Social insect behaviour: the importance of individual-decision making and information transfer. Insect societies are complex systems. Understanding complex systems is often hampered by our inability to study the individual units that comprise the system without also disturbing the system. Insect societies are unique in that the individual insects can be studied within their natural setting. This project will study foraging behaviour of honey bees with respect to individual decision-making and in ....Social insect behaviour: the importance of individual-decision making and information transfer. Insect societies are complex systems. Understanding complex systems is often hampered by our inability to study the individual units that comprise the system without also disturbing the system. Insect societies are unique in that the individual insects can be studied within their natural setting. This project will study foraging behaviour of honey bees with respect to individual decision-making and information transfer. In doing so we will obtain insights in the working of other, less accessible, complex systems such as the mammalian brain or the Australian economy.Read moreRead less
Understanding animals through their movement. This project aims to develop a suite of analytical methods to understand animals' behaviour through their movement patterns. Animal movement patterns encode detailed information about their behavioural state. Collecting and analysing animal movement trajectories can provide us with completely new insights to behaviour. Recent developments in bio-logging technologies have provided an incredible amount of rich data on free-ranging animals. This project ....Understanding animals through their movement. This project aims to develop a suite of analytical methods to understand animals' behaviour through their movement patterns. Animal movement patterns encode detailed information about their behavioural state. Collecting and analysing animal movement trajectories can provide us with completely new insights to behaviour. Recent developments in bio-logging technologies have provided an incredible amount of rich data on free-ranging animals. This project will develop a suite of analytical techniques to interrogate this data through a combination of approaches, from fine scale experiments in the laboratory to tracking animal trajectories from the International Space Station. The findings will deliver major benefits to the broader community by transforming our ability to manage and conserve animal stocks.Read moreRead less
On the move: the study of self-organised movement of animal groups with and without leadership. This project will uncover the common principles that control the movement of large groups of organisms. We will focus on swarming honey bees, hopping bands of billions of locusts and millions of crickets marching in unison. The outcomes of our research will be broadly applicable to other collective phenomena, even to traffic and crowd control in humans.
Decision-making in social insects and nature-inspired optimisation algorithms. Insect societies are ideal for the study of complex systems. Contrary to other complex systems, insect colonies can be modified without destroying the system. Computer scientists have found a source of inspiration in the behaviour of social insects for solving optimisation problems. Here we will study the influence of information flow on decision-making in real insect societies using:
1) Experiments aimed at investig ....Decision-making in social insects and nature-inspired optimisation algorithms. Insect societies are ideal for the study of complex systems. Contrary to other complex systems, insect colonies can be modified without destroying the system. Computer scientists have found a source of inspiration in the behaviour of social insects for solving optimisation problems. Here we will study the influence of information flow on decision-making in real insect societies using:
1) Experiments aimed at investigating how storage and transfer of information affects individual decision-making within a honey bee colony (University of Sydney)
2) Design of a new class of 'bee' algorithms that incorporate direct information transfer and are aimed at solving dynamic multicriterion optimisation problems (University of Leipzig).
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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.
New mathematics of fractional diffusion for understanding cognitive impairment at the neuronal level. As Australia's population ages, cognitive impairment due to cortical ageing and neurodegeneration is looming as the nation's greatest health problem. The project will deliver new, more realistic, mathematical models for a mechanistic understanding of cognitive impairment at the neuronal level. This understanding is a vital first step in targeting drugs, e.g., to influence neuronal spine proper ....New mathematics of fractional diffusion for understanding cognitive impairment at the neuronal level. As Australia's population ages, cognitive impairment due to cortical ageing and neurodegeneration is looming as the nation's greatest health problem. The project will deliver new, more realistic, mathematical models for a mechanistic understanding of cognitive impairment at the neuronal level. This understanding is a vital first step in targeting drugs, e.g., to influence neuronal spine properties, for preventative health care. The project will maintain international collaborations, between applied mathematicians at UNSW, Sydney and biomathematicians and neuroscientists at Mount Sinai School of Medicine, New York, providing ongoing training opportunities for Australian scientists in this cutting edge biomathematical research.Read moreRead less
House hunting honey bees: speed-accuracy trade-offs in collective decision-making. This project will uncover the mechanisms that underlie the trade-off between speed and accuracy in collective decision-making. We will study two species of honey bee that differ in the relative importance of speed and accuracy when deciding on a new home. Natural selection has shaped the decision-making process differently in the two species, one favouring speed, the other accuracy. We will use the natural wisdom ....House hunting honey bees: speed-accuracy trade-offs in collective decision-making. This project will uncover the mechanisms that underlie the trade-off between speed and accuracy in collective decision-making. We will study two species of honey bee that differ in the relative importance of speed and accuracy when deciding on a new home. Natural selection has shaped the decision-making process differently in the two species, one favouring speed, the other accuracy. We will use the natural wisdom evolved by the bees to design new mathematical models of collective decision-making. These can be applied to create efficient decision-making tools that will be useful for any large organization.Read moreRead less
A complex systems approach to preventing colony failure in honey bees. This project aims to use complex systems science to detect and prevent colony collapse in honey bees while advancing knowledge of tipping points in complex social systems. Understanding the mathematics of colony collapse can help us develop strategies for safeguarding managed bee populations and the valuable pollination services they provide. Expected outcomes include methods for the early detection of stress in colonies, met ....A complex systems approach to preventing colony failure in honey bees. This project aims to use complex systems science to detect and prevent colony collapse in honey bees while advancing knowledge of tipping points in complex social systems. Understanding the mathematics of colony collapse can help us develop strategies for safeguarding managed bee populations and the valuable pollination services they provide. Expected outcomes include methods for the early detection of stress in colonies, methods for reversing declines, and new mathematical techniques for studying tipping points in complex social systems. This will provide significant benefits for Australian agriculture, much of which depends on bee pollination, while building scientific capacity in complex systems science.Read moreRead less
From individuals to mass organisation: aggregation, synchronisation and collective movement in locusts. By combining field biology, robotics and mathematics, this project will determine how animals flock or swarm and, in particular, how locust nymphs control their collective movement over their lifetime. The mathematical models derived during the project will be directly applied to controlling outbreaks of locusts in Australia, South and North Africa.