Data Science community

The focus area Utrecht Applied Data Science builds a community of researchers who are interested in developing the field of data science. By joining forces and working interdisciplinarily, we can accelerate the development of data science techniques within Utrecht University. This includes introducing data science techniques in research areas where they are not yet applied.

Get involved!

Join one or more of our Special Interest Groups and other activities. Meet our ambassadors and check out the participating research groups.

Contact

Are you interested in collaborating with us or do you have any questions about Utrecht Applied Data Science? Please contact us.

Contact details of ambassadors and participating research groups.

Follow us on Twitter.

Twitter Utrecht Applied Data Science


Special Interest Groups

Utrecht Applied Data Science is starting up interdisciplinary Special Interest Groups (SIGs) with the objective of sharing knowledge and facilitating collaboration. A SIG is a community of colleagues with a shared interest in advancing a specific area of knowledge, learning or technology where members cooperate to produce solutions in their particular field. The SIGs are open to UU researchers and other interested parties. Check out which SIG(s) might fit your needs:


Other activities

Events

Daniel Oberski
9 May 2019 11:30 - 12:30
A lecture by Daniel Oberski about support vector machines.
© iStockphoto.com
10 May 2019 12:30 - 17:30
On Friday 10 May the Data Science & Complexity Center Summit will take place in Utrecht.
Peter van der Heijden
6 June 2019 11:30 - 12:30
A lecture by Peter van der Heijden about unsupervised learning.
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News

Albert Salah
1 April 2019
As of 1 April, Albert Ali Salah is appointed as Professor of Social and Affective Computing at the Department of Information and Computing Sciences.
Special Interest Group Imaging
27 March 2019
The focus area Applied Data Science welcomes a new Special Interest Group: Imaging.
8 March 2019
As of 1 March, Yannis Velegrakis has been appointed as Professor of ‘Very Large Data Management’ at the department of Information and Computing Sciences.
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