Responding to global challenges through data-driven art

Martin Zeilinger

doi:10.2218/newreal.10928

Responding to global challenges through data-driven art

Martin Zeilinger^*

^*Corresponding author for this work

Department of Games and Arts

Research output: Contribution to journal › Article › peer-review

6 Downloads (Pure)

Abstract

Researcher and curator Martin Zeilinger discusses a landscape review of AI art and artists in the context of responding to global challenges through data-driven art.

Original language	English
Pages (from-to)	48-52
Number of pages	5
Journal	The New Real Magazine
Volume	2
Issue number	1
Early online date	27 Jun 2025
DOIs	https://doi.org/10.2218/newreal.10928
Publication status	Published - 27 Jun 2025

Keywords

Digital art
Environmental action
Artificial Intelligence
Climate change

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.2218/newreal.10928Licence: CC BY

Zeilinger_RespondingToGlobalChallenges_Published_2025Final published version, 191 KBLicence: CC BY

1 Conference contribution
1 Web publication/site

Responding to COVID-19 and the Climate Emergency through data-driven art
Zeilinger, M., 22 Mar 2022
Research output: Non-textual form › Web publication/site

Open Access
Towards a heuristic model for experiential AI: analysing the Zizi Show in the new real
Hemment, D., Zeilinger, M., Vidmar, M., Elwes, J., Warner, H., Pérez, D. S. & Hill, R., 25 Jun 2022, Proceedings of DRS2022 Bilbao: Design Research Society International Conference. Lockton, D., Lenzi, S., Hekkert, P., Oak, A., Sadaba, J. & Lloyd, P. (eds.). London: Design Research Society, 17 p. (DRS Biennial Conference Series).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
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Cite this

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title = "Responding to global challenges through data-driven art",

abstract = "Researcher and curator Martin Zeilinger discusses a landscape review of AI art and artists in the context of responding to global challenges through data-driven art.",

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AB - Researcher and curator Martin Zeilinger discusses a landscape review of AI art and artists in the context of responding to global challenges through data-driven art.

U2 - 10.2218/newreal.10928

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Responding to global challenges through data-driven art

Abstract

Keywords

UN SDGs

Access to Document

Fingerprint

Research output

Responding to COVID-19 and the Climate Emergency through data-driven art

Towards a heuristic model for experiential AI: analysing the Zizi Show in the new real

Cite this