A Varied Diet, Ageing, and the Evolution of Life Histories. This research aims to understand how nutritional environments affect lifespan and its evolution. The expected outcomes are improved knowledge around the biology of ageing including the identification of diet-responsive genes and biological pathways. These elements will comprise targets for future applied studies on ageing, metabolic dysfunction and personalised nutrition. This study will also inform as to how lifespans evolve. Because l ....A Varied Diet, Ageing, and the Evolution of Life Histories. This research aims to understand how nutritional environments affect lifespan and its evolution. The expected outcomes are improved knowledge around the biology of ageing including the identification of diet-responsive genes and biological pathways. These elements will comprise targets for future applied studies on ageing, metabolic dysfunction and personalised nutrition. This study will also inform as to how lifespans evolve. Because lifespan is a fundamental demographic trait, this knowledge will improve ability to predict how populations adapt to environmental change. Lastly, through methodological innovation this project will also provide new statistical tools for studying how treatments affect the risk of death age specifically.Read moreRead less
Sex Differences in Trait Associations & Shapes: Analysis beyond Average. This project aims to identify and address current knowledge gaps in research on sex differences by employing different methodologies (bibliometrics, systematic mapping) and developing novel methods of meta-analysis. This project expects to generate a more holistic and complete view of sex differences than currently appreciated, by (meta-)analyzing the shapes of traits and associations between traits. Expected outcomes of th ....Sex Differences in Trait Associations & Shapes: Analysis beyond Average. This project aims to identify and address current knowledge gaps in research on sex differences by employing different methodologies (bibliometrics, systematic mapping) and developing novel methods of meta-analysis. This project expects to generate a more holistic and complete view of sex differences than currently appreciated, by (meta-)analyzing the shapes of traits and associations between traits. Expected outcomes of the project include taking the field of sex differences to the next level, and creating new and powerful meta-analytic methods, opening new avenues for research synthesis. This should provide significant benefits by directing future research in related fields and inspiring new kinds of (meta-)analyses across disciplines.Read moreRead less