- Code REGN8049
- Unit Value 3 units
- Offered by School of Regulation and Global Governance
- ANU College ANU College of Asia and the Pacific
- Course subject RegNet
- Areas of interest Anthropology, Law, Policy Studies, Sociology
- Academic career PGRD
- Dr Kate Henne
- Mode of delivery In Person
Winter Session 2022
See Future Offerings
Technological innovation has transformed everyday life and disrupted established industries. Artificial intelligence, big data, blockchain, machine learning, industry 4.0, the Internet of Things and synthetic biology are not simply buzzwords: they impact agriculture, communications, energy, healthcare, hospitality, infrastructure, social welfare and transportation. While disruptive technologies may contribute to positive social change, they can pose risks and dangers if unchecked. This course cultivates the critical skills necessary for assessing strengths, weaknesses, opportunities and threats of emerging technologies and introduces frameworks for developing regulatory responses that can be tailored for particular contexts. It combines theory with practice through collaborative learning techniques, hands-on assessments and case studies from Australia, Asia, Europe, North America and the Pacific. Designed to accommodate students from different backgrounds and career stages, the course is suitable for recent graduates with an interest in technology and society as well as professionals working in government, the private sector and nongovernment organisations.
Upon successful completion, students will have the knowledge and skills to:
- Critically evaluate how different actors, including companies and governments, have managed disruptive social change linked to emerging technologies
- Assess current and possible developments in technology with appropriate regulatory strategies
- Demonstrate an understanding of concepts that explain disruptive technologies and relevant approaches to regulation
- Conduct independent research on regulatory challenges and approaches to appraise the governance of disruptive technologies within a particular domain
- Regulatory Model Assessment (max 1,000 words) (30) [LO 1,2]
- Peer Review of Assessment (Oral and written feedback) (10) [LO 2,3]
- Written Report (e.g. policy brief, White Paper, academic blog) (max 2,000 words) (60) [LO 1,2,3,4]
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Approximately 60 hours comprising seminars as well as associated preparation, independent study, and assessment time.
Actual time required may vary with individual students.
Winner, L. (1980). Do artifacts have politics? Daedalus, 109(1), 106–123.
Bower, J., & Christensen. (1995). Disruptive technologies: Catching the wave. Harvard Business Review, 73(1), 43–53
Danneels, E. (2004). Disruptive technology reconsidered: A critique and research agenda. The Journal of Product Innovation Management, 21(4), 246–258
Latzer, M. (2009). Information and communication technology innovations: Radical and disruptive? New Media & Society, 11(4), 599–619
Kitchen, R. (2014). Big Data, New Epistemologies, Paradigm Shifts. Big Data & Society, 1(1), 1–12
Vaidhyanathan, S. (2018). Antisocial Media: How Facebook Disconnects Us and Undermines Democracy. Oxford University Press
Tusikov, N. (2019). Regulation through “bricking”: Private ordering in the “Internet of Things”. Internet Policy Review, 8(2
Gorwa, R. (2019). The platform governance triangle: Conceptualising the informal regulation of online content. Internet Policy Review, 8(2)
Braithwaite, V. (2020). Beyond the bubble that is Robodebt: How governments that lose integrity threaten democracy. Australian Journal of Social Issues, doi:10.1002/ajs4.122
Vallee, M. (2020). Doing nothing does something: Embodiment and data in the COVID-19 pandemic. Big Data & Society, 7(1)
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