Aims and Scope
The WI PhD mentoring session (doctoral consortium) is meant to support PhD students working in the area of web intelligence. It offers a platform to researchers in all stages of their PhD studies to present and discuss their ideas in a professional academic environment. The program provides an opportunity to PhD students to interact with their peers as well as with experienced researchers in the field, and to receive valuable feedback on their work and advice for their future careers. In particular, each student will be assigned a member of the WI doctoral consortium committee, who is an experienced researcher in the relevant field and will be available for personal interactions during the day of the WI PhD mentoring session.
The main goals of the PhD mentoring session are
Topics of Web Intelligence
Track-1: Collective Intelligence
Track-2: Data Science
Track-3: Human-Centric Computing
Track-4: Knowledge Management
Track-5: Network Science
For more detailed information see:
Paper Submission and Publication
Submissions to the PhD mentoring session (PhD papers) should provide information on the following aspects of the PhD work:
PhD short papers are meant to be up to 4 pages long, written in English and formatted according to the in ACM 2-column publication format (https://www.acm.org/publications/proceedings-template). The selection process takes into account the quality of the submitted PhD short paper which will be peer-reviewed by members of the WI PhD mentoring program committee.
The PhD short papers must be submitted via the conference submission system:
All accepted PhD short papers will be assigned a slot for oral presentation during the WI PhD mentoring session. In addition, a selected set of these accepted papers describing original, unpublished work mature enough for publication may be included in the regular WI proceedings.