New Big Data research centre in Denmark
26 2月 2016
Research & education
With a 17 million euro budget, the new national research centre DABAI will discover Big Data based solutions for issues such as predicting floods, ensuring more efficient patient journal handling and facilitating personalised learning support to schoolchildren, over the next four years.
Innovation Fund Denmark has launched Danish Center for Big Data Analytics driven Innovation (DABAI). The aim of this initiative is to make Denmark a pioneer in exploiting the full potential of big data.
Flooding, learning support and better food quality
The new big data centre will use big data for the benefit of citizens, private companies as well as public and governmental institutions involved in making decisions on Denmark’s digital development.
The DABAI is expecting to create systems that can:
- Offer personalised learning support to schoolchildren based on analysis of typical learning patterns.
- Predict floods and reduce the negative impact of climate change.
- Ensure more efficient patient journal handling in health systems.
- Provide better trackability and quality of foods.
- Reduce administrative costs and create growth in the production sector.
A public private partnership
The partnership involves the departments of computer science at the University of Copenhagen, Technical University of Denmark and Aarhus University, as well as the companies Systematic, Visma and BusinessMinds. Public authorities include the Danish Agency for Digitisation, the Danish Business Authority and Central Denmark Region. The Alexandra Institute is project coordinator. Furthermore, a wide range of other private and public organisations will be joining DABAI in connection with case activities.
DABAI’s scientific focus areas include:
- Creating algorithms for optimising processes and enhancing the speed of data flow.
- Using Machine Learning for diagnostic purposes such as in medical science and industrial processes.
- Using large interactive visual displays for data analysis and management.
Read more at the University of Copenhagen’s website.