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Seed project: Programming social robots - a tool for learning in the multilingual primary school The aim is to contribute to teachers' capacity to work with programming social robots in classrooms…
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Seed project: Using Natural Language Models for Extracting Drug-Related Problems (NLMED) The overall goal of the research in this seed project within the Linnaeus University Center for Data Intensive…
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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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Digital Tools and Digital Competence in Preschool and School Teaching We conduct research on what happens and what becomes possible when digital tools are used in preschool-class and school teaching,…
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Project: Study of Scaling Up and Modeling early number Innovation (SUMI) The aim of the project is to develop a model for implementing a scientifically based innovation on mathematics for children 1-3…
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Project: In-line visual inspection using unsupervised learning The purpose of this project is to introduce and improve machine learning- assessment of the quality of massproduced industrial (steel)…
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Project: HPC for SME The aim of the project is to provide small and medium-sized enterprises (SMEs) in the Linnaeus region with the opportunity to enhance their data-driven capabilities with the…
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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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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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Project: Science4Girls This project intends to design and implement learning activities withing the theme of climate change that encourage girls to enroll in science, technology, engineering, and…
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Project: Efficient planning of hydropower systems In a future scenario, Sweden's production of electricity will consist of a larger share of intermittent types of energy production. Based on this,…
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Project: Optimization with PDE constraints Partial differential equations (PDEs) are used to model a multitude of phenomena in science and engineering. PDE-constrained optimization problems arise in…
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Project: Mapping of the conditions for efficient remanufacturing of furniture used in public environments We want to increase the knowledge about circular economy and remanufacturing of furniture…
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Project: Becoming a mathematics teacher (BeMT): The role of teacher education In this project, the aim is to explore the role of mathematics teacher education and the mathematics teacher educator in…
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AI and machine learning for optimization and operations research Under this research theme, we develop both mathematical theory and applications for artificial intelligence and machine learning in…
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Project: Algorithms for reinforcement learning Reinforcement learning is a hot area in machine learning and artificial intelligence. It is the basis for development in robotics, image recognition,…
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Project: Reliability optimization With increased automation, electrification and conversion to renewable energy supply, high costs arise in connection with downtimes and unplanned maintenance of…
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Project: Programming and mathematics – sensemaking and communication in teaching mathematics The aim of this project is to contribute to increased knowledge and understanding of the way to improve…