WI/MATES Phd Mentoring 2017 : Joint PhD Mentoring track of IEEE/WIC/ACM International Conference on Web Intelligence 2017 (WI'17) and 15th German Conference on Multiagent System Technologies (MATES'17)
Call For Papers
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Call for papers for the Joint PhD Mentoring track
IEEE/WIC/ACM International Conference on Web Intelligence 2017 (WI'17)
15th German Conference on Multiagent System Technologies (MATES'17)
August 23-26, 2017, Leipzig, Germany
Association for Computing Machinery (ACM)
IEEE Computer Society
Web Intelligence Consortium (WIC)
Submission of PhD Mentoring Papers: May 14, 2017
Notification of PhD Mentoring Papers acceptance: Jun. 02, 2017
Camera-Ready Papers: Jun. 18, 2017
Main conference: Aug. 23-26, 2017
AIMS AND SCOPE
The WI/MATES PhD mentoring (doctoral consortium) is meant to support PhD students working in the area of web intelligence and/or multi-agent system technologies. 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 an experienced researcher in the relevant field who will be available for personal interactions during the day of the WI/MATES PhD mentoring track. More information is to be found on the WI or MATES homepages.
The main goals of the PhD mentoring session are
- to give PhD researchers an opportunity to get feedback and suggestion on their work from experienced researchers and their peers.
- to interact with other PhD researchers and to get an overview of the field of multi-agent systems.
- to get advice for their (academic) career.
- to provide networking opportunities.
SPECIAL PANEL DISCUSSION
In addition to individual mentoring this year's PhD mentoring will offer for all participants a plenary session. All participants will have the possibility to discuss with well-recognized researchers a current topic fundamental to virtually all fields of computer science, but also currently for a large number of other disciplines:
-- REPRODUCABILITY: A PROBLEM FOR AI RESEARCH? --
While at the first hand reproducibility does not seem to be an big issue in IT; as computers are deterministic machines, reproducing results from a calculation seems to be an rather easy issue. However, anyone who tried to re-implement an algorithm from a paper knows some of the difficulties. Often descriptions are abstract, and relevant parts have been omitted. Or our research is based on data sources. Often it is not clear, if the data really represents the total population, or is biased to one sub-group. Thus, even if, methods are well known, and can be re-implemented, using the same data set might be dangerous, as a conclusion might be induced by some bias in the available data. These and other question we will put at our panel, and discuss if with them, how proper research can look like in our fields.
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:
TOPICS of MATES
MATES 2017 covers all areas of intelligent agents and multiagent system technologies.
For more detailed information see:
Submissions to the PhD mentoring session (PhD short papers) should provide information on the following aspects of the PhD work:
- State of the Art
- Methodical approach
- Preliminary results/findings (optional
- Affiliation and contact details of the PhD supervisor
PhD papers can be up to 6 pages long, written in English and formatted according to the Springer LNCS style (see below). The selection process takes into account the quality of the submitted PhD short paper which will be peer-reviewed by members of the MATES PhD mentoring program committee.
The PhD short papers must be submitted electronically via e-mail to
Presentation and Publication:
All accepted PhD short papers will be assigned a slot for oral presentation during the WI/MATES PhD mentoring session. In addition, a selected set of these accepted papers describing original, unpublished work mature enough for publication will be included in the WI resp. MATES proceedings.
Doctoral Consortium chairs:
Alexander Pokahr (Universität Hamburg, DE)
René Schumann (HES-SO Valais Wallis, CH)