In today's society sensors, computers, communication platforms and storage technologies give us access to previously unmanageable volumes of data, so-called Big Data. The conversion of data into actionable knowledge creates new opportunities and significant economic values. Big Data has revolutionized both the commercial world and research in many areas, and has opened up for new interdisciplinary collaborations.
The Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) addresses data-driven methods to gain deeper knowledge and understanding in a variety of applications in engineering, science and humanities. Research in computer science, media technology, signal processing and statistics represents the technical core of the center. Combined with research from application fields, such as astrophysics, engineering, linguistics, social science and eHealth, we create a unique dynamics.
Exploiting data to gain manageable information and useful knowledge is not a research venture alone. Consequently, there is also a large collaboration interest in industry and the public sectors. DISA works closely with several clusters and networks representing the IT and heavy vehicle industries, the health sector and municipalities and agencies. These partnerships combine excellent research with practical solutions to specific challenges in society, for the mutual benefit of researchers of different scientific areas and of external partners.
The Linnaeus University Centre for Data Intensive Sciences and Applications embraces the following research groups.
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…
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…
Data Intensive Digital Humanities The research area Data Intensive Digital Humanities within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is a network that brings toge…
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…
eHealth – Improved Data to and from Patients The research in the eHealth area within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) will result in novel ways for systema…
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…
Information Institute (iInstitute) The information field, or the iField, resorts to interdisciplinary approaches to enrich and facilitate generation, transfer and curation of data, information, and kno…
Visual Analytics for Engineering Smarter Systems (VAESS) Visual Analytics for Engineering Smarter Systems (VAESS) is a research area within the Linnaeus University Centre for Data Intensive Sciences an…
Wood and Building Technologies Within the research area Wood and Building Technologies, the objective of Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is to create more…
- Using Virtual Reality, large corpuses can be analysed in new, smart ways News
- Doctoral student in English linguistics awarded best poster prize News
- The first doctoral student at Data Intensive Sciences and Applications is in place News
- Big Data means many possibilities to collaborate with industry News
Around thirty researchers from different disciplines at Linnaeus University constitute the critical mass within DISA. The scientists are divided into seven groups led by the following researchers.
- Andreas Kerren Professor
- Giangiacomo Bravo Professor
- Göran Petersson Professor
- Johan Bergh Professor
- Marcelo Milrad Professor, Vice-dean
- Mikko Laitinen Professor
- Morgan Ericsson Senior lecturer
- Sabri Pllana Senior lecturer
- Welf Löwe Professor
- Yvonne Becherini Associate Professor