|29 May 2023||14:00 - 17:00||Room SG1, Alison Richard Building, 7 West Road, Cambridge|
Cambridge Digital Humanities is pleased to welcome a team of scholars from the Max Planck Institute’s Digital Visual Studies project at the University of Zürich.
Digital Visual Studies looks at the science, history, culture, and politics of images in and through the digital. It expands Art History towards the Digital Humanities, developing new methodologies and theoretical perspectives, and training a new generation of Digital Visual Humanists.
This informal half-day workshop will include contributions from:
PhD Fellow at DVS, Jason works on multimodal machine learning and embodied AI. His project, Embodied Cognition in Virtual Environments with Diachronic Analysis of Linguistic and Visual Inputs, looks at vision-language navigation AIs to understand the history of the city.
PhD Fellow at DVS, Pepe has a background in signal processing and machine learning. He works on computer vision methods to understand the depiction of light in large digital image collections of early modern European painting.
PhD Fellow at DVS, Valentine has a background in art history and digital humanities. Her project uses computer vision to study the history and iconography of hand-gestures in Renaissance painting.
Darío Negueruela del Castillo
Scientific Coordinator of DVS. Darío has a background as an architectural scholar and practitioner, interested in the relationship between urban form and emotion. His research spans architecture, urbanism, affect, and spatial and visual perception with an emphasis on imagination and spatial agency. Among his current projects are ‘On the Urbanity of Images’ and ‘Multimodality and Digital Apophenia’.
Postdoctoral Fellow at DVS, Eva has a background in computer science and computer vision, with a thesis on “Computational detection of stylistic properties of paintings based on high-level image feature analysis”. Her current work explores deep learning techniques for computational image understanding and multimodal reasoning in the context of visual art.
PhD student at CDH, Tristan has a dual background in art history and computer science. His PhD work focuses on the relationship between art historical formalism and structuralism, and computer vision methods in digital art history – especially around the concept of weaving.
Assistant Professor at CDH and associate at DVS, Leonardo has a background in computer science but now works on digital art history and the visual cultures of computer vision. His current projects look at multimodal foundation models in the history of art, and at the implicit visual ideologies of neural architectures.
“Infectious images and viral networks: the digital afterlife of Rembrandt’s The Anatomy Lesson of Dr Nicolaes Tulp“.
Isaac Newton Trust Postdoctoral Research Fellow at CDH, Annja’s cross-disciplinary practice as research explores the staging of public spaces, particularly medical spaces, in relation to questions of agency. Her work crosses the Digital Humanites, the Medical Humanities, Cultural Anthropology, History of Art and Performance Studies. The Tulp Project seeks to show how the connections between these research fields are crucial to expand our understanding of how digital technology transforms modes of embodiment, forms of narration, and the economy of actors in various theatres of medicine, real and imagined.
PhD fellow at DVS, Ludovica has a background in digital humanities and computer science. Her interests include digital art history, synthetic data in art history, and deep learning approaches to art authentication. Her PhD project, Critical Visual Theory of the Latent Space, investigates the nature and nurture of latent spaces, with the aim of formulating a theory of this particular vectorial space. It draws together reflections on the inherent constraints of latent spaces in particular architectures, and considers the learning-specific features that emerge.
If you have specific accessibility needs for this event please get in touch and we will do our best to accommodate any requests.