Masterclass: Critical Media Art and the ‘Cloud’


Date: 21st Feb at 12pm

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Join us for the next in the masterclass series run by the Centre for Creative Technologies. This talk will provide an overview of ‘critical’ media artists who engage with issues associated with contemporary algorithmic culture including surveillance, data sovereignty and the environmental impacts of information communication technologies within their practices. These artists are influenced by subfields of media theory including tactical media, critical making and media archaeology.

Following this, Paul will document a series of his ongoing practice-based work which focuses on the relationship between the physical and corporate infrastructures of the internet in Ireland and beyond, including Dublin Infrastructure Tour (2018 – 2023), Greetings from… (2022) and we are all going to make it (in progress). This work draws on the aforementioned subfields of media theory and spans a wide range of creative practices and techniques including countermapping, open source intelligence, remix and culture jamming.

Participants are encouraged to bring a connected device (laptop, smartphone, tablet) as the talk will conclude with a short exercise focusing on mapping networked infrastructure – no technical expertise required.

Speaker Bio

Dr Paul O’ Neill is a postdoctoral researcher at the ADAPT Centre for AI-Driven Technologies in University College Dublin. His practice and research is concerned with the implications of our collective dependency on networked technologies and infrastructures. He has exhibited and presented his work at numerous cultural institutions and events including Science Gallery (Ireland), Ars Electronica (Austria), Inspace (Scotland) and NeMe (Cyprus), and his research has featured in publications from the Institute of Network Cultures and ANNEX – Ireland’s representative at the 2021 Venice Architecture Biennale.Paul is also the research lead for the Beta Festival of Art & Technology and co-curator of the Dublin Art & Technology Association (DATA).