Topic emergence, evolution and overlap in different research disciplines: An artificial intelligence tool to bridge cross-disciplinary gaps

Project: Research

Project Details

Description

Our artificial intelligence and text analytics software links knowledge across disciplines to identify emerging research opportunities. Our tool enables MQ to anticipate ‘where to invest next’ to optimise research performance in emerging fields by developing an advanced explanatory and predictive tool.
Research breakthroughs often emerge in interdisciplinary spaces. The capacity of any university to quickly identify emerging problems is limited. Our project develops software that enables early identification of cross-disciplinary research opportunities.
Early identification delivers competitive advantage enabling rapid entry into new research and offers MQ and its researchers a unique capability to identify and assign resources to new research.
StatusFinished
Effective start/end date1/02/1931/12/19