Jana Makar

NeSI Case Study Anna Garden University of Otago

Understanding the structure of gold and platinum nanoclusters

"These calculations create a large number of files; NeSI was able to store these files and help us navigate them."
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NeSI Case Study Celine Cattoen Gilbert NIWA river forecast

New Zealand’s first national river flow forecasting system for flooding resilience

"Without NeSI’s input, we would have been much more limited. We wouldn’t have been able to develop a national-scale system running in real-time."
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The keynotes are booked, preliminary programme is live, and pre-conference workshops are filling up for eResearch NZ 2020! Co-hosted by NeSI, Genomics Aotearoa, and REANNZ, eReseach NZ is New Zeala... Read more

Last October, multiple NeSI team members travelled to Brisbane to participate in the 2019 eResearch Australasia conference programme, themed 'eResearch Diversity'.Since then, NeSI has participated ... Read more

Please join us in welcoming the newest member to the NeSI team!Attribution:  Kim FrewKim joins the NeSI team’s Auckland office as Science Engagement Manager whilst Georgina Rae is on parental leave... Read more

NeSI Genomics Aotearoa Metagenomics Summer School

A partnership approach to building skills in New Zealand's genomics research sector

Together, NeSI and Genomics Aotearoa have the domain knowledge, technical skills, and motivation to address the skills gap facing New Zealand’s genomics and bioinformatics sector.
NeSI Case Study Cyprien Bosserelle NIWA

A fast model for predicting floods and storm damage

"Rendering this grid in the traditional way is not trivial – it would take longer to render the result than run the model each time I wanted to find errors. I approached NeSI and we started talking about visualisation."
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NeSI Case Study Yoshihiro Kaneko GNS Science Hikurangi

How multithreading and vectorisation can speed up seismic simulations by 40%

GNS Science researchers are producing detailed images of the 3D structure and geometry of the Hikurangi mega-thrust region using a technique called seismic tomography.
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NeSI case study Giacomo Giorli NIWA

Machine learning for marine mammals

“By understanding the abundance and distribution of different marine mammals in New Zealand, we can inform conservation policy, management of marine resources, licensing for offshore activity and create better environmental impact assessments.”
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As part of the NeSI and Genomics Aotearoa partnership to build and diversify digital skill capabilities for genomics researchers across New Zealand, NeSI was pleased to support Genomics Aotearoa’s ... Read more