KI2022 takes place in Trier, Germany, September 19 – September 23, 2022. KI2022 is the 45th edition of the German conference on Artificial Intelligence (abbreviated KI for “Künstliche Intelligenz”) organized in cooperation with the Fachbereich Künstliche Intelligenz der Gesellschaft für Informatik (GI-SIG AI). KI is one of the major European AI conferences and traditionally brings together academic and industrial researchers from all areas of AI, providing an ideal place for exchanging news and research results on theory and applications. The technical program of KI2022 comprises paper presentations as well as tutorials and a workshop.
There will be a PhD workshop with a keynote and oral presentations during the KI conference, providing an opportunity for obtaining feedback. Doctoral students may also participate in a mentoring program that will connect students with experienced researchers in their field. The organizers will try to schedule personal meetings between mentors and students. Students can indicate their interest in this program when submitting their contribution, or directly by contacting the organizers. The schedule of the meetings will be announced ahead of the event. The organizers plan to publish extended abstracts as proceedings of the PhD workshop, either as part of the main conference proceedings or with CEUR (pending).
Additionally, there will be the opportunity to participate in the main conference poster session where the participants will have the chance to present their research to a larger audience.
To facilitate a fruitful exchange of knowledge and to activate interesting discussions, we want to emphasize the fact that you can also join the StudentDay track to listen to their keynote and talks. More information on the technical aspects of that will follow shortly.
To apply for the KI2022 doctoral consortium, please submit the following documents (in a single pdf file) to the EasyChair submission system (https://easychair.org/conferences/?conf=ki2022; Track Doctoral Consortium) until July 15, 2022.
An abstract of your thesis, formatted according to the KI guidelines (LNCS/LNAI), that describes the problem being addressed, the motivation for addressing the problem, related work, the proposed approach, and planned or already executed evaluation. Target length of the abstract is 3–5 pages, including references.
A short CV that covers background (name, university, supervisor), education (degree sought, year/status in a degree, previous degrees), employment, and experience in research (publications, presentations, conferences attended) of max. 2 pages.
Please indicate in your application if you want to participate in the mentoring program.
The extended abstract could be structured in the following way:
Abstract submissions should be in English and must have a single author who is pursuing the proposed PhD.
July 15, 2022