IJCAI-2017 Call for Tutorials
The deadline has passed, and the list of accepted tutorials has been announced.
IJCAI-17 invites proposals for the Tutorial Track. Tutorials will be held on August 19-21, immediately prior to the technical conference. Tutorial attendance is complimentary for all IJCAI-17 conference registrants.
Objectives:
Tutorials should serve one or more of the following objectives:
- Introduce novices to major topics within Artificial Intelligence.
- Introduce expert non-specialists to an AI subarea.
- Motivate and explain a topic of emerging importance for AI.
- Survey a mature area of AI research and/or practice.
- Provide instruction in established but specialized AI methodologies.
- Present a novel synthesis combining distinct lines of AI work.
- Introduce AI audience to an external topic that can motivate or use AI research.
- Mentor AI researchers (particularly, junior researchers) on a broad AI-relevant non-technical topic (examples could be AI jobs, or ethical issues in AI).
Tutorials are intended to cover reasonably well-established information in a balanced way. Tutorials should not be used to advocate a single avenue of research, nor should they promote a product. We encourage tutorials with a hands-on component or other interactive element. We also welcome tutorials with explicit ties to IJCAI-2017's theme of AI and Autonomy.
Key dates:
- Proposal Submission Deadline: November 22nd, 2016
- Acceptance Notification: January 9th, 2017
- Title, Abstract, and Speaker Biography Deadline: March 6th, 2017
- Syllabus and Course Handouts Posted: June 12th, 2017
- IJCAI-17 Tutorials: August 19-21
Submission Instructions:
Tutorial proposals should be submitted
here.
Proposals must be submitted as a single PDF file containing the following information:
- A two-sentence description of the tutorial, suitable for inclusion in the conference registration brochure.
- A two-paragraph description of the tutorial, suitable for a web page overview.
- Proposed length of the tutorial: 1/4 or 1/2 day (one or two 1:45h slots respectively)
- A detailed, point-form outline of the tutorial.
- A brief characterization of the potential target audience for the tutorial, including prerequisite knowledge.
- A brief description of why the tutorial topic would be of interest to a substantial part of the IJCAI audience, and which of the above objectives are best served by the tutorial.
- A brief resume of the presenter(s), which should include:
- Name, postal address, phone number, e-mail address
- Background in the tutorial area, including a list of publications/presentations
- Citation to an available example of work in the area (ideally, a published tutorial-level article or presentation materials on the subject)
- Evidence of teaching experience (courses taught or references)
- Evidence of scholarship in AI or Computer Science
Any questions about the tutorial program should be directed to the tutorial chairs,
Andreas Krause (https://las.inf.ethz.ch/krausea) and
Kevin Leyton-Brown (http://cs.ubc.ca/~kevinlb).