RuleML+RR 2023

the 7th International Joint Conference on Rules and Reasoning

Oslo, Norway

18 - 20 September 2023

Doctoral consortium

General Information

The RuleML+RR 7th Doctoral Consortium 2023 (DC) is an initiative of the RuleML+RR community to attract and promote student research in Artificial Intelligence, especially research on rule-based formalisms and reasoning in such formalisms. It offers students a close contact with leading experts in the field, as well as the opportunity to present and discuss their ideas in a dynamic and friendly setting. This DC is organized as part of Declarative AI 2023: Rules, Reasoning, Decisions, and Explanations (Oslo, 18-20 September 2023).

We invite PhD students at an early or intermediate stage of their PhD studies, as well as exceptional master’s students who are interested in pursuing a PhD, to submit papers describing their research on any of the topics of RuleML+RR 2023 (see


RuleML+RR DC papers range between 8 and 15 pages, are written in English, and follow the style template CEURART (1-column variant) available at They are submitted electronically in PDF together  with a maximum 2 page-long CV (the paper and the CV should be submitted together as one PDF file, but the CV is not counted within the 15 pages limit and is not published in the proceedings if the paper is accepted). Please submit your paper and CV file by the link

using the RuleML+RR Doctoral Consortium 2023 track (if you do not have an EasyChair account, you can sign up at

The submission should cover the following aspects:

The accepted DC papers will be presented to an interested audience and will be discussed with a panel of senior researchers from academia and the industry. Students will present their work through brief oral presentations during a dedicated session of RuleML+RR 2023.

The best paper will be awarded the RuleML+RR Best Doctoral Consortium Paper award 2023.


Accepted papers will be published online as part of proceedings, which are broadly indexed (e.g., by SCOPUS) and listed in standard bibliographic databases of the field (e.g., DBLP).

Important Dates

For each of these deadlines, a cut-off point of 23:59 AOE applies.



Dörthe Arndt‬, TU Dresden, Germany

Egor V. Kostylev, University of Oslo, Norway

‪Davide Lanti‬, Free University of Bozen-Bolzano, Italy

Program Committee 

Adrian Paschke, Freie Universität Berlin, Germany

Alexander Steen, University of Greifswald, Germany

Guohui Xiao, University of Bergen, Norway

Magdalena Ortiz, Vienna University of Technology, Austria

Nick Bassiliades, Aristotle University of Thessaloniki, Greece

Shqiponja Ahmetaj, Vienna University of Technology, Austria

Thanks to our sponsors