Overview
Background
I am an independent researcher and advisor affiliated with The University of Queensland’s Centre for Policy Futures. My work focuses on how pricing, incentives and other signals are interpreted in regulated markets, and how signalling can produce unintended economic, behavioural and policy outcomes. I apply these frameworks to areas such as alcohol and no and low alcohol (nolo) beverage markets, and technology-affected markets more generally. I work at the intersection of economic behaviour, public policy and communication, developing frameworks that support better regulatory design, pricing strategy and clearer decision-making.
Availability
- Dr Cameron Shackell is:
- Not available for supervision
- Media expert
Fields of research
Research impacts
My research helps governments, industry and the public understand how pricing, incentives and other policy and market signals influence behaviour in regulated markets and other real-world settings. My policy-relevant analysis has supported evidence-informed public debate and organisational decision-making, including through public scholarship in The Conversation and other major outlets.
Works
Search Professor Cameron Shackell’s works on UQ eSpace
2026
Other Outputs
Finite Semiotics: A New Theory of Semiotics With Applications to Information Technology
Shackell, Cameron W (2026). Finite Semiotics: A New Theory of Semiotics With Applications to Information Technology. doi: 10.5204/thesis.eprints.130796
2021
Journal Article
Is Genericness Still Adequately Defined? Internet Search Firms and the Economic Rationale for Trademarks
Shackell, Cameron (2021). Is Genericness Still Adequately Defined? Internet Search Firms and the Economic Rationale for Trademarks. Science, Technology, & Human Values, 48 (3), 582-605. doi: 10.1177/01622439211055482
2021
Journal Article
Quantifying the genericness of trademarks using natural language processing: an introduction with suggested metrics
Shackell, Cameron and De Vine, Lance (2021). Quantifying the genericness of trademarks using natural language processing: an introduction with suggested metrics. Artificial Intelligence and Law, 30 (2), 199-220. doi: 10.1007/s10506-021-09291-7
2019
Journal Article
Computational opposition analysis using word embeddings: A method for strategising resonant informal argument
Shackell, Cameron and Sitbon, Laurianne (2019). Computational opposition analysis using word embeddings: A method for strategising resonant informal argument. Argument & Computation, 10 (3), 301-317. doi: 10.3233/aac-190467
2019
Journal Article
Finite semiotics: cognitive sets, semiotic vectors, and semiosic oscillation
Shackell, Cameron (2019). Finite semiotics: cognitive sets, semiotic vectors, and semiosic oscillation. Semiotica, 2019 (229), 211-235. doi: 10.1515/sem-2017-0127
2019
Journal Article
Finite semiotics: recovery functions, semioformation, and the hyperreal
Shackell, Cameron (2019). Finite semiotics: recovery functions, semioformation, and the hyperreal. Semiotica, 2019 (227), 211-226. doi: 10.1515/sem-2016-0153
2019
Conference Publication
Introducing quantitative cognitive analysis: ubiquitous reproduction, cognitive diversity and creativity
Shackell, Cameron and Bruza, Peter (2019). Introducing quantitative cognitive analysis: ubiquitous reproduction, cognitive diversity and creativity. The Cognitive Science Society.
2018
Journal Article
Finite cognition and finite semiosis: A new perspective on semiotics for the information age
Shackell, Cameron (2018). Finite cognition and finite semiosis: A new perspective on semiotics for the information age. Semiotica, 2018 (222), 225-240. doi: 10.1515/sem-2018-0020
2018
Conference Publication
Cognitive externalities and hci: Towards the recognition and protection of cognitive rights
Shackell, Cameron and Sitbon, Laurianne (2018). Cognitive externalities and hci: Towards the recognition and protection of cognitive rights. Association for Computing Machinery. doi: 10.1145/3170427.3188405
Media
Enquiries
Contact Dr Cameron Shackell directly for media enquiries about:
- AI and creativity
- AI and the economy
- beverage pricing and marketing
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