Join us for an in-person Winter School offering hands-on AI training, interdisciplinary collaboration, and discussion of responsible AI practice for graduate students and early career researchers across all fields.
The Centre for AI, Trust & Governance (CAITG ) AI Winter School is an immersive four-day program hosted at the University of Sydney. Designed for graduate students, postdoctoral scholars, and early career researchers across all disciplines, the AI Winter School will provide practical training in state-of-the-art AI tools, research applications, ethical frameworks, and responsible practice.
Participants will gain hands-on experience with modern AI workflows, ranging from Python based LLM experimentation to agentic systems, while also engaging with critical perspectives on AI’s social, ethical, and institutional implications.
Dates: 27-30 July 2026 (4 days, Monday to Thursday)
Format: In person only, University of Sydney Camperdown Campus
Cohort size: 25 participants (by competitive application)
Application Requirements: Submit an Expression of Interest through our online form
Cost: The delegate registration is AUD $400 per person (including GST). To secure your place at the Winter School the fee is required to be paid upon offer of placement.
Travel & Accommodation: All travel and accommodation costs to attend are to be paid by the participant.
The CAITG Winter School is structured across four themed days.
Day 1 (Monday): AI for Research: Common Uses, Limitations, and What It Means for How We Train and Do Research Evidence-based overview of how researchers are using AI, what it can and cannot do, and the ethical, institutional, and human questions it raises: bias, authorship, creativity, apprenticeship, and the future of research training.
Day 2 (Tuesday): Technical Foundations: Python, LLMs, and AI Agents Beginner-friendly hands-on workshops covering Python fundamentals, fine-tuning and RAG, building AI agents, and AI-assisted development using state-of-the-art tools.
Day 3 (Wednesday): AI for Literature Review, Research Writing, and Grant Applications: Tools, Best Practices, and the Question of Authorship Best practices for AI-assisted literature reviews, practical writing sessions for grants and manuscripts, writing refinement, and a discussion on what authorship and originality mean when research is developed with AI.
Day 4 (Thursday): AI for Text Classification and Agent-Based Modelling: Analysing Data and Generating Synthetic Social Worlds Two hands-on technical workshops — LLM-based text classification and LLM-powered agent-based modelling.
Please note there will be pre-arrival requirements confirmed to selected applicants.
Applications close by 30 May 2026 – may be extended depending on applicants.
