Join us for the ❤️ Summer of Love ❤️ grand finale, featuring Dominic Pettman (The New School) in conversation with Sarah Cefai (Goldsmiths). We will talk about economies and ecologies of desire vis-à-vis current political, technological and environmental challenges.
In the next episode of the ❤️ Summer of Love ❤️ Adrienne Evans (University of Coventry) and Shuaishuai Wang (University of Amsterdam) explore postdigital cultures of intimacies and their interplay with algorithmic configurations of gender and sexuality. Join them and Carolina Bandinelli (University of Warwick) for the next episode of the Summer of Love.
July, 8th 16:00 17:30 BST
The ❤️ Summer of Love❤️ continues with Lik Sam Chan (Chinese University of Hong Kong) and Jamie Hakim (King's College London). Their research projects focus on dating apps and their relationships to different sexual scenes and identities. Join them and Carolina Bandinelli (University of Warwick) to further explore the political and cultural implications of digital intimacies.
June, 9th 15:00-16:30 BST
A Matinée with robots (Summer of Love Series)
Kate Devlin (King's College London) and Belinda Middleweek (The University of Technology Sidney) have extensively researched the ways in which we interact with robots, and how this may affect the future of love, sex and care. Bring a cup of coffee to join them and Carolina Bandinelli (University of Warwick) in the next episode of the ❤️ Summer of Love ❤️ dialogues.
June, 3rd 10:00 - 11:30am BST
Our ❤️ Summer of Love ❤️ launch event features Mark Deuze (University of Amsterdam) and Ania Malinowska (University of Silesia). In their research, both Mark and Ania are looking at the entanglement between love and digital technologies. Join them and Carolina Bandinelli (University of Warwick) to dwell on and wonder about how media make us love, and how love makes media.
May, 13th 16:00 - 17:30 BST
Date: May 11, 2021
Time: 10:00am - 1pm (BST)
Facilitator: Daniel van Strien (British Library)
Over the last 10 years, the field of computer vision, which seeks to gain a high-level understanding of images using computational techniques, has seen rapid innovation. This workshop will begin with an overview of how these methods have been applied to humanities research, including examples drawn from the Living with Machines project. The second half of the workshop will provide a hands-on overview of the process of creating an image classifier using deep learning-based computer vision methods.