Identifying technological trajectories using machine learning algorithms. This project aims to improve our understanding of why scientific knowledge progresses in certain directions and what causes it to grow faster or slower across fields. The project will create new neural-network machine-learning algorithms to scan patent and scientific article texts (specifications and claims) for natural language concepts. The results will potentially be used by patent offices to improve their own database ....Identifying technological trajectories using machine learning algorithms. This project aims to improve our understanding of why scientific knowledge progresses in certain directions and what causes it to grow faster or slower across fields. The project will create new neural-network machine-learning algorithms to scan patent and scientific article texts (specifications and claims) for natural language concepts. The results will potentially be used by patent offices to improve their own database search, by business analytics companies to reveal new technologies and potential collaborators, and by academic economists to understand how knowledge travels and accumulates.
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Rethinking diversity and inclusion practices in leadership roles. This project aims to study the lack of racial and gender diversity in management and leadership roles. The noticeable imbalances question the functioning of the meritocracy principle and may lead to organisational and social vulnerabilities. This project will apply large-scale field experiments with major organisations to investigate how workplace diversity and inclusion can be improved using as foundation economic theories of sig ....Rethinking diversity and inclusion practices in leadership roles. This project aims to study the lack of racial and gender diversity in management and leadership roles. The noticeable imbalances question the functioning of the meritocracy principle and may lead to organisational and social vulnerabilities. This project will apply large-scale field experiments with major organisations to investigate how workplace diversity and inclusion can be improved using as foundation economic theories of signaling, discrimination, fairness, and identity. The expected outcome is the identification of best diversity and inclusion practice in attraction, hiring, development and retention. This will provide significant benefit through an increase in workplace diversity.
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Tackling the Tough Problems in Productivity Measurement: Infrastructure, Services and R&D. Productivity is seen as a main driver of economic growth and welfare improvements. Productivity indexes are used in a variety of policy contexts, in particular in determining the effectiveness (or otherwise) of government policies. Most industrialized countries have productivity accounts, but measurement problems persist and may even be more problematic in the future given an expansion in new goods and ser ....Tackling the Tough Problems in Productivity Measurement: Infrastructure, Services and R&D. Productivity is seen as a main driver of economic growth and welfare improvements. Productivity indexes are used in a variety of policy contexts, in particular in determining the effectiveness (or otherwise) of government policies. Most industrialized countries have productivity accounts, but measurement problems persist and may even be more problematic in the future given an expansion in new goods and services. Improved productivity measurement and an improved understanding of its sources can inform aggregate and regional policy. The project includes collaboration with the Australian Bureau of Statistics and the Productivity Commission, with the participation of the Reserve Bank of Australia.Read moreRead less
The role of branding and international trademarks in global value chains. The role of branding and international trademarks in global value chains. This project will examine the role of brands and trademarks on global value chains. Trademarks can help firms de-risk, scale up and add value to their offerings. This project will develop a machine learning algorithm to identify international trademark families and extend a novel global trademark family dataset. It will use the dataset to analyse how ....The role of branding and international trademarks in global value chains. The role of branding and international trademarks in global value chains. This project will examine the role of brands and trademarks on global value chains. Trademarks can help firms de-risk, scale up and add value to their offerings. This project will develop a machine learning algorithm to identify international trademark families and extend a novel global trademark family dataset. It will use the dataset to analyse how international trademarks are used and mis-used; how they enable vertical dis-integration and international dispersion of manufacturing production (two central features of global value chains); and how they affect businesses’ ability to enter and compete in global markets. This research should help Australian businesses extend their international reach and policy makers increase domestic gains from global value chains.Read moreRead less