GMU:Data as Artistic Material: Difference between revisions

Latest revision as of 11:08, 17 April 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
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 ======

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.
-First meeting Mo, 15.04. voraussichtlich um18:00 (to be confirmed) + Di 16.04. 09:15 - 12:30
+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.
-Juliane Götz, Sebastian Neitsch (Quadrature) mail[@]quadrature.co
+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.
-See for English version bellow
+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.
-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.
+'''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!
-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).
+'''Meetings''': [http://rayzhekov.com/projects/fragile-perspectives/ Di, 09.15 -12.30 @ DBL]  + some non-mandatory meetings on Monday evenings (see schedule below)
-Es wird von den Teilnehmenden erwartet, dass sie in kleinen Teams ein selbst definiertes Kunstwerk konzipieren, entwickeln und realisieren.
+'''Lectures by''': Juliane Götz, Sebastian Neitsch (Quadrature) >>> mail[@]quadrature.co
-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.
+'''====== Schedule ======'''
-Von den Studierenden wird die Fähigkeit und Bereitschaft erwartet, selbstorganisiert zu arbeiten und sich aktiv in den Diskurs des Moduls einzubringen.
+'''Meetings''': '''Di, 09.15 -12.30 @ DBL'''  + some non-mandatory but very recommended meetings on Monday evenings (see schedule below)
-== English version ==
+# Mo 15.04.  introduction to data as artistic material
-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.
+# 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
+# Tu 14.05.  input: time as variable + '''project concepts and workplan for semester'''
+# Tu 21.05.  input: (tbc) & work in groups & prep retreat
+# <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. 18:00  input: artist talk by Refik Anadol (tbc)
+# Tu 11.06.  input: artist talk by Simon Weckert + other stuff
+# <s>Tu 18.06</s>. - 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
+<u>All dates and details may be subject to change :)</u>
+'''====== 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]
+[http://annaridler.com/myriad-tulips Anna Ridler - Myriad Tulips]
+[https://driesdepoorter.be/thefollower/ Dries Depoorter]
+[https://www.ryojiikeda.com/project/datamatics/ Ryoji Ikeda]
+[https://refikanadol.com/works/unsupervised/ Refik Anadol]
+[https://mimionuoha.com/the-library-of-missing-datasets Mimi Onuoha]
+[https://deweyhagborg.com/projects/probably-chelsea Heather Dewey-Hagborg]
+[https://wwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwww.bitnik.org/1-star !Mediengruppe Bitnik]
+[http://peripheriques.free.fr/blog/index.php?/works/2016-blacklists/ Nicolas Maigret]
+[https://disnovation.org/bestiary_exhibit.php Disnovation]
+[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]
-[[Category:Syllabus]]