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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: 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: 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: 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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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: 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: 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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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: Sustainable maintenance of gravel road In this project, academia and local businesses collaborate in the development of a new concept for sustainable maintenance of gravel road, where new…
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Project: Smart Cities – Ready project The Ready project is a five year (2014-2019) international research project financed by the European Commission, focusing on implementing advanced energy…
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AdaptWise The AdaptWise research group conducts research on the foundations and engineering of self-adaptive software systems. The primary focus is on: i) dynamic architectures and runtime mechanisms…
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Data Intensive Software Technologies and Applications (DISTA) The research group Data Intensive Software Technologies and Applications studies data-driven approaches, such as machine learning,…
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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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Project: The research school Upgrade The research school Upgrade – teacher education and the digitalization of the school system is a national research school in which nine Swedish universities work…
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Linnaeus University Systems Community (LNU-STC) Linnaeus University Systems Community emphasizes Systems Thinking in research, education and practice. The community is part of the Linnaeus Knowledge…
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Doctoral project: How to Secure Multi-Vendor Data Flow Oriented Environments with ICT Governance and Systems Thinking This doctoral project consists of two parts: One ongoing licentiate thesis…
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Doctoral project: Supporting Synchronous Asymmetric Data Exploration using Virtual Reality within the context of Collaborative Immersive Analytics Immersive technologies, such as virtual reality,…
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Doctoral project: Reuse of health data, combing the best of two worlds A method for automatic generation of features with high predictive power based on domain knowledge.