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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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Computational Social Sciences The research in the area Computational Social Sciences within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is about producing and analyzi…
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Data Intensive Astroparticle Physics The research area Data Intensive Astroparticle Physics within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) works with the detectio…
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Data-driven Software and Information Quality Within the research area Data-driven Software and Information Quality, the objective of Linnaeus University Centre for Data Intensive Sciences and Applicati…
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Forestry, Wood and Building Technologies Within the research area Forestry, Wood and Building Technologies, the objective of Linnaeus University Centre for Data Intensive Sciences and Applications (DIS…
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High-Performance Computing Center (HPCC) The High-Performance Computing Center (HPCC) offers computational and storage resources to help researchers to solve big computing and big data problems. Beside…
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Project: Modelling institutional dynamics in historical commons (MIDI) The MIDI project adopts an interdisciplinary perspective to contribute empirically-grounded and systematic knowledge of the mechan…
- The university’s new Linnaeus University Centre presented at Chinese Big Data conference News
- Big Data means many possibilities to collaborate with industry News
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Project: Drone measurement for the intelligent forest We are to develop a system for collection of forestry information with drones that fly in the forest below the canopy. Based on video recording, va…
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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 submit an external f…
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Developing the Skeleton Avatar camera technique as a rapid, valid and sensitive measurement of mobility in COPD patients treated in primary care The main objective for this seed project within Linnaeus…
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ODXVR x NTS: Exploring the Nordic Tweet Stream in Virtual Reality The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) was to s…
- Using Virtual Reality, large corpuses can be analysed in new, smart ways News
- Noise can be cleverly classified using a cheap computer News
- Giangiacomo Bravo Professor
- +46470708782
- giangiacomobravolnuse
- Morgan Ericsson Associate professor
- +46470767872
- +46725941748
- morganericssonlnuse
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Big Data Conference 2018 Welcome to our 4th annual Big Data Conference at Linnaeus University.