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Evaluating the challenge of ‘fake news’ and other malinformation

Encompassed by the disputed term ‘fake news’, overtly or covertly biased, skewed, or falsified reports claiming to present factual information present a critical challenge to the effective dissemination of news and information across society.This ARC Discovery project in the QUT Digital Media Research Centre conducts a systematic, large-scale, mixed-methods analysis of empirical evidence on the dissemination of, engagement with, and impact of ‘fake news’ and other malinformation in public debate, in Australia and beyond. It takes a triangulated approach, combining …

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

Computational drug repurposing for neuropsychiatric disease

While hundreds of robust genetic associations have been found for neuropsychiatric disease (such as schizophrenia, major depression, and anxiety) understanding the exact molecular mechanisms leading to disease onset and progression remains challenging. Inherited (i.e. genetic) risk factors for many neuropsychiatric diseases converge on genes that are co-ordinately expressed (co-expressed) in a disease-relevant tissue (e.g. brain). The study of how genetic risk factors affect co-expressed genes (i.e. gene co-expression analysis) has the potential to uncover new biological processes underlying disease onset. …

Study level
Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Measuring higher education performance: a global comparisons using network data envelopment analysis

The research objective focuses on comparing the top 100 universities (according to the Times Higher Education) from 2010 to 2020. The objective of the project is fourfold. First, to derive appropriate research outputs per university. Second, employ a Network DEA approach to identify (in)efficiencies within the network. Third, to measure productivity change of universities using the Fare-Primont index. Fourth, to determine sources of (in)efficiencies and productivity.This project is both theoretical and applied. The applicant should possess strong mathematical and computational …

Study level
PhD
Faculty
Faculty of Business and Law
School
School of Economics and Finance

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