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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: 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: 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: 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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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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Scientific Computing and Partial Differential Equations Within this research theme, we study numerical methods for partial differential equations, analysis of differential and pseudo-differential…
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Digital Humanities Digital humanities is an interdisciplinary field of study that represents a bridge between the arts and humanities and information technology.
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Mechanical Engineering The research in the field of mechanical engineering is broad and has its main focus in six areas: structural dynamics, material science, industrial economics, terotechnology,…
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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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Smarter Systems We want to build systems that are a little smarter, that is, systems that make decisions independently and adjust to become a little better at solving their tasks. Our research and…
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Composite elements and hybrid structures Composite elements and hybrid structures are the youngest research field of the Department of Building Technology. The focus of this research is to combine…
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Deterministic and Stochastic Modelling The research field Deterministic and Stochastic Modelling within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) brings together…
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Small-scale forestry The Small-scale forestry research group develops educational concepts and conducts research projects related to small-scale forestry and forest ownership. The Department of…
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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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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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Project: Construction systems for resource-efficient and low-carbon buildings in a lifecycle perspective A key goal of this project was to generate new scientific knowledge on how the production phase…
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Project: Wood based energy systems from Nordic forests (Enerwoods) The goal of this project was to combine energy systems and biological systems to optimise the complete bioenergy chain, considering…