Vision Mātauranga

Maori adults high fiving happy children

Vision Mātauranga is a New Zealand government science policy framework. Its mission is to unlock the science and innovation potential of Māori knowledge, resources and people for the benefit of all New Zealanders. Vision Mātauranga is integrated (kia kōtahi) into all Challenge activity and its way of working and thinking.

The Challenge is guided by ngā tikanga – a set of principles:

  • kia kōtahi mai – holisam and consideration of society beyond the Challenge
  • rapua te pae tāwhiti atu – looking beyond the horizon
  • kia whakapakari mai – developing and strengthening people, particularly the next generation
  • tūhononga – integration of people and processes
  • mana motuhake – an independent and self-determined approach
  • mana whakahaere – empowered leadership.

Vision Mātauranga guides researchers on how to embed purposeful and mutually beneficial relationships with Māori. It integrates western science and mātauranga Māori (knowledge) to explore new and exciting opportunities to build a vibrant and prosperous technology-driven economy.

The outcomes will be:

  • an international exemplar of two-way exchange of knowledge systems between Te Ao Māori (“the Māori world”) and western science and innovation
  • realising the potential of the Māori value chain (its businesses and assets) to grow the New Zealand economy
  • more Māori scientists and engineers working in the hi-tech research and business sectors.

A Kāhui Māori (advisory group) oversees Vision Mātauranga to ensure a Te Ao Māori view is embedded across the Challenge as a business-as-usual component.

Kāhui Māori board

Latest news and updates

Entrepreneur Kat Lintott joins SfTI Board

An entrepreneur with a passion for empowering people to make the world a better place through action has joined the Board of the Science for Technological Innovation National Science Challenge.

Meet the researchers: Will Browne - Artificial Intelligence from rat brains

Dr Will Browne, Associate Professor in the School of Engineering and Computer Science at Victoria University of Wellington, says modern artificial intelligence is still very easily fooled.

Meet the researchers: Jens Dietrich - Bugging out

Software problems do more than slow your computer down.  Your car won’t start, and for those who can remember back to Y2K, there’s the general fear that everything could suddenly screech to a grinding halt.