Leiden Centre of Data Science (LCDS) is a network of researchers from different scientific disciplines, who use innovative methods to deal with large amounts of data. Collaboration between these researchers leads to new solutions for problems in science and society.
Big data is everywhere: a constantly increasing amount of data is being produced worldwide. How can we transform this ocean of data into a sea of knowledge? Data Science, a quickly rising scientific discipline, forms the answer to this question. It trains researchers to discover and analyse meaningful patterns in data, and to convert these into useful information. Methods from Data Science are important in order to maintain a competitive edge in research, not only in the field of Computer Science, but in all academic domains.
At Leiden Centre of Data Science, we bring together researchers from a range of different scientific disciplines. LCDS serves as a knowledge hub for researchers who are interested in using innovative approaches and techniques for dealing with large amounts of data. We offer the expertise and facilities that are needed for this type of research.
We build bridges both within and outside academia. Many of our research partners are corporate and governmental organisations, such as BMW, the Netherlands Forensic Institute and UN Global Pulse. We highly value these collaborations, for our aim is to generate smart and innovative solutions to problems that are relevant in society.
Leiden Centre of Data Science was founded in 2014 as an initiative of the Faculty of Science at Leiden University. Its Board of Directors consists of Jaap van den Herik (professor of Computer Science and Law), Jacqueline Meulman (professor of Applied Statistics) and Joost Kok (professor of Computer Science).
Research at Leiden Centre of Data Science covers a wide range of topics and is connected to many different academic disciplines.
The common denominator of all these projects is their use of innovative ways to collect, analyse and validate large amounts of data. Our research projects fall into two broad categories: fundamental and applied research.