Our universities and research institutes have very strong AI research that has a huge breadth and potential
We must invest in leveraging our strong AI research base to increase the competitiveness and productivity of Aotearoa New Zealand in a manner that suits our needs and priorities.
Building and strengthening mechanisms that efficiently disseminate AI expertise from research to industry has the potential to significantly increase productivity and prosperity for all of Aotearoa New Zealand
Research institutes, centres, labs, and groups
The mission of the Centre of Machine Learning for Social Good is to advance fundamental knowledge in machine learning and data analytics while addressing the most challenging and pressing health, environmental, and societal problems of our time. This is the first centre in Aotearoa focussing on social good by using machine learning in collaboration with domain experts as a catalyst to solve high-impact societal issues.
We have broad research interests across machine learning and its applications. Most applications can be summarized under the umbrella of computational sustainability, a strongly interdisciplinary research area that uses machine learning approaches to address sustainability challenges in Aotearoa and worldwide. We cover all areas of Machine Learning and have strong expertise in fields such as Online Learning, Lifelong Learning, Spatio-Temporal Data Mining, Adversarial Learning, or Ethics in AI.
The Centre brings together expertise and innovation from two schools: the School of Engineering and Computer Science and the School of Mathematics and Statistics. Our work includes a broad range of research projects and commercial work for clients across various application domains, as well as postgraduate teaching and supervision for Master’s and PhD students.
The Complex Systems, Big Data and Informatics Initiative (CSBII) at Lincoln University aims to transform the way we perceive and solve complex problems through trans-disciplinary integration of advanced domain knowledge and cutting-edge complex systems, big data and informatics methodologies to provide effective and flexible solutions to evolving grand challenges.
The NAOInstitute researches natural, artificial, and organizational intelligence and its impact on humanity's future. The Centre collaborates with global institutions, follows a collaborative innovation approach, and incorporates tikanga Māori. The Centre is transdisciplinary and aims to build strong relationships with hapū for inter-generational well-being.
The Institute takes an interdisciplinary and collaborative approach to the development of cutting-edge artificial intelligence (AI) research. Our goal is to build awareness and expertise across disciplines so we can better leverage AI for the benefit of our communities. As a team we are focused on real-time analytics for big data, machine learning and deep learning and have created some of the world's most popular open source tools for machine learning.
CAIPP is dedicated to exploring policy, regulation, ethics and governance associated with the implementation of artificial intelligence. We champion innovative and interdisciplinary research into the analysis of the costs and benefits of this important new technology. The Centre studies AI-related policies proposed and/or implemented internationally, and participates in the wide-ranging international investigation of the impacts of AI. It pays particular attention to evaluating policy options for New Zealand.
Recent research publications and insights
Coming soon!