A selection of recent research articles and books we have generated that inform this event:
Adams, C., & Thompson, T. L. (2016). Researching a posthuman world: Interviews with digital objects. London: Palgrave Macmillan. https://link.springer.com/book/10.1057/978-1-137-57162-5
Thompson, T.L. (submitted journal article). Using more-than-human approaches to study the politics of AI in the automating of decision making in education.
Adams, C. & Thompson, T. L. (in-press). Interviews with digital objects. In M. Kaufmann & H. M. Lomell (Eds.), Handbook on digital criminology. DeGruyter.
Thompson, T. L. (2023). Researching with, on, in and through the postdigital: Accounting for more-than-humanness. In P. Jandrić, A. MacKenzie, & J. Knox (Eds.), Postdigital research: Genealogies, challenges, and future perspectives. Springer. https://link.springer.com/chapter/10.1007/978-3-031-31299-1_13
Thompson, T. L., & Prinsloo, P. (2022). Returning the data gaze in higher education. Learning, Media and Technology. doi: 10.1080/17439884.2022.2092130 [open access]
Thompson, T. L., & Graham, B. (2021). A more-than-human approach to researching AI at work: Alternative narratives for AI and networked learning. In N. Bonderup Dohn, J.J. Hansen, S.B. Hansen, T. Ryberg, & M. de Laat (Eds.), Conceptualizing and innovating education and work with networked learning (pp. 171-188). Springer. [access via https://dspace.stir.ac.uk/handle/1893/33230]
Thompson, T. L. (2020). Data-bodies and data activism: Presencing women in digital heritage research. Big Data & Society, 7(2). 1-7. https://journals.sagepub.com/doi/full/10.1177/2053951720965613 [open access]
Wilson, A., Watson, C., Thompson, T.L., Drew, V., & Doyle, S. (2017). Learning analytics: Challenges and limitations. Teaching in Higher Education, 22(8), 991-1007. doi: 10.1080/13562517.2017.1332026
Wilson, A., Thompson, T.L., Watson, C., Drew, V., & Doyle, S. (2017). Big data and learning analytics: Singular or plural? First Monday, 22(4). https://firstmonday.org/ojs/index.php/fm/article/view/6872 [open access]
Miranda, D. ESRC Research Project: Emotional AI in Cities: Cross Cultural Lessons from UK and Japan on Designing for An Ethical Life (ES/T00696X/1) https://gtr.ukri.org/projects?ref=ES%2FT00696X%2F1
Miranda D (2024) Carceral surveillance: Data flows within and beyond prison walls. Incarceration, 5. https://doi.org/10.1177/26326663241237966 [open access]
Miranda D & Urquhart L (2024) Exploring Challenges of Biometric AI and Intelligent Facial Surveillance. SSN – Surveillance Studies Network, Ljubljana, 28.05.2024-31.05.2024.
Urquhart L, Miranda D, Connon I & Laffer A (2023) Critically Envisioning Biometric Artificial Intelligence In Law Enforcement. EPSRC TAS Hub. Project Report [open access]
Miranda D (2023) Body-worn cameras, police and citizens: Technologically mediated encounters. Keynote, Technische Universität Berlin, 21.09.2023.
Miranda D (2023) Frontline perceptions of Body-Worn Cameras: tools for transparency in British policing?. In: Privacy, Technology, and the Criminal Process. (ed) Jason Bosland, Joe Purshouse and Andrew Roberts ed. London: Routledge. https://www.taylorfrancis.com/books/edit/10.4324/9781003111078/privacy-technology-criminal-process-joe-purshouse-andrew-roberts-jason-bosland?refId=7de52d6a-9fa0-41f7-91f6-e6a5f2a786b5&context=ubx
Urquhart L, Miranda D & Podoletz L (2022) Policing the smart home: The internet of things as ‘invisible witnesses’. Information Polity, 27 (2), pp. 233-246. https://doi.org/10.3233/ip-211541 [open access]
Bakir V, Ghotbi N, Ho TM, Laffer A, Mantello P, McStay A, Miranda D, Miyashita H, Podoletz L, Tanaka H & Urquhart L (2022) Emotional AI in Cities: Cross‐cultural Lessons from the UK and Japan on Designing for an Ethical Life. In: Carta S (ed.) Machine Learning and the City: Applications in Architecture and Urban Design. London: Wiley, pp. 621-624. https://doi.org/10.1002/9781119815075.ch51
Miranda D & Urquhart L (2018) Policing and the Internet of Things: making daily life visible to Justice?. EUROCRIM 2018 (18th Annual Conference of the European Society of Criminology), Sarajevo, 29.08.2018-01.09.2018.
Miranda D (2015) Criminal Investigation Through the Eye of the Detective: Technological Innovation and Tradition. Surveillance and Society, 13 ( 3/4), pp. 422-436. https://doi.org/10.24908/ss.v13i3/4.5403 [open access]
Prinsloo, P. (2017). Fleeing from Frankenstein’s monster and meeting Kafka on the way: Algorithmic decision-making in higher education. E-Learning and Digital Media, 14(3), 138-163.
Prinsloo, P. (2020). Data frontiers and frontiers of power in (higher) education: A view of/from the Global South. Teaching in Higher Education, 25(4), 366-383.
Prinsloo, P., Khalil, M., & Slade, S. (2024). Vulnerable student digital well‐being in AI‐powered educational decision support systems (AI‐EDSS) in higher education. British Journal of Educational Technology, 55(5), 2075-2092.
Bezerra, L., Brownlee, A. E., et al. (pre-print). How VADER is your AI? Towards a definition of artificial intelligence systems appropriate for regulation. arXiv:2402.05048v2 .https://doi.org/10.48550/arXiv.2402.05048