Prof Daniel Angus

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Centre Director

Doctor of Philosophy (Swinburne Institute of Technology)

Prof. Daniel Angus is Professor of Digital Communication in the School of Communication, and Director of QUT's Digital Media Research Centre.

Daniel's research examines issues at the intersection of technology and society, with a focus on artificial intelligence, automation, misinformation, and new methods to study the digital society. Daniel has been involved in computer and social science research for 20 years and he contributes regularly to media and industry on the impact of technology on society.

Daniel received a BS/BE in research and development, and electronics and computer systems, and a PhD in computer science from Swinburne University of Technology, in 2004 and 2008, respectively. Between 2008 and 2018 he worked in a number of roles at The University of Queensland, leading collaborative research at the intersection of computer science, design, communication, linguistics, and journalism. He is a Chief Investigator in the ARC Centre of Excellence for Automated Decision Making & Society; the ARC Discovery Projects: Evaluating the Challenge of ‘Fake News’ and Other Malinformation, and Using machine vision to explore Instagram’s everyday promotional cultures; and, the ARC Linkage Project: Young Australians and the Promotion of Alcohol on Social Media.

Additional information

Experience

Daniel is a co-convenor of the Brisbane chapter of the worldwide Hacks/Hackers movement. Hacks/Hackers brings technologists and journalists together to explore opportunities and challenges at the boundary of these disciplines. Prior to, and over the course of his academic career Daniel has worked in a number of rewarding consultancy and full-time professional roles. Daniel has worked in:

  • standards testing and Engineering (automotive / white goods / built environment);
  • automated portfolio management in the finance sector;
  • data analytics for the healthcare sector; and,
  • communication analytics for the minerals and natural resource sector.

Research Projects

Title
Using Machine Vision to Explore Instagram's Everyday Promotional Cultures
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP200100519
Start year
2020
Keywords
Title
Evaluating the Challenge of 'Fake News' and Other Malinformation
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP200101317
Start year
2020
Keywords

Current Supervisions

  • Computational approaches and tools for critical simulation of Convolutional Neural Networks in visual social media
    PhD, Principal Supervisor
    Other supervisors: Distinguished Professor Jean Burgess
  • No tool is a box: Unpacking embedded knowledge to address tool/language barriers
    PhD, Principal Supervisor
    Other supervisors: Professor Axel Bruns
  • Imaginary Containers and Imaginary Coins: e-publishing using smart contracts
    PhD, Principal Supervisor
    Other supervisors: Professor Patrik Wikstrom
  • My Digital 'Friend': Design Considerations When Deploying Chatbots in Trusted Companionship Roles
    PhD, Principal Supervisor
    Other supervisors: Adjunct Professor Renata Meuter
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