BEGIN:VCALENDAR VERSION:2.0 PRODID:-//elias-ai - ECPv6.18.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:elias-ai X-ORIGINAL-URL:https://elias-ai.eu X-WR-CALDESC:Events for elias-ai REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/Rome BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20250330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20251026T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20260329T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20261025T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20270328T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20271031T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20280326T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20281029T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20261126T090000 DTEND;TZID=Europe/Rome:20261126T130000 DTSTAMP:20261022T093452Z CREATED:20260824T092518Z LAST-MODIFIED:20261022T093452Z UID:12605-1795683600-1795698000@elias-ai.eu SUMMARY:ELIAS & ELLIOT Theme Development Workshop on AI for a Sustainable Society DESCRIPTION:About\n Morning: TDW\n Afternoon: Pre-NeurIPS Fest\n Speakers & Talks\n Venue\n Registration\n \n\n\n\n \n \n\n \n The Day\n About the event\n The Theme Development Workshop (TDW) on AI for a Sustainable Society will take place on Thursday\, 26 November 2026\, at Politecnico di Milano in Milan\, co-hosted with the Italian ELLIS Pre-NeurIPS Fest\, where the Italian units present their latest work. \n \n The workshop will bring together the \n ELIAS\, \n ELLIOT\, \n ELLIS\, \n and EU project communities to explore AI’s role in addressing societal and environmental challenges\, identify emerging research directions\, and foster new collaborations.\n \n \n \n \n Morning: ELIAS and ELLIOT TDW\n AI for a Sustainable Society. 5 invited talks\, each 25 min plus 5 min Q&A.\n \n \n Afternoon: Italian Pre-NeurIPS Fest\n 2 talks of 10 min plus 5 min Q&A per unit: Genoa\, Modena\, Trento\, Turin\, Milan.\n \n \n \n\n \n Programme\n Morning: ELIAS and ELLIOT TDW\n \n ELIAS speaker\n ELLIOT speaker\n \n \n \n \n AM\n \n Thursday\, 26 November 2026\n AI for a Sustainable Society\n \n \n \n 09:00 – 09:15Welcome remarks\n 09:15 – 09:45Daniel Gatica-PerezELIASInvited talk\n 09:45 – 10:15Paula HelmELLIOTInvited talk\n 10:15 – 10:45Elena BurceanuELIASInvited talk\n 10:45 – 11:15Break\n 11:15 – 11:45Christoph R. LandoltELLIOTInvited talk\n 11:45 – 12:15Matteo CastiglioniELIASInvited talk\n 12:15 – 14:00Lunch break + poster session\n \n \n \n \n\n \n Programme\n Afternoon: Italian Pre-NeurIPS Fest\n \n \n \n PM\n \n 2 talks of 10 min + 5 min Q&A per unit\n Italian ELLIS units\n \n \n \n 14:00 – 14:30Unit Genoa\n 14:30 – 15:00Unit Modena\n 15:00 – 15:30Unit Trento\n 15:30 – 16:00Break\n 16:00 – 16:30Unit Turin\n 16:30 – 17:00Unit Milan\n 17:00 – 19:00Poster session continues + aperitivo\n \n \n \n \n\n \n \n Keynotes & Bios\n Invited Speakers & Talks\n \n \n \n \n \n \n \n Daniel Gatica-Perez\n Idiap & EPFL\n \n ELIAS\n \n Participatory AI: Working with Local Communities\n \n Abstract\n Communities should be central actors to imagine\, design\, and use AI. The talk will present recent experiences with participatory AI approaches — in which stakeholders share their knowledge and experience to work on problems that matter in the context of cities and education — and argue that democratic engagement of the public is fundamental for a sustainable future. \n \n Biography\n Daniel Gatica-Perez leads the Social Computing Group at Idiap Research Institute and is a professor at EPFL in Switzerland. His work integrates human-centered and participatory methods with mobile\, social\, and AI technologies to study how people and technology intersect in everyday life\, and to support individuals and communities using these technologies. He also works with organizations on social innovation projects. \n \n \n\n \n \n \n \n Paula Helm\n Center for Critical Computational Studies\, Goethe University Frankfurt\n \n ELLIOT\n \n Diversity and AI: Limits of Generalisability\n \n Abstract\n Foundation models are often presented as general-purpose systems that can transfer across languages\, images\, and contexts. Agentic systems may extend these capacities through increased inference time\, retrieval\, web access\, and tool use\, but these are additional components and not inherent properties of the model. This talk examines where claims of generalisability reach their limits. \n Examples from language\, vision\, and spatiotemporal reasoning show how models reproduce Anglocentric and culturally specific assumptions. The problem is not only missing data\, but also the categories and evaluation standards built into these systems. The talk therefore distinguishes scalable diversity\, adding more languages\, modalities\, or domains to pre-defined structures\, from meaningful diversity\, which by definition changes things and requires epistemic nuance\, plural standards of competence\, and accountability to relevant communities. \n\n Biography\n Paula Helm is Professor for Empirical Computational Ethics at the Center for Critical Computational Studies\, Goethe University Frankfurt. Her work brings together Critical AI Research\, Empirical Ethics\, and Science and Technology Studies. She studies computational systems not only as technical artefacts\, but as infrastructures through which values\, power relations\, and forms of knowledge are organised. \n Before joining C³S\, Helm was Assistant Professor of Ethics and Data Science at the University of Amsterdam\, where she served as Scientific Lead of the Empirical Ethics Research Group at the Amsterdam Institute for Advanced Studies and co-coordinated the MA track Cultural Data & AI\, which combines critical inquiry with data science. \n A central concern in her work is how AI ethics can move beyond abstract principles and public-facing commitments toward reflexive empirical inquiry\, infrastructural accountability\, and more just forms of technological design. \n Paula is an ELLIS scholar and regularly serves for and publishes in interdisciplinary venues like FACCT\, Big Data & Society or the Cambridge Forum for AI. \n \n \n\n \n \n \n \n Elena Burceanu\n Bitdefender\n \n ELIAS\n \n What Models Learn About Their Data: From Spurious Correlations to Dataset Fingerprints\n \n Abstract\n Models internalize more about their training data than their predictions reveal. We present BEE\, which exposes spurious correlations through the weight space and embedding geometry underlying model decisions\, and Semantic Correlation Descriptors\, which turn such learned correlations into dataset specific fingerprints for dataset level membership inference. Together\, these works connect model explainability with training data provenance\, showing how internal semantic structure can reveal both harmful shortcuts and traces of the data that induced them. \n\n Biography\n Elena Burceanu is a Principal Research Scientist at Bitdefender\, where she works on robust and reliable machine learning\, with a focus on OOD generalization and spurious correlations. She holds a PhD from the University of Bucharest\, Romania and is actively involved in the ML research community\, including serving as an Associate Program Chair at NeurIPS 2025\, Local Chair for CoLLAs 2026\, and co-organizing EEML summer school and RoAIDays in Bucharest. Her recent work focuses on understanding what models learn from their data\, why unintended correlations emerge\, and what these learned patterns can reveal about the training data itself. \n \n \n\n \n \n \n \n Christoph Landolt\n CISPA Helmholtz Center for Information Security\n \n ELLIOT\n \n The Oracle’s Gambit: A Game-Theoretic Framework for Responsible AI Release\n \n Abstract\n Frontier AI models are rapidly transforming cyber offense and defense by discovering vulnerabilities\, drafting exploits\, and generating patches. These dual-use capabilities undermine classic models of vulnerability disclosure\, which assume discovery is scarce and costly. So when a lab releases a frontier model\, who gains the upper hand: defenders or attackers? \n We present The Oracle’s Gambit\, a three-player leader–follower (Stackelberg) game between frontier AI labs\, software vendors\, and adversaries. We study how release policies\, from full open release to defender pre-release windows and embargoes\, shape the downstream race between patching and exploitation. \n Security depends on the capability gap a pre-release opens for defenders\, not on capability level alone. Symmetric access can intensify attacks\, while a timed pre-release gives defenders a temporary edge\, and it is the optimal lab policy in 80–95% of simulations under parameter uncertainty. Release timing is therefore a concrete governance lever for protecting the digital infrastructure society depends on. \n\n Biography\n Christoph Landolt is an ELLIS PhD student at CISPA Helmholtz Center for Information Security\, supervised by Mario Fritz. He works on agentic AI for cybersecurity\, focusing on multi-agent learning and game theory. Previously\, he was a research fellow at the Swiss Cyber-Defence Campus\, training autonomous penetration-testing agents\, and a machine learning research assistant at the Eastern Switzerland University of Applied Sciences (OST). \n \n \n\n \n \n \n \n Matteo Castiglioni\n Politecnico di Milano\n \n ELIAS\n \n Learning CDFs and Fixed-Price Mechanisms\n \n Abstract\n Market mechanisms shape how goods and resources are exchanged. AI systems supporting these decisions must often learn from limited observations\, without access to participants’ private valuations. In this talk\, I will discuss the sample complexity and regret of learning fixed-price mechanisms\, highlighting connections to learning multidimensional cumulative distribution functions. \n\n Biography\n Matteo Castiglioni is an assistant professor in the Department of Electronics\, Information and Bioengineering at Politecnico di Milano\, where he also received his PhD in Computer Science. His research focuses on learning and decision-making in complex multi-agent environments\, combining approaches from machine learning\, algorithmic game theory\, and theoretical computer science. \n \n \n\n \n \n\n \n Location\n Venue\n Politecnico di MilanoEdificio 20AVia Ponzio 34/5\, Milan\, Italy \n \n \n \n \n\n \n\n \n \n 📅 26 November 2026\n Register now →\n \n \n Event details\n FormatHybrid\n Time09:00 – 19:00\n MorningELIAS & ELLIOT TDW\n AfternoonPre-NeurIPS Fest\n VenueEdificio 20A\n \n \n \n\n\n\n \n Registration\n Join us in Milan\n Register through the online form to take part in the workshop\, the Pre-NeurIPS Fest and the poster session. \n Open registration form → URL:https://elias-ai.eu/event/tdw-on-ai-for-a-sustainable-society/ LOCATION:Politecnico di Milano\, Via Ponzio 34/5\, Milan\, Italy CATEGORIES:TDW ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2026/08/TDW_ELIAS-1.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20261212T080000 DTEND;TZID=Europe/Rome:20261212T170000 DTSTAMP:20261014T124814Z CREATED:20261014T124811Z LAST-MODIFIED:20261014T124814Z UID:12793-1797062400-1797094800@elias-ai.eu SUMMARY:ELIAS @ NeurIPS2026 | Foundations of Agentic Systems Theory (FAST) workshop DESCRIPTION:The Foundations of Agentic Systems Theory (FAST) workshop will take place on December 12\, 2026 in Paris\, held at NeurIPS 2026. FAST brings together researchers from AI\, complex systems\, developmental biology\, organizational sociology and cognitive science to ask how the behavior of systems of LLM-based agents emerges\, and how it can be understood and controlled. \n\n \n 12 DecWorkshop day\, 2026\n ParisPalais des Congrès\n 4Keynote speakers\n 8Research topics\n \n\n About the workshop\n\n The most interesting and consequential behaviors of complex systems often arise not from the parts in isolation\, but from the patterns of interaction between them. Current development of agentic AI has largely focused on building more capable individual agents\, which risks underestimating both the capabilities and the risks of agents once they become widespread. \n\n Existing theory from control\, game and economic theory\, operations research and the social sciences does not map cleanly onto agentic AI: LLM-based agents are neither idealized rational agents nor culturally shaped human agents. FAST provides a venue to investigate which mechanisms of emergent behavior carry over to systems of LLM-based agents\, which properties of the underlying agents facilitate or impede them\, and how far system-wide outcomes can be controlled or induced. Interdisciplinary participation is strongly encouraged\, through both contributions and invited talks. \n\n Topics of interest\n\n \n Mechanisms of emergent capabilities and behaviors in agentic systems\n Evaluation\, detection\, and bounding of emergent capabilities or failure modes\n Harness engineering and (neuro-symbolic) scaffolding\n Theory of mind and recursive social cognition\n Formation of norms\, conventions\, and collective bias in populations of agents\n Compositional safety and governance\n Definitions and philosophy of agency and emergence in engineered systems\n Observability\, monitorability and controllability of populations of agents\n \n\n Keynote speakers\n\n \n Michael LevinTufts UniversityStudies bioelectricity\, morphogenesis and collective cognition\, and how competent parts compose into collective agents with goals of their own.\n Danielle PerszykAmazon AGI SF LabCognitive scientist leading the human-computer interaction team\, working on practical AI agents that act in digital and physical environments.\n Winnie StreetGoogle ResearchResearches social cognition in large language models\, including theory of mind and its implications for alignment and group dynamics.\n Atoosa KasirzadehCarnegie Mellon University / Google DeepMindPhilosopher of AI ethics and governance\, working on AI existential risk and on characterizing AI agents for alignment and governance.\n \n\n Program\n\n The workshop opens with brief remarks from the organizers\, followed by a mix of keynotes\, contributed talks\, poster sessions and a panel\, with networking breaks throughout to maximize discussion time. \n\n \n Keynotes30-minute keynote talks from leading researchers across cognitive science\, biology\, philosophy and AI.\n Contributed talks and postersTwo contributed talk sessions and two poster sessions presenting accepted papers.\n Panel discussionAn hour-long panel\, “Mind to machines: Emergence\, methods\, and risks”\, moderated by Joshua Krook. Panelists will be announced closer to the workshop.\n \n\n The detailed schedule will be posted on the workshop website once paper decisions have been finalized. \n\n Important dates\n\n \n September 5\, 2026 (AoE)Paper submission deadline\n September 29\, 2026 (AoE)Acceptance notification\n December 12\, 2026Workshop\n December 20\, 2026 (AoE)Camera-ready deadline\n \n\n Submission information\n\n \n Full papersUp to 7 pages\, excluding references and appendices. For mature or completed research.\n Short papersUp to 4 pages\, excluding references and appendices. For ongoing work\, early-stage ideas\, or the release of benchmarks and datasets.\n \n\n Submissions are made through OpenReview using the NeurIPS 2026 template\, and must be anonymized for double-blind review. Accepted papers are presented as posters or contributed talks. Papers are non-archival\, so work under submission elsewhere is welcome. \n\n Registration\n\n Registrations for the NeurIPS Europe event have sold out\, and a waitlist is open. Registration is complimentary for financial aid recipients\, volunteers\, top reviewers\, ACs/SACs\, and authors of papers at affinity events. A second call for volunteers\, open to PhD students and postdocs and including free registration\, will open in early October. The venue is the Palais des Congrès de Paris. \n\n Organizers\n\n \n Erik MiehlingIBM Research - Ireland\n Madeline ReineckeUniversity of Oxford\n Hamza MostafaUniversity of Waterloo\n Jordan McAfooseIBM Research - Zurich\n Irina RishUniversité de Montréal / Mila\n Djallel BouneffoufIBM Research - Yorktown Heights\n \n\n \n December 12\, 2026 · Paris. Foundations of Agentic Systems Theory at NeurIPS 2026. Questions? Write to fast.workshop.team@gmail.com or visit the workshop website. URL:https://elias-ai.eu/event/elias-neurips2026-fast-workshop/ CATEGORIES:Conferences,Workshops ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2026/10/ELIASFAST2026.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20261213T080000 DTEND;TZID=Europe/Rome:20261213T170000 DTSTAMP:20261014T140431Z CREATED:20261014T134930Z LAST-MODIFIED:20261014T140431Z UID:12827-1797148800-1797181200@elias-ai.eu SUMMARY:ELIAS @ NeurIPS2026 | Representations for the Physical Sciences (R/PS) workshop DESCRIPTION:The Representations for the Physical Sciences (R/PS) workshop will take place on December 13\, 2026 in Paris\, held in conjunction with NeurIPS 2026. R/PS provides a tightly scoped forum bringing together machine learning researchers\, computational scientists\, and physicists to explore how representation learning can unlock breakthroughs across physical systems. \n\n \n 13 DecWorkshop day\, 2026\n ParisSorbonne University\n 5Invited speakers\n 4Core themes\n \n\n About the workshop\n\n Physical data are inherently continuous\, multi-scale\, non-Euclidean\, and strictly bound by physical laws. While standard machine learning architectures have driven massive successes in vision and language\, standard pretext tasks\, patching\, and loss functions often fail to preserve underlying physical symmetries\, conservation principles\, and sub-grid dynamics. \n\n For its first edition\, the R/PS workshop addresses the foundational representation learning bottleneck in physical systems. We focus on four key interconnected themes: self-supervision under physical constraints\, out-of-distribution transfer to actionable regimes\, adaptive simulation sampling\, and discrete tokenization of continuous physical modalities. \n\n Core themes\n\n \n \n Self-Supervision\n Learning with no labels\n Extracting physical structures from abundant unlabeled data while ensuring SSL pretext objectives preserve conservation laws and physical constraints.\n \n \n Transfer Learning\n Falsifiable generalization\n Ensuring model predictions extrapolate reliably into physically meaningful OOD regimes where wet-lab or high-fidelity validation is expensive.\n \n \n Sampling\n Adaptive data generation\n Leveraging simulators (MD\, DFT\, CFD\, PDE solvers) and experimental loops to shape the training distribution via adaptive sampling.\n \n \n Tokenization\n Physical modalities\n Designing novel tokenization schemes for continuous\, multi-scale\, and geometric data without destroying sub-grid dynamics or symmetries.\n \n \n\n Topics of interest\n\n \n Self-supervised objectives preserving physical constraints & conservation laws\n Out-of-distribution extrapolation & falsifiable embedding evaluation\n Adaptive simulation & closed-loop data generation with PDE/DFT solvers\n Geometric\, continuous\, and multi-scale tokenization for physical data\n Research Notes on open problems\, benchmarks\, paradigms\, and datasets\n Physics-informed foundation models and geometric representations\n \n\n Invited speakers\n\n \n \n Nils Thuerey\n Technical University of Munich\n Researches deep learning\, partial differential equations\, and fluid dynamics simulations.\n \n \n Jean-Philippe Vert\n Bioptimus\n Specializes in machine learning for biology\, genomics\, and precision medicine.\n \n \n Mark Girolami\n University of Cambridge\n Focuses on statistical ML\, uncertainty quantification\, and engineering applications.\n \n \n Francesco Locatello\n ISTA\n Works on causal representation learning\, causal discovery\, and AI for scientific discovery.\n \n \n Jigyasa Nigam\n Flatiron Institute\n Researches atomistic systems and physically constrained machine learning.\n \n \n\n Program & Format\n\n The workshop is a single-day in-person event featuring invited keynotes\, oral presentations of accepted short papers\, interactive poster sessions\, and community discussions. \n\n \n KeynotesInvited talks by leading researchers at the intersection of physics\, AI\, and scientific computing.\n Contributed Talks & PostersOral and poster presentations selected from peer-reviewed short paper submissions.\n Discussion & NetworkingStructured time for interdisciplinary exchange\, open discussions\, and collaboration.\n \n\n Important dates\n\n \n July 29\, 2026 (AoE)Call for papers opens\n August 29\, 2026 (AoE)Paper submission deadline\n September 29\, 2026 (AoE)Author notification\n December 13\, 2026Workshop day\n \n\n Submission information\n\n \n \n Short Papers\n Up to 4 pages (excluding references and appendices) for mature or ongoing research.\n \n \n Research Notes\n Accessible explanations of open problems\, paradigms\, datasets\, or algorithms. Clarity & usefulness emphasized.\n \n \n\n Submissions must consist of a single anonymized PDF following the NeurIPS LaTeX format. Accepted papers are non-archival and will be presented via poster or oral presentation. \n\n Venue & Location\n\n The workshop takes place at Room 108\, Campus Pierre et Marie Curie\, Sorbonne University (4 Pl. Jussieu\, 75005 Paris\, France) as part of the NeurIPS 2026 Paris events. \n\n Organizers\n\n \n Pietro NovelliItalian Institute of Technology\n Massimiliano PontilIIT / UCL\n Florence d'Alché-BucTélécom Paris / IP Paris\n Pierre GentineColumbia University\n Kara LambColumbia University\n Mathias NiepertUniversity of Stuttgart\n \n\n \n December 13\, 2026 · Paris. Representations for the Physical Sciences at NeurIPS 2026. Questions? Write to representations-physical-sciences@googlegroups.com or visit the official website. URL:https://elias-ai.eu/event/elias-neurips2026-representations-for-the-physical-sciences-r-ps-workshop/ LOCATION:NeurIPS2026\, Campus Pierre et Marie Curie\, Room 108 Sorbonne University\, 4 Pl. Jussieu\,\, Paris\, 75005\, France CATEGORIES:Conferences,Workshops ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2026/10/ELIASRPS2026-1.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20270125T080000 DTEND;TZID=Europe/Rome:20270129T170000 DTSTAMP:20261022T161320Z CREATED:20261014T132417Z LAST-MODIFIED:20261022T161320Z UID:12815-1800864000-1801242000@elias-ai.eu SUMMARY:ELIAS-ELLIS Winter School 2027 DESCRIPTION:Programme Overview\n Participant Profile\n Schedule & Speakers\n Organising Committee\n Location & Experience\n Accommodation\n How to Reach Us\n Materials\n \n\n\n\n\n \n \n\n \n \n Overview\n Programme overview\n The 2026-27 ELIAS-ELLIS Winter School will be the second edition of a week-long event bringing together ELLIS PhD students\, postdoctoral researchers\, Fellows and Members to exchange knowledge across machine learning and multimodal intelligent systems. Its scientific theme will be “Multimodal Learning with a special focus on Foundation Models\, Physical and Embodied AI/Robotics\, and Sustainability.” The school will combine frontier research with discussion of industrial applications\, involving leading researchers from academia and industrial laboratories. \n Scientific activities will run from 09:00 to 17:00\, Monday to Friday. The programme will combine four complementary formats: \n\n \n \n Keynotes and advanced lectures\n On large-scale foundation and generative models\, self-supervised and multimodal representation learning\, multimodal learning for robotics\, and machine learning for sustainable solutions.\n \n \n Tutorials and hands-on sessions\n Sessions that connect methodological advances with practical applications.\n \n \n PhD posters and discussion\n Poster and discussion sessions\, representing approximately 30% of the scientific programme\, that give participants structured feedback.\n \n \n Academia–industry exchanges\n Exchanges\, demonstrations and networking activities in Brunico and its surroundings.\n \n \n \n\n \n \n Audience\n Participant profile and capacity\n The school will welcome ELLIS PhD students\, postdoctoral researchers\, Fellows\, Scholars and Members\, as well as invited academic and industry participants. Places will be allocated primarily to doctoral and postdoctoral researchers\, with a limited number reserved for local PhD students and students affiliated with CVPL\, the Italian Association for Computer Vision\, Pattern Recognition and Machine Learning. \n \n\n \n \n Agenda\n Programme schedule & speakers\n \n Programme schedule \n To be announced. \n\n Speakers \n To be announced. \n \n\n \n \n Team\n Organising committee\n\n \n\n \n \n Prof. Oswald Lanz\n Free University of Bozen-Bolzano \n \n Read more\n Prof. Oswald Lanz is endowed professor at the Free University of Bozen-Bolzano since 2021\, where he is leading the research in computer vision of the Data-driven AI macro-area and oversees the research-oriented developments of industrial research at Covision Lab. Previously\, he was head of the Vision technologies unit at Fondazione Bruno Kessler\, Trento. He received an MSc degree in mathematics and a PhD in computer science from the University of Trento. He published more than 80 articles in journals and conferences\, was recipient of Amazon Machine Learning Research Award in 2020 and of the ACM Multimedia 2015 best paper. \n \n \n\n \n \n Prof. Nicu Sebe\n University of Trento and ELLIS Unit Trento \n \n Read more\n Prof. Nicu Sebe is the director of the ELLIS Unit Trento and of the ELLIS program on Multimodal Learning Systems. He received the PhD from Univ. of Leiden\, Netherlands in 2001 and has been Full Professor at the University of Trento since 2009. He was the General Co-Chair of the IEEE FG 2008 and ACM Multimedia 2013 & 2022 and a program chair of ACM Multimedia 2011 and 2007\, ECCV 2016\, ICCV 2017 and ICPR 2020. He has been several times Area Chair of CVPR\, ACM MM\, ICCV\, ECCV\, and others. Currently\, he is the President of the Italian Association of CV\, PR and ML and is a Fellow of IAPR. He has been PI of many EU and National projects and has published more than 500 articles. He is Associate Editor of IEEE TPAMI and the Editor in Chief of Computer Vision and Image Understanding journal. He is the coordinator of the ELIAS project (European Lighthouse of AI for Sustainability)\, one of the ELLIS EU Networks of Excellence. \n \n \n\n \n \n Prof. Elisa Ricci\n University of Trento & Fondazione Bruno Kessler \n \n Read more\n Prof. Elisa Ricci is an Associate Professor at the Department of Information Engineering and Computer Science (DISI) at the University of Trento and the head of the Deep Visual Learning research group at Fondazione Bruno Kessler. She has published over 160 papers on international venues. Her research interests are in the areas of computer vision\, robotic perception\, and multimedia analysis. At UNITN\, she is the Doctoral Program Coordinator in Information Engineering and Computer Science. She is an Associate Editor of Computer Vision and Image Understanding and Pattern Recognition. She is/was the Program Chair of ECCV 2024\, ACM MM 2020 and the Diversity Chair of ACM MM 2022. She received the ACM MM 2015 Best Paper award and ICCV 2021 Honorable mention award. She is an ELLIS Fellow. \n \n \n\n \n \n Dr. Fabio Poiesi\n Fondazione Bruno Kessler \n \n Read more\n Dr. Fabio Poiesi is a Research Scientist at Fondazione Bruno Kessler\, Trento\, Italy. He received his PhD degree in Electronic Engineering and Computer Science from Queen Mary University of London (UK) in 2014. He served as Guest Editor in ACM TOMM and IMAVIS\, and as Area Chair in IEEE ICPR 2020 and 2022. He participated in several European Projects as workpackage leader and as PI in JPI/CH SHIELD. He is author of more than 50 publications in journals and conferences (919 Cit.\, h-index 16). Fabio is an ELLIS member and is affiliated to the ELLIS Unit Trento. \n \n \n\n \n \n\n \n \n Venue & Atmosphere\n Event location and experience\n\n Event location \n The event will take place at the new convention area NOBIS\, adjacent to the NOI Techpark Brunico\, featuring conference rooms for 10–526 attendees. It is just a 5-minute walk from the city center. NOBIS Website\, NOI Techpark Website \n \n NOBIS Event Space\n NOI Techpark Brunico\n \n\n Additional venues \n Some keynotes and discussions will be held at the LUMEN Museum of Mountain Photography\, located at the summit of Kronplatz (2\,250 m above sea level) and accessible by cable car from Brunico. LUMEN Museum Website \n \n LUMEN Museum Exterior\n LUMEN Museum Interior\n \n\n Experience \n Brunico\, nestled in the South Tyrolean mountains and Dolomites\, transforms into a winter wonderland and is a top spot for winter sports. Enjoy a special dining event in an alpine hut\, followed by a keynote and industry talk amidst breathtaking landscapes. \n \n Kronplatz by Night\n Brunico\, South Tyrol\n \n\n Useful links \n Südtirol Guest Pass \n \n\n \n \n Stay\n Accommodation\n Below are recommended accommodations organized by region near Brunico and Kronplatz: \n\n \n \n Ferienregion Bruneck-Kronplatz\n \n \n Hotel Ander**** Bruneck\n info@hotelander.com\n \n \n Hotel Corso am Graben**** Bruneck\n info@hotelcorso.com\n \n \n Hotel Langgenhof**** Bruneck-Stegen\n hotel@langgenhof.com\n \n \n Hotel Mühlgarten**** St. Lorenzen-Stefansdorf\n hotel@muehlgarten.com\n \n \n Hotel Post**** Bruneck\n info@hotelpost-bruneck.com\n \n \n Hotel Rudolf**** Reischach\n info@hotel-rudolf.com\n \n \n Ferien- und Wellnesshotel Windschar**** Gais\n info@windschar.com\n \n \n Hotel Gasthof Jochele**** Pfalzen\n info@jochele.it\n \n \n Hotel Kristall**** Pfalzen\n info@hotel-kristall.it\n \n \n B&B Boutique Hotel Clara***s Reischach\n info@clara-home.com\n \n \n Hotel B&B Feldmessner***s Reischach (Ü/F)\n info@feldmessner.com\n \n \n Hotel Amaten***s Bruneck-Amaten\n hotel@amaten.it\n \n \n Gourmet- und Boutiquehotel Tanzer***s Pfalzen\n info@tanzer.it\n \n \n Hotel Martha*** Reischach\n info@hotel-martha.it\n \n \n Hotel Wochtla Buam*** Bruneck-Stegen\n info@wochtla-buam.com\n \n \n Hotel Enzian*** Gais-Uttenheim\n info@enzian.it\n \n \n Pension Pichlerhof** Bruneck-Luns\n info@pichlerhof.info\n \n \n Residence Grünbacher*** Pfalzen\n info@gruenbacher.it\n \n \n Gasthof Sonne** St. Lorenzen\n info@gasthof-sonne.it\n \n \n Garni Hattlerhof B&B** Bruneck-St. Georgen\n info@hattlerhof.com\n \n \n Garni Schorneck** Reischach\n info@schorneck.com\n \n \n \n\n \n \n Ferienregion Kiens\n \n \n Hotel Kronblick**** Kiens\n kronblick@kronhotels.com\n \n \n Bonfanti Design Hotel**** St. Sigmund\n info@bonfanti-hotel.com\n \n \n Taubers Bio Vitalhotel**** St. Sigmund\n info@taubers-vitalhotel.com\n \n \n Hotel Elisabeth*** Kiens\n info@hotel-elisabeth.it\n \n \n Hotel Sonnenheim*** Hofern\n info@sonnenheim.it\n \n \n Hotel Sigmunderhof*** St. Sigmund\n hotel@sigmunderhof.com\n \n \n Landgasthof Steger*** St. Sigmund\n info@landgasthof-steger.com\n \n \n Gasthof Obermair** Ehrenburg\n info@obermairhof.info\n \n \n Gasthof Pizzeria Petra** St. Sigmund\n info@pizzeriapetra.it\n \n \n Pension Pichler** St. Sigmund\n pension.pichler@gmail.com\n \n \n Pension Siessl** Kiens\n info@pensionsiessl.it\n \n \n \n\n \n \n Ferienregion Olang\n \n \n Hotel Alte Goste**** Oberolang\n booking@alte-goste.com\n \n \n Hotel Kronplatz***s Niederolang\n info@hotel-kronplatz.com\n \n \n Hotel Alp Cron Moarhof***s Mitterolang\n info@alpcronmoarhof.com\n \n \n Hotel Markushof***s Oberolang\n info@markushof.it\n \n \n Hotel Messnerwirt***s Oberolang\n info@messnerwirt.com\n \n \n Hotel Aichner*** Mitterolang\n info@hotel-aichner.com\n \n \n Hotel Christoph*** Geiselsberg\n info@hotelchristoph.it\n \n \n Hotel Rainegg*** Oberolang\n info@hotelrainegg.it\n \n \n Hotel Scherer*** Mitterolang\n info@hotelscherer.com\n \n \n Pension Pfarrwirt*** Niederolang\n info@pfarrwirt.bz\n \n \n \n \n\n \n \n Travel\n How to reach us\n \n \n \n \n By Train\n \n The main connection is via the Brenner Pass\, linking Innsbruck (Austria) to Bolzano/Fortezza (Italy).\n \n • From Switzerland: Direct links from Zurich to Innsbruck.\n • From Vienna: Travel via Salzburg to Innsbruck or take a route through Lienz in East Tirol directly to Brunico.\n • From the South: Travel via Verona toward Innsbruck.\n Once you arrive at Brunico station\, the venue is just a 5-minute walk away. For train schedules\, visit Trenitalia or Südtirol Mobility.\n \n \n\n \n By Air\n \n Nearby airports include:\n \n • Bolzano (Italy)\n • Innsbruck (Austria)\n • Munich (Germany)\n • Bologna (Italy)\n Each airport offers train connections to Fortezza\, from where you can easily reach Brunico.\n \n \n\n \n By Car\n \n Exit A22 at Brennero and follow the indications for Bressanone / Val Pusteria. Take the E66 and keep following the directions for Brunico.\n \n \n\n \n By Taxi\n \n For local taxi services in Brunico:\n Taxi Brunico: +39 0474 410042\n \n \n\n \n \n\n \n \n Resources\n Lectures\, materials & slides\n Coming soon. \n \n\n \n\n \n \n \n Key Information\n \n Start Date\n January 25\, 2027\n \n \n End Date\n January 29\, 2027\n \n \n Location\n Brunico\, Italy\n \n \n\n \n Registration Fees\n \n \n \n Early registration\n €550\n \n Until December 15\, 2026\n \n\n \n \n Late registration\n €650\n \n December 16\, 2026 – January 4\, 2027\n \n\n \n \n Virtual participation\n €200\n \n Registration until January 24\, 2027\n \n\n Register Now\n \n \n \n\n\n\n\n \n Join Us\n Register for ELIAS-ELLIS Winter School 2027\n Secure your place at the 2026-27 ELIAS-ELLIS Winter School in Brunico\, South Tyrol. Early registration is available until December 15\, 2026. \n Register Here → URL:https://elias-ai.eu/event/eliasws2027/ LOCATION:Winter School\, Brunico\, 39031\, Italy CATEGORIES:Winter School ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2026/10/ELIAS-ELLIS-Winter-School.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20270301T080000 DTEND;TZID=Europe/Rome:20270305T170000 DTSTAMP:20261023T110505Z CREATED:20261023T110502Z LAST-MODIFIED:20261023T110505Z UID:12902-1803888000-1804266000@elias-ai.eu SUMMARY:ELLIS Winter School 2027: AI & ML in Earth System Science DESCRIPTION:Overview\n Key Pillars\n Keynotes & Lectures\n Programme & Format\n Registration\n Event Details\n Organising Committee\n\n\n\n\n \n\n\n\n\n\n\n \n\n Overview\n\nELLIS Winter School 2027: AI & ML in Earth System Science\n\n\nMarch 1-5\, 2027 | Friedrich-Schiller-University Jena (Germany). \n\n\n\nThe ELLIS Winter School on “AI & ML in Earth System Science: Exploring current and future challenges in leveraging AI and ML for improving our understanding and modelling of the Earth system” is a 5-day hands-on program hosted by AI4PEX and ELIAS Horizon Europe projects and the ELLIS Unit Jena\, in cooperation with MeDiTwin and EXPECT. \n\n\n\nThe school offers a combination of theoretical lectures\, hands-on training\, and real-world applications\, bringing together experienced leaders and scientists with early career researchers to explore and discuss the latest advances in AI and ML for solving classic\, new and long-standing challenges in Earth System science. \n\n\n\nVisit Official Event Website → \n\n\n\n\n \n\n Focus Areas\n\nKey Pillars\n\n\n\n\n\n\nEARTH SYSTEM DOMAINS\n\n\nInvestigate physical\, chemical\, and biological processes driving land\, ocean\, atmosphere\, and biosphere. Focus on critical interactions and feedbacks defining Earth system behaviour across vast spatial and temporal scales.\n\n\n\n\n\n\nARTIFICIAL INTELLIGENCE & MACHINE LEARNING\n\n\nLearn to analyse Earth observations and enhance system models using cutting-edge techniques. From foundation models and generative AI to stochastic modelling and agentic AI\, adapt methods for specific scientific tasks.\n\n\n\n\n\n\nTRUSTWORTHY AI\n\n\nAssess robustness\, reliability\, physically meaningfulness and identify limitations in AI/ML data-driven approaches. Focus on explainability\, responsible use and the ethical implications of applying AI in Earth system science.\n\n\n\n\n\n\nOPEN CHALLENGES\n\n\nTackle open scientific and methodological challenges\, through open discussions and collaborative group challenges\, identify unresolved questions\, promising research directions and opportunities for interdisciplinary discovery.\n\n\n\n\n\n\n\n \n\n Speakers\n\nKeynotes by Experts\n\n\nKeynotes will feature leading scientists and practitioners sharing cutting-edge insights and forward-looking perspectives on Earth system science and machine learning/AI\, setting the stage for the school's themes and inspiring participants with new ideas and directions. \n\n\n\n\n\n\n\n \n\nZhijing Jin\n\n\nUniversity of Toronto \n\n\n Ethics │ Causality │ Responsible AI\n\n\n\n\n \n\nTapio Schneider\n\n\nCaltech \n\n\n Earth System Modeling │ Coupling\n\n\n\n\n \n\nKonstantin Klemmer\n\n\nETH Zurich \n\n\n Foundation Models │ Land │ Biosphere\n\n\n\n\n \n\nPeter Dueben\n\n\nECMWF \n\n\n Foundation Models │ Coupling\n\n\n\n\n\n\nLectures Introducing Theory and Basics \n\n\n\nThe lectures will provide foundational knowledge and theoretical underpinnings of specific topics\, ensuring participants have a solid understanding of the concepts before diving into hands-on activities. They will cover essential principles and methods in an accessible and engaging manner. \n\n\n \n\n\n\n\n \n\nChristian Reimers\n\n\nMax Planck Institute for Biogeochemistry \n\n\n Land │ Biosphere │ generative AI\n\n\n\n\n \n\nShijie Jiang\n\n\nMax Planck Institute for Biogeochemistry \n\n\n Climate Extremes │ explainable AI\n\n\n\n\n\n\n \n\n Agenda & Schedule\n\nProgramme\n\n \n\n\n \n\n\n\n\nZero2Heros (Guided Hands-on Sessions)\nZero2Heros are structured\, guided hands-on sessions where participants learn a specific technique or method through practical exercises\, with the support of tutors. These sessions aim to rapidly build skills and confidence in applying new tools and approaches to real-world problems. \n\n\n \n\nChallenges (Group Projects)\nChallenges are collaborative\, problem-based activities where participants work in groups to address a real-world or simulated problem. These sessions encourage teamwork\, creativity\, and critical thinking\, allowing participants to apply learned concepts to solve complex tasks and develop solutions under guidance from experienced mentors. \n\n\n\n\n\n\n\n\nUnderstand Earth System Processes & Interactions\n\n\nExplore the processes\, interactions\, and feedbacks across land\, ocean\, atmosphere\, and biosphere to understand the complexity of the Earth system.\n\n\n\n\n\n\nApply AI & ML to Earth System Models\n\n\nDiscover and experiment with AI and ML methods to improve Earth system understanding and modelling\, from data-driven approaches to emerging techniques.\n\n\n\n\n\n\nUnderstand and Explain Models\n\n\nLearn how to make AI models more transparent\, physics-informed\, and causally grounded\, while considering uncertainty\, limitations\, and ethical principles for the responsible use of AI in Earth system science.\n\n\n\n\n\n\nCollaborate and Exchange Ideas\n\n\nConnect with experts in AI and Earth system science\, exchange perspectives with researchers from different backgrounds\, and develop new ideas through hands-on challenges and open discussions.\n\n\n\n\n\n\n\n \n\n Application\n\nRegistration\n\n\nRegistration is open until 15. November 2026\, 23:00 CET. To register use our online form. Participant number is limited to 100.\nNotifications of acceptance will be sent no later than by 14. December 2026. \n\n\n \n\nFor registration you need the following: \n\n\n\n\n\n CV (PDF format\, max 2 pages)\n\n\n Motivation statement (1200 characters)\n\n\n Impact statement (1200 characters)\n\n\n\n\n\n \n\n Logistics\n\nEvent Details\n\n\n\n • When: 1.- 5. March 2027\n\n • Location: Friedrich Schiller University Jena - Rosensäle (map)\n\n • Format: in-person (hands-on)\n\n • Working Language: English\n\n • Participant Fees: 400 €\n \n\n\n\n\n\n\n \nJena City View & Friedrich Schiller University\n\n\n\n\n\n\n \n\n Team\n\nOrganising Committee\n\n\n\n\n\n\nNuno Carvalhais\n\nMax Planck Institute for Biogeochemistry\n\n\n ELLIS Unit Jena │ AI4PEX │ ELIAS │ MeDiTwin\n\n\n\n\n\nJoachim Denzler\n\nFriedrich Schiller University Jena\n\n\n ELLIS Unit Jena\n\n\n\n\n\nNicole Börner\n\nMax Planck Institute for Biogeochemistry\n\n\n AI4PEX │ ELIAS\n\n\n\n\n\nConrad Phillip\n\nELLIS Unit Jena\n\n\n ELLIS Unit Jena\n\n\n\n\n\nIlektra Karasante\n\nRemote Sensing Lab\, National Technical University of Athens\n\n\n MeDiTwin\n\n\n\n\n\nIoannis Papoutsis\n\nRemote Sensing Lab\, National Technical University of Athens\n\n\n MeDiTwin\n\n\n\n\n\nGeorgina Spyres\n\nRemote Sensing Lab\, National Technical University of Athens\n\n\n MeDiTwin\n\n\n\n\n\nDilsad Kurdak\n\nELLIS Unit Jena\n\n\n ELLIS Unit Jena\n\n\n\n\n\nAygun Garayeva\n\nFondazione Bruno Kessler\n\n\n ELIAS\n\n\n\n\n\nCristina Radin\n\nMax Planck Institute for Marine Microbiology\n\n\n AI4PEX\n\n\n\n\n\nKazem Ardaneh\n\nIPSL-Institut Pierre-Simon Laplace\, CNRS\, France\n\n\n AI4PEX\n\n\n\n\n\n\n\n\n \n\n\n\n\nKey Information\n\n\n\n Dates\n 1.- 5. March 2027\n\n\n\n\n Location\n FSU Jena - Rosensäle\n\n\n\n\n Format\n In-person (hands-on)\n\n\n\n\n Language\n English\n\n\n\n\n Capacity\n Max 100 participants\n\n\n\n\n\n\n\n\nRegistration\n\n\n\n\n\n Participant Fees\n 400 €\n\n\n\nDeadline: 15. November 2026\, 23:00 CET\n\n\n\n Apply Now\n Learn More (Event Website)\n\n\n\n\n\n\n\n\n \n\n\n\n\n Join Us\n\nRegister for ELLIS Winter School 2027\n\n\nRegistration is open until 15. November 2026\, 23:00 CET. Participant number is limited to 100. Notifications of acceptance will be sent no later than by 14. December 2026. \n\n\n\n\n Apply Here →\n Event Website URL:https://elias-ai.eu/event/ellis-winter-school-2027-ai-ml-in-earth-system-science/ LOCATION:Friedrich-Schiller-University Jena (Germany).\, Fürstengraben 27\, Jena\, 07743\, Germany CATEGORIES:Winter School ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2026/10/ELLIS-Winter-School-2027-AI-ML-in-Earth-System-Science.png END:VEVENT END:VCALENDAR