Analytics and Decision Sciences

The Analytics and Decision Sciences (A&DS) program brings together the core research capabilities needed to make rational inferences and predictions from models and/or observations about the world, and it develops methods to use these to make efficient, risk-based decisions. Its core skills are in the statistics, machine learning, computational modelling, optimisation, economics and financial mathematics, computational linguistics, and software engineering disciplines.

WeFeel

Having access to real-time data is of enormous benefit to mental health researchers.

This new information from We Feel will be compared to existing literature to see how social media can be used to contribute to the real-time tracking of mental health in Australia.

This project has provided a prototype tool to support Black Dog Institute researchers to gather evidence on the role of social media in the development of more effective public health campaigns as well as the evaluation of existing campaigns.

Analytics and Decision Sciences

Situational Awareness

RiskLab Real Options – dynamic decision making under uncertainty

Immersive Analytics

Workload Assessment

WeFeel

Case studies

We Feel

Emergency Situation Awareness (ESA)

ADAIT

Spark

Swift

Workspace

A national fire behaviour knowledge base

Water pipe failure prediction

Monitoring the health of structures

Performance in the pool