[DL] [ECAI 2020] Tutorial proposals due by 20 February 2020

Claudia d'Amato claudia.damato at uniba.it
Mon Feb 17 16:20:19 CET 2020

** Apologies for cross-postings **

24th European Conference on Artificial Intelligence (ECAI 2020)
Santiago de Compostela, June 8-12 2020


ECAI 2020 invites submissions for tutorial proposals. Tutorials will be held on June 8-9, 2020, 
immediately prior to the technical conference. Tutorial attendance is complimentary for all ECAI 
2020 conference registrants, whilst it is not possible to attend only tutorials.

ECAI 2020 hosts two kinds of tutorials: a) “standard” half-day tutorials; b) 90-minute “spotlight” 
tutorials. Spotlight tutorials are meant to address emerging areas, techniques, methodologies and 
perspectives in AI or specialized topics. Standard tutorials are meant to cover rather established 
areas of AI such as (but not exclusively) Machine Learning, Knowledge Representation and Reasoning, 
Semantic Web, Natural Language Processing, Multi-Agent Systems, Robotics, as well as topics in the 
overlap of such research areas.

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 audiences 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 elements.  ECAI 2020 grants one 
free registration per tutorial.

     Proposal Submission Deadline: 20 February 2020
     Acceptance Notification: 20 March 2020
     Abstracts, Syllabus and Tutorial Websites: 7 April 2020

The deadlines are 23:59 UTC-12.

Tutorial proposals should be submitted through EasyChair: 

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 format of the tutorial: standard (half-day) or spotlight (90-minute)
     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 
ECAI audience, and which of the above objectives are best served by the tutorial.
     A brief resume of the presenter(s), which should include:
         Name, affiliation, 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

We encourage proposals of brand-new tutorials, as well as tutorials that have already been 
successfully offered before, or that are also being proposed to other venues (e.g., other major AI 
conferences). In that case, the application should include a complete list of such venues.

Any questions about the tutorial program should be directed to the tutorial chairs: Meghyn Bienvenu 
and Claudia d’Amato. Contact email: tutorials-chairs at ecai2020.eu

Prof. Claudia d'Amato, PhD
Associate Professor
Dipartimento di Informatica - LACAM-ML Lab
Università degli Studi di Bari Aldo Moro (ITALY)

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