Projects
Our clients are diverse and global, with ambitions to change the world. We help them shine.
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Rapid identification of avian flu viruses
Understanding avian influenza variants in New Zealand: a collaborative project between Dragonfly Data Science and the Ministry for Primary Industries
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Positive signs for silky shark in the Pacific
Dragonfly team member Philipp Neubauer worked with The Pacific Community (SPC) to more accurately assess the status of silky sharks in the Pacific Ocean.
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Validation of best practice for New Zealand's occupational therapists
We worked with the Occupational Therapy Board of New Zealand (OTBNZ) to help validate their best practice model through the analysis of eight years’ worth of textual data from their members.
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Cyclone Gabrielle impact map
This combined view of wellbeing data and the impacts of a severe weather event is a first for Aotearoa New Zealand.
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Faster, smarter analysis of public opinion
We worked with a team from the Ministry for the Environment and Ackama to enhance the ministry’s submission processing and analysis tool, Croissant.
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Major science report presented online
The interactive digital tool we built replaced the narrative-based Research, Science and Innovation System Performance Report. It was designed to be fast, beautiful and responsive.
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Climate change resilience of forests
Vibrant Planet develops tools for land management planning and monitoring to help increase the resilience of forests around the world. Our work with Vibrant Planet is producing data to support these tools.
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Antipodean albatross population model
Action to halt the estimated annual 5 percent decline of the Antipodean albatross population is essential. The integrated population model and app we created allow stakeholders to explore the effects of different threats and management strategies. This is intended to help guide decisions to secure the future of the species.
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Monitoring bycatch by recreational fishers
We created a pipeline to collect, verify, manage and visualise data about the accidental bycatch of marine protected species by recreational fishers. This data management system is helping DOC better understand interactions between fishers and protected species and informing management decisions.
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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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Open data on protected species
We worked with the Ministry for Primary Industries and the Department of Conservation to make information with high public interest available online.
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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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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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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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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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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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