ESSAI & ACAI-2023 follow on the footsteps of ACAI (Advanced Course on AI) and the TAILOR Summer School on AI. ACAI is organized since 1985 under the auspices of EurAI, The European Association for Artificial Intelligence, and ACAI-2023 will be its 20th edition. The TAILOR Summer School on AI is associated with the EU Project TAILOR (Foundations of Trustworthy AI – Integrating Reasoning, Learning and Optimization). Its first edition in 2021 was standalone and virtual and in 2022 it was organized in Barcelona together with ACAI. This third edition is special as it grows into ESSAI-2023, The First European Summer School on AI.
ESSAI & ACAI-2023 will take place at the Faculty of Computer and Information Science, University of Ljubljana. They will comprise 30 courses/ tutorials, presented in six parallel tracks. ACAI-2023 will offer 10 invited tutorials (of 2x90min each) on the topic of AI & Science, while ESSAI-2023 will offer 20 courses (of 5x90min each) on all topics of AI, solicited through an open call for course proposals and selected by an international program committee.
ESSAI-2023 will take place at the Faculty of Computer and Information Science, University of Ljubljana. It will have five parallel tracks, each comprising four courses. Each course will consist of five 90 min sessions (one on each day during the week). A total of 20 courses will be included in ESSAI, to be selected among the proposals solicited by this call.
The European Summer School in Artificial Intelligence (ESSAI) is a new annual summer school held under the auspices of the European Association for Artificial Intelligence (EurAI). ESSAI builds on initiatives of the EU project TAILOR, and the 1st edition of ESSAI is simultaneously the 3rd edition of the TAILOR Summer School. The ambition of ESSAI is to become the central meeting place for students and young researchers in Artificial Intelligence to discuss current research and share knowledge.
ESSAI will provide an interdisciplinary setting in which courses are offered in all areas of Artificial Intelligence and also from wider scientific, historical, and philosophical perspectives. The format of ESSAI is analogous to the European Summer School in Logic, Language and Information (ESSLLI), which has been running since 1989. Courses will consist of five 90-minute sessions, offered daily (Monday-Friday) in a single week, to allow students to develop in-depth knowledge of a topic.
ESSAI aims to cover all sub-disciplines of AI and the interactions between them.
Proposals for courses at ESSAI 2023 are invited in all areas of Artificial Intelligence, including but not limited to the following:
Each proposal should fall under one of the following categories: foundational, introductory or advanced course.
Foundational courses present the basics of a research area to the students with no prior knowledge in that area. They should be at an elementary level, without prerequisites in the course’s topic, though possibly assuming a level of general scientific maturity in the relevant discipline. They should enable researchers from related disciplines to become comfortable with the fundamental concepts and techniques of the course topic, thereby contributing to the interdisciplinary nature of our research community.
Introductory courses are central to ESSAI’s mission. They are intended to introduce a research field to students, young researchers, and other non-specialists, and to foster a sound understanding of its basic methods and techniques. Introductory courses should enable researchers from related disciplines to become competent in the course topic. Introductory courses that are cross-disciplinary may presuppose general knowledge of the relevant disciplines.
Advanced courses are targeted primarily at graduate students who wish to acquire an understanding of current research in a field of Artificial Intelligence.
To be considered, course proposals should closely adhere to the following guidelines:
Proposals must be submitted in PDF format via: https://easychair.org/conferences/?conf=essai2023 and include all of the following:
To keep participation fees to a minimum, all the instructional and organizational work of ESSAI is performed on a completely voluntary basis. However, the registration fees of organizers and instructors will be waived, and travel and accommodation expenses will be reimbursed up to a level which will be communicated along with the proposal notification. ESSAI can only guarantee reimbursement for at most one course lecturer, and can not guarantee full reimbursement of travel costs for lecturers from outside of Europe. The organizers of ESSAI would appreciate any help in reducing the School’s expenses by seeking partial or complete coverage of travel and accommodation expenses from other sources.
By Jan 24, 2023:
Proposers must submit on EasyChair at least the name(s) of the lecturers(s), the ESSAI
area+course level and a short abstract.
By Jan 31, 2023:
Submission must be completed by uploading a PDF with the actual proposal as detailed above.
Please submit your proposals to https://easychair.org/conferences/?conf=essai2023
ESSAI & ACAI 2023 will gather AI researchers, students and industry experts from all over the world. We invite you to participate in the event as a sponsor and exhibitor. This will provide an excellent opportunity to present your brand to some of the world’s brightest minds working in artificial intelligence and machine learning – areas at the forefront of the world’s most exciting technological changes. Your brand will additionally be exposed to thousands of viewers and readers through media reports on the event. By participating in the event you will also have access to networking opportunities with the attendees of ESSAI & ACAI.
With your support you will allow us to organise a high-end event and to expand participation at ESSAI & ACAI 2023 by, e.g., providing support to students and junior researchers for their participation. This will in turn allow you to increase your brand awareness in the high-tech labour market.
For more information, download brochure or contact Vida Groznik (vida.groznik@fri.uni-lj.si).
© IJS - Department of knowledge tehnologies Last update: 2023-01-19