
Centre for Data Science and Artificial Intelligence

The New Zealand AI & Data delegation’s European programme advanced with a significant and insightful series of engagements in Paris. The delegation had the privilege of engaging with some of France’s leading AI institutions and researchers, exploring collaboration opportunities across fundamental research, medical AI, environmental science, and agritech.
Highlights from the Paris programme included:
PR[AI]RIE-PSAI: Presentation and discussion with Prof. Jean Ponce on the Institute’s multidisciplinary AI research ecosystem, integrating foundational AI with applications in health, environmental science, multi-agent systems, ethics, and more. The session concluded with a guided tour of the robotics lab.
CNRS: An insightful briefing from Jalal Fadili on France’s national AI strategy, highlighting CNRS’s strong commitment to fundamental research, talent development, advanced infrastructure and supercomputing, and deep interdisciplinary collaboration.
PostGenAI@Paris Sorbonne Université: Presentations on AI cluster strategy, next-generation AI initiatives, AI-driven medical research, and cutting-edge work applying AI to MRI for brain disease detection.
École Polytechnique, Saclay: Our host, Prof. Jesse Read, and delegate Te Taka Keegan jointly opened the session, focusing on strengthening Europe–NZ cooperation in AI for agritech and environmental science. Delegation lead Stephen MacDonell outlined New Zealand’s AI research landscape and its strategic synergies with Horizon Europe, while Yun Sing Koh shared advances in streaming machine learning for real-time environmental and agricultural analytics. The meeting concluded with a collaborative discussions exploring shared research themes, PhD exchange opportunities, and potential pathways for Horizon Europe projects.
Télécom Paris: In a parallel session at Saclay, a portion of the delegation attended discussions focused on AI applications in healthcare. The session provided opportunities to explore collaborative research in medical AI, exchange ideas on emerging technologies, and identify potential partnerships.
A huge thank you to our Paris hosts for their generous exchange of ideas and genuine enthusiasm for collaboration, which provided the delegation with valuable insights, inspiration, and concrete opportunities to strengthen international research partnerships.
Next stops: Brussels and Munich — as we continue building strong international partnerships in AI and data science.
MBIE Science and Innovation Victoria University of Wellington Faculty of Science and Engineering, Victoria University of Wellington
Jeffrey Hsiao Yu Shyang Tan Katerina Taskova Jörg Wicker Samaneh (Sam) Madanian Michael Daubs, PhD Chris V. Jongmin Cho, Susanne Schmidt
23 Novembre 2025 à 07h14
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