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Overview

We investigate how to understand, model, enhance and enable the contextual connections between information, people and their environment.

Understanding these connections will help improve how people and enterprises share, comprehend, use and interact with information.

Teaching

Academics in our discipline teach across a broad spectrum of topics, including:

  • business intelligence
  • databases
  • emerging technologies
  • information management
  • information systems consulting
  • project management.

Research

Our research focus areas and their practical applications include:

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.

Projects

Contextual models of information fusion

Project leader

Professor Peter Bruza

Dates

2017-2020

Project summary

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.

Towards engineering behavioural research design systems

Project leader

Professor Guy Gable

Dates

2015-2017

Project summary

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.

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Our topics

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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Our experts

We host an expert team of researchers and teaching staff, including Head of School and discipline leaders. Our discipline brings together a diverse team of experts who deliver world-class education and achieve breakthroughs in research.
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