The AI*IA 2016 DC will take place in Genova on November 29th, 2016.
The program and the papers are available here.
The AI*IA 2016 Doctoral Consortium provides an opportunity for doctoral students to explore and develop their research interests in the Artificial Intelligence field, in the broader sense, under the guidance of a panel of distinguished researchers from both academia and industry.
We invite students who feel they would benefit from this kind of feedback on their work to apply for this opportunity to share their work with students in a similar situation as well as senior researchers in the field.
The Doctoral Consortium has the following objectives:
- Provide a supportive setting for feedback on students’ current research and guidance on future research directions.
- Offer each student comments and fresh perspectives on their work from faculty and students outside their own institution.
- Promote the development of a supportive community of scholars and a spirit of collaborative research.
- Contribute to the conference goals through interaction with other researchers and conference events.
The authors of the accepted extended abstracts must attend the Doctoral Consortium and must be registered to the AI*IA Conference. Student participants will have their extended abstracts (5 pages) published in the CEUR Doctoral Consortium Proceedings, unless they explicitly ask their work not to be included for copyright or confidentiality issues. They will also be asked to prepare a poster of their work that will be exposed during all the conference days. The poster will include the student’s contacts (email, cell number, skype id) in order to allow any interested person to fix an appointment with the student and discuss his/her work.
Proposal Format and Submission
Submissions are invited from PhD students who would benefit from detailed workshop discussions of their doctoral research by a panel of established researchers. Exceptions might include students not yet enrolled in a PhD program, but that are strongly motivated to enroll in the next PhD cycle or students currently in a Master’s program and interested in doctoral studies. Funding for selected applicants may be available to offset some expenses.
Submissions should include the following:
- An extended abstract (see below).
- A curriculum vitae.
- A one-paragraph statement of expected benefits of participation.
Submit your extended abstract, the CV and the statement about expected benefits to email@example.com
Prepare a five-page extended abstract of your current or future research work (or on some specific issue) in the LNCS Proceedings Format. You must be the only author of the extended abstract and you must clearly state who is/will be your advisor. Your abstract will be evaluated with regard to:
- Originality of the work with respect to current concepts and techniques in the AI field.
- Importance of the work with respect to fundamental issues in the AI field.
- Rigor and validity of claims, argumentation, methodology, results, and interpretations.
- Clarity and persuasiveness of expression.
All received extended abstracts will be evaluated by the Doctoral Consortium Committee and authors will be notified regarding acceptance and form of presentation.
Topics of interest include (but are not limited to):
* Big Data
* Cognitive Systems
* Complex Networks
* Computer Vision
* Data Mining and Machine Learning
* Formal Methods for AI
* Information Extraction
* Knowledge Representation and Reasoning
* Semantic Web
* Multiagent Systems
* Natural Language Understanding and Processing
* Philosophical Perspectives
* Planning and Scheduling
* Search Methodologies
* AI and emotions
* Applications of AI
Extended abstract submission: September 10th, 2016
Notification: October 3rd, 2016
Camera-ready extended abstracts due: October 10th, 2016
Doctoral Consortium: November 29th, 2016