“Big Data” is a popular term used to describe the fact that modern society has made huge investments in gathering and analysing data and that these data-driven activities are making the information technology industry one of the fastest-growing sectors of the world economy. It has been estimated that more data has been generated in the past two years than in the entire history of the human race. Large-scale visualisation systems have been developed in an attempt to address the problem, and advanced systems include immersive visual and auditory displays that offer sophisticated user interaction that rely upon multiple sensors to monitor user inputs (including tracking user gestures and facial expressions). This demonstrator project explores how to bridge the gap between data scientists with expertise in handling big datasets and the domain experts that endeavors to explore and discover patterns in the huge complex datasets that could hold the answers to important questions if only they could hear or see them.
William Martens is a champion of the Big Data demonstrator. His group has identified a number of health-related big data applications that seem well suited to exploration using advanced VR/AR systems. In particular, this project will explore sonifications of proteomic and genomic data distributions as a means to identify the neurodegradation in diseases such as Alzheimer’s and Amyotrophic Lateral Sclerosis (ALS).This work will explore experimental hypotheses regarding the user’s auditory sensitivity to regularities and irregularities in spatio- temporal patterns, in hopes that the results will reveal potentially valuable novel and complementary approaches to exploratory analysis of biomedical (proteomic, genomic) data.
A/Prof Craig Jin