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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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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: 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: 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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Workshop: Higher Education in Digital Humanities and Social Sciences, Reykjavik 2024 This workshop is part of the annual conference Digital Humanities in the Nordic and Baltic countries (DHNB). It…
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Project: Thermo-Reversible Starch-based Adhesives for Wood Panels (Tresa) The Tresa project pursues a novel approach to develop reversible, bio-based starch adhesive systems for applications in wood…
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Diversity in the labour market – A multidisciplinary research environment financed by the Swedish Research Council 2019–2024
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Project: Cascading effects of drought on farming/grazing and farmland biodiversity The impacts of drought and grazing on farmland biodiversity and productivity have seldom been studied in semi-natural…
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Project: Community-based prevention of domestic violence against women The project will assess the effectiveness of a community-based intervention for the prevention of widespread domestic violence…
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Project: STEM education on equal terms This project faces the challenge of giving pupils – independent of gender, social background or ethnicity – the possibility to participate in and utilize STEM…
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Governance, Ethics, and Corruption (GEC) Studying the bright side AND the dark side of public governance. The issues that we study broadly concern governance, challenges to sustainable democratic…
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Project: Reviews of educational research: epistemological, social and political effects This project was finished in 2017. Project information Project members: Daniel Sundberg (Lnu), Ingemar Bohlin,…
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Project: Theory-based evaluation of the national curriculum Lgr 11 This project was finished in 2014. Project information Project members: Daniel Sundberg, Ninni Wahlström Funding organizations: IFAU…
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Project: Learning Schools - Systematic School Improvement This project was finished in 2014. Project information Project members: Daniel Sundberg, Jan Håkansson, Carl-Henrik Adolfsson, Anna…
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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,…