- From: Claudia d'Amato <claudia.damato@uniba.it>
- Date: Mon, 17 Feb 2020 16:20:19 +0100
- To: destinatari nascosti: ;
** Apologies for cross-postings ** 24th European Conference on Artificial Intelligence (ECAI 2020) Santiago de Compostela, June 8-12 2020 www.ecai2020.eu CALL FOR TUTORIAL PROPOSALS ==================== 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. FORMAT 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. 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 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. IMPORTANT DATES 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. SUBMISSION INSTRUCTIONS Tutorial proposals should be submitted through EasyChair: https://easychair.org/conferences/?conf=ecai2020tutorials 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 POLICY ON MULTIPLE SUBMISSIONS 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. CONTACT Any questions about the tutorial program should be directed to the tutorial chairs: Meghyn Bienvenu and Claudia d’Amato. Contact email: tutorials-chairs@ecai2020.eu -- Prof. Claudia d'Amato, PhD Associate Professor Dipartimento di Informatica - LACAM-ML Lab Università degli Studi di Bari Aldo Moro (ITALY) http://www.di.uniba.it/~cdamato/
Received on Monday, 17 February 2020 15:20:38 UTC