Swedish Workshop on Data Science
The 7th Swedish Workshop on Data Science (SweDS19) will be hosted by Kungliga Tekniska Högskolan (Royal Institute of Technology), Stockholm 15 and 16 October 2019.
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.
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.
Submission for conference
- September 15 2019: Submission deadline
- September 20 2019: Notification
- October 4 2019: Registration deadline
Registration for conference
- October 15-16 2019: Workshop
Times, speakers and presentations can be found in the SweDS19 program. .
Dr. Bob L. Sturm, workshop chair (Division of Speech, Music and Hearing, KTH)
Professor Benoit Baudry (Division of Software and Computer Systems, KTH)
Ronald Cumbal Guerron, registration (Division of Speech, Music and Hearing, KTH)
Elena Malakhatka (Division of Energy Technology, KTH)
- Professor Hedvig Kjellström, Division of robotics, perception and learning, KTH
- Professor Danica Kragic Jensfelt, Division of robotics, perception and learning, KTH
Professor Carlo Fischione, Division of Network and Systems Engineering, KTH
- Professor Rolf Stadler, Division of Network and Systems Engineering, 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
- Division of Speech, Music and Hearing, School of Electrical Engineering and Computer Science, KTH
- CASTOR Software Research Centre