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Dragonfly: Thematic analysis in the age of AI
October 2024: Many organisations have large amounts of written text. Thematic analysis allows the topics in documents to be summarised, clustered, and analysed.
Large Language Models like ChatGPT have burst onto the scene, bringing Artificial Intelligence (AI) to everybody's fingertips. Language models generate text in a way that is almost miraculous. In order to carry out this trick, they first need to learn about text by reading it. To process text, language models rely on an underlying technology that translates text into numbers. Called an embedding, this technology represents sentences or paragraphs as numbers, in a way that similar concepts end up numerically close to each other. The embedding provides a mapping from concepts or themes into numbers.
Because of the richness of language, with the same word having different meanings in different contexts, generating this embedding is a tricky process. It needs to be able to understand that while 'dog' might often go with 'canine', 'hot dog' is more likely to be close to 'hamburger'.
Image: Dragonfly Data Science.
Aqualinc: Shallow groundwater - a threat and an opportunity
October 2024: Cantabrians are acutely aware of the damage caused by liquefaction during the 2010/11 earthquakes. While most of this damage occurred in urban areas, rural areas were also affected, depending on groundwater depth and soil properties.
Despite these risks, data on shallow groundwater is limited, especially outside Christchurch's central city. However, Christchurch City Council now routinely collects groundwater depth data, a crucial step for city planners and engineers to mitigate risks such as liquefaction and other threats to property and health posed by shallow groundwater.
What is less known is that shallow groundwater can also be beneficial as a source of irrigation water. This largely unrecognised resource can support primary production in some areas, either through drainage water use or in-situ use of shallow groundwater. Drainage water has been utilised for irrigation on parts of the lower Canterbury Plains for decades.
Photo: Aqualinc.
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Welcome to the Independent Research Association of New Zealand
IRANZ is an association of independent research organisations. IRANZ represents the collective interests of members by undertaking activities aimed at creating a positive operating environment for Independent Research Organisations in New Zealand.
IRANZ member organisations make vital contributions to a broad range of scientific fields, and offer an important complement to university-based and Crown Research Institute research. Our smaller sizes and greater flexibility provide an environment that is particularly conducive to innovation and end-user engagement.
IRANZ member organisations:
- Are ‘independent’ (non-government owned);
- Carry out high-quality scientific research, development or technology transfer;
- Have strong linkages with end-users;
- Work in a diverse range of settings and subject specialities;
- Derive a significant portion of their work from Government research contracts;
- Collaborate with universities, Crown Research Institutes and research departments of industrial organisations; and
- Having varying governance and ownership arrangements.
Find out more about IRANZ and our members by checking out our News page.