Dr. Babak Abedin
Macquarie University
Babak is an Associate Professor in Business Analytics at Macquarie Business School, academic lead of Bachelor of Business Analytics co-op program, and an adjunct fellow at University of Technology Sydney (UTS). He holds a PhD in Information Systems from UNSW Business School, with a multi-disciplinary background in business, statistical modelling, and computer science. Prior to academia, he used to work in IT and management consulting. His research is inspired by problems in practice and is rooted in behavioural and managerial theories. Babak's research examines the positive and negative aspects of business analytics and information systems at organisational and individual levels. In particular, he is interested in transformational effects of health analytics, social analytics, and artificial intelligence.
Babak has so far received over $450,000 in external funding through engagement with Cancer Council NSW, Asia Productivity Organization, Reserve Bank of Australia, The Whiddon Group, Suicide Prevention Australia, and other partners. In the teaching front, his approach is driven by problems in the industry and society. In 2019, he won UTS Learning & Teaching Citation and in 2010 he received Macquarie University's Faculty of Business teaching award.
Babak is an editorial member of Electronic Markets, Journal of Theoretical and Applied Electronic Commerce Research, and a section editor in Australasian Journal of IS. He is also guest co-editor of a 2021 special issue on Designing and Managing Human-AI Interactions in Information Systems Frontiers. He is a member of The Institute for Operations Research and the Management Sciences (INFORMS), Association for Information Systems (AIS) and Australian Computer Society (ACS). Babak has published over 70 publications, with 19 of which in A/A* journals such as Information & Management, Journal of the Association for Information Science and Technology, Internet Research, Journal of the American Medical Informatics, Information Systems Frontiers, and Computers & Education. In 2020, he co-authored a paper on gender bias in AI, which was awarded Natalie F Hardwicke prize from Australasian Conference in Information Systems.
He is available for media commentary, actively engages with media outlets about his research in social media and health informatics, and has written for The Conversation, and been interviewed by ABC News 24, 2Ser FM, and Macquarie's The Lighthouse.