The evolution of cooperative communication. This interdisciplinary project will provide a broad understanding of communication in a model ecological system involving ants, lycaenid butterflies, and host-plants. The project will reveal the nature of the chemical signals used to communicate, and their role in the origin, maintenance, and loss of mutualistic and parasitic associations.
Random network models with applications in biology. Complex biological systems consist of a large number of interacting agents or components, and so can be studied using mathematical random network models. We aim to gain deeper insights into the laws emerging as the random networks evolve in time. This can help us to deal with dangerous disease epidemics and better understand the human brain.
Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to u ....Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to understand the underlying mechanisms of pattern discrimination. The project will also test how robust this ability is during changes in water quality (elevated carbon dioxide levels and increased turbidity). The outcomes will further our knowledge base in lower vertebrate vision and evolution, and also have implications for human vision, image analysis, and artificial vision.Read moreRead less
The origins of gender. This project intends to address how the evolutionary phenomena of intra-sexual competition and inter-sexual conflict interact with economic circumstances to shape gendered behaviour and attitudes. These phenomena are important in evolution, economics, psychology and sociology, with implications for the economy and for the welfare of women and men. The project predicts that gender-related culture arises, partially, out of mating market dynamics. The research crosses traditi ....The origins of gender. This project intends to address how the evolutionary phenomena of intra-sexual competition and inter-sexual conflict interact with economic circumstances to shape gendered behaviour and attitudes. These phenomena are important in evolution, economics, psychology and sociology, with implications for the economy and for the welfare of women and men. The project predicts that gender-related culture arises, partially, out of mating market dynamics. The research crosses traditional boundaries between biology and economics to investigate the forces giving rise to gendered behaviour and resulting patterns of marriages, violence, political preferences and occupational choices. The project may provide new insights into the links between gender and violence, within-family conflicts, and gender roles in the home and workplace.Read moreRead less
Body size in the 21st century: integrating evolution, economics and culture. This project will study how evolution and biology interact with culture and economics to shape two important aspects of our world and our lives: the unfolding global obesity crisis and the complex, nuanced judgments people make about body shape. This research will inform the public health issues of obesity and body image problems.
Understanding the crowd - improving accuracy in collective motion theory. This project intends to develop more accurate methods for predicting the motions of large groups. The amazing coordinated movements seen in large groups of animals are governed by simple interactions between individuals, termed rules of motion. In 2011, techniques were developed to estimate individual rules of motion from video tracking data. The project plans to build on these breakthroughs by using advanced tracking, mod ....Understanding the crowd - improving accuracy in collective motion theory. This project intends to develop more accurate methods for predicting the motions of large groups. The amazing coordinated movements seen in large groups of animals are governed by simple interactions between individuals, termed rules of motion. In 2011, techniques were developed to estimate individual rules of motion from video tracking data. The project plans to build on these breakthroughs by using advanced tracking, modelling and analysis to systematically determine the influence that different movement parameters have on rules of motion and how rules of motion are affected by group size. It aims to develop a framework for analysis and modelling built on the visual perception of individuals.Read moreRead less
Leadership matters: the emergence of informed leaders and their influence on group movement. This project will discover the effect of leadership and social structure on collective motion in schools of damselfish, swarms of honey bees and human pedestrians using videoed experiments and computer simulations. These findings will be important in preventing crowd stampedes, understanding risky road crossing behaviour and designing 'swarms' of robots.
Random Discrete Structures: Approximations and Applications. The behaviour of many real world systems can be modelled by random discrete structures evolving over time. For example, the sizes of populations of frogs in some close patches of forests can be modelled as interacting random processes. The aim of the project is to investigate large discrete random structures that arise from real world application in areas such as biology, complex networks and insurance. The proposed project is at the i ....Random Discrete Structures: Approximations and Applications. The behaviour of many real world systems can be modelled by random discrete structures evolving over time. For example, the sizes of populations of frogs in some close patches of forests can be modelled as interacting random processes. The aim of the project is to investigate large discrete random structures that arise from real world application in areas such as biology, complex networks and insurance. The proposed project is at the interface of mathematics and 'big data' applications and so the work of the project aims to provide theoretical and heuristic underpinnings useful in the algorithms and techniques of practitioners. Understanding the applications in the project requires new, broadly applicable methods and developing such is a complementary aim.Read moreRead less
Environmentally Induced Non-genetic Effects on Ageing and Fitness over Multi-generations and the Evolution of Life-history Trade-offs. This project will study trade-offs among growth, lifespan and fecundity, and test the following three predictions by employing a short-lived fish model and cutting-edge statistical and computational modelling. First, different dietary conditions not only affect the fitness of the organism, but also that of subsequent generations. Second, different nutritional eff ....Environmentally Induced Non-genetic Effects on Ageing and Fitness over Multi-generations and the Evolution of Life-history Trade-offs. This project will study trade-offs among growth, lifespan and fecundity, and test the following three predictions by employing a short-lived fish model and cutting-edge statistical and computational modelling. First, different dietary conditions not only affect the fitness of the organism, but also that of subsequent generations. Second, different nutritional effects and transgenerational effects on fitness-related traits are underpinned by epigenetic (or non-genetic) modifications. Third, such epigenetic modifications and their inheritance influence the evolution of life-history trade-offs. This project will link the emerging field of epigenetics with evolutionary theory, and reveal mechanisms of transgenerational epigenetic inheritance. Read moreRead less
Risky Business: Using biological systems to mitigate risk in supply chains and transportation networks. In an uncertain world, resilient supply chains are crucial for getting products and services to consumers. However, the algorithms used to design and manage supply chains are inadequate to deal with the increasingly complex and self-organised nature of modern supply chains. This project will look to nature for new solutions to supply chain design and management problems. Natural systems are hi ....Risky Business: Using biological systems to mitigate risk in supply chains and transportation networks. In an uncertain world, resilient supply chains are crucial for getting products and services to consumers. However, the algorithms used to design and manage supply chains are inadequate to deal with the increasingly complex and self-organised nature of modern supply chains. This project will look to nature for new solutions to supply chain design and management problems. Natural systems are highly resilient against perturbations and damage. They have had millions of years to evolve efficient solutions to the same problems currently facing supply chains. Using experiments on ants and slime moulds. This project will uncover the secrets of biological resilience, and use this insight to develop new algorithms for supply chain design and management. Read moreRead less