- Civilian science: the potential of participatory environmental monitoring in areas affected by armed conflicts 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
- Data Science as Machinic Neoplatonism McQuillan, Daniel. 2018. Data Science as Machinic Neoplatonism. Philosophy & Technology, 31(2), pp. 253-272. ISSN 2210-5433
- People's Councils for Ethical Machine Learning McQuillan, Daniel. 2018. People's Councils for Ethical Machine Learning. Social Media + Society, 4(2),
- Counter Mapping the Smart City McQuillan, Daniel. 2017. Counter Mapping the Smart City. Livingmaps Review(2),
- The Anthropocene, Resilience and Post-Colonial Computation McQuillan, Daniel. 2017. The Anthropocene, Resilience and Post-Colonial Computation. Resilience: International Policies, Practices and Discourses, 5(2), pp. 92-109. ISSN 2169-3293
- Algorithmic paranoia and the convivial alternative McQuillan, Daniel. 2016. Algorithmic paranoia and the convivial alternative. Big Data & Society, 3(2), ISSN 20539517
- Algorithmic States of Exception McQuillan, Daniel. 2015. Algorithmic States of Exception. European Journal of Cultural Studies, 18(4/5), pp. 564-576. ISSN 1367-5494
- The Countercultural Potential of Citizen Science McQuillan, Daniel. 2014. The Countercultural Potential of Citizen Science. M/C Journal, 17(6),
- The ps13 Pitch Spelling Algorithm Meredith, David. 2006. The ps13 Pitch Spelling Algorithm. Journal of New Music Research, 35(2), pp. 121-159. ISSN 0929-8215
Dr Dan McQuillan
Lecturer in Creative & Social Computing, author of 'Resisting AI - An Anti-fascist Approach to Artificial Intelligence'
Staff details
After a Ph.D in Experimental Particle Physics, Dan worked with people learning disabilities & mental health issues, created websites with asylum seekers, ran social innovation camps in Georgia, Armenia & Kyrgyzstan, led a citizen science project in Kosova, and worked in digital roles in both Amnesty International and the NHS. He is now a Lecturer in Creative and Social Computing, and recently authored 'Resisting AI - An Anti-fascist Approach to Artificial Intelligence'.
Teaching and supervision
- Critical Social Media Practices (PG)
- Ethical Computing (UG)
- Social Media, Crowdsourcing & Citizen Sensing (UG)
- Critical AI
Featured publications
2024:
AI will create a thousand Post Office scandals
Computer Weekly
2023: Evidence to the House of Lords Inquiry into Large Language Models
2023:
Predicted benefits, proven harms - How AI’s algorithmic violence emerged from our own social matrix
The Sociological Review
Publications and research outputs
Book
- Resisting AI: An Anti-fascist Approach to Artificial Intelligence McQuillan, Daniel. 2022. Resisting AI: An Anti-fascist Approach to Artificial Intelligence. Bristol: Bristol University Press. ISBN 9781529213492
Book Section
- New Digital Technologies, Law, and a Non-Fascist Life? On Global Governance, Digital Networks, and the Molecular Unconscious McQuillan, Daniel; Arvidsson, Matilda and Gandorfer, Daniela. 2024. New Digital Technologies, Law, and a Non-Fascist Life? On Global Governance, Digital Networks, and the Molecular Unconscious. In: Fleur Johns; Gavin Sullivan and Dimitri Van Den Meerssche, eds. Global Governance by Data: Infrastructures of Algorithmic Rule. Cambridge: Cambridge University Press.
- Post-Humanism, Mutual Aid 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
- Deep Bureaucracy and Autonomist AI 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
Article
- Environmental peacebuilding and AI: the case for decomputing McQuillan, Daniel. 2025. Environmental peacebuilding and AI: the case for decomputing. Environment and Security, ISSN 2753-8796
- AI will create a thousand Post Office scandals McQuillan, Daniel. 2024. AI will create a thousand Post Office scandals. Computer Weekly, ISSN 0010-4787
- Predicted benefits, proven harms: How AI’s algorithmic violence emerged from our own social matrix McQuillan, Daniel. 2023. Predicted benefits, proven harms: How AI’s algorithmic violence emerged from our own social matrix. The Sociological Review Magazine, ISSN 2754-1371
Audio
- Trashfuture podcast: Dark Satanic Data Mills feat. Dan McQuillan McQuillan, Daniel. 2023. Trashfuture podcast: Dark Satanic Data Mills feat. Dan McQuillan.
- Machine Learning Street Talk #109 - Dr. DAN MCQUILLAN - Resisting AI McQuillan, Daniel. 2023. Machine Learning Street Talk #109 - Dr. DAN MCQUILLAN - Resisting AI.
- Tech Won't Save Us - Episode #158: Why We Must Resist AI McQuillan, Daniel. 2023. Tech Won't Save Us - Episode #158: Why We Must Resist AI.
Report
- Submission of Evidence to the House of Lords Communications and Digital Committee Inquiry into Large language models McQuillan, Daniel. 2023. Submission of Evidence to the House of Lords Communications and Digital Committee Inquiry into Large language models. Other. UK Parliament, London.
Research projects
ESRC Centre for Sociodigital Futures
Co-lead for AI
