elias-ai

Natural Language Processing and Speech Recognition Workshop
2025-06-04 13:00 - 16:30 (Europe/Rome)
The ELLIS Workshop on Natural Language Processing and Speech Recognition is co-organised by the ELLIS Unit Prague and the ELLIS Associate Unit Lviv and supported by ELIAS. This online event will bring together researchers and experts to discuss recent advancements in NLP and speech recognition.
Date: June 4, 2025Time: 13:00 – 16:30 CESTLocation: Online (via Zoom)
🔗 Register here to receive the Zoom link a few days before the workshop.

Workshop Objectives
This workshop will focus on recent scientific progress in natural language processing (NLP) and speech recognition, fostering discussions on emerging trends and challenges in the field.
Organisers
For any inquiries, please contact:

Rostyslav Hryniv (ELLIS Associate Unit Lviv)
Josef Sivic (ELLIS Unit Prague)

Agenda
Each presentation slot is 30 minutes, with 20–25 minutes for the talk and 5–10 minutes for questions and discussion.All times are in Central European Summer Time (CEST).

Time

Duration

Session

13:00 – 14:30

30 mins each

Session I

Iryna Gurevich – Title TBA

Barbara Plank – Title TBA

Mykola Trokhymovych – Title TBA

14:30 – 15:00

Coffee Break

15:00 – 16:30

30 mins each

Session II

Alessandro Raganato – Title TBA

Oldřich Plchot – Title TBA

Yehor Smoliakov – Title TBA

Event Details

Date: June 4, 2025

Time: 13:00 – 16:30 CEST

Location: Online (via Zoom)

Organised by: ELLIS Unit Prague & ELLIS Associate Unit Lviv

Registration: Click here to register

ELIAS, ELLIOT & ELSA Theme Development Workshop on Foundation Models
2025-07-10 09:00 - 13:30 | Thessaloniki, Greece, Thessaloniki, Greece
Date & Time: July 10th, 2025, 9:00 – 14:15 EEST (GMT+3)
Location: Centre for Research and Technology Hellas (CERTH), Thessaloniki, Greece (Hybrid Event)
Overview: The emergence of Foundation Models and Large Language Models is transforming the way AI systems are developed and applied in various industry sectors. Trained on massive amounts of data of different modalities and using transfer learning to apply the knowledge learned from one task to another, models such as ChatGPT, GPT-4, BERT, CLIP, DALL-E, etc. can be adapted to a wide range of downstream tasks from media content generation to climate change modeling, healthcare monitoring, autonomous driving and many more.
The ELIAS, ELLIOT & ELSA Theme Development Workshop on Foundation Models aims to highlight the opportunities offered by Foundation Models, explore relevant technical challenges, consider legal & ethical aspects, and present application examples.
Objectives:

Explore technical aspects of Foundation Model training such as generalisation, scaling, benchmarking, security, and computational resources.
Address ethical considerations in the development and deployment of Foundation Models.
Highlight different applications domains and discuss relevant adaptation challenges of Foundation Models.

This hybrid 4-hour event will feature 3 sessions, each including 20-min keynote presentations from renowned experts in the field, followed by interactive discussions and a Q&A segment. Light lunch will be served after the end of the workshop.

Registration Deadline
Online Attendance → July 9th, 2025 – 18:00 CET

Registration for in-person attendance has been closed on June 18th, 2025, (midnight CET).
Register here

This workshop is jointly organised by the ELIAS, ELLIOT & ELSA projects.

ELLIOT – European Large Open Multi-Modal Foundation Models For Robust Generalization On Arbitrary Data Streams (GA No. 101214398 ) aims to enhance general-purpose AI by developing large-scale, open multimodal foundation models with strong spatio-temporal understanding. Led by top European academic and industrial labs from the ELLIS and LAION communities, the project targets underrepresented time-relevant modalities such as industrial time series, remote sensing, and health data. Both real and synthetic data will be used, sourced from consortium partners and European Data Spaces, with synthetic data generated using current and novel generative AI methods. European HPC resources are integrated to support large-scale model training.

ELSA – European Lighthouse on Secure and Safe AI (GA No. 101070617) is a growing network of excellence that spearheads efforts in foundational safe and secure AI methodology research. ELSA’s founding members include European experts in all aspects of safe and secure AI, with particular focus on technical robustness, privacy preserving techniques and human agency and oversight. In addition, ELSA brings on board research and industry experts in six different sectors that are key application areas of safe and secure AI. ELSA builds on and extends the internationally recognized and excellently positioned ELLIS (European Laboratory for Learning and Intelligent Systems) network of excellence. For more information, please visit: www.elsa-ai.eu

Speakers & Moderators

Jenia Jitsev
JSC & LAION
EC projects: ELLIOT, openEuroLLM, LLMs4EU

Frank Hutter
PriorLabs & University of Freiburg
EC projects: ELLIOT, openEuroLLM, LLMs4EU

Cees Snoek
University of Amsterdam
EC projects: ELLIOT, ELIAS, ADRA-e

Mario Fritz
CISPA & Saarland University
EC projects: ELSA, ELLIOT

Flavia Giglio
KU Leuven
EC projects: ELLIOT

Marc Pollefeys
ETH Zurich & Microsoft
EC projects: ELLIOT, ELIAS

Matthieu Cord
Sorbonne University & VALEO
EC projects: ELLIOT

Dario Garcia-Gasulla
Barcelona Supercomputing Center
EC projects: ELLIOT, AI4Europe, AIFactories, DARE

Elisa Ricci
University of Trento & Fondazione Bruno Kessler
ELIAS, ELLIOT

Lorenzo Baraldi
University of Modena and Reggio Emilia
ELIAS, ELLIOT, ELSA, MINERVA

Dimosthenis Karatzas
CVC-CERCA & Autonomous University of Barcelona
ELSA, ELLIOT

Agenda
Please note that the agenda is subject to slight changes and will be updated accordingly.

All times are local (Greece) time (EEST = GMT+3, e.g. 10:00 EEST = 09:00 CEST)

Workshop Agenda

Time
Duration
Session Name

09:00 – 09:15
15 mins

Welcome & Introduction to Foundation Models

Opening remarks
Introduction to Foundation Models
Overview of the sessions and objectives

Elisa Ricci (UNITN & FBK)

09:15 – 10:30
Session 1: Training Foundation Models

Moderator: Elisa Ricci (UNITN & FBK)

20 mins

Keynote: Jenia Jitsev (JSC & LAION)
Open Foundation Models: Scaling Laws and Generalisation
To study transferable learning and generalisation, derivation of reproducible scaling laws is crucial, as they not only predict model function and properties on unseen scales, but also have potential to enable systematic comparison of various learning procedures. The talk will discuss why open foundation models and datasets are essential for this research and highlight challenges in properly measuring generalisation.

5 mins
Q&A and Discussion

20 mins

Keynote: Frank Hutter (PriorLabs, ELLIST)
Tabular Foundation Models

Tabular data, spreadsheets organized in rows and columns, are ubiquitous across healthcare, business and finance. Although deep learning has revolutionised learning from raw data and led to numerous high-profile success stories, gradient-boosted decision trees have dominated tabular data for the past 20 years. In this talk, I will demonstrate how we changed this with the first foundation models for tabular data, in particular TabPFN and TabPFN v2.

5 mins
Q&A and Discussion

20 mins

Keynote: Cees Snoek (UvA)
NeoBabel: A Multilingual Open Foundation Model for Visual Generation

Text-to-image generation advancements have been predominantly English-centric, creating barriers for non-English speakers and perpetuating digital inequities. This talk introduces NeoBabel, a multilingual image generation foundation model that sets a new Pareto frontier in performance, efficiency and inclusivity, natively supporting English, Chinese, Dutch, French, Hindi, and Persian.

5 mins
Q&A and Discussion

10:30 – 11:20
Session 2: Ethical & Safe Foundation Models

Moderator: Lorenzo Baraldi (UNIMORE)

20 mins

Keynote: Mario Fritz (CISPA)
Security and Safety of Foundation Models

The talk will focus on the security and safety of Foundation Models, covering topics such as LLM security, prompt injection, data-instruction separation, multi-agent setups, AI for (vulnerable) code, and auto red teaming.

5 mins
Q&A and Discussion

20 mins

Keynote: Flavia Giglio (KUL)
Ethical and Legal Aspects of Foundation Models

The talk will revolve around legal and ethical challenges posed by foundation models, including an overview of the latest EU legislative developments in the AI field and how it concerns the design and deployment of such models.

5 mins
Q&A and Discussion

11:20 – 11:40
COFFEE BREAK

11:40 – 12:55
Session 3: Application of Foundation Models

Moderator: Dimosthenis Karatzas (CVC-CERCA & UAB)

20 mins

Keynote: Marc Pollefeys (Microsoft & ETHZ)
Spatial AI

The talk will focus on the challenges of using AI in 3D spatial settings for real-world AI assistants and robotics.

5 mins
Q&A and Discussion

20 mins

Keynote: Matthieu Cord (VALEO)
Driving through Generative Video Pretraining

Presentation of an end-to-end driving Video-Action Model that harnesses the power of generative video pretraining, learning unsupervised rich video representations from large driving video datasets and applying these representations for control via imitation learning.

5 mins
Q&A and Discussion

20 mins

Keynote: Dario Garcia-Casulla (BSC)
Training and Evaluating LLMs in European HPC centers

Review of current practices on post-training LLMs (SFT, instruct, merge and align) for multiple tasks in healthcare, and discussion of current limitations in model evaluation, also for other domains such as LLMs for Chip Design or code generation. Includes details of computational access and cost within existing and incoming (AIFactories) European HPC infrastructure.

5 mins
Q&A and Discussion

12:55 – 13:15
20 mins

Conclusion & Wrap-up

Summary of key takeaways
Final remarks and next steps

Elisa Ricci (UNITN & FBK), Dimosthenis Karatzas (CVC-CERCA & UAB), Lorenzo Baraldi (UNIMORE)

13:15 – 14:15
60 mins
LUNCH

Venue
The ELIAS, ELLIOT & ELSA TDW on Foundation Mode will take place at the campus of the Centre for Research and Technology Hellas (CERTH) in Thessaloniki, Greece. CERTH is located at the 6th km of the Charilaou-Thermi Road in Thermi, Thessaloniki. It is about 10 km from the centre of Thessaloniki and about 8 km from “Makedonia” International airport. You can reach CERTH by bus/metro, car or taxi.
The workshop will take place at the Amphitheatre of the central administration building of CERTH. Coffee and lunch breaks will take place in the entrance hall (foyer), outside the Amphitheatre. As you enter the campus, the central administration building is on your right, the last building with the red bricks at the end of the road (<1 min walk from the gate). You can always ask the guard at the gate of the campus for instructions. Signs will also be put out.

Details
Date: Thursday, July 10th, 2025
Time: 9:00 – 14:15 EEST (GMT+3)
Format: Hybrid Event
Duration: 4 hours (with a 20-minute coffee break) + 1 hour light lunch at the end

Venue
Location (English):
CERTH (“EKETA” in Greek)
6th km Charilaou - Thermi Road
570 01 Thermi
Thessaloniki, Greece

Τοποθεσία (Ελληνικά):
Εθνικό Κέντρο Έρευνας και Τεχνολογικής Ανάπτυξης (ΕΚΕΤΑ)
Τεχνολογικό Πάρκο Θεσσαλονίκης
6ο χλμ οδού Χαριλάου - Θέρμης
Θέρμη, Θεσσαλονίκη

ELLIS Doctoral Symposium #EDS2025: Robust AI
2025-08-25 08:00 - 2025-08-29 17:00 | University of Warsaw Faculty of Modern Languages, Ul. Dobra 55,, Warsaw, 00-312, Poland
The ELLIS Doctoral Symposium (EDS) is back this summer for its fifth edition in the vibrant city of Warsaw, Poland! From August 25 to 29, immerse yourself in an exciting week of cutting-edge scientific discussions, valuable networking opportunities, and a chance to experience Poland’s warm and welcoming culture.
🎓 What is EDS?
The ELLIS Doctoral Symposium is the highlight of the year for the ELLIS PhD Program, gathering ELLIS PhD students alongside others in the field for an enriching exchange of knowledge in machine learning. The theme for EDS 2025 is Robust AI—a critical area in AI research focused on creating systems that are both reliable and adaptable.
👥 What to Expect?
EDS 2025 will focus on “Robust AI,” bringing together PhD students, researchers, and leading experts from across Europe. This prestigious symposium offers a unique platform for young researchers to present their work, exchange ideas, and engage in discussions on advancing artificial intelligence. Expect a dynamic series of talks, workshops, and networking events designed to foster collaboration and drive innovation. Join us to shape the future of AI and contribute to the creation of safer, more reliable, and adaptable AI systems.
Second round registration is currently open and accepting submissions until July 31st, 2025.

Speakers

Serge Belongie

University of Copenhagen

Petri Myllymäki

University of Helsinki

Nuria Oliver

ELLIS Alicante

Tomasz Trzciński

ELLIS Unit Warsaw

Piotr Sankowski

ELLIS Unit Warsaw

Dario Floreano

EPFL

Pau Rodríguez López

Apple Machine Learning Research

Davide Scaramuzza

University of Zurich

Ewa Szczurek

University of Warsaw

Agenda

25 August 2025 (Monday)

Time

Duration

Session Name

12:15–13:00

45 mins

Registration & Welcome Coffee

13:00–13:30

30 mins

Kick-off Ceremony

13:30–14:15

45 mins

Keynote Speaker – Petri Myllymäki

14:15–15:00

45 mins

Social Responsibility and Ethics in AI – Panel

15:00–17:00

2 hours

Welcome Reception

26 August 2025 (Tuesday)

Time

Duration

Session Name

09:15–09:30

15 mins

Welcome Coffee

09:30–10:30

1 hour

Keynote Speaker – Dario Floreano: "Challenges and Opportunities for Robust AI in Biologically Inspired Drones"

10:30–11:30

1 hour

Discussion Panel

11:30–12:30

1 hour

Presentations of Robotics Companies
(Short elevator pitch type presentation – around 5 min. each)

12:30–13:30

1 hour

Lunch

13:30–14:30

1 hour

Keynote Speaker – Davide Scaramuzza

14:30–15:30

1 hour

Spotlight Session (12 Posters – each presentation 5 minutes)

15:30–17:00

1.5 hours

Coffee Break + Academy & Industry Companies Fair + Poster Session

19:30–23:00

4.5 hours

Gala Dinner

27 August 2025 (Wednesday)

Time
Duration
Session Name

09:00–09:15
15 mins
Welcome Coffee

09:15–10:30
1 hour 15 mins
Keynote Speaker – Ewa Szczurek

10:30–11:00
30 mins
Coffee Break

11:00–12:30
1.5 hours
Keynote Speaker – Pau Rodríguez López

12:30–13:30
1 hour
Lunch

13:30–15:00
1.5 hours
Poster Session

From 17:00
As scheduled
Guided Tour of Warsaw

28 August 2025 (Thursday)

Time

Duration

Session Name

09:15–09:30

15 mins

Welcome Coffee

09:30–11:00

1.5 hours

Keynote Speaker – Serge Belongie

11:00–11:30

30 mins

Coffee Break

11:30–12:30

1 hour

Keynote Speaker – Nuria Oliver

12:30–13:30

1 hour

Lunch

13:30–15:30

2 hours

Poster Session

15:30–16:00

30 mins

Coffee Break & Winning Poster(s) Announcement

29 August 2025 (Friday)

Time

Duration

Session Name

09:15–09:30

15 mins

Welcome Coffee

09:30–11:30

2 hours

“How to Popularize Research and Talk About Science” Workshops

11:30–12:15

45 mins

Presentation of IDEAS Institute and University of Warsaw

12:15–13:00

45 mins

Wrap-up Ceremony and Announcement of EDS 2026 Location

13:00–14:00

1 hour

Lunch

Call for Posters



I. General Information
The ELLIS Doctoral Symposium (EDS) 2025 provides a unique platform for early-career researchers to share their findings, exchange ideas, and receive feedback from peers and experts in the field.



II. Topics of Interest
We welcome submissions from all PhD students, especially those participating in the ELLIS PhD Postdoc Program, regardless of whether their primary research focus is Robust AI.



III. Submission Guidelines
In the registration form, available on the ELLIS Doctoral Symposium 2025 website, authors will be required to provide:

Affiliation
CV
Title of the planned poster(s) and abstract(s) (max. 500 words, clearly outlining the research problem, methodology, and preliminary results).

Posters must represent original research (published or unpublished) conducted by the author(s). All accepted posters will be presented during dedicated poster sessions at EDS 2025.



IV. Evaluation Criteria
Submissions will be reviewed based on the following criteria:

Clarity & Structure – Is the abstract well-organized and easy to follow?
Scientific Contribution – Does the research provide new insights or advancements?
Methodological Rigor – Are the methods appropriate and well-explained?
Potential Impact – How significant are the findings for AI research and practice?

Priority will be given to the author(s) participating in the ELLIS PhD & Postdoc Program.



V. Important Dates

First registration round: May 12 – 31, 2025
Verification of submissions: June 2 – 16, 2025
Acceptance notification: June 16, 2025
Payment deadline: June 17 – 30, 2025
Second registration round: June 17 – July 31, 2025 (rolling review)
Final payment deadline: July 25, 2025



VI. How to Submit
Submissions will be accepted through an online submission form, which will be made available on the ELLIS Doctoral Symposium 2025 website at the latest before the end of the first/second registration round. For any questions, contact us at eds@eds2025.pl.

Fees
The participation fee for the ELLIS Doctoral Symposium 2025 is 100 EUR per person. The fee covers access to all conference sessions, coffee breaks, lunches, and social events. Details regarding payment methods and deadlines will be provided shortly.

Registration form
The second round of registration has begun and will remain open until July 31, 2025.

Register here

EDS Mobility Grants
Students may be eligible for travel funding through the following option:
ELIAS Mobility Program is open to participants who are employed by an ELIAS Beneficiary (see the list provided in the Terms and Conditions).

EDS25 Mobility grant (guidelines)
EDS Mobility Grant (ELIAS) Application
EDS Reimbursement Report (ELIAS Beneficiary)

ELSA Mobility Program is open to PhD and postdoctoral students, as well as experienced researchers whose home institutions are either official members of the ELSA Network, or located in the EU or EU associated countries.
Links to the application form and Terms & Conditions of the mobility program can be found at:

for PhDs & Postdocs
for experienced researcher

For any questions regarding the ELSA mobility grant, please contact: elsa-travel@cispa.de
Please note: Double funding is not permitted.

Learn More

EDS 2025 Official Website
Summary of Last Year’s EDS Event
Learn About the ELLIS PhD Program

Details

Start: August 25, 2025

End: August 29, 2025

Event Categories: Symposium, Workshops

Event Tags: #eds2025, #robustai, #symposium

Website

Visit Event Website

Organisers

ELLIS Unit Warsaw & University of Warsaw

Venue

University of Warsaw

Faculty of Modern Languages

Ul. Dobra 55, 00-312 Warsaw, Poland

Location

The conference will take place at the Faculty of Modern Languages of the University of Warsaw, located in the Powiśle district by the Vistula River, easily accessible by public transportation. The venue is fully equipped to accommodate individuals with special needs.

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How to be a (Startup-) CTO
2025-09-08 08:00 - 2025-09-10 17:00 | HPI Engine Hasso Plattner Institut, August-Bebel-Str. 88, Potsdam, 14482, Germany
Ready to lead in tech? Join the Summer School 2025 by HPI Engine & ELIAS!
Are you ready to bridge the gap between academic knowledge and real-world technology leadership? HPI’s annual Summer School, with support from ELIAS, is your chance to gain essential skills and insights for a successful IT career. This year, we’re focusing on the pivotal role of the Chief Technology Officer (CTO), offering a dynamic blend of theoretical knowledge, practical experience, and invaluable networking.
Gain a competitive edge with 3 ECTS credits as you delve into the intricacies of business management, project leadership, and the comprehensive skillset required of a CTO. This isn’t just about lectures; it’s about first-hand learning from experienced founders and CTOs who have personally navigated these challenges. Expect interactive sessions, including mock situations, real world case studies, and practical checklists (e.g., for GDPR compliance), ensuring that interactivity is key to your learning experience. You’ll also have ample opportunities to connect with fellow students and field experts, fostering a vibrant environment for personal exchange and future collaborations.

Summer School 2025
The course aims to shed light on central aspects of corporate management and role models in the field of startups and digital companies. The three central questions that will be answered are:

What defines the role of a CTO in a startup and which are the most important roles she has to work with
How does the role of a CTO change over the growth phase of companies?
What makes a CTO? What skills does a CTO need and how can one acquire them? What is the difference between a Developer and a CTO?

The whole course will be broken up into seven central responsibilities of a CTO – and the questions which come with it:



1. Tech: Selecting the technology, testing and application architecture, including drafting the strategic vision behind it towards an MVP

The first goal of a startup is usually the MVP, and in the beginning the CTO builds it hands-on, which also means choosing a technology. Alone this choice is complicated: Do you want to reach the MVP fast and know that lots of code has to be rewritten later e.g. for scalability? Often CTOs fall into the trap of premature optimization or love for a technology which is rarely known and results in problems when hiring developers later. Also the question of how much technology to build inhouse and source from other vendors such als Cloud Computing providers (and a potential dependence on a certain provider) is important. Also the CTO has to manage the switch from actively getting involved in coding and technology decisions to a managing role quite quickly. Last but not least, often the advice from the ecosystem of the startup such as Angel investors and peer-group CTO’s is often neglected. This phase is also a very good connection to the academic research side of things. Selecting a technology and architecture is not just a “gut feeling” (as it’s often handled – “I used that technology before”) but should be handled as writing a scientific paper – weighing in all the pro’s and cons, the potential effects for the company in its different phases – and come to a methodic, well-thought conclusion in the end.



2. HR: Hiring, managing, growing and retaining the team, including budgeting

In today’s fast changing world, the challenge of hiring a great team is harder than ever. Just a large salary and stock options won’t cut it. Should developers be hired locally or should a CTO opt for a remote-first approach (and if yes, what administrative and communicative burdens do come with it). After hiring, a team needs to be managed, especially due to the fast growing pace of a modern startup. But often in growth, retaining talent and a healthy growth is often neglected. How should a CTO work together with HR? And how to budget for a developer?



3. Tracking: KPI definition and tools

You can’t manage what you can’t measure – Google might be an excessive prime example for that, but often developers build stuff without measuring it. Is the feature actually being used by the customer? Does it put additional burden to the performance of the application? Often CTOs start and postpone the KPIs to later (or choose some vanity metrics without any meaning). A small set of well chosen KPIs – and the transparency of those for all employees – can be often crucial for the business.



4. Product Management: Customer Input and interactions, including different setups to work with a CPO or for an integrated CTPO role as well as QA

As soon as a product gets more complex, it needs a formalized product management. Often certain roles are hired for that up to a CPO – but how does a CTO work with a CPO? Often it ends up that features get decided upon and thrown over the fence for implementation to the CTO. And what’s the role of QA? Does it belong to the CTO or the CPO? Is a joint CTPO role any good? Who reports to whom? There are many product manager roles in modern startups, but it’s often the crucial point where frustration sets in and the product doesn’t advance as fast as it should.

f

5. Operations: Ensuring smooth ops, including DevOps, security and GDPR

You build it, you run it – with the advent of DevOps and Cloud Computing the operations role changed a lot within the last 10 years. Besides the crucial stability of the operation itself, it is very important to bake in aspects of security and data protection from the beginning into the product and mindset to avoid terrible surprises. It is important that everybody in the team knows how to deal with different scenarios and be prepared for them – and the CTO needs a masterplan to ensure smooth operations. ‍



6. Communication: Public representation of the company, especially with investors, in front of employees and at public speaking opportunities

Traditionally, tech people are said to be bad communicators. This is true to a certain extent as this role requires not just tech but also business-related communication skills which are often nowhere taught. How do you talk with investors? What questions are asked in a Tech DD? How do you negotiate? What are typical deal terms in VC and angel deals to watch out for? How often should you update your employees with new information? How often should you talk with customers? How important is public representation, e.g. through conference talks? Great CTOs are usually great communicators to make complicated technology as transparent as possible for anybody inside and outside of the company.



7. Personal qualifications: Staying on top of the game, staying sane.

All those requirements often require immense focus from the person filling the CTO role. Besides all that, she still needs to stay on top of the game, learn about new technologies, get new inputs through talking with customers and other CTOs. As the day still has only 24 hours, prioritization and focus is key – also in order to keep mentally sane in times of pressure. Building a startup is a marathon, not a sprint, and you need to pace yourself to make it.

Examination

The course ends with an (non-multiple-choice!) examination covering all topics mentioned above, compiled by the speakers and curated by HPI. In the questions, certain scenarios will be laid out and the student needs to describe how to handle the situation.

Registration
We offer few places for non-HPI students in this program. If you are interested please text us at e-school-program(at)hpi.de Your application should include:

your current certificate of study (Studienbescheinigung)
3-5 sentences of motivation
a current CV

Participants who do not require ECTS can apply by mail to program@engine.hpi.de without attaching the enrolment certificate, CV, or motivation letter.
15 spots will be reserved for ELIAS-affiliated participants, for whom travel expenses will be covered.

Read more

Further Questions? Don’t hesitate to contact us!

Dr. Frank Pawlitschek, Director HPI Engine, Contact.
Anna Schnekker,Program Manager, Contact.
David Hahn, Head of Program, Contact.

Details

Start: September 8 @ 8:00

End: September 10 @ 17:00

Website

Visit Event Website

Organiser

HPI Engine Hasso Plattner Institut

View Organiser Website

Venue

HPI Engine Hasso Plattner Institut

August-Bebel-Str. 88

Potsdam, 14482 Germany

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Thematic Workshop: Science for AI @ AI in Science Summit 2025
2025-11-03 08:00 - 2025-11-04 17:00
ELIAS & ELIAS Alliance @ AI in Science Summit 2025
ELIAS and the ELIAS Alliance are proud to lead the “Science for AI” thematic workshop at the AI in Science Summit 2025, organised by the European Commission in collaboration with the University of Copenhagen.
This workshop will explore how advances in science drive progress in AI research, fostering cross-disciplinary collaboration and innovation. Participants will engage with leading experts to discuss cutting-edge methods, tools, and applications where scientific insights enhance AI development across diverse fields.

The workshop is part of the Summit’s broader mission to showcase AI’s transformative impact on scientific discovery and define Europe’s unique approach to AI in science. Attendees will benefit from interactive sessions, networking opportunities, and insights into the latest interdisciplinary AI research.
We invite the ELIAS Consortium and the broader scientific community to join us and contribute to shaping the future of AI research in Europe.

Register for the Summit

Check out the rpogramme

Programme

Please note that the programme is subject to change.

Day 1 — Scientific AI (3h)Theme: European Leadership at the Intersection of AI & Science

AIS25: Science for AI (Thematic Workshop)

Time
Session

09:45 – 10:00
Opening Speech & Framing

Lucilla Sioli (Director of the EU AI Office, DG CNECT, EC)

10:00 – 10:25
Keynote: AI Science and Innovation

Serge Belongie (President of ELLIS Society / University of Copenhagen)

10:25 – 11:10
Spotlight Talks: Opportunities for European Research Excellence

Zhijing Jin (MPI / University of Toronto)
Antoine Bosselut (Apertus / EPFL)
Nicu Sebe (ELIAS / University of Trento)

11:10 – 11:30
BREAK

11:30 – 11:50
Sciencepreneurship Award

Honoring academic role models linking excellence with innovation.

12:00 – 12:40
Panel: “Shaping Public AI for Science & Impact”

Discussion on how EU RAISE accelerates discovery for societal good.
Panelists: Nicu Sebe, Antoine Bosselut, Zhijing Jin, Serge Belongie, Sahar Abdelnabi
Moderator: Cecile Huet (European AI Office)

12:40 – 12:45
Wrap-up & Outlook to Day 2

Day 2 — Sciencepreneurial AI (2h)Theme: From AI & Science to Innovation & Impact

AIS25: Science for AI (Thematic Workshop) - Day 2

Time
Session

09:00 – 09:10
Welcome & Framing (Intro of ELIAS Alliance)

Matthias Bethge & Arnout Devos (ELIAS Alliance Curators)

09:10 – 09:40
Keynote: State of AI 2025

Nathan Benaich (Founder & General Partner, Air Street Capital)

09:40 – 10:10
Spotlight Talks: AI Trends and Ecosystem Building

Jessica Montgomery (Director of ai@cam / ELIAS Alliance)
Tim Rocktäschel (DeepMind / University College London)

10:10 – 10:50
Panel Discussion: “Opportunities to Lead in AI Innovation”

This closing panel explores how openness and excellence can drive the next wave of AI innovation. It identifies tangible action items on collaboration, trust, and scientific rigor to achieve lasting technological and societal leadership.
Panelists: Nathan Benaich, Jessica Montgomery, Tim Rocktäschel
Moderator: Matthias Bethge

10:50 – 10:55
RAISE Speech

Miguel Rubio Escudero (Policy Officer - Excellence in AI & Robotics, EC)

10:55 – 11:00
Closing Remarks

About the AI in Science Summit
The AI in Science Summit is a flagship event organized by the European Commission in collaboration with the University of Copenhagen. Taking place on 3–4 November 2025, the Summit brings together leading scientists, industry experts, policymakers, and investors to explore how artificial intelligence is transforming scientific research and innovation. The event features high-level talks, thematic workshops, hands-on sessions, and networking opportunities, and it will also launch the Resource for AI Science in Europe (RAISE), a platform to pool talent, data, computing power, and funding to advance interdisciplinary AI research across Europe.

Details
Event: AI in Science Summit 2025
Thematic Workshop: Science for AI
Date: 3–4 November 2025

Website
Visit Event Website

Organisers

ELIAS & ELIAS Alliance
Website

University of Copenhagen
Website

European Commission
Website

Venue
Bella Sky Hotel
Copenhagen, Denmark

© 2025 AI in Science Summit. All rights reserved.

ELIAS @ EurIPS 2025 — Rethinking AI Workshop & Startup Village
2025-12-03 08:00 - 2025-12-06 17:00
ELIAS @ EurIPS 2025 — Workshop and Start-Up Village Participation
The ELIAS Project is excited to announce its participation at EurIPS 2025, Europe’s leading conference on machine learning and artificial intelligence. From 3–5 December, ELIAS and the ELIAS Alliance will have a dedicated booth at the Start-Up Village, where the team will present project activities, introduce the ELIAS Startup Opportunities Platform, and connect with researchers, entrepreneurs, and industry partners.
ELIAS will also support the organisation of the upcoming “Rethinking AI — Efficiency, Frugality, and Sustainability” workshop, on 6 December. This participation offers a valuable opportunity for the AI community to discover ELIAS’s efforts toward fostering responsible, sustainable, and impactful AI innovation across Europe.

Workshop: Rethinking AI — Efficiency, Frugality, and Sustainability
As Artificial Intelligence systems grow in complexity and scale, so do their environmental and societal impacts. This workshop addresses the urgent need to rethink AI through the lens of sustainability, with a particular focus on ecological and environmental considerations. Presentations and discussions will revolve around two key pillars:
1. Sustainability in AI — Reducing the ecological footprint of machine learning research and deployment.
2. AI for Sustainability — highlighting applications to global environmental challenges
With an emphasis on introspection of current practices, the workshop aims to foster responsible innovation, shared metrics, and the design of methods that are efficient, accessible, and viable within constrained resources.
This participation offers a valuable opportunity for the AI community to discover ELIAS’s ongoing efforts to promote responsible, sustainable, and impactful AI innovation across Europe.

Important Dates

Submission Deadline: October 17, 2025 (23:59 AoE)

Notification of Acceptance/Rejection: October 31, 2025

Workshop Date: December 6, 2025

Submissions are now closed.

Call for Voluntary Reviewers
The workshop is seeking voluntary reviewers with relevant expertise to assist in evaluating submissions. Your contribution will ensure the quality and impact of the work presented.
Sign up here: Reviewer Form

Reviewers must have an OpenReview account to participate.

Organisers

Quentin Bouniot (TUM / Helmholtz Munich)

Florence d’Alché-Buc (Télécom Paris)

Enzo Tartaglione (Télécom Paris)

Zeynep Akata (TUM / Helmholtz Munich)

More information

Have Questions?

For further information or queries, please contact:📧rethinking-ai-workshop@googlegroups.com

About EurIPS
EurIPS is Europe’s premier machine learning and AI conference, endorsed by NeurIPS, bringing together researchers, practitioners, startups, and policymakers to advance AI research and applications across Europe. The conference features workshops, tutorials, paper presentations, poster sessions, and a Start-Up Village, making it a key platform for innovation, collaboration, and community building in the European AI ecosystem.

Event Details
Event: EurIPS 2025
ELIAS Participation: Start-Up Village Booth
Workshop: Rethinking AI — Efficiency, Frugality, and Sustainability

Dates
3–5 December 2025: Start-Up Village;
6 December 2025: Workshop Day

Event Website
Visit EurIPS 2025 Website

Venue
Bella Center Copenhagen
Copenhagen, Denmark

© 2025 EurIPS 2025 & ELIAS Project. All rights reserved.

Sustainable and Trustworthy Edge AI for Robotics - Workshop at HiPEAC 2026
2026-01-28 08:00 - 17:00 | ICE Kraków, Marii Konopnickiej 17, street, Kraków, Poland
Edge AI and robotics are increasingly integrated in real-world systems that demand low-latency inference, efficient computation, and robust autonomy. However, deploying AI at the edge brings unique challenges, including limited computational resources, evolving regulatory constraints, and the need for trustworthy, safe, and explainable models

As Europe advances toward sovereign, human-centric AI systems, new approaches are required to ensure that intelligent agents operating at the edge remain reliable, sustainable, and aligned with ethical and legal frameworks such as the AI Act.
This workshop brings together researchers from Edge AI, embedded learning, and robotics to explore the intersection of technical design and responsible deployment. It focuses on architectures and methods that enable privacy-preserving, bias-aware, and energy-efficient AI at the edge, while ensuring adaptability and safety in robotic applications.
The event is jointly organized by four EU-funded Networks of Excellence (NoEs) – dAIEDGE, euROBIN, ELIAS, and ENFIELD – and aims to foster collaboration across these initiatives and the broader HiPEAC community.
More information can also be found here.

Workshop Structure

Invited Keynote Talks

Paper Presentations: peer-reviewed contribution from academia and industry

Panel Discussion: addressing challenges and future directions in Edge AI for Robotics

Programme Coming Soon

Important Dates

Paper submission deadline
December 15, 2025

Notification to authors
December 23, 2025

Workshop date
January 28, 2026

Call for Papers (CfP)

We invite submissions on (but not limited to) the following topics:

Architectures and Frameworks for Edge AI

Distributed and hierarchical AI architectures for robotic systems
Edge–cloud continuum design and orchestration
Lightweight neural networks and model compression for embedded devices
Hardware-aware AI acceleration (FPGA, RISC-V, neuromorphic, etc.)
Real-time inference and scheduling for autonomous robots

Trustworthy and Explainable Edge Intelligence

Explainable and interpretable AI for robotic decision-making
Uncertainty estimation and safety assurance for edge perception and control
Robustness against adversarial conditions and sensor noise
Verification, validation, and certification of AI components at the edge
Compliance with EU regulatory frameworks (e.g., AI Act, Ethics Guidelines)

Sustainable and Energy-Efficient AI

Low-power AI computation and green optimization techniques
Energy-aware learning and adaptive workloads for embedded systems
Sustainable lifecycle management of AI models and hardware
Metrics and benchmarks for energy efficiency in edge robotics

More information

Learning and Adaptation at the Edge

Continual, federated, and transfer learning for robotics
On-device and online learning strategies
Adaptive multi-modal perception for dynamic environments
Collaborative intelligence among distributed robotic agents

Applications and Use Cases

Edge-enabled robotics for manufacturing, logistics, healthcare, and agriculture
Human–robot interaction and shared autonomy
Swarm and multi-robot coordination using distributed intelligence
Trustworthy AI for inspection, maintenance, and environmental monitoring

Cross-Cutting Themes

Open datasets, benchmarks, and reproducible research for edge robotics
Security, privacy, and data governance in edge–robotic ecosystems
Integration of large or foundation models at the edge
Socio-technical, ethical, and legal dimensions of autonomous systems

Submissions

Papers will be reviewed by the workshop’s technical program committee according to criteria regarding a submission’s quality, relevance to the workshop’s topics, and, foremost, its potential to spark discussions about directions, insights, and solutions on the topics mentioned above. Research papers, case studies, position papers and work-in-progress are all welcome. Papers should be in double column IEEE format of between 4 and 8 pages including references. Papers should be uploaded as PDF and not anonymized. At least one of the authors must register at the conference and attend the workshop to present the paper if it is accepted. Please note that there will be no proceedings. Authors will retain all rights to submit the work elsewhere. With the explicit permission of the authors, accepted papers will be posted on the workshop website prior to the event.

Click to access the submission site

Organisers
Cecilia Zanazzo, Università di Trento (UNITN); Georgios Kavallieratos, Norwegian University of Science and Technology (NTNU); Lydia Belkadi, KU Leuven (KUL); Mohamed Selim, German Research Center for Artificial Intelligence (DFKI); Rebecca Schedl-Warpup, German Aerospace Center (DLR).

About HiPEAC 2026
The HiPEAC conference is the premier European forum for experts in computer architecture, programming models, compilers and operating systems for general-purpose, embedded and cyber-physical systems. Areas of focus and integration include safety-critical dependencies, cybersecurity, energy efficiency and machine learning. The HiPEAC 2026 conference will take place in Kraków, Poland. Associated workshops, tutorials, special sessions, several large poster session and an industrial exhibition will run in parallel with the conference.

Event Details
Event: HiPEAC 2026
Workshop: Sustainable and Trustworthy Edge AI for Robotics
Organisers: dAIEDGE, euROBIN, ELIAS, ENFIELD

Dates
Paper Submission: 15 December 2025
Notification: 23 December 2025
Workshop Day: 28 January 2026

Event Website
Visit HiPEAC 2026 Website

Venue
ICE Kraków
Marii Konopnickiej 17, Kraków, Poland

© 2025–2026 HiPEAC 2026 & ELIAS Project. All rights reserved.

AI-preneurship Day
2026-03-05 12:00 - 20:00 | LAB 42, Amsterdam Science Park, Amsterdam, Netherlands
Are you a BSc/MSc student, PhD candidate, or Postdoc working in AI—and curious about entrepreneurship? Ever wondered whether your research could grow into a real business?
On Thursday, 5 March 2026, we’re hosting AI‑preneurship Day at LAB42, University of Amsterdam. Starting at 12:00, this free, one‑day event brings together AI students and early‑career researchers who want to explore how academic work can translate into real‑world impact. Lunch and drinks will be provided so you can focus fully on learning, connecting, and exploring new ideas.
Whether you’re just beginning to think entrepreneurially or already developing an idea, AI‑preneurship Day will give you the inspiration, tools, and confidence to take the next step toward your own academic spin‑off.
Throughout the afternoon, you’ll have the chance to test and refine potential AI business ideas, explore realistic investment and funding opportunities, learn how to take the lead in building your own academic spin‑off, and gain practical insights from experts with hands‑on experience.
What you’ll gain

Test and refine potential AI business ideas
Explore realistic investment and funding opportunities
Learn how to take the lead in building your own academic spin‑off
Gain practical insights from experts with hands‑on experience

Bonus: The evening session includes an opportunity to pitch your idea and receive 1‑on‑1 feedback from experienced mentors—perfect for anyone ready to take their first entrepreneurial step.

Agenda

12:00 – 13:00

Walk-in & lunch

13:00 – 13:10

Opening

13:10 – 13:40

Keynote speaker

Jorn Eiting-van Liempt,
ROM InWest
Insights from years of entrepreneurial experience across diverse roles.

13:40 – 14:15

Keynote speaker

Ross Gordon,
Amsterdam Academic Ventures
Building strategic roadmaps and overcoming fundraising challenges for early-stage spin-outs.

14:15 – 14:45

Break

14:45 – 15:05

Intro to academic spin-offs & support

Paul Blank,
NWO – Dutch Research Council
What it takes to launch an academic spin-off, including available subsidies, grants, and support structures.

15:05 – 15:25

Valorisation and impact

Erik Boer,
Roeterseiland Impact
Turning research into impactful products.

15:25 – 15:45

Investment opportunities

Thomas Hannes,
LUMO Labs
Exploring feasible investment opportunities for AI ventures.

15:45 – 16:05

In-house start-up talk

Harro Stokman – Kepler Vision

16:05 – 16:25

In-house start-up talk

TBD

16:25 – 18:00

Networking & 1-on-1 pitches

Register now!

⚠️ Limited spots available

The AI-preneurship Day is organised as a collaborative initiative between ELLIS Unit Amsterdam, ICAI – Innovation Center for Artificial Intelligence, TTT-AI | Thematic Technology Transfer Artificial Intelligence, and ELIAS Node Amsterdam, part of the ELIAS Alliance.

Event Details

Event:
AI-preneurship Day

Date:
Thursday, 5 March 2026

Time:
Starting at 12:00

Organised by:

ELLIS Unit Amsterdam,
ICAI – Innovation Center for Artificial Intelligence,
TTT-AI,
and
ELIAS Node Amsterdam

Register for the Event

Venue

LAB42, University of Amsterdam
Amsterdam Science Park, Netherlands

© All rights reserved.

Theme Development Workshop on Trustworthy AI
2026-03-06 09:00 - 12:00 | ENS – Department of Biology (IBENS), 46 Rue d'Ulm, Paris, 75005, France
Date & Time: March 6th, 2026, 09:00 – 12:00
Location: ENS – Department of Biology (IBENS), Paris, France (Hybrid Event)
Overview:
The deployment of Artificial Intelligence in critical infrastructure and daily life necessitates a shift beyond mere performance, toward systems that are inherently reliable, ethically aligned, and environmentally conscious. As AI moves from the lab to real-world applications in sectors like healthcare, mobility, and energy, ensuring the “Trustworthiness” of these systems is paramount to their societal acceptance and long-term viability.
The ELIAS, ELLIOT, and ENFIELD Theme Development Workshop on Trustworthy AI brings together leading researchers and industry experts to address the multidimensional challenges of modern AI governance. The workshop is structured into three thematic pillars:

Frugality: Exploring resource-efficient AI and “Green AI” techniques to minimize the computational and environmental footprint of large-scale models.
Fairness: Addressing algorithmic bias, transparency, and socio-technical alignment to ensure AI systems promote equity and prevent discrimination.
Trust: Enhancing the robustness, security, and explainability of AI to build systems that are resilient to adversarial threats and reliable in high-stakes decision-making.

This hybrid 3-hour event will feature 3 sessions, each including 20-min keynote presentations from renowned experts in the field, followed by interactive discussions and a Q&A segment. Light lunch will be served after the end of the workshop.

Registration Deadline
In-person Attendance → February 20th, 2026 – 18:00 CET
Online Attendance → March 4th, 2026 – 18:00 CET

Register here

This workshop is jointly organised by the ELIAS, ELLIOT & ENFIELD projects.

ELLIOT – European Large Open Multi-Modal Foundation Models For Robust Generalization On Arbitrary Data Streams (GA No. 101214398 ) aims to develop the next generation of open Multimodal Generalist Foundation Models (MGFMs): AI systems designed to learn general knowledge and patterns from massive amounts of data of various types — from videos, images, and text to sensor signals, industrial time series, and satellite feeds — and efficiently transfer the generic knowledge learned in generalist manner to a wide variety of downstream tasks. Unlike current foundation models that face significant challenges in terms of generalisation capabilities and support for multimodal data, ELLIOT’s models will be capable of robust generalisation across conditions not seen during the training, coping well with dynamic, noisy, and temporally-evolving multimodal data streams. Real and synthetic data will be leveraged for training MGFMs and for further adapting them for specific downstream tasks in domains like media, earth observation, robot perception, mobility, computer engineering and workflow automation. European HPC infrastructure is directly included in the consortium to ensure the availability of the necessary computing resources. www.elliot-ai.eu

ENFIELD – European Lighthouse to Manifest Trustworthy and Green AI (GA No. 101120657) aims to advance adaptive, green, human-centric and trustworthy AI by establishing a European Centre of Excellence. With a consortium of 30 partners from 18 countries—covering academia, industry, SMEs and the public sector—the project targets key domains such as healthcare, energy, manufacturing and space. ENFIELD will deliver over 75 AI solutions, around 180 high-impact publications, and strategic roadmaps, supported by extensive outreach to foster responsible AI adoption across Europe. www.enfield-project.eu

By bridging the expertise of the ELIAS, ELLIOT, and ENFIELD networks, this workshop aims to highlight technical breakthroughs, explore regulatory implications, and present practical application examples that define the European standard for Trustworthy AI.

Speakers

Victor Charpenay
(ENFIELD, Associate Professor, École des Mines de Saint-Étienne)
Life-Cycle Analysis of AI Systems - A Review

Enzo Tartaglione
(ELIAS, Full Professor, Télécom Paris)
Beyond Traditional Pruning: Layer Collapse for Efficient Deep Learning

Ruta Binkyte-Sadauskiene
(ELLIOT, Researcher, CISPA Helmholtz Center for Information Security)
From Prediction to Interaction: Rethinking Fairness for LLMs and Agentic AI

Charlotte Laclau
(ELIAS, Associate Professor, Télécom Paris)
There is No Universal Fairness

Sebastian Heil
(ENFIELD, Senior Researcher, Chemnitz University of Technology)
Human Perception of AI Trustworthiness

Georgios Spathoulas
(ENFIELD, Associate Professor, Norwegian University of Science and Technology)
Integrity Challenge of AIaaS

Agenda
Please note that the agenda is subject to slight changes and will be updated accordingly.

Workshop Agenda

Time
Duration
Session Name

09:00 – 09:10
5 mins

Welcome & Introductions

Opening remarks
Introduction to the workshop’s theme
Overview of the sessions and objectives

Nicu Sebe (ELIAS, Full Professor, University of Trento), Florence d'Alché (ELIAS, Institut Polytechnique de Paris)

09:10 – 10:00
Session 1: Frugality

20 mins

Keynote: Life-Cycle Analysis of AI Systems - A Review
Victor Charpenay
(ENFIELD, Associate Professor, École des Mines de Saint-Étienne)

20 mins

Keynote: Beyond Traditional Pruning: Layer Collapse for Efficient Deep Learning
Enzo Tartaglione (ELIAS, Full Pofessor, Télécom Paris)

10 mins
Q&A and Discussion

10:00 – 10:50
Session 2: Fairness

20 mins

Keynote: From Prediction to Interaction: Rethinking Fairness for LLMs and Agentic AI
Ruta Binkyte-Sadauskiene (ELLIOT, Researcher, CISPA Helmholtz Center for Information Security)

20 mins

Keynote: There is No Universal Fairness: Lessons from Text Classification to Graph Prediction
Charlotte Laclau (ELIAS, Associate Professor, Télécom Paris)

10 mins
Q&A and Discussion

10:50 – 11:05
15 mins
BREAK

11:05 – 11:55
Session 3: Trust

20 mins

Keynote: Human perception of AI trustworthiness
Sebastian Heil (ENFIELD, Senior Researcher, Chemnitz University of Technology)

20 mins

Keynote: The integrity challenge of the AIaaS model
Georgios Spathoulas (ENFIELD, Associate Professor, Norwegian University of Science and Technology)

10 mins
Q&A and Discussion

11:55 – 12:00
5 mins

Conclusion & Wrap-up

Summary of key takeaways
Final remarks and next steps

Nicu Sebe (ELIAS, Full Professor, University of Trento), Florence d'Alché (ELIAS, Institut Polytechnique de Paris)

Please leave this field emptyRegistration & Participation
Participation is free, but registration is required. Once registered, participants will receive further event details.

Registration Deadline
In-person Attendance → February 20th, 2026 – 18:00 CET
Online Attendance → March 4th, 2026 – 18:00 CET
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🔹 Register for TDW on Trustworthy AI
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Details
Date: Thursday, March 6th, 2026
Time: 09:00 – 12:00 CET
Format: Hybrid Event
Duration: 3 hours (3 sessions with Q&A)
Registration Deadlines:
In-person → February 20th, 2026 – 18:00 CET
Online → March 4th, 2026 – 18:00 CET

Venue
Location:
ENS – Department of Biology (IBENS)
46 Rue d’Ulm
75005 Paris, France

Winter School 2026: AI for Earth System, Hazards & Climate Extremes
2026-03-16 08:00 - 2026-03-20 17:00 | NTUA – Patission Campus map, Athens, Greece
Hosted by National Technical University of Athens (NTUA) and co-organised by ELLIS Unit Jena, the the MeDiTwin and AI4PEX projects, the ELLIS Winter School 2026 brings together researchers, practitioners, and students to explore how artificial intelligence can advance Earth system and climate science.
With growing urgency to understand and mitigate floods, wildfires, droughts, and other extreme events, this school aims to foster interdisciplinary collaboration and develop robust, interpretable AI models for monitoring, forecasting, and impact assessment.
Through lectures, tutorials, and interactive discussions, participants will gain hands-on experience, exchange knowledge, and contribute to next-generation AI-driven environmental solutions.



Who Should Attend
This winter school is designed for:

Master’s and PhD students
Postdoctoral researchers
Early career professionals

If you are passionate about AI, data analytics, and environmental sciences—whether from academia, research, or industry—this program is for you! Eligibility details (PDF)



Programme Highlights

Apply AI to Climate Extremes: Use AI tools to model, monitor, and predict extreme weather and climate events in real-world scenarios.
Understand and Explain Models: Learn to make AI models transparent, physics-informed, and causally grounded to improve trust and understanding.
Assess and Communicate Results: Develop skills to interpret results and communicate findings to scientists, decision-makers, stakeholders, and the public.
Collaborate and Exchange Ideas: Work with experts in AI and climate science and connect with researchers from diverse backgrounds.

The full programme will be announced soon. Check here for updates



Registration
Deadline: January 2, 2026, 23:59 EET
Registration Requirements:

CV (PDF, max 2 pages)
Motivation statement (max 1200 characters)
Impact statement (max 1200 characters)

Register Now

Check out the official event page

Register now

Event Details

Event:
ELLIS Winter School 2026: AI for Earth System, Hazards & Climate Extremes

Start Date:
March 16, 2026

End Date:
March 20, 2026

Location:
NTUA – Patission Campus

Organisers:
NTUA, ELLIS Unit Jena, MeDiTwin & AI4PEX Projects

Format:
In-person, hands-on

Participant Fee:
350 €

Register for the Event

Venue
National Technical University of Athens – Patission Campus
Athens, Greece

© All rights reserved. ELIAS

Winter School 2026: Foundation Models (FoMo)
2026-03-24 08:00 - 2026-03-27 17:00
The Winter School aims to highlight groundbreaking innovations in foundation models across a range of subfields, offering participants a deep understanding of how Europe is shaping its own research priorities in this rapidly evolving area.
Over four immersive days, participants will engage in cutting-edge lectures delivered by leading experts from academia and industry, explore collaborative research activities, and connect with like-minded peers who share a passion for the future of foundation models.
The programme features three lectures per day, a poster session, and interactive sessions designed to spark interdisciplinary exchange and inspire new research ideas. In addition to the academic components, social activities will provide space for informal discussion, networking, and collaboration in a stimulating and inclusive environment
More speakers will be announced soon. Confirmed speakers to date include Frank Hutter (ELLIS Fellow, ELLIS Institute Tübingen, University of Freiburg), Elisa Ricci (ELLIS Fellow, University of Trento & Fondazione Bruno Kessler), and Ekaterina Shutova (ELLIS Scholar, University of Amsterdam).

Application
The 2024 FoMo Winter School brought together 150 participants representing 90 institutions and 40 nationalities. In 2025, the event grew even further, hosting 220 participants from 100 institutions and 43 nationalities.
While preference will be given to ELLIS PhD candidates, applications are warmly welcomed from qualified individuals worldwide.
Please submit your application by 14 December 2025 at 23:59 CET. Conditional results will be shared by January 2026, and your spot will be secured once the registration fee is paid after acceptance.
The participation fee for the winter school are, as follows:

MSc, PhD students and Postdoc researchers: €350
Industry/ startup/ other participants: €550

The fees cover logistic costs, coffee breaks, lunch, and social activities (travel and accommodation are self-organized). The fee can be waived for applicants from underrepresented backgrounds who require financial assistance (see application form). Please note that registration fees can be canceled for a full refund only two weeks after the payment.
You can read the overview of the first ELLIS Winter School on Foundation Models in 2025 via the following link, and in 2024 here.

Register now!

Previous Editions:
You can read the overview of the first ELLIS Winter School on Foundation Models in 2025 via the following link, and in 2024 here.

The 2026 FoMo School is hosted and funded by the ELLIS unit Amsterdam, with the support of ELIAS – European Lighthouse of AI for Sustainability and ELLIOT – European Large Open Multi-Modal Foundation Models For Robust Generalisation On Arbitrary Data Streams Projects (funded by the European Union’s Horizon Europe research and innovation programme).

Event Details

Event:
Winter School on Foundation Models (FoMo) 2026

Start Date:
March 24, 2026 at 09:00

End Date:
March 27, 2026 at 17:00

Organisers:
Cees Snoek, Yuki Asano, Adela Pranindiati

Register for the Event

Venue
Tolhuistuin
Amsterdam, Netherlands

© All rights reserved.
