The JURIX 2013 doctoral consortium is a new initiative to attract and promote Ph.D. research in the area of Artificial Intelligence and Law.
The goals of the Doctoral Consortium are to:
- provide fruitful feedback and advice to selected Ph.D. students on their research projects;
- provide the opportunity to meet experts from different backgrounds working on topics related to the AI & Law and Legal Information Systems fields;
- interact with other PhD students and stimulate an exchange of ideas and suggestions among participants;
- provide the opportunity to discuss concerns about research, supervision, the job market, and other career-related issues.
To be eligible for the Consortium a candidate must be a current doctoral student within a recognized university. Ideally, the candidate should have at least 8-12 months of work remaining before expected completion. The participants of the Doctoral Consortium are also strongly encouraged to register for and attend the main conference. The author(s) should be Ph.D. student(s); tutors or professors should not be included as co-authors.
The accepted thesis descriptions will be presented to an interested audience and subject to discussion with a panel of senior researchers on December 14th, at the end of JURIX 2013 conference.
We expect submissions addressing any of the JURIX 2013 topics.
Accepted submissions will be published in CEUR Workshop Proceedings online.
Students are invited to submit an original description of their work addressing the following aspects:
- A clear formulation of the research question.
- An identification of the significant problems in the field of research.
- An outline of the current knowledge of the problem domain, as well as the state of existing solutions.
- A presentation of any preliminary ideas, the proposed approach and the results achieved so far.
- A sketch of the applied research methodology.
- A description of the Ph.D. project’s contribution to the problem solution.
- A discussion of how the suggested solution is different, new, or better than existing approaches to the problem.
Thesis descriptions are limited to 10 pages in English using LNCS format without the copyright sentence (http://www.springer.de/comp/lncs/authors.html)
and submitted electronically in PDF format jointly with a maximum 3 page CV.
Please submit to:
- Paper submission:
October 7th, 2013 (11:59PM, UTC-12) NEW! Extended at October 31th
- Notification of acceptance/rejection: November 4th, 2013
- Camera-ready copy due: November 25th, 2013
Monica Palmirani (CIRSFID-University of Bologna)
Giovanni Sartor (CIRSFID-University of Bologna, EUI)