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Transforming media industries

The Transforming Media Industries research program in the Digital Media Research Centre investigates how the business practices and cultural dynamics of media industries are adapting to profound transformations in the production, distribution, consumption, and regulation of media content in local and global contexts. We examine the operations of power and the potential for innovation, focusing especially on the implications they pose for media makers, the media they make, and their social consequences across the film, television, games, music, news, and …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Communication
Research centre(s)
Digital Media Research Centre

Machine learning for understanding and predicting behaviour

Understanding behaviour and predicting events is a core machine learning task, and has many applications in areas including computer vision (to detect or prediction actions in video) and signal processing (to detect events in medical signals).While a large body of research exists exploring these tasks, a number of common challenges persist including:capturing variations in how behaviours or events appear across different subjects, such that predictions can be accurately made for previously unseen subjectsmodelling and incorporating long-term relationships, such as previously …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

New technology and the law

Computer vision has developed to a point where machines using artificial intelligence are better and faster than humans at performing many vision-related tasks. For example, we are now often processed through customs based solely on face recognition software. Add to this the fact that the average Australian is photographed on CCTV cameras around 75 times per day. Commercial applications of face recognition technology include Microsoft's Face Application Programming Interface that can be used to classify face images based on gender, …

Study level
PhD, Master of Philosophy
Faculty
null
School
null
Research centre(s)
null
null

Making TV Australian in the 21st Century

This PhD project will be affiliated with the Making TV Australian in the 21st Century Discovery Project and the Transforming Media Industries research program within the Digital Media Research Centre.The PhD project should align with inquiry related to the changing dynamics of television production and the 'nationing' role of television. Existing practices designed to enable Australian television to achieve national cultural and economic objectives have been deeply transformed by the impact of technological change and foreign ownership. This project investigates …

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Communication
Research centre(s)
Digital Media Research Centre

Decision modelling in blockchain adoption and environmental implications

Due to the decentralised and immutable nature of distributed ledger systems, blockchain has become a critical priority for organisations across the world. The global blockchain market is expected to grow from $1.57 billion in 2018 to $162.84 billion by 2027.From an ecological perspective, blockchain has raised environmental concerns due to increasing computational power that is required to operate energy-intensive consensus mechanisms. However, it also has the potential to help promote renewable energy through a variety of blockchain-based use cases such …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Information Systems

Decision modelling to overcome intergenerational discounting

This project aims to address a key obstacle to climate action: intergenerational discounting, a phenomenon that explains the tendency for people to prefer smaller benefits for themselves now, rather than larger benefits for future generations. Intergenerational discounting becomes even more problematic due to a growing global population and increasingly intensive use of natural resources.In this project, we follow the design science approach and aim to establish design principles necessary for decision modelling to overcome intergenerational discounting and achieve genuine and …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Information Systems

Modelling and managing uncertain Antarctic species networks

Antarctic ecosystems are complex, and data is limited since it is expensive to collect. Species including penguins, seabirds, invertebrates, mosses, and marine species interact in food webs which can be modelled as mathematical networks. These networks can be large, span across terrestrial and marine systems, and are changing in response to environmental changes.These ecological networks can be modelled using differential equation predator prey models like Lotka-Volterra to describe these interactions. However, the relationships between species are not always known, or …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Optimal conservation management in uncertain Antarctic environments

Species and ecosystems in Antarctica are threatened. Optimal biodiversity conservation is an interdisciplinary field combining mathematical modelling and optimisation with ecology and conservation. We can use mathematics to understand the system, model how management actions might impact it, and then optimise which actions should be used. For example, we can explore where protected areas should be placed, how species should be managed, or how tourist impacts should be reduced. However, the complexities of conservation in Antarctica necessitate the application of …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Modelling and managing uncertain Antarctic species networks

Antarctic ecosystems are complex, and data is limited since it is expensive to collect. Species interact in food webs which can be modelled as mathematical networks. The relationships between species are not always known, or we might know they interact but not how strongly. Noisy (or imperfect) data can be used to model these species interactions to give more certainty about how the ecosystem works as a whole – although the worse the data is, the less information it contributes. …

Study level
Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Mathematically optimising value of information for biodiversity management

When planning environmental management, data are only valuable if they lead to improved outcomes. As new monitoring technologies and approaches are developed, it is critical that they are used optimally to focus on the most important information gaps.Monitoring technologies should only be adopted if they can deliver improved management utility, and new data should be rapidly gathered in locations where early information could offer warning signals of future ecosystem change. Mathematical and statistical approaches to assessing the value of new …

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Optimal ecosystem management in rapidly changing systems

Delays in acting in collapsing ecosystems can be catastrophic. With every passing year, the chances that the ecosystem has progressed past some point of no return increases. Yet the research and development needed to develop a new technology can take a long time. Balance between these two dynamic processes is needed to determine the optimal length and effort for developing new technologies. This project will develop a method for finding the optimal schedule for developing technological readiness, social acceptability, a …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Mathematical modelling of ecosystem feedbacks and value-of-information theory

Ecosystems respond to gradual change in unexpected ways. Feedback processes between different parts of an environment can perpetuate ecosystem collapse, leading to potentially irreversible biodiversity loss. However, it is unclear if greater knowledge of feedbacks will ultimately change environmental decisions.The project aims to identify when feedbacks matter for environmental decisions, by generating new methods that predict the economic benefit of knowing more about feedbacks. Combining ecological modelling and value-of-information theory, the outcomes of these novel methods will provide significant and …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

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