Dr Dan McQuillan

Staff details

Position Lecturer in Creative & Social Computing
Department Computing
Email d.mcquillan (@gold.ac.uk)
Phone +44 (0)20 7 078 5302
Dr Dan McQuillan

Dan is Lecturer in Creative & Social Computing in the Department of Computing. He has a PhD in Experimental Particle Physics, and prior to academia he worked as Amnesty International's Director of E-communications. His research focuses on the resonances between forms of computational operation and their specific social consequences, especially in relation to machine learning & AI. He is currently writing a book on 'AI for the People' for Bristol University Press.

Teaching and Supervision

  • Critical Social Media Practices (PG)
  • Ethical Computing (UG)
  • Social Media, Crowdsourcing & Citizen Sensing (UG)


Book Section

McQuillan, Daniel. 2020. Deep Bureaucracy and Autonomist AI. In: Maria Hlavajova and Sven Lütticken, eds. Deserting from the Culture Wars. Cambridge, MA: MIT Press. ISBN 9780262539432


Weir, Doug; McQuillan, Daniel and Francis, Robert A.. 2019. Civilian science: the potential of participatory environmental monitoring in areas affected by armed conflicts. Environmental Monitoring and Assessment, 191(618), ISSN 0167-6369

McQuillan, Daniel. 2018. Data Science as Machinic Neoplatonism. Philosophy & Technology, 31(2), pp. 253-272. ISSN 2210-5433

McQuillan, Daniel. 2018. People's Councils for Ethical Machine Learning. Social Media + Society, 4(2),

McQuillan, Daniel. 2017. Counter Mapping the Smart City. Livingmaps Review(2),

McQuillan, Daniel. 2017. The Anthropocene, Resilience and Post-Colonial Computation. Resilience: International Policies, Practices and Discourses, 5(2), pp. 92-109. ISSN 2169-3293

McQuillan, Daniel. 2016. Algorithmic paranoia and the convivial alternative. Big Data & Society, 3(2), ISSN 20539517

McQuillan, Daniel. 2015. Algorithmic States of Exception. European Journal of Cultural Studies, 18(4/5), pp. 564-576. ISSN 1367-5494

McQuillan, Daniel. 2014. The Countercultural Potential of Citizen Science. M/C Journal, 17(6),

Meredith, David. 2006. The ps13 Pitch Spelling Algorithm. Journal of New Music Research, 35(2), pp. 121-159. ISSN 0929-8215

Further profile content

Goldsmiths Research Centres/Groups/Projects

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