Harnessing Business Insights from Unstructured Customer Data. Resulting from customers’ widespread uptake of online channels to buy and communicate has been a surge in online reviews and social media posts. This textual information offers a viable alternative to surveys that Australian businesses currently conduct to obtain customer insights. However, these reviews are unstructured and require substantial pre-processing to extract underlying customer perceptions. Therefore, this project aims to ....Harnessing Business Insights from Unstructured Customer Data. Resulting from customers’ widespread uptake of online channels to buy and communicate has been a surge in online reviews and social media posts. This textual information offers a viable alternative to surveys that Australian businesses currently conduct to obtain customer insights. However, these reviews are unstructured and require substantial pre-processing to extract underlying customer perceptions. Therefore, this project aims to develop a novel machine learning approach to quantify the business-relevant information contained in textual information shared by customers online. This alternative approach will provide significant cost-saving benefits for a range of Australian companies, such as retailers, hotels, airlines and restaurants.Read moreRead less
Emotions and Employee Turnover: New Methods for Complex Dynamic Systems. This project aims to vastly improve the data-analytic capabilities of social and health researchers, while increasing knowledge about emotion dynamics and their link to employee turnover. By drawing on and advancing methods from ecology and applied physics, this project plans to investigate the role that individual emotions play in employee turnover with new quantitative methods for characterising and testing causality in c ....Emotions and Employee Turnover: New Methods for Complex Dynamic Systems. This project aims to vastly improve the data-analytic capabilities of social and health researchers, while increasing knowledge about emotion dynamics and their link to employee turnover. By drawing on and advancing methods from ecology and applied physics, this project plans to investigate the role that individual emotions play in employee turnover with new quantitative methods for characterising and testing causality in complex dynamic systems. The expected outcomes include an improved capacity for researchers, managers, and policy makers to understand complex organisational, economic, and health systems. This will provide immediate societal benefits by informing the development and deployment of targeted interventions in such systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100659
Funder
Australian Research Council
Funding Amount
$454,417.00
Summary
The prevalence and impact of digital alcohol exposure. This project aims to use artificial intelligence to quantify the amount of alcohol people are exposed to in digital media (e.g., social media, streaming videos) in their daily lives and the effect alcohol exposure has on alcohol use. Expected outcomes for this project include a quantification of the amount of alcohol exposure in digital media and the impact it has on drinking and a development of a protocol to test exposure. Significant bene ....The prevalence and impact of digital alcohol exposure. This project aims to use artificial intelligence to quantify the amount of alcohol people are exposed to in digital media (e.g., social media, streaming videos) in their daily lives and the effect alcohol exposure has on alcohol use. Expected outcomes for this project include a quantification of the amount of alcohol exposure in digital media and the impact it has on drinking and a development of a protocol to test exposure. Significant benefits are expected for policy makers aiming to reduce exposure and the public wanting to avoid exposure to limit the harm of alcohol.
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Innovative Use of Customer Data for Business Growth. This project aims to apply and adapt the latest machine learning techniques to enable companies to utilise their existing customer data to reveal purchase motivations, product preferences, and responsiveness to marketing communications for each single customer. A widespread practice in marketing is to partition customers into broad groups, but customers expect products and services that are tailored to their individual needs. This presents ex ....Innovative Use of Customer Data for Business Growth. This project aims to apply and adapt the latest machine learning techniques to enable companies to utilise their existing customer data to reveal purchase motivations, product preferences, and responsiveness to marketing communications for each single customer. A widespread practice in marketing is to partition customers into broad groups, but customers expect products and services that are tailored to their individual needs. This presents extreme challenges due to the size and complexity of customer databases. The expected outcomes will enable Australian companies to attract and retain more customers, and make more efficient use of their marketing budget. Benefits include equipping companies to better compete domestically and globally.Read moreRead less
Genetic architecture and evolution of complex traits across populations. Most human traits have a genetic component and display substantial diversity within and among populations. How natural selection changes and maintains genetic variation in human traits is a long-standing question in evolution that the proposed project aims to answer. Using innovative statistical methods and largest genomic “big” datasets ever across populations of different ancestral backgrounds, this project expects to gen ....Genetic architecture and evolution of complex traits across populations. Most human traits have a genetic component and display substantial diversity within and among populations. How natural selection changes and maintains genetic variation in human traits is a long-standing question in evolution that the proposed project aims to answer. Using innovative statistical methods and largest genomic “big” datasets ever across populations of different ancestral backgrounds, this project expects to generate new knowledge on the roles of natural selection in shaping the genetic variation in traits and identify key factors that drive the differentiation of human populations. These outcomes will significantly improve our understanding on the evolution of human traits and adaptation of populations to changing environments.Read moreRead less
Borderline Personality as Social Phenomena. Mental disorders attract social stigma and those diagnosed are widely misunderstood. This project aims to collect and analyse accounts of people living with Borderline Personality Disorder (BPD) - mainly women - and perspectives of social support practitioners. The intended outcome is to provide a sophisticated understanding of BPD as a social phenomenon, develop sociological evidence based on lived experiences and generate Australian digital resources ....Borderline Personality as Social Phenomena. Mental disorders attract social stigma and those diagnosed are widely misunderstood. This project aims to collect and analyse accounts of people living with Borderline Personality Disorder (BPD) - mainly women - and perspectives of social support practitioners. The intended outcome is to provide a sophisticated understanding of BPD as a social phenomenon, develop sociological evidence based on lived experiences and generate Australian digital resources including narratives of BPD, creative outputs and practitioner perspectives. The anticipated goal of this project is to inform policy and community responses addressing stigma and marginalisation, and the improvement of social support for those affected by BPD.Read moreRead less
Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statis ....Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statistical methods provide the opportunity to close this gap. The outcome will be identification of many genomic variants causing variation in complex traits. This will benefit scientific understanding of complex traits and the ability to predict traits for individuals from their genome sequence.Read moreRead less
Social practices of oral health in Australian preschool children. The aim of the study is to explore "social practices" of oral health in Australian (Aboriginal and non-Aboriginal) preschool children. We use this emerging theory to move away from focusing on individuals and individual behaviour (and blame) to identify and map social practices: actions, materials and meanings families attribute to
child’s oral health. Expected project outcomes include identifying practices promoting or underminin ....Social practices of oral health in Australian preschool children. The aim of the study is to explore "social practices" of oral health in Australian (Aboriginal and non-Aboriginal) preschool children. We use this emerging theory to move away from focusing on individuals and individual behaviour (and blame) to identify and map social practices: actions, materials and meanings families attribute to
child’s oral health. Expected project outcomes include identifying practices promoting or undermining children’s oral health that can inform upstream and downstream policy directions and practices to improve health outcomes. This offers a new approach to "wicked" problems such as oral health where extensive
effort has not reduced morbidity and cost despite rhetoric that oral health is preventable.Read moreRead less
The transgenerational effect of thermosensing in plants. This project aims to understand how thermosensing mechanisms in plants result in transgenerational change, and potentially adaptation to climate. Exploiting the recent discovery of the thermosensor phytochrome B, this project will decipher the molecular cascade which, either through long-distance communication or through persistence of an epigenetic state in the cell lineage, could lead to a trans generational memory in plants helping with ....The transgenerational effect of thermosensing in plants. This project aims to understand how thermosensing mechanisms in plants result in transgenerational change, and potentially adaptation to climate. Exploiting the recent discovery of the thermosensor phytochrome B, this project will decipher the molecular cascade which, either through long-distance communication or through persistence of an epigenetic state in the cell lineage, could lead to a trans generational memory in plants helping with climate adaptation. This project will unravel novel molecular mechanisms, which have the potential to pave the way for designing new climate-proofing solutions to cope with temperature uncertainty.Read moreRead less
Global dementias: Examining structural vulnerability and dementia outcomes. This project aims to examine the social and cultural dimensions of dementia by using a comparative ethnographic approach to examine the experiences of people living with dementia in Australia, Malaysia and India. The project expects to generate new anthropological knowledge about structural inequalities by examining how dementia is responded to in diverse geographic, cultural and social settings. Expected outcomes of thi ....Global dementias: Examining structural vulnerability and dementia outcomes. This project aims to examine the social and cultural dimensions of dementia by using a comparative ethnographic approach to examine the experiences of people living with dementia in Australia, Malaysia and India. The project expects to generate new anthropological knowledge about structural inequalities by examining how dementia is responded to in diverse geographic, cultural and social settings. Expected outcomes of this project include the creation of a new evidence-base on dementia and the production of briefing documents to guide global health frameworks. The project should provide significant benefits for people living with dementia by providing locally-relevant strategies to respond to dementia and resultant disability.Read moreRead less