On 23–24 June 2025, the FishEUTrust team proudly took part in the R&I for a Competitive Green Transition conference in Brussels, a key satellite event of the European Research and Innovation Days. You can read the full article here.
Our Partners met at IPMA in sunny Olhao, Portugal, from 12-14 November. The meeting comprised not only the project review, but also a cross-polination workshop with other Living Labs, a tour of the IPMA aquaculture facilities, and also a demonstration day showcasing some of the project innovations to stakeholders. You can read the full article here.
IPMA, as partner of the FishEUTrust project, was represented by two team members (Laura Ribeiro and Carlos Cardoso) in the XXVth Seminar in Aquaculture of APA (organized by the Portuguese Association of Aquaculture) on the 10th May 2024 in Peniche (Portugal).
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Every year, the Jozef Stefan Institute (JSI) organizes an Open Day to give the public an insight into the work of the JSI. This year FishEUTrust was represented.
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In this article, our partners REDINN and AquaBioTech Group discuss their experiences at the satellite event at Ocean Decade organised by SEA2SEE on seafood literacy and consumer engagement.
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In this article, our partner AquaBioTech Group (ABT) discusses their experiences at and participation in the Ocean Days conferences held in Brussels between 4-8 March.
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In this article, we focus on our project partner DigitalSmart, an SME based in Montenero, and how they will be developing smart sensors and data systems for use in the seafood supply chain for importants aspects such as water quality and transportation.
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The Aqua Nor 2023 bi-annual conference was between 21st – 23rd August in Trondheim, Norway. Along with the tradeshow and fair, a student camp was developed to reach as many students as possible who were curious about the aquaculture industry and wanted to contribute with ideas for sustainable development.
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Colleagues at the Jožef Stefan Institute have just recently released a paper in Nature entitled "From language models to large-scale food and biomedical knowledge graphs". In this study, the performance of three state-of-the-art relation-mining pipelines (FooDis, FoodChem and ChemDis) is evaluated to extract relations between food, chemical and disease entities from textual data.
Read the full paper here