Data Science DK - Conference

Wednesday, March 29, 2017 -
09:00 to 16:00
DTU, Anker Engelundsvej 101 A, Glassalen, 2800 Kgs. Lyngby
Experience leading Danish data scientists on recent progress in algorithms, machine learning and visualization for data-driven innovation at the annual DABAI conference.



Professor Bjarne Kjær Ersbøll, Head of Department, DTU Compute


DABAI – Danish Center for Big Data Analytics Driven Innovation
CEO, Professor Ole Lehrmann Madsen, DABAI, The Alexandra Institute

09.40   Data Series Management: The Next Challenge
Professor Themis Palpanas, Dept. of Computer Science, Paris Decartes University

Efficient algorithms for flood risk analysis
Professor Lars Arge, Dept. of Computer Science, Aarhus University

10.45   Coffee break
11.00   Big Data Challenges in the Education Industry
Professor Stephen Alstrup, PhD Student Christian Hansen
& Postdoc Dang Ninh Pham, Dept. of Computer Science, University of Copenhagen

11.25   Visual analytics
Professor Kaj Grønbæk, Dept. of Computer Science, Aarhus University
11.50   Three DIKU Open-Source Machine Learning Tools
Professor Christian Igel, Dept. of Computer Science, University of Copenhagen
12.15   Lunch
13.15   Machine learning as a service - what can be automated?
Professor Lars Kai Hansen, DTU Compute
13.40   Danish Business Administration - case story
Post doc Allan Grønlund, Dept. of Computer Science, Aarhus University
13.55   Semantics and sentiment in a small language
Senior researcher Finn Årup Nielsen, DTU Compute
14.10   Young scientist presentations
14.50   Coffee break
15.05   Young scientist presentations


  Deep learning
Professor Ole Winther, DTU Compute
16.15   Goodbye


Download full program

List of participants

Contact person: Sine Ingemann, DTU Compute, +45 45253409,

The conference was supported by Innovation Fund Denmark


See the presentations and list of participants from the annual DABAI Conference 29 March 2017