Professor Guy Gable recognised with AIS Fellow Award
Professor Guy Gable has joined the 167 member AIS College of Senior Scholars, an influential forum for discussion on important issues of relevance to the information systems discipline.
The field of learning analytics: where people and technology interact
Dr Andrew Gibson has initiated open source software projects to support his research work, and has delivered workshops and talks locally and internationally on Text Analytics.
Can humans trust robots?
Professor Peter Bruza is leading a project that aims to understand how human beings will form trust with autonomous systems. The project has received $240,000 in funding from the Tokyo-based Asian Office of Aerospace Research and Development.
Professional development and short courses
Delivered by experts in their field, we provide professional development, short courses and training in SAP, business process management, mobile computing, information management and business service management.Our professional development and short courses
- business intelligence
- emerging technologies
- information management
- information systems consulting
- project management.
Human data science
Human data science is about understanding a broad spectrum of enterprise systems from the perspectives of organisations, users and communities. It uses:
- Abductive, inductive and interpretivist qualitative research methods to understand how people process, interact with and experience information.
- Information experience design to holistically integrate people, information, context and system.
Foundations of information science
This research theme encompasses two main areas of focus:
Human information interaction: We look at formal and computational models of human information behaviour such as:
- information seeking
- interaction and sharing
- cognitive information processing
- decision making
- reasoning with or about information.
Research systems: This is a strategic information systems (IS) programme of research that seeks insights into how best to research contemporary IS phenomena.
The fusion of human-based and physics-based information sources will enhance situation awareness for various tasks such as detection, tracking, classification, prediction, pattern of life or finding multi-entity relationships. However, the information to be fused has different characteristics, in particular, the nature of the uncertainty is different.
The core research objective of this project is therefore to determine how observations with different types of associated uncertainty can be combined. This project rests on the assumption that the conflicting and ambiguous nature of data being analysed during information fusion will lead to contextual effects in relation to decisions of trust.
Therefore, this project will:
- diagnose and analyse the prevalence of contextuality in information fusion with regard to decisions of trust
- develop models of contextually sensitive information fusion and express them as probabilistic programs for operational deployment and testing.
Behavioural research is a significant component of the annual spend in Australia on research and development. It is contended that 'best practice' behavioural research methods can be more systematised, transparent and visible to facilitate more complex, integrated and holistic research designs and more cumulative and comparable results. This would enable increased rigor, higher productivity and lower risk than have generally been the experience historically.
This project proposes the formal conceptualisation and modelling of behavioural science research methods, by adapting them to the research design, the well understood concepts, tools and techniques of information systems design.
Are you looking to study at a higher or more detailed level? We are currently looking for students to research topics at a variety of study levels, including PhD, Masters, Honours or the Vacation Research Experience Scheme (VRES).
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