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Professor of Sociology. ANU College of Arts and Social Sciences. E: Adrian.Mackenzie@anu.edu.au. Flag this profile. Jump to: Biography | Publications | Projects and Grants. Areas of expertise. Sociology And Social Studies Of Science And Technology. Communication Technology And Digital Media Studies. Screen And Media Culture.
The performativity of code: Software and cultures of circulation. A Mackenzie. Theory, Culture & Society 22 (1), 71-92. , 2005. 253. 2005. Taking roles in interdisciplinary collaborations: reflections on working in post-ELSI spaces in the UK synthetic biology community.
Professor Mackenzie is a leading scholar of science and technology studies, media and cultural studies, and social and cultural theory. His current interests focus on network and computational media, digital sociology and innovation in data-related methods.
In this book, Adrian Mackenzie investigates whether machine learning also transforms the practice of critical thinking. Mackenzie focuses on machine learners—either humans and machines or human-machine relations—situated among settings, data, and devices.
Jun 3, 2019 · Adrian MacKenzie is a Professor of Sociology at the Australian National University, Canberra. He is the author of four books, the latest being Machine Learners: Archaeology of a Data Practice (MIT Press, 2017).
Feb 5, 2018 · Professor Mackenzie is a leading scholar of science and technology studies, media and cultural studies, and social and cultural theory. His current interests focus on network and computational media, digital sociology and innovation in data-related methods.
Jun 16, 2015 · Abstract. Retail, media, finance, science, industry, security and government increasingly depend on predictions produced through techniques such as machine learning. How is it that machine learning can promise to predict with great specificity what differences matter or what people want in many different settings?
