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Windle, Amanda (2010) Design Re-enactments in Audio. In: Practicing Science and Technology, Performing the Social, 2nd-4th Sept 2010, University of Trento, Italy. (Unpublished)
Windle, Amanda (2011) Inscribing Complexity: Diagrammatic Interventions. In: Visualisation in the Age of Computerization, 25-26 March 2011, Saïd Business School, Oxford University.
Windle, Amanda (2011) Territorial Violence and Design, 1950-2010: A Human-Computer Study of Personal Space and Chatbot Interaction. PhD thesis, University of the Arts London with Surrey University.
Windle, Amanda (2012) Design for prevention and the promises of automated things: two fictional accounts of misanthropic agency from the elevator (lift) to the sexbot. In: CRESC Conference 2012 Promises: Crisis and Socio-Cultural Change, 4th - 7th September 2012, Manchester.
Windle, Amanda (2012) Video interview on enterprise and research at the DigiLab. Co-Creating the Future.
Shepperd, Martin and Song, Qinbao and Sun, Zhongbin and Mair, Carolyn (2013) Data Quality: Some Comments on the NASA Software Defect Data Sets. IEEE Transactions on Software Engineering, 39 (9). pp. 1208-1215. ISSN 0098-5589
Windle, Amanda (2014) Automation and design for prevention: Fictional accounts of misanthropic agency from the elevator (lift) to the sexbot (chatbot). Technoetic Arts, 12 (1). pp. 91-106. ISSN 1477-965X
Eden, Michael (2016) I Can’t Do that, Dave. Artificial Intelligence, Dada and the Ethics of Perception. Trebuchet Magazine.
Eden, Michael (2016) Stimulating the Simulcra. Can Humans be Trusted With Artificial Intelligence? Trebuchet Magazine.
Eden, Michael (2016) Sure we can, but SHOULD we? Digital Head and the Ethics of Intelligence. Trebuchet Magazine.
Zbyszynski, Michael and Grierson, Mick and Yee-King, Matthew and Fedden, Leon (2017) Write once run anywhere revisited: machine learning and audio tools in the browser with C++ and emscripten. In: Web Audio Conference 2017, 21 - 23 August 2017, Queen Mary University of London, United Kingdom.
Revell, Tobias (2018) Synthesising Obama. [Art/Design Item]
Marenko, Betti (2018) FutureCrafting. A Speculative Method for an Imaginative AI. In: AAAI Spring Symposium Series. Technical Report SS-18. Association for the Advancement of Artificial Intelligence, Palo Alto, California, pp. 419-422. ISBN 978-1-57735-795-7
Hassani, H. and Huang, X. and Silva, E.S. (2018) Banking with blockchain-ed big data. Journal of Management Analytics, 5 (4). pp. 256-275. ISSN 2327-0012
Hassani, H. and Huang, X. and Silva, E.S. (2018) Big-Crypto: Big Data, Blockchain and Cryptocurrency. Big Data and Cognitive Computing, 2 (34). ISSN 2504-2289
Dada, Maria (2018) Social Wealth Funds And An Avant-Garde Blockchain Accounting System. Autonomy. ISSN 2515-9852
Abdulla, Danah and Prado de O. Martins, Luiza and Schultz, Tristan (2018) Decolonising Design Education: Ontologies, Strategies, Urgencies. In: Extra-Curricular. Platform Editions, Chicago.
Revell, Tobias and Goatley, Wesley and Peters, Charley (2019) Charismatic Megapigment. [Art/Design Item]
Dada, Maria (2019) Digital Models: Cannibalising the Remnants of the Map. Machine Feeling: A Peer-Reviewed Newspaper, 8 (1). ISSN 2245-7593
Broad, Terence and Grierson, Mick (2019) Searching for an (un)stable equilibrium: experiments in training generative models without data. In: Machine Learning for Creativity and Design, December 14t 2019, NeurIPS 2019 Workshop, Vancouver, Canada.
Vigliensoni, Gabriel and McCallum, Louis and Fiebrink, Rebecca (2020) Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data. In: International Conference on Computational Creativity (ICCC), 7-11 September 2020.
Fiebrink, Rebecca and Sonami, Laetitia (2020) Reflections on Eight Years of Instrument Creation with Machine Learning. In: International Conference on New Interfaces for Musical Expression (NIME), 21-25 July 2020, Birmingham, UK.
Bernardo, Francisco and Zbyszynski, Michael and Grierson, Mick and Fiebrink, Rebecca (2020) Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology. Frontiers in Artificial Intelligence, 3. ISSN 2624-8212