[Event at CIG] 2nd CfP: SAIS’23 - The 35th Swedish AI Society’s annual workshop, 12-13th of June, Karlskrona, Sweden

[Maria Hedblom]

*(apologies for possible cross-posting)*
2nd CfP: SAIS’23 - The 35th Swedish AI Society’s annual workshop, 12-13th
of June, Karlskrona, Sweden

We invite you to submit papers to SAIS 2023, The Swedish AI Society’s
annual workshop 2023. It will be hosted in Karlskrona, Sweden, on June
12-13, 2023. The event is hosted by BTH - Blekinge Institute of Technology,
and is planned to be an on-campus event in Karlskrona, Sweden.

SAIS was formed in 1982 and the annual workshop has seen a growing number
of participants joining from all over Sweden, the Nordic countries and
internationally. During the workshop, the scientific program consisting of
paper presentations and keynote speakers is intermixed with networking
opportunities with both academics and industry partners as part of the
event's social program. This year's conference dinner will take place at
the Naval Museum in Karlskrona.

At writing point, we have two confirmed keynote speakers:

   - Prof. Diego Calvanese, one of the world-leading experts in knowledge
   representation and semantic technologies from the Free University of
   Bozen-Bolzano (IT) and Umeå University (SE) where he acts as a
   Wallenberg Guest Professor.
   - Dr Judith Bütepage, a machine learning expert and robotics enthusiast
   with experience in both the academic and industry sector currently
   working as a research lead at SEED at Electronic Arts (SE).


For submitting to SAIS'23, we invite four types of contributions from all
areas of AI research, from Sweden and the rest of the world:


   -

   6-10 pages full paper describing original contributions. General
   descriptions of current ongoing projects are also acceptable. This category
   will be published in the proceedings of SAIS 2023 unless the authors choose
   to opt-out of this.



   -

   2 pages extended abstracts of papers published by or submitted to other
   AI venues, e.g. AI journals and AI conferences, within the last 12 months.
   These will not be included in the proceedings, but can still be presented.



   -

   2 pages extended abstract describing the industrial application of AI,
   demonstrating use cases that can leverage machine learning and AI
   techniques in a real-world setting. The first author should be from the
   industry.



   -

   2 pages extended abstract describing ongoing Ph.D. projects (the first
   author has to be a Ph.D. student). The problem statement and research
   question/s have to be clearly introduced and motivated.


The program committee will review all the papers and extended abstracts.
The accepted contributions will be presented either as oral presentations,
practical demonstrations or poster sessions.

All papers will be carefully reviewed by the program committee. Accepted
papers will be published in the electronic workshop proceedings (more
details will be communicated). Copyright stays with the authors and authors
of previously unpublished papers accepted to the SAIS workshop are
encouraged to submit these to other workshops or conferences. All
submissions should be in PDF and must be written in English using the Latex
template available here
<https://easychair.org/account/signin_timeout?l=ySNItsJpCRaeDnirdKPTwU>

All papers and abstracts should be submitted through EasyChair, see the
workshop webpage for the URL.

Please find more information about the workshop at:
https://www.bth.se/forskning/forskningsomraden/datavetenskap/sais-23/
<http://www.bth.se/sais23>
Important dates:

Submission deadline: 2023-03-31

Notifications of acceptance: 2023-04-23

Camera ready (tentative): 2023-05-14

Conference:  2023-06-12 – 13
Organizing Committee

Martin Boldt, BTH, martin.boldt at bth.se

Anton Borg, BTH, anton.borg at bth.se

Veselka Boeva, BTH, veselka.boeva at bth.se

Håkan Grahn, BTH, hakan.grahn at bth.se

Maria Hedblom, Jönköping University, maria.m.hedblom at gmail.com

Lukas Thode, BTH, lukas.thode at bth.se
Steering Chair

Fredrik Heintz, LiU, fredrik.heintz at liu.se