October 15–16, KTH, Stockholm Sweden

The Swedish Workshop on Data Science (SweDS) is a national event aiming to maintain and develop data science research and its application in Sweden by fostering the exchange of ideas and promoting collaboration within and across disciplines. SweDS brings together researchers and practitioners working in a variety of academic, commercial or other sectors, and in the past has included presentations from a variety of domains, e.g., computer science, linguistics, economics, archaeology, environmental science, education, journalism, medicine, healthcare, biology, sociology, psychology, history, physics, chemistry, geography, forestry, design, and music.

SweDS19 is organised by the School of Electrical Engineering and Computer Science, KTH.


SweDS focuses on theoretical and applied aspects of data science in many disciplines, e.g., Computer Science, Linguistics, Economics, Education, Medicine, Healthcare, Biology, Sociology, Psychology, Physics, Chemistry, Geography, Forestry, Art and Music, Design, etc. Topics include, but are not limited to:
• Text & Web Mining
• Classification, Clustering, and Regression
• Probabilistic & Statistical Methods
• Graphical Models
• Spatial & Temporal Mining
• Data Stream Mining
• Feature Extraction, Selection and Dimension Reduction
• Data Cleaning, Transformation & Preprocessing
• Multi-Task, Multi-label, and Multi-output Learning
• Big Data, Scalable & High-Performance Computing Techniques
• Mining Semi-Structured or Unstructured Data
• Data privacy

Invited Speakers

• Professor Virginia Dignum (Department of Computing Science, Umeå University)
• Professor Michael Höhle (Department of Mathematics, Stockholm University)
• Professor Sven Ahlbäck (Kungliga Musikhögskolan, CEO på Doremir Music Research AB)
• Anders Arpteg (Principal Data Scientist, peltarion.com)
• Dr. Josephine Sullivan (Division of robotics, perception and learning, KTH)
• Dr. Margaret Schedel (Stony Brook University, NY, USA)

Submission Guidelines

We invite academic researchers as well as industrial researchers and practitioners to present their work either by giving a talk or poster/demo track. 1) Contributed talk (15-20 minutes incl. questions/discussion): submit abstract (400-500 words) in one of the following categories: original research, new/relevant challenge, or status report of ongoing work; 2) poster/demo track: submit short abstracts (200-300 words), and mark “submit for poster” or “submit for demo” in abstract. Abstracts will be screened and selected based on relevance and quality.

Submissions should be made here: https://easychair.org/conferences/?conf=sweds19

Important Dates:

• SEPTEMBER 15 2019: Submission deadline
• SEPTEMBER 20 2019: Notification
• OCTOBER 4 2019: Registration deadline (https://www.eventbrite.com/e/2019-swedish-workshop-on-data-science-tickets-63426090143)
• OCTOBER 15-16 2019: Workshop!

Organizing committee

• Dr. Bob L. Sturm, workshop chair (Division of Speech, Music and Hearing, KTH)
• Ronald Cumbal Guerron, registration (Division of Speech, Music and Hearing)
• others TBD

Program Committee

• Professor Hedvig Kjellström (Division of robotics, perception and learning, KTH)
• Professor Danica Kragic Jensfelt (Division of robotics, perception and learning, KTH)
• Professor Sten Ternstrom (Division of Speech, Music and Hearing, KTH)
• Dr. Hossein Azizpour (Division of robotics, perception and learning, KTH)
• Dr. André Holzapfel (Division of media technology and interaction design, KTH)
• others TBA


Speech, Music and Hearing division, EECS, KTH


All questions about submissions should be emailed to bobs@kth.se

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