AI Governance • Data Strategy • Digital Trust • Research & Practice
Submit an Abstract
Submit original research, applied case studies, policy analysis, governance frameworks, technical work, implementation studies, or practice-based contributions aligned with enterprise AI, data governance, model lifecycle controls, risk, compliance, privacy, cybersecurity, responsible data use, digital trust, and identity. Abstracts are reviewed for relevance, clarity, quality, and alignment with the conference themes. Submit by 31 October 2026.
- Relevance to the congress scope and audience.
- Scientific, policy, technical, or professional value and practical impact.
- Clarity of objectives, structure, and expected outcomes.
- Feasibility within the agenda and session design.
- Non-promotional, discussion-first approach.
Abstract Submission Form
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Need help preparing your abstract?
If you have a strong topic but want support structuring it for practical outcomes, send the team a short outline and we can guide you on the most suitable format.