielt die künstlerische Forschung in diesem Projekt nicht darauf ab, eine einzige Wahrheit aufzudecken, sondern subjektive Erzählungen, spekulative Aussagen oder rein poetische Ansätze zu liefern: Daten als Dada; künstlerische Reflexion anstelle von klassischen Visualisierungen; Analyse von Datensettings anstelle von Datensätzen.
+[https://refikanadol.com/works/unsupervised/ Refik Anadol]
-Der Kurs wird Diskussionen über verschiedene Daten und damit verbundene Kunstwerke beinhalten, wobei Technologie als ein Werkzeug zum Lesen und Schreiben von Realitäten betrachtet wird. Ziel ist es, die Zahlen, die die Welt um uns herum bietet, zu interpretieren, zu übersetzen und mit ihnen zu experimentieren - Datenkompetenz als neugieriger, kritischer und kreativer Umgang mit Daten.Letztlich ermutigt dieses Projekt die Studierenden, Daten als eine neue Art von Rohmaterial zu betrachten, das neue ästhetische Optionen, außergewöhnliche Einsichten und künstlerischen Ausdrucksmöglichkeiten bietet ( (und eine ganze Reihe von Problemen).
+[https://mimionuoha.com/the-library-of-missing-datasets Mimi Onuoha]
-Es wird von den Teilnehmenden erwartet, dass sie in kleinen Teams ein selbst definiertes Kunstwerk konzipieren, entwickeln und realisieren.
+[https://deweyhagborg.com/projects/probably-chelsea Heather Dewey-Hagborg]
-Geplant ist eine Exkursion (voraussichtlich 30.05. - 02.06.), die den Studierenden Einblicke in das Leben als freischaffende:r Künstler:in und in deren natürlichen Lebensraum bietet.
+[https://wwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwww.bitnik.org/1-star !Mediengruppe Bitnik]
-Von den Studierenden wird die Fähigkeit und Bereitschaft erwartet, selbstorganisiert zu arbeiten und sich aktiv in den Diskurs des Moduls einzubringen.
+[http://peripheriques.free.fr/blog/index.php?/works/2016-blacklists/ Nicolas Maigret]
-== English version ==
+[https://disnovation.org/bestiary_exhibit.php Disnovation]
-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.
+[https://www.cyborgarts.com/moon-ribas Moon RIbas]
-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.
+[https://www.daisyginsberg.com/work/pollinator-pathmaker Alexandra Daisy Ginsberg]
-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.
+[https://www.marcobarotti.com/Corals Marco Barotti]
-A field trip is planned (probably 30.05. - 02.06.), offering students insights into the life of freelance artists and their natural habitat.
+[https://semiconductorfilms.com/art/20hz/ Semiconductor]
-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.
+[http://rayzhekov.com/projects/fragile-perspectives/ Antony Rayzhekov]