ProjectsFilter projects by categorySelect multiple categories to view cross-referenced projects.AginicAllianz PartnersAstral ConsultingHealth + Wellbeing QLDQueensland Department of EducationQueensland HealthQueensland Police ServiceAlgorithmic transparency Found 15 Results Defining and Measuring Analytics ValueThis PhD project is a collaboration with Partner Organisation Aginic, and commenced in February 2022 with the recruitment of PhD researcher Daisy Xu at The University of Queensland. It will develop a ... Developing Analytics-Driven OrganisationsThis PhD project is a collaboration with CIRES Partner Organisation Aginic. It will develop a systematic and organised approach to data-driven transformations and will help Aginic and other companies ... Customer Data StoriesThis project is a collaboration with Allianz Worldwide Partners Australia (AWP Australia) and is investigating how availability of collective and personalized data summaries impacts end-users and cust ... Value Measurement of Data ProductsThis project is a collaboration with Allianz Worldwide Partners Australia (AWP Australia) and focuses on how to maximise data driven value creation and capture. It will challenge and extend the curren ... Information Architecture and Forensic Data AnalysisThis research project is a collaboration with Astral Consulting and is investigating how explainable AI can improve Enterprise Information Architectures to establish a more forensic approach to the di ... Curating Systems of EngagementThis research project is a collaboration with Astral Consulting and is tackling the critical issue of how information from an organisation’s public systems of engagement can be captured, developed ... Using Data to Overcome Wellbeing Challenges Across the Life SpectrumThis PhD project is a collaboration with Health and Wellbeing Queensland. It applies predictive modelling to datasets for useful insights into urban, rural, and remote communities to drive innovation ... Advancing Deep Neural Network Reliability During Dataset ShiftWhile Deep neural networks (DNNs) succeed in exploiting non-linear patterns in very large and high-dimensional datasets, they catastrophically fail without warning under dataset shift, i.e., changes i ... Interpretable AI-Theory and PracticeA major bottleneck for enterprises adopting AI is the difficulty in applying and interpreting the correct method for a given problem. This project will survey available interpretable methods in AI and ... On-demand Dataset BuilderThis project will develop a prototype system to showcase the scalability, reliability, and usability of an AI-assisted dataset builder for effective and efficient discovery and curation of multi-sourc ... Improving Sepsis Management through Better Data and Rapid LearningThis project will investigate sepsis prediction algorithms for both children and adults. Recognising sepsis as a global threat, Queensland Health created the Sepsis Breakthrough Collaborative. One foc ... Expanding Data Sets to Allow Improved Critical Care for Children – Inpatient Risk PredictionIn collaboration with Queensland Health, this project aims to provide a platform-independent decision support framework using an interpretable machine learning approach for making effective risk pred ... Expanding Data Sets to Allow Improved Critical Care for Children – Outpatient Risk PredictionThis project, in collaboration with Queensland Health, aims to develop a probabilistic cloud-based health monitoring and risk prediction system that can predict clinical abnormalities based on streami ... Bias Mitigation in Human in the Loop Decision SystemsThis PhD project is a collaboration with CIRES Partner Organisation the Queensland Police Service. It focuses on integrating fairness into learning algorithms used in the context of policing services ... Data as a Service ArchitectureThis project is a collaboration with CIRES partner the Queensland Police Service and aims to develop a novel system for making efficient and effective queries and recommendations based on multi-source ... Newer posts
