ESSAI & ACAI PROGRAM

24–28 July, 2023, Ljubljana, Slovenia

While ACAI has a long tradition and is organized bi-annualy, this will be the first edition of ESSAI. The European Summer School on Artificial Intelligence will hopefuly become a tradition and be organized annually. In its organization, ESSAI will follow the model of ESSLLI, the European Summer School in Language, Logic and Information. Note that ESSLLI-2023 will be organized in Ljubljana, immediately after the proposed ESSAI & ACAI 2023 event, and will last for two weeks.

The longer term ambition is that ESSAI would also be a two-week event, with a larger number of courses. However, ESSLLI is an event with a very long tradition (the 2023 edition is the 34th edition of the event). For its first edition, ESSAI will be a one-week event.

ESSAI and ACAI 2023 will be organized as a single event with six parallel tracks. One of these tracks will be ACAI-2023, The Advanced Course on Artificial Intelligence. A schema of the program structure of the event is given below.

Monday,
24. 7. 2023
Tuesday,
25. 7. 2023
Wednesday,
26. 7. 2023
Thursday,
27. 7. 2023
Friday,
28. 7. 2023
ACAI ACAI ACAI ACAI ACAI
ESSAI - Track 1 ESSAI - Track 1 ESSAI - Track 1 ESSAI - Track 1 ESSAI - Track 1
ESSAI - Track 2 ESSAI - Track 2 ESSAI - Track 2 ESSAI - Track 2 ESSAI - Track 2
ESSAI - Track 3 ESSAI - Track 3 ESSAI - Track 3 ESSAI - Track 3 ESSAI - Track 3
ESSAI - Track 4 ESSAI - Track 4 ESSAI - Track 4 ESSAI - Track 4 ESSAI - Track 4
ESSAI - Track 5 ESSAI - Track 5 ESSAI - Track 5 ESSAI - Track 5 ESSAI - Track 5

ESSAI & ACAI 2023 is planned as an in-person event. It is intended that lecturers will be present in-person in Ljubljana, as well as a sizable audience (200-400 attendees). We also intend to live-stream the lectures and allow for a much larger audience to follow the lectures. In the case of unfavorable epidemiological situation, a hybrid or on-line mode can be easily adopted, given that we are making plans for live streaming (as well as recording) of the lectures.



The topic of ACAI-2023 will be Artificial Intelligence for Science. The ACAI-2023 Course will comprise ten half-day tutorials, each consisting of two 90 min sessions. The structure of ACAI-2023 is schematically shown below.

ACAI Monday,
24. 7. 2023
Tuesday,
25. 7. 2023
Wednesday,
26. 7. 2023
Thursday,
27. 7. 2023
Friday,
28. 7. 2023
9.00 - 10.30 ACAI T1 - 1/2 ACAI T3 - 1/2 ACAI T5 - 1/2 ACAI T7 - 1/2 ACAI T9 - 1/2
coffee break
11.00 - 12.30 ACAI T1 - 2/2 ACAI T3 - 2/2 ACAI T5 - 2/2 ACAI T7 - 2/2 ACAI T9 - 2/2
lunch break
14.00 - 15.30 ACAI T2 - 1/2 ACAI T4 - 1/2 ACAI T6 - 1/2 ACAI T8 - 1/2 ACAI T10 - 1/2
coffee break
16.00 - 17.30 ACAI T2 - 2/2 ACAI T4 - 2/2 ACAI T6 - 2/2 ACAI T8 - 2/2 ACAI T10 - 2/2

 



The ESSAI School will have five parallel tracks. Each will comprise four courses, each consisting of five 90 min sessions (one on each day during the week). Thus a total of 20 courses will be included in ESSAI. The structure of ESSAI-2023 is schematically shown below.

ESSAI -
Track N
Monday,
24. 7. 2023
Tuesday,
25. 7. 2023
Wednesday,
26. 7. 2023
Thursday,
27. 7. 2023
Friday,
28. 7. 2023
9.00 - 10.30 ESSAI Track N - C1 - 1/5 ESSAI Track N - C1 - 2/5 ESSAI Track N - C1 - 3/5 ESSAI Track N - C1 - 4/5 ESSAI Track N - C1 - 5/5
coffee break
11.00 - 12.30 ESSAI Track N - C2 - 1/5 ESSAI Track N - C2 - 2/5 ESSAI Track N - C2 - 3/5 ESSAI Track N - C2 - 4/5 ESSAI Track N - C2 - 5/5
lunch break
14.00 - 15.30 ESSAI Track N - C3 - 1/5 ESSAI Track N - C3 - 2/5 ESSAI Track N - C3 - 3/5 ESSAI Track N - C3 - 4/5 ESSAI Track N - C3 - 5/5
coffee break
16.00 - 17.30 ESSAI Track N - C4 - 1/5 ESSAI Track N - C4 - 2/5 ESSAI Track N - C4 - 3/5 ESSAI Track N - C4 - 4/5 ESSAI Track N - C4 - 5/5

 


The ESSAI program will include courses (foundational, introductory or advanced) on different topics from all areas of artificial intelligence. A public call for proposals for courses will be issued, following the ESSLI model. The selection of the courses will made by the ESSAI PC chairs, together with the program committee that they will form for this purpose. Sašo Džeroski (Jožef Stefan Institute, Ljubljana) and Ljupco Todorovski (University of Ljubljana) will act as program chairs of ACAI-2023 and select its topics and lecturers. The topic of ACAI- 2023, Artificial Intelligence for Science, is one of the core areas of their scientific research and they also have extensive experience in organizing prominent and varied scientific events (CVs included below). A potential list of topics to be covered at ACAI-2023 and lecturers that could give tutorials on each of these topics is provided below. For ESSAI-2023, Magdalena Ortiz (Umeå University) will be PC chair, with Sašo Džeroski (Jožef Stefan Institute, Ljubljana) and Brian Logan (University of Aberdeen) as co-chairs. In addition, a program committee (PC) of prominent scientists from key branches of AI will be formed. The PC will issue a call for course proposals and select twenty courses among the received proposals. A draft of this call is included below.


Advanced Course in Artificial Intelligence, ACAI-2023:

ARTIFICIAL INTELLIGENCE FOR SCIENCE

In its development, science has gone through several major paradigms. Chronologically ordered from the past to the present, these include (1) the empirical paradigm, focused on describing natural phenomena, (2) the theoretical paradigm that uses models and generalizes over observations, and (3) the computational paradigm that relies on simulating complex phenomena. We are presently witnessing the reign of the fourth paradigm, data-driven science, which heavily uses machine learning to produce novel scientific discoveries.

Machine learning is revolutionizing science by helping to handle the flood of scientific data, reinforcing the reign of data-driven science. Of crucial importance here is the ability to handle large and complex data, at which deep neural networks, including convolutional and graph neural networks, excel. Equally important, however, especially for science, is the ability to explain the models learned from data and their predictions. Explainable AI approaches come to the forefront at this point. Finally, the ability to take into account existing knowledge and relate the newly discovered models to it is also important.

Besides machine learning, other artificial intelligence approaches are important for science. Among these, computational scientific discovery most directly addresses the challenge of automating and providing support to the process of generating new scientific knowledge. In computational scientific discovery, data, models, and relations between them are considered, with the focus on uncovering these connections. Laws and models constructed by discovery should not only make accurate predictions, but also provide deeper accounts that are consistent with existing scientific theory: They should also be interpretable, ideally being stated in formalisms used by domain scientists. These three points are distinctive features of science that set it apart from other intellectual pursuits. They also impose constraints on the discovery task that mean traditional techniques for machine learning do not suffice to address it.

Representing and storing scientific knowledge, whether we are talking about facts or models, is also of paramount importance for its re-use in different scientific processes, by either human or robot scientists. Here ontologies and semantic technologies (and in general knowledge representation approaches) play a key role. The approaches developed in this area bring us closer to automated science and robot scientists, which not only perform experiments, but go beyond this to automate hypotheses formulation, experiment design and close the loop by forming new hypotheses from experimental results. They also bring us closer to open science, where all products of the scientific process (and not only data) are FAIR (Findable, Accessible, Interoperable, and Reusable).

ACAI-2023 topics

Below are some topics ACAI-2023 will aim to cover:


SOCIAL EVENTS

Welcome reception

The welcome reception will be held in front of the school’s main venue on its big open-air platform. The location is ideal for hanging out in a relaxed atmosphere in the summer evenings from where the attendees can observe the colorful sunset. We will offer fingerfood to present local couisine along with local wines and non-alcoholic beverages.

Social dinner

The social dinner will be held at the Union Pub where modern Slovenian cuisine meets a selection of more than 10 different draft beers. The Union Pub is located at the Pivovarna Union brewery and represents the union between the modern world and tradition, brought together by a great pub atmosphere. Different events every month are accompanied by Union Selection - a special weekly brewer’s choice of beers, prepared exclusively for the Union Pub. In case student attendance in-person exceeds 400 participants, we propose the “Kino Šiška” Center of Urban Culture as an alternative venue for the social dinner. It can host up to 1,132 standing room or 560 seats (a mixed arrangement would probably be implemented).


© IJS - Department of knowledge tehnologies   Last update: 2022-11-28