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Science and Engineering a university for the real world

Information Science

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.
Professor Peter Bruza
Discipline Leader, Information Science

Our experts

Our discipline brings together a diverse team of experts who deliver world-class education and achieve breakthroughs in research.

Explore our staff profiles to discover the amazing work our researchers are contributing to.

Meet our experts

Professor Peter Bruza
Position
Professor
Division / Faculty
Information Science,
School of Information Systems
Research fields
Cognitive Sciences
Information Systems
Artificial Intelligence and Image Processing
Email
Professor Guy Gable
Position
Professor
Division / Faculty
Information Science,
School of Information Systems
Research field
Information Systems
Email
Professor Sylvia Edwards
Position
Academic Leader San Jose PhD Program
Division / Faculty
Information Science,
School of Information Systems
Research fields
Library and Information Studies
Information Systems
Email
Dr Greg Timbrell
Position
Senior Lecturer
Division / Faculty
Information Science,
School of Information Systems
Research field
Information Systems
Email
Dr Andrew Gibson
Position
Lecturer in Information Science
Division / Faculty
Information Science,
School of Information Systems
Research fields
Cognitive Sciences
Information Systems
Library and Information Studies
Email
Dr Catarina Pinto Moreira
Position
Lecturer in Information Science
Division / Faculty
Information Science,
School of Information Systems
Research fields
Information Systems
Library and Information Studies
Email
Dr Andrew Demasson
Position
Associate Lecturer
Division / Faculty
Information Science,
School of Information Systems
Research fields
Information Systems
Library and Information Studies
Email
Dr Meng Zhang
Position
Research Fellow
Division / Faculty
Information Science,
School of Information Systems
Research field
Information Systems
Email
Dr Ian Stoodley
Position
Senior Research Associate
Division / Faculty
Information Science,
School of Information Systems
Research fields
Information Systems
Library and Information Studies
Email
Mr Prakash Bhandari
Position
Lecturer
Division / Faculty
Information Science,
School of Information Systems
Research field
Other Information and Computing Sciences
Email
Ms Lauren Fell
Position
Associate Lecturer
Division / Faculty
Information Science,
School of Information Systems
Research fields
Information Systems
Library and Information Studies
Email
Mr Mark Walpole
Position
Associate Lecturer
Division / Faculty
Information Science,
School of Information Systems
Research fields
Information Systems
Library and Information Studies
Email

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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.

View our student topics

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