Discovery Early Career Researcher Award - Grant ID: DE160100999
Funder
Australian Research Council
Funding Amount
$295,020.00
Summary
Applying forward-backward stochastic differential equations to optimisation. This project intends to develop new ways to solve optimisation problems that are currently difficult to solve because of their complexity and size. In particular, forward–backward stochastic differential equations (FBSDEs) are a new technique that is showing ways to solve problems for which there is yet to be a solution. This project's focus will be on problems that cannot use existing software because the decision-maki ....Applying forward-backward stochastic differential equations to optimisation. This project intends to develop new ways to solve optimisation problems that are currently difficult to solve because of their complexity and size. In particular, forward–backward stochastic differential equations (FBSDEs) are a new technique that is showing ways to solve problems for which there is yet to be a solution. This project's focus will be on problems that cannot use existing software because the decision-making processes require intensive consideration of all possible outcomes in the modelled environment. In comparison to previous optimisation methods, the FBSDE approach is easier to work with and much more informative. The project's main potential applications are multiplayer games with mean-field interaction and financial markets with partial information.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100305
Funder
Australian Research Council
Funding Amount
$399,064.00
Summary
Revealing the origin and early evolution of spiralian animal body plans. This project aims to reconstruct the early evolutionary history of the Spiralia, a megadiverse animal group that extends back 540 million years. Their oldest fossils represent some of the earliest known animals and can reveal much about the speed and magnitude of evolution during the Cambrian Explosion, when most animal groups rapidly appeared. This project expects to generate new knowledge on the origin and radiation of so ....Revealing the origin and early evolution of spiralian animal body plans. This project aims to reconstruct the early evolutionary history of the Spiralia, a megadiverse animal group that extends back 540 million years. Their oldest fossils represent some of the earliest known animals and can reveal much about the speed and magnitude of evolution during the Cambrian Explosion, when most animal groups rapidly appeared. This project expects to generate new knowledge on the origin and radiation of some of the first animal body plans to better understand the early history of complex life. Anticipated outcomes and benefits include a new macroevolutionary framework for spiralians, novel approaches to studying invertebrate fossils, and highlighting the scientific importance of Australia’s natural heritage.Read moreRead less
High resolution warm ocean records from laminated sediment. This project will produce environmental records during ocean warming events in the geologic past to reveal processes associated with warm oceans similar to those anticipated in the coming century. New Australian technology allows investigation of sediment records at unprecedented time resolution providing insight into processes operating on societally relevant time scales of decades to centuries. This work will open an archive of climat ....High resolution warm ocean records from laminated sediment. This project will produce environmental records during ocean warming events in the geologic past to reveal processes associated with warm oceans similar to those anticipated in the coming century. New Australian technology allows investigation of sediment records at unprecedented time resolution providing insight into processes operating on societally relevant time scales of decades to centuries. This work will open an archive of climate information revealing feedback, thresholds and tipping points from past events previously inaccessible because of technical and conceptual limitations. It will provide critical inputs into models predicting future climate and to illuminate the risks and compensating feedbacks occurring with warming.
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