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Predicting which visa applications to fast-track
We built a prediction service to allocate visa applications to either fast track or review track streams, based on previous decisions. Handling applications appropriately brings faster and more reliable decision-making.
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Better report production one step at a time
Our work with the Ministry for Primary Industries replaced a manual production process with an automated system. New data can now be piped in to recreate each year’s National Exotic Forest Description – this is significantly faster, cheaper and more accurate than building the report from scratch using Word, Excel and InDesign.
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A new language processing app
Machine learning methods are ideal for classifying streaming data rapidly. We developed Kōkako, a language monitoring app to identify different languages broadcast on radio stations in New Zealand. Kōkako won a Best Design Award in 2016.
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Expert knowledge combined fairly
We created an online survey to map the distribution of four species of sea turtle in the Pacific Ocean. The maps fed into simulations of turtle interactions with fisheries that were produced at an international workshop.
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Sensible, well-built data management systems
Robust analysis of well-managed data is critically important to fishers and fishery managers in New Zealand. We support a commitment to collecting better data – and getting more value from that data – to benefit our fisheries.
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Automating data input and verification
Each year, detailed data is collated by the 40,000 or so resource consent applications made to New Zealand’s district and regional councils. This information is critical for understanding how the resource management act is functioning in New Zealand.
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Ongoing data collection and analysis
The New Zealand pāua (abalone) fishery is a $50 million export industry. We carry out analysis of pāua fisheries to provide information that is critical for responsive, well-informed management.
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New tools to figure out who's eating who
A good understanding of marine predator-prey relationships is important for managing fisheries. Using statistical analysis we can model the strength of interactions between different species to help decide how much of a predator or prey species can be harvested without adversely affecting the other.
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Repeatable, automated reporting
We used our expertise in reproducible reporting to improve a team’s data analysis processes. This saved significant time and effort in their regular report production.
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Risks to seabirds were quantified
The National Plan of Action—Seabirds sets out the policy for managing interactions between fisheries and seabirds. Our seabird risk assessment underpins that policy - it supports the prioritisation of management actions and provides clear metrics for assessing the performance of the fishing industry.
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Technical review of a population study
We reviewed a koala population study, checking that the report authors had used appropriate spatial modelling and data analysis methods, and that its conclusions were fair.
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Statistical analysis for effective management
Our statistical analysis enabled fisheries managers to make a decision about which method was the most effective at reducing the number of albatross killed in trawl fisheries.
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Displaying information beautifully
This project put data on New Zealand’s regional economies online, making the information widely available. We created a desktop version and iPad and mobile apps to help people explore the numbers.

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