CHANSE Call Partner Search Tool


This is a match-making section for CHANSE Transformations: Social and cultural dynamics in the digital age.

General Information

  • Type: Partner looking for project
  • Organisation: University of Sussex
  • Country: United Kingdom (UK)

Research area

  • Call topics:
    • Cultural Transformations in the Digital Age
    • Digitalisation and Social Transformation
  • Keywords:

    Artificial Intelligence; Digital Humanities; Machine Learning; Explainability; Knowledge

  • Brief description of your expertise / expertise you are looking for:

    In my work I research the theoretical and medium-specific challenges of understanding digital and computational media, particularly algorithms, software and code. My work draws on digital humanities, critical theory, political economy, social theory, software studies, and the philosophy of technology. As Professor of Digital Humanities, I am particularly interested in how computation is being incorporated into arts and humanities and social science practice. In relation to this I am currently questioning the way in which artificial intelligence and machine-learning are articulated in relation to arts and humanities knowledges – particularly notions of augmentating, automating and informating. More particularly I am interested in how knowledge, organisation and computation are formed into a new constellation of power. My work examines how these systems are legitimated and the orders of justification around them, together with the potential of concepts such as explainability for providing immanent critique and the space for practices of critical reason.

  • Brief description of your project / the project you would like to join:

    A project involved in AI/ML particularly in relation to challenges posed by automated decision systems, digital humanities or changing relationships between humans and machines. Particularly, explainability, understanding and culture related to ML systems.

Contact details

David Berry

Submitted on 2021-03-10 17:18:14

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