Community

NeSI provides a range of services, people, expertise, and information to help computational research projects become reality

An example of the imagery used by Jono Conway's research group to study the topography of an area.

Understanding the impacts of future warming in the Antarctic

"It definitely feels like we had a head start on the project and could jump straight into our science."
Photograph of a stream in a field

Building a data repository that's responsive to researcher needs

NeSI and Genomics Aotearoa are consulting with researchers to guide the ongoing development of a new data repository for genomic data.
Photo of a New Zealand beach coastline.

How metadata is helping support New Zealand conservation and Indigenous data sovereignty priorities

"Nationally, and as a global citizen, we are under increasing pressure to make informed decisions regarding commercial and recreational activities, and how they can be balanced with the protection of our marine ecosystems. "
Ultrasound picture of the heart in four chamber view.

Machine learning for clinical decision making

"Through the Consultancy with NeSI, I was able to develop my code to be far more efficient."
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Quantifying uncertainty in palaeoecological data

"During the consultancy I learned a great deal about how to program efficiently, implement unit testing, and how seemingly tiny changes to a script can have a great effect on the required time and computer resources."
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Improved tracking of land cover changes

James Shepherd wanted to reduce the turnaround time for processing his data, so he applied for a Consultancy project with NeSI research software engineers.
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A screenshot of an interpolation simlulation run by researcher Tom Etherington.

Supporting ecological research through enhanced interpolation capability

“I will now be able to make better maps of environmental variables, and hence much better models of species distributions."
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Crashes and quakes at NZ Research Software Engineering Hackathon 2020

“The driving force wasn’t so much the problem itself, but the need to share expertise across New Zealand. We wanted to elevate the software community’s skills and our own.”
A close up view of rain drops hitting a road.

Predicting precipitation using machine learning

"NeSI experts introduced new technical ideas and tools which we will use and implement elsewhere."
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