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Project: Educational Technology in Schools The project aims to change teachers' everyday practice and improve students' school results. This will be done by means of data-driven support and analysis…
Doctoral project: Visual analytics for explainable and trustworthy machine learning This doctoral project aims to develop foundational principles, techniques, and tools for visual analytics, for…
Doctoral project: Multivariate network embedding for visual analytics This doctoral project aims to explore the use of embedding technologies for visual and computational analytics on large…
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.
Project: Teaching Computational Thinking with Digital Devices (TACTIDE) This project deals with the support and empowerment of teachers to integrate problem-solving strategies with the help of digital…
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…
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…
Doctoral project: Visual learning analytics to support teachers’ pedagogical work This doctoral project features a collaboration with a number of EdTech companies that develop digital learning…
Project: Digital Competence in Teacher Training in the Nordic Countries (Dicomten) The purpose of this project is to establish a new Nordic network about the promotion, practice and development of…
Seed project: Towards a data-driven approach to ground-fault location The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is…
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.…
Seed project: Developing the Skeleton Avatar camera Technique (SAT) as a rapid, valid and sensitive measurement of mobility in elderly persons The main objective for this seed project within Linnaeus…
Seed project: Smart-Troubleshooting in the Connected Society The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) was to…
Seed project: Vibration-based strength grading of sawn timber The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) was to…
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…
Seed project: Development of an intelligent wearable – the DIWAH study The overall goal of the research in this seeding project within the Linnaeus University Center for Data Intensive Sciences and…
Seed project: Implementation knowledge as comissioned training - A step towards the national investment in Lifelong Learning The overall aim of this seed project within Knowledge Environment Linnaeus…