SweDS is a national event with a focus of maintaining and developing Swedish data science research and its applications by fostering the exchange of ideas and promoting collaboration within and across disciplines. This annual workshop brings together researchers and practitioners of data science working in a variety of academic, commercial, industrial, or other sectors.

Past workshops have included presentations from a variety of domains, e.g., computer science, linguistics, economics, archaeology, environmental science, education, journalism, medicine, health-care, biology, sociology, psychology, history, physics, chemistry, geography, forestry, design, and music.

Submission Guidelines

Submissions will be peer-reviewed (single blind process) and selected based on relevance and quality. The following submission categories are welcome:

• Full papers: maximum 6 pages of content (plus up to 2 pages of references) to be included in the planned IEEE-published proceedings (upon acceptance and workshop presentation). Submissions for this track are required to be novel, previously unpublished works that are not under review for other conferences or publications during the SweDS review cycle. Full paper submissions must be prepared in English and they must use the IEEE conference paper template (LaTeX or Word; US Letter paper size; double column; conference mode on) available at https://www.ieee.org/conferences/publishing/templates.html . The authors of accepted submissions will be provided with further instructions for preparing camera-ready versions.
• Extended abstracts + posters: contributions for the non-archival abstract/poster track can be 1 page long. Acceptable submissions for this track include description of in-progress works, previously-published works, student proposals, or novel ideas. Submissions for this category are also expected to be prepared in English, and they are strongly encouraged to use the IEEE conference paper template listed above for the extended abstracts.

Topics

Theory, methods, and interdisciplinary applications of data science across a variety of domains, including computer science, linguistics, economics, archaeology, environmental science, education, journalism, medicine, health-care, biology, sociology, psychology, history, physics, chemistry, geography, forestry, design, and music, among others.

Committees

Workshop Chairs

• Dr. Rafael M. Martins (ISOVIS, Linnaeus University) (https://lnu.se/en/staff/rafael.martins/)
• Dr. Morgan Ericsson (DISTA, Linnaeus University) (https://lnu.se/en/staff/morgan.ericsson/)
• Prof. Dr. Danny Weyns (AdaptWise, Linnaeus University / KU Leuven, BE) (https://lnu.se/en/staff/danny.weyns/)

Organizing Committee

• Diana Unander (Linnaeus University) (https://lnu.se/en/staff/diana.unander/)
• Prof. Dr. Christian Engström (DSM, Linnaeus University) (https://lnu.se/en/staff/christian.engstrom/)
• Dr. Kostiantyn Kucher (ISOVIS, Linnaeus University / iVis, Linköping University) (https://lnu.se/en/staff/kostiantyn.kucher/)
• Romain Herault (Linnaeus University) (https://lnu.se/en/staff/romain.herault/)

Invited Speakers

• Prof. Dr. Alexandru Telea, Full Professor in Visual Data Analytics (https://webspace.science.uu.nl/~telea001/Main/HomePage)
• Prof. Dr. Per Runeson, Professor of Software Engineering (https://cs.lth.se/per-runeson/)
• Dr. Antonina Danylenko, Machine Learning Engineering Manager at Spotify (https://se.linkedin.com/in/antoninadanylenko)

Publication

All accepted full length papers, whose author(s) register and present their work at the workshop, will be included in the proceedings to be published by IEEE. The authors of accepted full length papers will also be invited to submit extended versions for a special issue of the journal Data (MDPI). A Best Paper Award will also be offered (courtesy of our partner Data).

Venue

SweDS21 will be hosted by Linnaeus University in Växjö, Sweden. The event will be fully online, with no publication/registration fees (thanks to our sponsors!). More details will be published eventually in the main conference website at https://lnu.se/en/SweDS21 .

Sponsors

• The main financial sponsor: Fortnox AB (https://www.fortnox.se/)
• The main technical sponsor: IEEE Computer Society, Swedish Chapter (https://site.ieee.org/sweden/c-chapter/)
• The media partner and sponsor of the Best Paper Award: MDPI Data (https://www.mdpi.com/journal/data)

Contact

All questions about submissions should be emailed to the technical program chair Dr. Kostiantyn Kucher (kostiantyn.kucher@lnu.se).