Guatemala fights arsenic pollution with supercomputing
Researchers in Guatemala used RedCLARA’s BELLA II supercomputing testbed to model how shrimp-shell polymers bind arsenic, advancing scalable water-cleaning solutions.
Researchers in Guatemala used RedCLARA’s BELLA II supercomputing testbed to model how shrimp-shell polymers bind arsenic, advancing scalable water-cleaning solutions.
The NOCOS DT project delivers daily sea ice risk forecasts for Arctic shipping, combining Copernicus data and modelling to support safer navigation and operations.
Japanese researchers transferred a courtship behavior between fruit fly species by rewiring neural circuits through a single gene, revealing genetic roots of behavior.
An AI platform developed with support from Brazil’s NREN RNP helps universities identify students at risk of dropping out and intervene earlier to improve retention.
Brazil has made all academic diplomas digital, using a blockchain-based system developed with support from the NREN RNP to issue, validate and preserve credentials.
Finland’s NREN CSC has developed a carbon footprint model for digital services, showing hardware manufacturing dominates emissions and guiding more sustainable data storage.
Using DeiC’s Interactive HPC, researchers analysed millions of patents to show how even small mismatches in scope and description can hinder innovation.
NTRO is using Globus via AARNet to move and analyse large road survey datasets in near real time, helping improve safety and efficiency across transport networks.
The Opin.fi service brings open studies from Finnish universities and universities of applied sciences into one searchable national platform for learners.
BCNET, CANARIE and Internet2 enabled over 1 Tbps of scientific data transfer from Canada to the SC25 supercomputing conference, showcasing global research network collaboration.
Brazil’s NREN RNP helped deploy a certified electronic health record system across 45 federal university hospitals, improving security and patient care.
A KENET-backed team in Kenya uses diffuse reflectance spectroscopy and machine learning to detect pesticide residues on produce in minutes.
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