Dr Niall Docherty
BA (Goldsmiths), MA (Goldsmiths), PhD (Nottingham)
Information School
Lecturer in Data, AI and Society
Full contact details
Information School
Room C224
The Wave
2 Whitham Road
91Ö±²¥
S10 2AH
- Profile
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I joined the Information School in 2022 as a Lecturer in Data, AI and Society. Prior to this, I completed a PhD in Critical Theory and Cultural Studies at the University of Nottingham, followed by a position as a Postdoctoral Researcher at Microsoft Research Cambridge, MA, within the Social Media Collective. My principal teaching and research interests examine the power relations generated through everyday engagements with technology and the politics of computational design.
Recently, I have been researching how modalities of neoliberal governance, capitalism and (bio)power are expressed in contemporary concerns surrounding ‘living well’ with technology, particularly social media. I am turning this work into a book, under contract with the University of California Press.
Additionally to this, I am a Research Fellow within the Responsible Computing group at the Max Planck Institute for Security and Privacy, Germany. Here I am involved in projects that explore digital well-being, ethical computing, and non-standard epistemological approaches to interdisciplinary collaboration.
- Research interests
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My research interests are:
- Power/Knowledge
- Critical Algorithm Studies
- Critical HCI and Interdisciplinary Theory
- Cultural Studies and Responsible Computing
- Capitalism
- Digital Well-Being
- Neoliberal Responsibilization
I am interested in supervising PhDs in the following areas:
- Foucault, governmentality, subjectivation and digital media
- Sociotechnical systems, power, and discursive materiality
- Nudge, interfaces, and governance through habit
- Neoliberalism and contemporary modes of responsibilization
- Digital well-being
- The politics of social media
- The production of users and hegemonic forms of usership
- Critical Theory and Responsible Computing
I can supervise a wide range of interdisciplinary topics that could involve, for instance, mixed method studies of platforms and their use, qualitative digital research, digital well-being, power, advancing sociotechnical theory, and responsible computational design.
- Publications
- Teaching activities
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INF109 - Digital Media and Society
INF110 - Data Science Foundations and Contexts
INF204 - Ethical Data Management and Governance
INF6033 - Data and Society