A fast comparative method for historical linguistics. Linguists are able to infer ancient histories of languages by a procedure known as the Comparative Method. Its results are used in related studies of human genetic and cultural change. However, the Comparative Method is a manual-only process and thus currently is a bottleneck for the science of unravelling the human past. This project aims to overcome this limitation and significantly accelerate linguistic discovery, by combining recent advan ....A fast comparative method for historical linguistics. Linguists are able to infer ancient histories of languages by a procedure known as the Comparative Method. Its results are used in related studies of human genetic and cultural change. However, the Comparative Method is a manual-only process and thus currently is a bottleneck for the science of unravelling the human past. This project aims to overcome this limitation and significantly accelerate linguistic discovery, by combining recent advances in computational language processing, statistics and cultural-evolutionary modelling. By producing innovative mathematical means for rapidly discovering ancient language relationships, it will enable a breakthrough in our capacity to uncover human linguistic, genetic and cultural heritage worldwide.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100614
Funder
Australian Research Council
Funding Amount
$363,612.00
Summary
Evolutionary genomics and origin of the molluscan biomineralisation toolkit. The project aims to use new genomes from understudied lineages of Mollusca to identify the genes involved in shell formation (biomineralisation) and infer their function and evolutionary history. The ability of molluscs to biofabricate intricate and robust skeletal structures from sea water is encoded in their genomes. Understanding the ancestral biomineralisation toolkit is of great interest to materials science, which ....Evolutionary genomics and origin of the molluscan biomineralisation toolkit. The project aims to use new genomes from understudied lineages of Mollusca to identify the genes involved in shell formation (biomineralisation) and infer their function and evolutionary history. The ability of molluscs to biofabricate intricate and robust skeletal structures from sea water is encoded in their genomes. Understanding the ancestral biomineralisation toolkit is of great interest to materials science, which seeks to replicate molluscan biomineralisation in vitro for biomedical and other applications. Understanding the toolkit is an important first step toward synthetic biology techniques to 'print' structures like bones in vitro. Moreover, new genomic resources from molluscs will be of interest to researchers in numerous fields.Read moreRead less
A Method for Analysis of Complexity in Cognitive Processes: Applications to Prediction of Industrial Workloads. The project will develop a method for analysis of cognitive complexity in human and animal cognition. It will contribute to basic research because it will enable equivalences and relative complexities of cognitive functions to be determined, independent of content or methodology. It will have applications to education, because it enables complexities of concepts to be recognised and a ....A Method for Analysis of Complexity in Cognitive Processes: Applications to Prediction of Industrial Workloads. The project will develop a method for analysis of cognitive complexity in human and animal cognition. It will contribute to basic research because it will enable equivalences and relative complexities of cognitive functions to be determined, independent of content or methodology. It will have applications to education, because it enables complexities of concepts to be recognised and appropriate pedagogies determined. It also has application to human factors, especially industrial performance and decision making. It will advance on currrent methods because it enables workload to be analysed and predicted, so that it can be factored into job and system design. Read moreRead less