Bayesian Argumentation via Delphi

Bayesian Reasoning For Better Thinking

Prof Ann Nicholson

Professor Ann E. Nicholson is a Professor in the Faculty of Information Technology. After completing her BSc (Hons) and MSc in Computer Science at the University of Melbourne, in 1988 Ann was awarded a Rhodes scholarship to Oxford, where she did her doctorate in the Robotics Research Group. After completing a post-doc at Brown University, she returned to Australia to take up a lecturing position at Monash in 1994.

Ann specialises in the broad area of Artificial Intelligence, a sub-discipline of computer science. Ann is a leading international researcher in the specialised area of Bayesian networks, now the dominant technology for probabilistic causal modelling in intelligent systems. She has applied Bayesian Network technology to problem-solving in many domains including meteorology, epidemiology, medicine, education and environmental science. Examples include the use of BNs in biosecurity risk assessment, predicting the impact of conservation actions on threats and habitats of threatened species, fog forecasting and decision support for clinical cardiovascular risk assessment.

    The BARD project is funded by IARPA’s CREATE Program