Data and modelling
Responsible training data collection and modelling practices support useful, secure and fair artificial intelligence systems.
Responsible training data collection and modelling practices support useful, secure and fair artificial intelligence systems.
A strong and resilient economy is essential to the country’s long-term success and to helping weather global and national changes and natural disasters. Energy security and renewable energy sources provide better economic stability and ensure the nation’s autonomy. The strategic and responsible development of New Zealand’s natural resources enables economic growth and activity. Under this outcome, we also make important contributions to three pillars of Going For Growth (Pillar 2: Competitive business settings, Pillar 3: Promoting global trade and investment and Pillar 5: Infrastructure for growth).
This document provides a summary of submissions on the draft Critical Minerals List for New Zealand (the List). Consultation on the List started on 15 September and closed on 10 October 2024. Insights from submissions were considered by MBIE officials and Wood Mackenzie and informed advice to the Minister for Resources.
This section provides an overview of key innovation trends currently reshaping the global construction landscape. It also features local examples applying and adapting these trends.
University of Otago is receiving Smart Ideas funding for the following projects.
Domestic consumption of oil products remains steady, with declines in commercial sector use counteracting an increase in residential and agricultural use. International transport fuel use continues to increase as travel recovers from the impacts of the coronavirus (COVID-19) pandemic.
26 Nationally Significant Collections and Databases are directly funded by MBIE for $22 million (excluding GST) to June 2027.
The building consent system has long been faced with complaints of inefficient, inconsistent and ineffective decisions and processes. These typically involve frustrations with delays and inconsistencies and result in finger-pointing about poor-quality work and decision making.
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