Dr Dan McQuillan
Staff details
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)
Publications and research outputs
Book Section
McQuillan, Daniel. 2021. Post-Humanism, Mutual Aid. In: Pieter Verdegem, ed. AI for Everyone? Critical Perspectives. London: University of Westminster Press, pp. 67-84. ISBN 9781914386169
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
McQuillan, Daniel. 2020. Artificial Intelligence. In: Martin Parker, ed. Life After COVID-19: The Other Side of Crisis. Bristol University Press. ISBN 9781529215397
McQuillan, Daniel. 2019. Non-fascist AI. In: Maria Hlavajova and Wietske Maas, eds. Propositions for Non-Fascist Living: Tentative and Urgent. Cambridge, Massachusetts: MIT Press. ISBN 9780262537896
Article
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
Featured publications
2020:
Life After COVID-19 The Other Side of Crisis (Bristol University Press)
Book chapter on 'AI after the pandemic'
2019:
Propositions for Non-Fascist Living - Tentative and Urgent (MIT Press)
Book chapter on 'Non-fascist AI'
2018:
People’s Councils for Ethical Machine Learning
In ' Social Media + Society'
2017:
Data Science as Machinic Neoplatonism
In 'Philosophy & Technology'
2016:
Algorithmic paranoia and the convivial alternative
In ' Big Data & Society'
Goldsmiths Research Centres/Groups
- Goldsmiths Academic Board (elected member)
- Racism in Computing Working Group
