QUT offers a diverse range of student topics for Honours, Masters and PhD study. Search to find a topic that interests you or propose your own research topic to a prospective QUT supervisor. You may also ask a prospective supervisor to help you identify or refine a research topic.
Found 45 matching student topics
Displaying 13–24 of 45 results
Leader transgressions in organisations
Broadly, this research theme looks into the effects of leader transgressions (e.g., misconduct, misbehaviour, deviance) on workers within organisations.More specifically, adopting a social identity approach, projects within this theme may examine the following questions:How does the organisational level of the leader influence the effects of their transgression on workers?How do workers' identity configurations affect whether they respond to leader transgressions?How does the type and target of the leader transgression influence the way workers respond to the transgression?
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Management
An identity-based approach to entrepreneurial education
Entrepreneurs are motivated by their passion to create solutions. How they define themselves shape the purpose of their start up and influence their decision matrix on a daily basis. This research program aims to design and evaluate various development approaches to support entrepreneurs journey.
- Study level
- PhD
- School
- School of Management
- Research centre(s)
- Centre for Future Enterprise
Investigating effectiveness of local government social media channels
As social media becomes more intertwined into our daily lives, having an online presence on social media has become common not just in the private but also in the public sectors. The use of social media in local governments has shown great potential in terms of improving the efficiency and effectiveness of citizen-government communication. It has also been effective in terms of increasing citizen engagement and participation. Therefore, this research project seeks to discover how do local governments leverage the …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Understanding public perceptions of the sustainable energy transition: a social network analysis
The challenge to keep global warming to 1.5°C above pre-industrial levels has become even greater due to a continued increase in greenhouse gas emissions (IPCC, 2023). One major challenge is the shift from fossil fuels to renewable energy to reduce emissions (Gholami et al., 2016). The share of renewable energy in electricity generation has increased to 28.3%, however, an acceleration of the pace of the transition is required to limit global temperature rise (REN21, 2022).In this project we investigate public …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Alignments In Process Mining and Social Sequence Analysis
In process mining, we perform computational analyses of sequential data in order to help organisations improve, in settings from ride-sharing platforms to government departments. In social sequence analysis, we perform computational analysis on sequential data to understand small or large structures in society, such as the progress of careers of 18th century German musicians, or the progress of nations through different stages of economic development.In both process mining and social sequence analysis, calculation of "alignments" for is a key technique …
- Study level
- Honours
- School
- School of Information Systems
The role of childhood social-emotional learning competencies in adolescent health, education, and justice outcomes
This project aims to determine the relationship of childhood social-emotional competencies (particularly those developed by school-based social-emotional learning programs) with adolescent health, education, and justice outcomes. The project uses data from the NSW Child Development Study, a longitudinal study following the development of 91,597 children in NSW from birth.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Psychology and Counselling
Understanding urban complexity for climate resilience
Addressing the urgent need for community resilience amid escalating climate risks, including floods, extreme heat, and bushfires, is crucial for burgeoning cities. These cities comprise intricate networks of social, ecological, physical, and technological subsystems with structural and functional interdependencies. Understanding this complexity is vital for evaluating a city's resilience to climate risks and formulating effective policies and planning strategies. By applying complexity science principles, researchers can illuminate the dynamic relationships within these networks, revealing opportunities for sustainable urban development and …
- Study level
- PhD
- School
- School of Architecture and Built Environment
- Research centre(s)
-
Centre for the Environment
Corporate social and environmental performance information and related accountability practices
Due to stakeholder attention, companies are increasingly disclosing social and environmental performance information within their annual and corporate social responsibility (CSR) reports.OutcomesThis study will investigate whether these disclosures reflect real performance, and thereby create accountability practices by corporations. Both Australian and international companies are the focus of this project.The project considers both qualitative and quantitative methods.
- Study level
- Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
PHSW01 - A systematic review of internet-based interventions for supporting teachers’ mental health and wellbeing
The teaching profession is a rewarding yet intensive occupation, with teachers being at increased risk of mental health disorders. Poor mental health does not only affect the wellbeing of teachers but can also have ramifications on the health and wellbeing of students with whom teachers interact (Harding et al., 2019). Although there is a large body of research that focuses on student mental health and wellbeing, less attention has been given to understanding mental health interventions targeting teachers. Furthermore, despite …
- Study level
- Honours
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
Climate change and trustees: powers, duties, responsibilities and liabilities
Trustees have a duty to act in the best interests of beneficiaries. In particular, it has been held that “(w)hen the purpose of the trust is to provide financial benefits for the beneficiaries, as is usually the case, the best interests of the beneficiaries are normally their best financial interests.” (Cowan v Scargill [1985] 1 Ch 270 at 286 per Megarry VC) This may require consideration of not only the economic well-being of the trust fund more generally, but also …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Law
- Research centre(s)
-
Australian Centre for Health Law Research
Representation learning for anti-microbial resistance
This project is about using neural network models help us understand Anti-Microbial Resistance (AMR), a phenomenon in which bacteria adapt to reduce the effectiveness of antibiotics, usually through a process known as Lateral or Horizontal Gene Transfer - where genes are included in the organism from other sources.Our focus will be on learning compact vector representations of biological sequences known to be associated with AMR genes. By encoding DNA sequences in this way we can more rapidly identify AMR genes …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Hierarchical visualisation of large social networks
Networks have been extensively used to capture social interactions, by representing individuals as nodes and their relationships as edges.Such networks have been used to model the spread of epidemics. A few nodes are 'infected', and over time they gradually infect their neighbours on the network, who in turn infect their neighbours, etc. This type of model can then be used to simulate different intervention strategies aimed at containing outbreaks.However, an important limitation is the difficulty to visualise these networks when …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Contact us
If you have questions about the best options for you, the application process, your research topic, finding a supervisor or anything else, get in touch with us today.