Linkage Projects - Grant ID: LP170100416

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP170100416

Funding Status
Closed

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Funded Activity Summary

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.

Funded Activity Details

Start Date: 01-07-2018

End Date: 31-12-2020

Funding Scheme: Linkage Projects

Funding Amount: $256,551.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Analysis of Algorithms and Complexity | Industry Economics and Industrial Organisation | Applied Economics |

ANZSRC Socio-Economic Objective (SEO)

Productivity (excl. Public Sector) | Technological and Organisational Innovation

Other Keywords

Analysis of Algorithms and Complexity | Applied Economics | Industry Economics and Industrial Organisation | Productivity (excl. Public Sector) | Technological and Organisational Innovation

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