Dr Tianwa Chen | UniSC | University of the Sunshine Coast, Queensland, Australia

Dr Tianwa Chen has an interdisciplinary research background spanning data science, information systems, artificial intelligence, business process management, and human-centred computing. Her research centres on human decision-making and cognitive processes in the use of digital information artefacts, with a particular focus on data quality management and human-centred AI. Her work also extends to digital equity and gender disparities in collaborative knowledge platforms. A distinctive strength of her research is her expertise in multimodal behavioural and psychophysiological methods, which she applies to explore complex user behaviours and inform the design of human-centred decision support systems that enhance user experience, accessibility, and inclusion.

Her work has been published in leading international journals and conferences, including Information Systems, ACM Transactions on Information Systems, Computers in Industry, IEEE Transactions on Knowledge and Data Engineering, and Human Behavior and Emerging Technologies, as well as conferences such as CAiSE, ER, SIGIR, BPM, ACIS, and WWW. Her research excellence has been recognised through national and international awards and fellowships, including the CAiSE’26 PhD Award for the best doctoral thesis in Information Systems Engineering, the ACPHIS 2025 PhD Medal for the best Australian PhD thesis in Information Systems, and the Alexander von Humboldt Research Fellowship for Postdoctoral Researchers. Her research has also received international recognition through invited presentations on data equity and digital knowledge platforms, including an invited talk on measuring gender gaps at the Wikimedia Research Showcase in March 2025 and a presentation on exploring Wikipedia gender diversity at Wikimedia Australia community meeting in July 2025.

Tianwa is a dedicated academic with extensive teaching experience across data science and information systems. She has taught undergraduate and postgraduate courses in advanced data analytics, data management, database systems, machine learning, and information systems. She has designed engaging learning experiences for diverse student cohorts and is recognised for making complex technical concepts accessible and relevant to real-world practice. Tianwa is committed to advancing human-centred approaches to AI and data-driven decision-making, and welcomes collaborations and Higher Degree by Research enquiries in areas related to data quality, human-AI interaction, information systems, cognitive analytics, conceptual modeling, business process management, digital equity, representation, and gender disparities in knowledge platforms.