Environmental Influences In The Establishment Of The Epigenetic Landscape In Children
Funder
National Health and Medical Research Council
Funding Amount
$695,097.00
Summary
The DNA in each of our cells does not exist alone, it is packaged into complex structures called chromosomes, through association with many different proteins. The distribution of these proteins varies along the length of a chromosome depending on the type of cell and this phenomenon is called 'epigenetics', literally meaning 'above the DNA'. Epigenetic analysis is the study of how proteins and other molecules can change the activity of a gene without changing the DNA sequence. All of our cells ....The DNA in each of our cells does not exist alone, it is packaged into complex structures called chromosomes, through association with many different proteins. The distribution of these proteins varies along the length of a chromosome depending on the type of cell and this phenomenon is called 'epigenetics', literally meaning 'above the DNA'. Epigenetic analysis is the study of how proteins and other molecules can change the activity of a gene without changing the DNA sequence. All of our cells use epigenetic changes to help control how they grow and develop. Evidence suggests a direct link between diet and environmental influences on our epigenetic profile. Recent research has traced the origins of many of the health problems of adult life back to the earliest periods of development _ to the time spent in the womb and the first few years of life. If we are born with a low birth weight, we are more likely to get sick later in life. Overwhelming evidence exists that the environment in the womb is critical for a healthy birth weight (and health in later life) and it is thought that epigenetics may be the missing link between this environment, low birth weight, and therefore health in later life. In addition, mounting evidence supports a general link between epigenetic de-regulation and predisposition to disease. However, the timing and the overall contribution of environmental- genetic influences to the establishment of faulty epigenetic markings remain largely unknown. Twins are the best model to study this link as they share similar (but not identical environments) and some share identical genetic makeup. Using twins, Dr Jeffrey Craig and his team will investigate the factors in the prenatal environment that modify specific cells, leading to low birth weight and increase disease risk later in life. They predict that this occurs via specific changes in gene activity caused by epigenetic disruption.Read moreRead less
Mental Health Across Generations: Pre-and Post Conception Predicators Of Early Life Risks
Funder
National Health and Medical Research Council
Funding Amount
$666,231.00
Summary
In 2003, mental illnesses were among the ten leading causes of disease burden in Australia, accounting for 13% of the total burden of disease, according to the Australian Institute of Health and Welfare. Mental health problems and mental illness are among the greatest causes of disability, diminished quality of life, and reduced productivity. People affected by mental health problems often have high levels of morbidity and mortality, experiencing poorer general health and higher rates of death f ....In 2003, mental illnesses were among the ten leading causes of disease burden in Australia, accounting for 13% of the total burden of disease, according to the Australian Institute of Health and Welfare. Mental health problems and mental illness are among the greatest causes of disability, diminished quality of life, and reduced productivity. People affected by mental health problems often have high levels of morbidity and mortality, experiencing poorer general health and higher rates of death from a range of causes, including suicide. These conditions are significant in terms of prevalence and disease burden, and have far-reaching impacts for families, carers and others in the community. Mental health problems commonly cluster in families. However, few studies have previously been able to investigate the range of ways in which mental disorders may pass from one generation to another. Further, evidence suggests that influences that arise prior to conception may have major effects on early life risks such as development in utero, birth outcomes and early maternal infant bonding. Mental Health across Generations: Pre- and post-conception predictors of early life risks is a unique study that will examine antenatal maternal mental health and risk behaviours during pregnancy. The study will also examine the links between prior maternal mental health and later birth outcomes, and post natal maternal infant bonding. The risk processes to be tested will include genetic, epigenetic (changes in gene expression), physiological and psycho-social parameters.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100672
Funder
Australian Research Council
Funding Amount
$470,337.00
Summary
Measuring real-time mental workload to improve our Defence capability. This project aims to develop a novel platform for measuring real-time variation in the cognitive workload of humans working with advanced Defence technologies. The project expects to combine innovative statistical techniques with cutting-edge psychological and neuroscience developments to measure and process workload-related brain activity in real-time. Expected outcomes of the project include an enhanced capacity to measure ....Measuring real-time mental workload to improve our Defence capability. This project aims to develop a novel platform for measuring real-time variation in the cognitive workload of humans working with advanced Defence technologies. The project expects to combine innovative statistical techniques with cutting-edge psychological and neuroscience developments to measure and process workload-related brain activity in real-time. Expected outcomes of the project include an enhanced capacity to measure and respond to cognitive workload in the field. This should provide significant benefits such as enhanced performance and safety outcomes, which will provide a strategic advantage to the Australian Defence Force by facilitating the development of advanced technologies that respond to the capabilities of the human user.Read moreRead less
Autonomous Functions for Smart Cars. The aim of this project is to develop autonomous functions for smart cars, such as lane departure warning, driver fatigue warning, and automatic lane following. Every year 70,000 people are killed in road accidents, 95% of which can be attributed to driver error. The potential outcomes of this project therefore significant. Many of the theoretical methods required for this project have been developed by our group. However, further theoretical refinements fo ....Autonomous Functions for Smart Cars. The aim of this project is to develop autonomous functions for smart cars, such as lane departure warning, driver fatigue warning, and automatic lane following. Every year 70,000 people are killed in road accidents, 95% of which can be attributed to driver error. The potential outcomes of this project therefore significant. Many of the theoretical methods required for this project have been developed by our group. However, further theoretical refinements followed by experimental verification is necessary. For smart cars to be accepted, the systems must be demonstrated to be reliable and to operate in a wide range of conditions.Read moreRead less
Affective sensing technology for the detection and monitoring of depression and melancholia. This project will develop reliable and affective sensing technology and evaluate it as an objective measure of depressive disorders; a leading cause of disability worldwide. Outcomes will significantly support and aid clinicians in their diagnosis and treatment, thus providing a major breakthrough with significant research, healthcare and commercial possibilities.
Location-Based Personalisation in Mobile Commerce (M-Commerce). M-commerce, though playing an important role in future competitiveness of Australia, suffers a low user demand. While location-based services have taken off in Europe, they are still at their infancy in Australia. In terms of IT access, Australia is ranked lower than many Asian countries. Our work gains an understanding of users' concerns and expectations of location-based services, which leads to better application designs and thus ....Location-Based Personalisation in Mobile Commerce (M-Commerce). M-commerce, though playing an important role in future competitiveness of Australia, suffers a low user demand. While location-based services have taken off in Europe, they are still at their infancy in Australia. In terms of IT access, Australia is ranked lower than many Asian countries. Our work gains an understanding of users' concerns and expectations of location-based services, which leads to better application designs and thus a wider adoption. An examination of users' attitude towards personalised content and concerns about data privacy provides insights to Australian legislation in relation to telemarketing and data-driven marketing. National benefits will stem from a balance between telemarketing efficiency and users' benefits.Read moreRead less
Automated internet warnings to prevent viewing of minor-adult sex images. Since the advent of the internet and digital cameras, the market for child exploitation material (CEM) has boomed. This project aims to explore how the visual appearance of warning messages influences internet users. It plans to conduct a randomised controlled experiment with naïve participants on a real-life website to test the effectiveness of messages designed to discourage viewers of legal ‘barely legal’ pornography. I ....Automated internet warnings to prevent viewing of minor-adult sex images. Since the advent of the internet and digital cameras, the market for child exploitation material (CEM) has boomed. This project aims to explore how the visual appearance of warning messages influences internet users. It plans to conduct a randomised controlled experiment with naïve participants on a real-life website to test the effectiveness of messages designed to discourage viewers of legal ‘barely legal’ pornography. It is anticipated that results will assist policing efforts by indicating whether warnings can be used to dissuade first-time CEM viewers and whether differences exist between harm or deterrent-focused messages.Read moreRead less
Reading facial expressions from real and virtual humans. This project aims to advance understanding of human emotional communication and improve human rapport with the virtual humans and avatars that are rapidly infiltrating our social world. Using two unique stimulus sets - naturalistic human expressions and highly realistic virtual faces - together with powerful genetic, experimental, and individual differences designs, the project expects to answer previously intractable questions in emotion ....Reading facial expressions from real and virtual humans. This project aims to advance understanding of human emotional communication and improve human rapport with the virtual humans and avatars that are rapidly infiltrating our social world. Using two unique stimulus sets - naturalistic human expressions and highly realistic virtual faces - together with powerful genetic, experimental, and individual differences designs, the project expects to answer previously intractable questions in emotion science, as well as deliver tangible outcomes, such as new psychological tests to better understand human social connection. This should provide significant benefits, by improving emotion communication and offering a new perspective on how artificial intelligence can best serve human social needs.
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Discovery Early Career Researcher Award - Grant ID: DE200101100
Funder
Australian Research Council
Funding Amount
$425,613.00
Summary
Towards Robotic Empathy: A human centred approach to future AI machines. The project aims to equip future robots with empathy by developing computational models which can leverage from verbal and non-verbal cues. With recent advances in artificial intelligence research, robots now have better cognitive and function skills, but they lack socio-emotional skills. Since these robots are expected to provide assistance to humans across different domains including rehabilitation, education and health c ....Towards Robotic Empathy: A human centred approach to future AI machines. The project aims to equip future robots with empathy by developing computational models which can leverage from verbal and non-verbal cues. With recent advances in artificial intelligence research, robots now have better cognitive and function skills, but they lack socio-emotional skills. Since these robots are expected to provide assistance to humans across different domains including rehabilitation, education and health care, empowering them with empathetic abilities is important for their success. The project will advance fundamental research in machine learning, affective computing and artificial intelligence to model human behavior, personality traits and emotions for an empathetic human-robot interaction.Read moreRead less
Improving the specificity of affective computing via multimodal analysis. This project aims to develop multimodal affective sensing techniques that can sense very subtle expressions in human moods and emotions. Much research in affective computing has investigated ways to improve the sensitivity of affect sensing approaches, resulting in more accurate estimates of affective states such as emotions or mood. What remains unsolved so far is the issue of specificity. This project will address this i ....Improving the specificity of affective computing via multimodal analysis. This project aims to develop multimodal affective sensing techniques that can sense very subtle expressions in human moods and emotions. Much research in affective computing has investigated ways to improve the sensitivity of affect sensing approaches, resulting in more accurate estimates of affective states such as emotions or mood. What remains unsolved so far is the issue of specificity. This project will address this issue through novel analyses of very subtle cues in facial and vocal expressions of affect embedded in a multimodal deep learning framework. Current approaches can successfully assist in binary classification tasks. This project will tackle the much more difficult problem of developing advanced affective sensing technology to simultaneously handle homogeneous and heterogeneous affect classes as well as continuous range estimates of affect intensity.Read moreRead less