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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…
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…
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…
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,…
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…
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)…
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…
Scientific Computing and Partial Differential Equations Within this research theme, we study numerical methods for partial differential equations, analysis of differential and pseudo-differential…
Deterministic and Stochastic Modelling The research field Deterministic and Stochastic Modelling within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) brings together…
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…
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,…
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…
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…
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…
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…
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,…
Project: Reliability optimization With increased automation, electrification and conversion to renewable energy supply, high costs arise in connection with downtimes and unplanned maintenance of…
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…