ESSAI 2024 CALL FOR COURSE PROPOSALS

December 19th, 2023 Daniela Lopez de Luise

 

 

 

 

 

 

The 2nd European Summer School in Artificial Intelligence – ESSAI 2024

July 15-26, 2024

Athens, Greece

 

https://essai2024.di.uoa.gr/

 

IMPORTANT DATES

 

07 Feb 2024: Course Title submission deadline (mandatory)

14 Feb 2024: Final submission

06 Mar 2024: Notification

 

ABOUT

 

ESSAI 2024 is the second edition of the annual summer school on AI held under the auspices of the European Association for Artificial Intelligence (EurAI).  

 

ESSAI 2024 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. ESSAI is a central meeting place for students and young researchers in Artificial Intelligence to discuss current research and share knowledge. 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.

 

The first edition of ESSAI was held in Ljubljana, Slovenia (https://essai.si/ ) between the 24th and 28th of July 2023 and was extremely successful, attracting over 500 participants. We look forward to a second edition of ESSAI that is at least as successful. 

 

TOPICS AND FORMAT

 

ESSAI aims to cover all subdisciplines of AI and the interactions between them. 

Proposals for courses at ESSAI 2024 are invited in all areas of Artificial Intelligence, including but not limited to the following: 

 

  • Autonomous Agents and Multi-agent Systems (MAS)
  • Causality and Causal Learning (CL)
  • Ethical, Legal and Social Aspects of AI (ELS)
  • Foundation Models (FM)
  • Knowledge Representation and Reasoning (KR)
  • Learning Theory (LT)
  • Natural Language Processing (NLP)
  • Neuro-Symbolic Learning and Reasoning (NSLR)
  • Planning & Strategic Reasoning (PLAN)
  • Reinforcement Learning (RL)
  • Robotics (ROB) 
  • Safe, Explainable and Trustworthy AI (SET)
  • Search and Optimization (SO)
  • Supervised and Unsupervised Learning (ML)
  • Vision (VIS)

 

Each course will consist of five 90-minute lectures, offered daily (Monday-Friday) in a single week. 

 

While introductory courses will typically focus on one subarea of AI, introductory and advanced courses are encouraged to present a broader perspective on AI and should be of interest beyond one specific area.

 

CATEGORIES

 

Each proposal should fall under one of the following categories.

 

INTRODUCTORY COURSES

Introductory courses 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. Such courses should enable researchers from related disciplines to develop some comfort and competence in the topic considered. Introductory courses in a cross-disciplinary area may presuppose general knowledge of the related disciplines.

 

ADVANCED COURSES

Advanced courses are targeted primarily to graduate students who wish to acquire a level of comfort and understanding in the current research of a field.

 

PROPOSAL GUIDELINES

To be considered, course proposals should closely adhere to the following guidelines:

  • Courses must be presented by lecturers who submitted the proposal. For courses with more than two lecturers, the role of each lecturer should be clearly explained and justified in the proposal.
  • Course proposals should explicitly state the intended course category. Proposals for introductory courses should indicate the intended level, for example, as it relates to standard textbooks and monographs in the area. Proposals for advanced courses should specify the prerequisites in detail.

 

Proposals must be submitted in PDF format via:

 

https://easychair.org/conferences/?conf=essai2024

 

and include all the following:

  1. Personal information for each proposer: Name, affiliation, contact address, email, homepage (optional)
  2. General proposal information: Title, category
  3. Information about the course content:
    1. Abstract of up to 150 words
    2. Motivation and description (up to two pages)
    3. Tentative outline
    4. Expected level and prerequisites
    5. Appropriate references (e.g., textbooks, monographs, proceedings, surveys)
    6. Whether the course will appeal to students outside of the main discipline of the course
  4. Information about the proposer(s):
    1. Short CVs of the proposer(s)
    2. Evidence that the proposer(s) are excellent lecturers with relevant teaching experience, in particular in delivering intensive courses in an interdisciplinary setting. 

 

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. In addition, and where appropriate, ESSAI will seek to partially reimburse travel and accommodation expenses associated with delivering a course. If lecturers can cover their travel and accommodation expenses from other sources, this is greatly appreciated. 

 

SUBMISSION INFORMATION

 

By February 7, 2024: Proposers must submit on EasyChair at least the name(s) of the lecturers(s), the ESSAI area and course level and a short abstract.

 

By February 14, 2024: Submission must be completed by uploading a PDF with the actual proposal as detailed above.

 

SUBMISSION PORTAL

Please submit your proposals to

https://easychair.org/conferences/?conf=essai2024

 

ORGANIZING COMMITTEE

 

Chair: Brian Logan, Utrecht University

Co-chair: Magdalena Ortiz, TU Wien

Local Chair: Manolis Koubarakis, National and Kapodistrian University of Athens

ESSAI Steering Committee Chair (EurAI Board representative): Giuseppe De Giacomo, Oxford University

 

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Submissions are now open – KES AMSTA 24 call for papers – 19-21 June 2024 – Madeira

December 19th, 2023 Daniela Lopez de Luise

Click Here to Submit your Paper

Submissions are Open – Call for Papers – AMSTA 2024

AMSTA 2024: 18th International Conference on Agent & Multi-Agent Systems: Technologies & Applications

19-21 June, 2024 | Santa Cruz, Madeira, Portugal

http://amsta-24.kesinternational.org/


Part of KES Smart Digital Futures conference which groups AMSTA-24, IDT-24, HCIS-24, InMed-24, SEEL-24 and STS-24 at one venue. 

http://sdf-24.kesinternational.org/

Aim

KES-AMSTA is an international scientific conference for research in the field of agent and multi-agent systems. Agents and multi-agent systems are related to a modern software paradigm which has long been recognized as a promising technology for constructing autonomous, complex and intelligent systems.

Consisting of keynote talks by experts in the field, oral and poster presentations, KES-AMSTA-24 will provide an excellent opportunity for researchers to discuss modern approaches and techniques for agent and multi-agent systems and their applications, as well as intelligent systems in the field of social networks, self-organisation and trust. 

 

Dates, Conference and Publication

•       Submission Deadline: 15 January 2024

•       Acceptance Notification: 19 February 2024

•       Camera Ready Submission: 11 March 2024

•       Presentation at Conference: 19-21 June 2024

•       Publication: Springer; Series on Smart Innovation, Systems and Technologies

 

Scope

The AMSTA conference includes a broad range of topics applicable to Agents and Multi-agent Systems. The following topics are indicative of the scope of the conference, however other relevant topics are applicable.

Agent and Multi-agent Systems
Software agent is a program which performs actions defined by user. Multi-agent system consists of autonomous and collaborative agents that have particular degree of mobility and intelligence. It is intended to provide the researchers an opportunity to exchange theoretical and technical knowledge, hands-on experience, as well as to discuss current development and explore trends in agent systems. The call is addressed to scientists and engineers from both academic and industrial environments, who design, develop and implement software agents in different areas and applications.


New Digital and Knowledge Economy
The modern economy is driven by technologies and knowledge. Digital technologies can free, shift and multiply choices, often intruding on the space of other industries, by providing new ways of conducting business operations and creating values for customers and companies. Examples technologies are mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer embedded systems and nature inspired manufacturing, etc. We would therefore love to hear from both the research and industrial communities on their latest work on innovative technologies and applications that is potentially disruptive to industries. Furthermore, technologies need to work well with innovative business models to create wealth and welfare. In an attempt to bring the two communities together, we would therefore love to hear from business communities on their experiences for adopting technologies when creating new business models.


Industrial Track
The purpose of the Industrial Track is to promote research in our aforementioned topic areas and foster scientific exchange between researchers, practitioners, scientists, students, and engineers in multi-agent systems and disruptive technologies. We particularly recognise the importance of inter-disciplinary work to create today's Digital and Knowledge Economy. Standard length scientific papers, overview of research conducted in a company and short visionary paper and poster presentation are therefore most welcome.

Call for Invited Sessions

An invited session consists of a presentation session of 6 to 12 or more papers on a specific conference topic, organised as half or full day mini-conference. We invite senior scientists who have a special interest in a specific conference topic to take responsibility for an invited session, gathering papers from a range of research expertise around the world.  

Researchers who would like to organise one or more Invited Sessions on topics falling within the scope of the conference are invited to submit a proposal for consideration.
Click Here to Download Invited Session Template

IS01: Intelligent Agents in health, wellness and human development environments applied to health

IS02: Process Mining for Agent and Multi-Agent Systems

IS03: Agent-based Modeling and Simulation

IS04: Business Economics and Agent-based Modeling

IS05: Multi-Agent Systems in Transportation Systems

IS06: Education in Computer Science in the era of Artificial Intelligence

For details of the sessions accepted so far see here:
http://amsta-24.kesinternational.org/cmsISdisplay.php

Submission Guidelines and Review Process

Authors are invited to submit original, unpublished papers which are not under review for another conference, workshop, or journal by the time of submission. The contributors should address one or more research areas included above.

Detailed submission information is available on the conference page  

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Special Issue: “Geovisualization: Current Trends, Challenges, and Applications” | Geographies (ISSN 2673-7086)

December 19th, 2023 Daniela Lopez de Luise

Dear Colleagues,


We would like to inform you that the Special Issue “Geovisualization: Current Trends, Challenges, and Applications” is now complete. 


You can find below the full list of the published articles.


Editorial:

Krassanakis, V.; Skopeliti, A.; Keskin, M.; Cybulski, P. Geovisualization: Current Trends, Challenges, and Applications. Geographies 2023, 3, 801-805. https://doi.org/10.3390/geographies3040043. 

List of Contributions:

Goebbels, S.; Pohle-Fröhlich, R. Automatic Unfolding of CityGML Buildings to Paper Models. Geographies 2021, 1, 333-345. https://doi.org/10.3390/geographies1030018.

Stamou, L. Cartography and Art: A Comparative Study Based on Color. Geographies 2022, 2, 87-110. https://doi.org/10.3390/geographies2010007.

Iliopoulou, P.; Feloni, E. Spatial Modelling and Geovisualization of House Prices in the Greater Athens Region, Greece. Geographies 2022, 2, 111-131. https://doi.org/10.3390/geographies2010008.

Zhang, S.; Lippitt, C.; Bogus, S.; Taylor, T.; Haley, R. Mapping Construction Costs at the National Level. Geographies 2022, 2, 132-144. https://doi.org/10.3390/geographies2010009.

Li, M.; McGrath, H.; Stefanakis, E. Geovisualization of Hydrological Flow in Hexagonal Grid Systems. Geographies 2022, 2, 227-244. https://doi.org/10.3390/geographies2020016.

Wada, K.; Wallner, G.; Vos, S. Studying the Utilization of a Map-Based Visualization with Vitality Datasets by Domain Experts. Geographies 2022, 2, 379-396. https://doi.org/10.3390/geographies2030024.

Blana, N.; Kavadas, I.; Tsoulos, L. A Constraint-Based Generalization Model Incorporating a Quality Control Mechanism. Geographies 2023, 3, 321-343. https://doi.org/10.3390/geographies3020017.

Lampropoulos, G.; Panagiotopoulos, G.; Giannakoula, C.; Kokkalas, A. Geovisualization of Historical Geospatial Data: A Web Mapping Application for the 19th-Century Kaupert’s Maps of Attica. Geographies 2023, 3, 398-415. https://doi.org/10.3390/geographies3020021.


Our best wishes for the coming year!


The Guest Editors of the Special Issue

Dr. Vassilios Krassanakis, Assistant Professor (University of West Attica, Greece)

Dr. Andriani Skopeliti, Assistant Professor (National Technical University of Athens, Greece)

Dr. Merve Keskin, Postdoctoral Researcher (Paris Lodron Universität Salzburg, Austria)

Dr. Paweł Cybulski, Assistant Professor (Adam Mickiewicz University, Poland)


Dr. Vassilios Krassanakis | Assistant Professor
University of West Attica | Department of Surveying and Geoinformatics Engineering Egaleo Park Campus, Ag. Spyridonos Str., 12243 Egaleo (Athens), Greece  Building: K10 | Office: K10.101 | Email: krasvas@uniwa.gr | Tel.: (+30) 210 538 7345
Webpages:  [UNIWA]: https://geo.uniwa.gr/en/profile/krassanakis-vassilios/  [Personal]: https://sites.google.com/site/vassilioskrassanakis   [GitHub]: https://github.com/krasvas [Google Scholar]: https://scholar.google.gr/citations?user=62pBQHwAAAAJ&hl=el&oi=ao  [Scopus]: https://www.scopus.com/authid/detail.uri?authorId=56094634800 [Web of Science]: https://www.webofscience.com/wos/author/record/2292078  [Semantic Scholar]: https://www.semanticscholar.org/author/Vassilios-Krassanakis/3163032   [ResearchGate]: https://www.researchgate.net/profile/Vassilios-Krassanakis [ORCID]: https://orcid.org/0000-0002-3030-4203

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Physics Informed Neural Networks, Italy, Feb 2024

December 19th, 2023 Daniela Lopez de Luise

Physics Informed Neural Networks in PADova

University of Padova (Italy), February 22-23, 2024

Cortile Antico – Aula Nievo,  Palazzo BO.

website: https://pinn-pad.dicea.unipd.it/

 

Important dates:

– January 15, 2024. Deadline for sending (to pinn-pad@dicea.unipd.it)

  a title and a 1-page abstract for a CONTRIBUTED TALK (20+5 minutes).

– February 01, 2024. Deadline for the registration (no fee).

 

The scope of the workshop includes, but is not limited to, the

following topics: PINN-based models for the forward numerical solution

of ODEs and PDEs; solution of ill-posed inverse problems by PINN-based

parameter identification; use of PINN as encoders and decoders for

reduced order models; PINN-based surrogate models of statistical

variables in stochastic simulations; encoding by PINN of matricial

operators and their use in numerical linear algebra applications; Deep

Neural Networks and Machine Learning for PDEs; Advances in Deep Neural

Networks; Stochastic Optimization for Machine Learning.

 

The registration is free. However, an e-mail must be sent to

pinn-pad@dicea.unipd.it not later than February 01, 2024.

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Scientific Computing and Machine Learning, Japan, Mar 2024

December 19th, 2023 Daniela Lopez de Luise

We are delighted to announce the call for papers for the International

Conference on Scientific Computing and Machine Learning (SCML2024,

http://scml.jp ), which will be held in Kyoto (and online) in Japan

from March 19 to 23, 2024.

 

In recent years, machine learning methods for scientific computing,

such as physics-informed neural networks and operator learning, have

attracted much attention. Many methods are based on machine learning

and/or theories of physics and/or computational mathematics. This

conference aims to showcase the latest research in these areas, which

have been fragmented while pursuing research in the same direction,

thereby bridging the gap between them and promoting collaboration.

 

The deadline for submission is January 7 (but it may be postponed for

a week or so.) For more information, please visit: http://scml.jp

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