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Seed project: Investigate Machine Learning Techniques for Decision-Making Support in K-12 Educational Context The main aim of this seed application is to investigate the use and application of Machine…
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Seed project: Detecting ’signs of learning’ in six-year-olds’ meaning making about science through digital tools The main objective for this seed project within the Knowledge environment Digital…
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Seed project: European spruce bark beetles; advanced predictive forecasting by means of machine learning The main objective for this seed project within Linnaeus University Centre for Data Intensive…
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Seed project: ODXVR x NTS The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) was to submit an external funding application.…
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Seed project: User performance data from a video-based application/platform The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications…
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Seed project: A platform to collect and analyze canoe/kayak training data The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA)…
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Seed project: IoT for ships – an untapped data resource The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is to establish…
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Workshop: Higher Education in Digital Humanities and Social Sciences, Reykjavik 2024 This workshop is part of the annual conference Digital Humanities in the Nordic and Baltic countries (DHNB). It…
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Project: Thermo-Reversible Starch-based Adhesives for Wood Panels (Tresa) The Tresa project pursues a novel approach to develop reversible, bio-based starch adhesive systems for applications in wood…
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Project: STEM education on equal terms This project faces the challenge of giving pupils – independent of gender, social background or ethnicity – the possibility to participate in and utilize STEM…
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Project: Drone measurement for the intelligent forest We are to develop a system for collection of forestry information with drones that fly in the forest below the canopy. Based on video recording,…
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Project: Utilisation of renewable biomass and waste materials for production of environmental-friendly, bio-based composites The aim of this project is the development and testing of…
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Project: Sustainable use of virgin and recovered raw material streams for innovative bio-based products and business stimulation in Southern Sweden This project aims at increasing resource use…
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Project: QualityWBPs – Innovative treatments and adhesives for high quality, sustainable wood-based panels This project aims to develop less hygroscopic wood-based panels through the application of…
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Designing for Innovation and Learning (DIL) The Designing for Innovation and Learning research group does interdisciplinary research in the field of digital transformation within various domains.
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Astroparticle Physics The subjects of the Astroparticle Physics research group include hardware activities, data analysis and interpretation of results in the field of Very-High-Energy extra-galactic…
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Linnaeus University Centre for Data Intensive Sciences and Applications The DISA research centre at Linnaeus University focuses its efforts on open questions in collection, analysis and utilization of…
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Project: Energy Efficiency in Shipping The research in this project is conducted with an operational point of view, which means that using measured data from ships in operation is in focus. So far the…