On 21 October, CIRES Centre Director Prof. Shazia Sadiq hosted a panel of international experts on “Building Trust Through Conceptual Modelling” at the 44th International Conference on Conceptual Modeling, ER 2025, in France.
Month: October 2025
QPS Partner at International Association of Chiefs of Police Conference
CIRES Partner Investigator and Queensland Police Service (QPS) staff, Mr Nicholas Moss, attended the International Association of Chiefs of Police (IACP 2025) Annual Conference and Exposition in Denver Colorado USA, 18-21 October 2025. Nicholas presented results from the CIRES-QPS project on community-engagement on the use of data. This project aims to understand community attitudes towards data analytics, particularly in policing.
UQ-UZH Symposium and Public Lecture
On 7-8 October, CIRES CI Professor Gianluca Demartini participated in the UQ-University of Zurich (UZH) Symposium: Challenges and Opportunities for Social and System Change, presenting an update on the joint UQ-UZH project on Digital Deliberative Democracy (d3-project.ch) funded by the Swiss National Science Foundation, and as well as serving as the expert responder for the UQ-UZH public lecture A Toolbox for Human-AI Collaboration in Lifespan Health Analysis.
Empowering Learners in the Age of AI
On 8 October, CIRES CI A/Prof Hassan Khosravi moderated a panel as part of the free 2025 on Empowering Learners in the Age of AI.
Hassan moderated this panel with Professor Jason M. Lodge (The University of Queensland), Dr Aneesha Bakharia (The University of Queensland) and Peter Xing (Microsoft) as distinguished panellists, bringing deep expertise and diverse perspectives to this important conversation.
Why this matters
The use of Large Language Models (LLMs) has demonstrated clear performance gains for students. Yet performance is only part of the story. Scholars caution that polished outputs may come at the expense of genuine learning, as students risk offloading critical thinking and problem-solving to AI. This panel explores how we can move beyond productivity to design AI learning companions that prioritise learning gains over performance gains, nurturing curiosity, understanding, and deeper engagement.
