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 a Lecturer in Creative & Social Computing at Goldsmiths College, University of London. He has a PhD in Experimental Particle Physics, and prior to academia he worked as Amnesty International's Director of E-communications. Recent publications include 'Algorithmic States of Exception', 'Data Science as Machinic Neoplatonism' and 'Algorithmic Paranoia and the Convivial Alternative'. He is co-founder of Science for Change Kosovo.

Latest information about Dan's teaching, research, talks and events can be found at his Department of Computing homepage.


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

McQuillan, Daniel. 2017. Data Science as Machinic Neoplatonism. Philosophy & Technology, pp. 1-20. ISSN 2210-5433

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

McQuillan, Daniel. 2016. The Anthropocene, Resilience and Post-Colonial Computation. Resilience: International Policies, Practices and Discourses, 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

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