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

Research output: Non-textual form › Web publication/site

Abstract

Martin Zeilinger discusses a survey of AI artists that informed AWEN and The New Real Observatory

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

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title = "Responding to COVID-19 and the Climate Emergency through data-driven art",

abstract = "Martin Zeilinger discusses a survey of AI artists that informed AWEN and The New Real Observatory",

author = "Martin Zeilinger",

year = "2022",

month = mar,

day = "22",

language = "English",

publisher = "The New Real",

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TY - ADVS

T1 - Responding to COVID-19 and the Climate Emergency through data-driven art

AU - Zeilinger, Martin

PY - 2022/3/22

Y1 - 2022/3/22

N2 - Martin Zeilinger discusses a survey of AI artists that informed AWEN and The New Real Observatory

AB - Martin Zeilinger discusses a survey of AI artists that informed AWEN and The New Real Observatory

M3 - Web publication/site

PB - The New Real

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