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Research Collaboration

All our collaborative activities are based on a mixture of research frontier knowledge and challenges faced by the industry. Collaboration is based on having a close connection between theories and methods developed and used at Department of Computer Science and the reality and practical solutions that are the aim of the collaboration. Projects typically follow an experimental iterative approach resulting in proof-of-concept demonstrations, industrial strength prototypes, concrete analysis and methods, as well as research publications in premier venues.

The figure below illustrates a typical experimental industry oriented project life cycle.

At Department of Computer Science we emphasize multidisciplinary attitudes to research. We do not draw lines between the various strands of subjects and there is a lively interaction between all research areas. Problem-oriented and inter-disciplinary approaches characterize our research. It is our goal to maintain our position as one of the top research centres in Europe within both theoretical and experimental computer science.


MADE - Platform for Future Production

MADE – Platform for Future Production is an academic-industry collaboration which will pave the way for the development of new, efficient and enhanced types of production capable of making production in Denmark more competitive and attractive to companies and society at large. The platform will contribute to innovative, holistic, cross-functional and interdisciplinary solutions by leveraging new technologies, organizational forms, structures, and work systems.

Funded by: MADE is a SPIR project, funded by the Danish Council for Technology and Innovation.


EcoSense - Collective Sensing and Macroscopic Analysis Methods for Reducing Company- and Society-level Environmental Footprints

The objective of EcoSense is to develop novel collective sensing, macroscopic analysis and visualization methods for streams of semantically annotated (e.g. with location) measurement data from which climate impacts can be inferred. 

Funded by: The EcoSense project is funded by the Danish Council for Strategic Research.

Realistic large-area flood risk screening

Project with COWI and SCALGO on algorithms and software for efficient screening of flood risk from water collection in depressions and rising in rivers, as well as efficient update of such analysis when terrain data is chanced. Project e.g. led to very successful product Scalgo Live.

Funded by: Innovation Fund Denmark (formerly known as "Højteknologifonden")

Det dynamiske skybrudskort

The RealDania Klimaspring project lead by SCALGO on further developing SCALGO Live product for use in local government and utilities (product already sold to all major Danish engineering companies).

Project e.g include companies like Alien Workshop, COWI, NIRAS and the Alexandra institute, as well as Silkeborg & Odense municipalities, Aarhus Vand and Vandcenter Syd.

Funded by: Realdania

Efficient Handling of Massive Heterogeneous Terrain Data

Project on how massive amounts of detailed terrain data can be handled efficiently. Project partners included COWI (as data producer) and biology/environmental researchers (as data users). Project lead to efficient software for terrain model construction and simplification and for fundamental surface flow analyses. Results eventually lead to the start-up company SCALGO.

Funded by: The Danish Council for Strategic Research

CIBIS - Creativity in Blended Interaction Spaces

The CIBIS project develops and explores blended interaction spaces that support the creative potential of high-school students.

The project is a collaboration between Department of Computer Science, AU Faculty of Arts, CBS, Ørestadens Gymnasium, Viby Gymnasium, Viby Tekniske Gymnasium, Akademiet for Talentfulde Unge, DesignIT and LEGO.

Funded by: Programme Commission on Strategic Growth Technologies


The eGov+ project was a collaboration between Department of Computer Science and three Danish municipalities (Aarhus, Aalborg and Ringkøbing-Skjern), Aalborg University, the Alexandra Institute,  KMD, Logica and Scanjour.

Aim: Better public service through new use of IT research and technologies to create IT based collaboration between citizens and the public sector.

Duration: 2008 -2011.

Funded by: The Danish Council for Strategic Research

Caretech Innovation

Caretech Innovation was a four-year initiative on IT-based innovation in healthcare led by the Alexandra Institute. Department of Computer Science participated in seven projects including ‘Net4Care’ on infrastructure, ‘Optimized Brain reading’ on analysing brain scans, and ‘Health Barometer II’ on support for healthy living.

Net4Care developed a set of open source infrastructure tools. Tools that dramatically reduced the work involved in using the infrastructure developed in Connect2Care. The Net4Care tools are now part of the Danish telemedicine infrastructure.

In the Brain reading project Department of Computer Science in collaboration with The Alexandra institute, helped the Brainreader company improve the performance of their analysis algorithms from up to three hours to a few minutes per picture.

In Health Barometer, Department of Computer Science was involved in the development of prototypes based on field work and experiments. The work was later turned into the product Lifepal and marketed by a company of the same name.

Funded by: The Central Denmark Region and The European Regional Development Fund


In the Connect2Care project several health IT companies cooperated on a proposal for an open technical infrastructure for social and health services based on international standards. A special focus was on software ecosystems. The results were used in the Net4Care project. The national reference architecture for collecting health data published a year later, in 2013, was close to identical to the proposal of Connet2Care.

The participating companies were: IBM Danmark, Intel Sweden AB, KMD, Sekoia, Silverbullet and TDC.

Funded by: Ministry of Higher Education and Science


Following the publishing of the national reference architecture, Department of Computer Science and the Alexandra Institute got funding for a project that should demonstrate in practice that health data could indeed be exchanged between welfare tech solution in the home and electronic patient records using the infrastructure from Connect2Care and the tools from Net4Care. This was successfully demonstrated together with Sekoia and Systematic.

Funded by: Ministry of Higher Education and Science

Adaptive Data Correlation

Project with DSE airport solutions (now Insero) on algorithms and systems for air traffic management and analysis. Projects e.g. lead to a product used to analyze flight tracks around airports for traffic optimization purposes.

Funded by: DSE Airport Solutions (now Insero) and Innovation Fund Denmark (formerly known as "Højteknologifonden")


DABAI - Danish Center for Big Data Analytics driven Innovation

The aim of DABAI is to make Denmark a pioneer in exploiting the full potential of big data. In order to do this, DABAI offers a number of possibilities for additional companies and other organisations to exploit the possibilities for making use of data relating to their business. We offer different opportunities for cooperation:

MADALGO - Center for Massive Data Algorithmics

Center for Massive Data Algorithmics (MADALGO) is a basic research center funded by the Danish National Research Foundation. The center is a collaboration between researchers atAarhus University, Denmark, the Max-Planck-Institute for Informatics and Goethe-University Frankfurt am Main in Germany and the Massachusetts Institute of Technology (MIT) in  the US; the center cite is at Aarhus University.

The main motivation behind the center is the rapid increasing availability of massive high-quality data, and the Desire to be able to access and process this data on many diverse computing platforms. The main high-level objective of the center is to significantly advance fundamental algorithmic knowledge in the massive data processing area.

Impact: Some of MADALGOS basis result results were essential in the establishment of the startup company SCALGO  and in several SCALGO products. For example, MADALGO results are key to several SCALGO flood risk analysis products, just as SCALGO has performed work for the Danish Geodata Agency on official sea-charts for Greenland and contour maps for Denmark based on MADALGO research results. Center researchers continue to collaborate with SCALGO and have also collaborated with a number of other companies, including EIVA and Statoil (sonar data cleaning), Lufthansa systems (flight routing) and Draper Labs (Imaging), as well as research labs of AT&T, IBM, Intel, Google, Microsoft, Facebook and HP.

Funded by: The Danish National Research Foundation

CFEM - Center for Research in the Foundations of Electronic Markets

CFEM (Center for Research in the Foundations of Electronic Markets) is a research center committed to combining and advancing state-of-the-art of Computer Science and Economics. More specifically, CFEM deal with cryptography, algorithmics, complexity, game theory and mechanism design. 

Impact: The results will be used to design, analyze and implement new efficient and secure solutions for any type of electronic trading. This includes auctions, procurement, market regulation, cost allocation and new emerging types of markets on the Internet.

See also: "From basic research to applicable spin-off technology" (Case story)

CASA (Center for Advanced Software Analysis)

CASA conducts research in program analysis and web technologies, aiming to improve software quality and programmer productivity.

The center is supported by grants (totalling 4.2 M euros) from the European Research Council, the Danish Research Council for Technology and Production Sciences and the Danish Council for Independent Research. The research activities are additionally financially supported by IBM Research and Google.