Beverley Hood profile picture

Job title:

Reader in Technological Embodiment and Creative Practice

Biography

Beverley is an artist and Reader in Technological Embodiment and Creative Practice at Edinburgh College of Art, University of Edinburgh. She studied Sculpture and Electronic Imaging at Duncan of Jordanstone College of Art, Dundee and Nova Scotia College of Art & Design, Halifax, Canada.

Her research practice interrogates the impact of technology on relationships, the body and human experience, through the creation of practice-based projects and writing. A longstanding research interest is live performance using technology and interdisciplinary collaboration. She has developed projects involving a range of practitioners, including medical researchers, scientists, writers, technologists, dancers, actors and composers.

She is currently Co-Investigator on the UKRI BRAID (Bridging Responsible AI Divides) programme, a six-year national research programme (2022-2028) funded by the UKRI Arts and Humanities Research Council (AHRC), led by the University of Edinburgh in partnership with the Ada Lovelace Institute and the BBC.

She previously held the role of Director of Research in Design from 2018 – 2023, was Unit of Assessment REF Coordinator for Design from 2019-2021 and the ECA Representative for the Centre for Data, Culture and Society from 2018 - 2023. Her teaching responsibilities include PhD students across Design and ECA.

She is a member of research groups at the University of Edinburgh including RAFT (materiality and digital technologies), Experiential AI, the Centre for Creative and Relational Inquiry, and the Performance Research Network.

Current PhD students

Matthew Attard

Eye drawing world views: an exploratory practice into eye drawing from life

Emily Beaney

Shimmers of Silence: Inequalities, Illness and Affect

Gregg S. Lloren

De-Framing Time and Space: Towards a Kineiconic Application of 360° Immersive Technologies in the Reconstruction of Memory

Jiarong Yu

Towards Person-Centred STEAM: Embodied Learning Design through Human-AI Collaboration

PhD Supervision Topics

  • Art and technology
  • AI and art
  • Art and science
  • Art and medicine
  • performance​

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