Date : 2025-07-07 => 2025-07-10
Lieu : Ecole Polytechnique

Dear All,

 
We are pleased to invite you to the fifth edition of the Hi! PARIS Summer School on July 7-10, 2025 at Ecole polytechnique!

This year’s edition of the Hi! PARIS Summer School will feature several tutorials on a wide range of topics in the domain of Artificial Intelligence and Data Science from different perspectives. These sessions are designed to appeal to a wide audience, including Master’s and PhD students, postdocs, academics, faculty members, researchers, and industry professionals who are looking to deepen their understanding of AI and Data Science.
 
The program features tutorials on the theory and methods of AI and Data Science, along with keynote presentations by globally recognized academics. Over the course of the four-day event, an industry panel will foster meaningful dialogue between participants and professionals. Additionally, the Hi! PARIS Engineering Team will lead practical sessions offering research tips, further enriching the learning experience.

Certificates of participation will be delivered at the end of the Summer School!

For this 5th edition, Hi! PARIS proposes:

– 4 Keynote Speakers
– 1 Industry Panel with the participation of Hi! PARIS corporate donors
– 6 Tutorials 
– Practical Research Tips Sessions by the Hi! PARIS Engineering Team
– 1 Poster Session and a Poster Award with a cash prize
– 1 Social Event

For more detailed information and to register for this event, visit:  https://www.hi-paris.fr/summer-school-2025/

Already confirmed speakers:

Keynote Speakers:
JEAN-PHILIPPE VERT (Owkin)
LUDOVIC DENOYER (H)
CHARLES-ALBERT LEHALLE (École polytechnique)

Tutorial Speakers:
AYMERIC DIEULEVEUT (École polytechnique)
ANNA KORBA (ENSAE)
ÉMILIE KAUFMANN (CNRS, CRIStAL)
SOLENNE GAUCHER (École polytechnique)

This edition of the Summer School has benefited from a government grant managed by the ANR under France 2030 with the reference “ANR-22-CMAS-0002”.

—
Hi! PARIS Center
Hi! PARIS, Center in Data Science & AI for Science, Business & Society
contact@hi-paris.fr
+33 (0) 1 75 31 92 03
Office: @Telecom Paris, 5A101 + @HEC Paris, S-107 on Tuesdays

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Date : 2025-07-14 => 2025-07-19
Lieu : Brasov, Romania

AI4AGRI Summer School 2025 – EO Big Data for Agriculture
Participation to the AI4AGRI Summer School 2025 is for free and it will be face-to-face (in person). The organization and participation costs, including catering, are paid by the AI4AGRI project, however the AI4AGRI project will not cover for the travelling and other mission-related costs.

In order to apply for the participation to the summer school, please prepare the following documents, which should be sent to prof. Mihai Ivanovici (e-mail: mihai.ivanovici@unitbv.ro) from Transilvania University of Brasov (UNITBV), Romania, by April 30, 2025

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Date : 2025-07-16 => 2025-07-18
Lieu : CITS 2018 will take place in the Institut Universitaire de Technologie de Colmar (IUT), Universitè de Haute Alsace: 34, Grillenbreit Street, 68008 Colmar, France

[We apologize if you receive multiple times this CFP message.] Dear colleague- It is our great pleasure to invite you to attend and submit papers to the 2025 International Conference on Computer, Information and Telecommunication Systems (CITS 2025), July 16-18, 2025, Colmar, France. CITS 2025, technically sponsored by IEEE Communication Society, is an international forum for scientists, engineers, and practitioners to present their latest research results in all areas of Computer, Information, and Telecommunication Systems. The conference will feature tutorials, technical paper presentations and distinguished keynote speeches. The conference will feature 6 tracks: * Computer Systems Track * Information Technology Track * Web Technologies Track * Networking Systems Track * Telecommunications Systems Track * Security Systems Track Further details are in the following link: https://cits.udg.edu/ Papers should be written in English (10-point font, A4 size paper). For your submission you can use the standard IEEE Transactions templates for 
Microsoft Word or LaTeX formats found at: http://www.ieee.org/go/conferencepublishing/templates (Remember: A4 size). Papers must be submitted in Portable Document Format (PDF) format, using the following EDAS link: https://edas.info/N33103. All full paper submissions will be peer reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability. *** All accepted papers will be submitted for inclusion to IEEE Xplore digital library covered by Scopus and EI indexing. Selected extended versions of accepted papers will be published in special issue(s)/Section(s) of Scholarly journals. Important Dates: Invited session, workshop, tutorial proposals: May 5, 2025 Paper submission: May 5, 2025 Author notification: June 16, 2025 Camera-ready paper submission: July 4, 2025  *** Important Notice: Papers are reviewed on the basis that they do not contain plagiarized material and have not been submitted to any other conference 
at the same time (double submission). These matters are taken very seriously and the IEEE will take action against any author who engages in either 
practice We look forward to your participation in IEEE CITS 2025 and seeing you in Colmar, France. ======================================================================================================================================================

Due to numerous requests from potential authors, CITS 2025 will be held as a hybrid conference in the period July 16-18, 2025, Colmar, France. Those
authors who will not be allowed to travel abroad by strict national rules in force at the time of the conference or have other serious reasons accepted 
by the organizers will be given an opportunity to present their accepted work remotely. We will be happy to see all authors manage to attend; we know
that special circumstances are best handled by having flexible options. Please consider to contribute and submit your original research results to 
CITS 2025. 

======================================================================================================================================================

Mohammad S. Obaidat, Pascal Lorenz, Kuei-Fang (Leila) Hsiao, Petros Nicopolitidis and Yu Guo, 
IEEE CITS 2025 Organizers 
2025 International Conference on Computer, Information and Telecommunication Systems 
https://cits.udg.edu/ July 16-18, 2025, Colmar, France

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Date : 2025-07-18 => 2025-07-19
Lieu : Vancouver, Canada

ICML 2025 workshop on global datasets and models for Earth Observation

When: 18/19 July 2025

Where: Vancouver, Canada

Submission website: https://openreview.net/group?id=ICML.cc/2025/Workshop/TerraBytes

Important dates

Papers submission deadline: May 16th, 2025
Papers acceptance notification: June 6, 2025
Workshop: July 18/19, 2025

Earth Observation (EO) presents unique challenges and opportunities that set it apart from other fields of machine learning (ML) and computer vision (CV) (Rolf et al., 2024). EO data is abundant, repeatedly covering a large but limited environment: our planet. The colocation and evolution of these observations is a rich, emergent source of information, of multimodal and multitemporal nature. However, due to both local and global changes, especially climate change, the statistical distribution of EO data is inherently non-stationary (Tarasiou et al., 2023). These properties break some of the usual assumptions of ML, and EO data require special care for data handling and modeling (Mai et al., 2022). In addition, current EO datasets are sampled with spatio-temporal biases. Some areas, e.g., the global South, are strongly under-represented within EO datasets (Cornebise et al., 2022). In optical imagery, cloud cover is undesirable, thus leading to datasets that remove cloudy images at the risk of biasing their geographical coverage (Tiede et al., 2021). Addressing these distributional biases is of primary importance, as they have an impact on the performance and reliability of models for downstream applications in ecology, geosciences, agriculture, urban planning, etc. (Kattenborn et al., 2022).

TerraBytes is an initiative to address these challenges. At the intersection of data curation, data archiving, and representation learning, this workshop will foster a holistic discussion covering major steps in the EO from downlinked satellite data, training paradigms to downstream applications.

Call for submissions

We invite submissions on the following topics:

Large-scale Earth observation datasets and benchmarks:
curation of new large-scale vision datasets for EO,
augmentation techniques for EO data and their impact on learning, data traceability and expansion of existing datasets,
re-use and adoption of existing datasets in new scenarios,
impact of training data quality and size on downstream tasks under domain shifts.
Efficient and continual representation learning for remote sensing:
weakly and self-supervised learning for EO data,
domain adaptation strategies to deal with temporal, geographical or sensor gaps,
continual and online learning, to update models when facing distribution shifts,
active learning and reinforcement learning.
Real-world applications:
early detection, monitoring and assessment of disasters e.g. floods, landslides, wildfires,
large-scale Land Cover and Land Use mapping,
2D and 3D change detection in urban and rural areas,
estimation of biophysical parameters (biomass, biodiversity, soil stress, etc.).

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Date : 2025-07-20 => 2025-07-23
Lieu : Glasgow, Scotland, UK

SCOPE

The 45th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2025) is the premier international forum for researchers and practitioners to present, discuss and exchange cutting edge ideas as well as the latest findings on topics related to all aspects of distributed computing systems. The conference will be held over July 20-23rd, 2025 in Glasgow, Scotland, UK. We invite you to submit original contributions to IEEE ICDCS 2025 (https://icdcs2025.icdcs.org/)

Papers can be submitted to one of the following tracks:

* Cloud Computing
* Distributed Algorithms
* Big Data, Models & Systems
* Distributed Fault Tolerance
* Distributed OS and Middleware
* Edge Computing
* IoT + CPS
* Mobile Computing
* Security, Privacy and Trust
* Blockchains/Databases
* Distributed Systems for AI/ML
* AI/ML for Distributed Systems
* Deployed/Emergent Applications & Infrastructures

PAPER SUBMISSION

The Paper strand provides the opportunity for researchers to present their new state-of-the-art research in Distributed Computing Systems, which makes, or has the potential to make, a significant contribution to the field.
Papers must be original and unpublished and must not be submitted concurrently for publication elsewhere. All paper submissions should follow the IEEE 8.5” x 11” two-column format using 10pt fonts and the IEEE Conference template (downloadable by selecting “Conferences” in the IEEE-Template Selector https://template-selector.ieee.org/).
Each submission can have up to eleven (11) pages (including figures, tables, appendices, and references).
Papers exceeding this page limit or with smaller fonts will be desk-rejected without review.

The paper review process is double-blind. Authors are required to take all reasonable steps to preserve the anonymity of their submission.
The submission must not include author information and must not include citations or discussion of related work that would make the authorship apparent. While authors can upload their paper to institutional or other preprint repositories such as arXiv.org before reviewing is complete, we generally discourage this since it places anonymity at risk.
If authors decide to upload their paper to a preprint site, they must make sure that the title and abstract of their submission to
ICDCS are different from the title and abstract of the preprint version, so that it is not immediately
obvious that the two versions are by the same authors and with the same content.
To encourage reproducibility, we encourage the authors, whenever it is possible, to include in their paper a link to an anonymised GitHub repository with all source code, scripts and data needed for the reproduction of their results.

For each accepted paper, at least one author is required to pay a full author registration and attend the conference in-person to present their work on-site. Any no-show papers will be reported to the publisher and removed from the conference proceedings. For authors with multiple papers accepted by the conference, a separate author registration is required for each paper. The authors should adhere to ethic and professional standards of IEEE. Please refer to IEEE Code of Ethics and IEEE Policy of AI-Generated Text.

Note: A set of highly selected IEEE ICDCS 2025 papers will be considered for publication in the IEEE Transactions on Parallel and Distributed Systems (TPDS). The selected papers will undergo an extension process, transforming them from their initial IEEE ICDCS conference format. These extended versions will then be subject to a review by an editor from IEEE TPDS.

*** Paper Deadline Dates – Time zone: Anywhere on Earth (AoE) ***
*Paper submission website: https://easychair.org/conferences/?conf=icdcs2025
*Paper Abstract Registration: 4 December 2024
*Paper Submission Due: 11 December 2024
*Author Notification: 2 April 2025
*Camera-Ready Submission: 16 April 2025

For inquiries regarding the Call for Papers, email: icdcs2025-FPTracks@easychair.org

*General Chairs
Christos Anagnostopoulos, University of Glasgow, UK
Iadh Ounis, University of Glasgow, UK

*Program Chairs
Songqing Chen, George Mason University, USA
Neeraj Suri, Lancaster University, UK

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Date : 2025-08-11 => 2025-08-14
Lieu : Ghent, Belgium

This workshop aims at bringing together people from industry and academia, including researchers, developers, and practitioners from a variety of fields working on graphs and knowledge graphs, network management, data science, and cybersecurity. The workshop will allow attendees to share and discuss their latest findings from both theoretical and practical perspectives, namely in terms of graph-based security data representation, analysis, processing and visualization. The workshop attendees may benefit from sharing experience on graph-based data analysis regardless of the specific application. Moreover, researchers and practitioners will have an opportunity to familiarize themselves with recent advances in graph analysis, mining and learning, and other approaches that could be used in their work. The workshop aims to highlight the latest research and experience in graph-based approaches in cybersecurity. The workshop also seeks papers describing new datasets with real attack scenarios, graph modeling tools evaluated on existing and proposed datasets, and systematization of knowledge (SoK) papers.

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Date : 2025-08-25 => 2025-08-26
Lieu : Institut Henri Poincaré, Paris

We are organizing a two-day workshop on causal inference, combining theoretical and applied research, as part of the Causalit-AI group from the PEPR IA program.

The event will feature 8 keynote talks and a poster session.

Registration is free but mandatory.

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Date : 2025-09-19
Lieu : Porto, Portugal

MACLEAN: MAChine Learning for EArth ObservatioN

19 September 2025

KEY DATES

Paper submission deadline: June 14, 2025
Paper acceptance notification: July 14, 2025
Paper camera-ready deadline: TBA

CONTEXT

The huge amount of data currently produced by modern Earth Observation (EO) missions has raised up new challenges for the Remote Sensing communities. EO sensors are now able to offer (very) high spatial resolution images with revisit time frequencies never achieved before considering different kind of signals, e.g., multi-(hyper)spectral optical, radar, LiDAR and Digital Surface Models.
In this context, modern machine learning techniques can play a crucial role to deal with such amount of heterogeneous, multi-scale and multi-modal data. Some examples of techniques that are gaining attention in this domain include deep learning, domain adaptation, semi-supervised approach, time series analysis and active learning.
Even though the use of machine learning and the development of ad-hoc techniques are gaining increasing popularity in the EO domain, we can witness that a significant lack of interaction between domain experts and machine learning researchers still exists.
The objective of this workshop is to supply an international forum where machine learning researchers and domain-experts can meet each other, in order to exchange, debate and draw short and long term research objectives around the exploitation and analysis of EO data via Machine Learning techniques. Among the workshop’s objectives, we want to give an overview of the current machine learning researches dealing with EO data, and, on the other hand, we want to stimulate concrete discussions to pave the way to new machine learning frameworks especially tailored to deal with such data.

TOPICS
– Supervised Classification of Multi(Hyper)-spectral data
– Supervised Classification of Satellite Image Time Series data
– Unsupervised Learning of EO Data
– Deep Learning approaches to deal with EO Data
– Machine Learning approaches for the analysis of multi-scale EO Data
– Machine Learning approaches for the analysis of multi-source EO Data
– Semi-supervised classification approaches for EO Data
– Active learning for EO Data
– Transfer Learning and Domain Adaptation for EO Data
– Interpretability and explainability of machine learning methods in the context of EO data analysis
– Bayesian machine learning for EO Data
– Dimensionality Reduction and Feature Selection for EO Data
– Graphicals models for EO Data
– Structured output learning for EO Data
– Multiple instance learning for EO Data
– Multi-task learning for EO Data
– Online learning for EO Data
– Embedding and Latent factor for EO Data
– Foundation Models for Earth Observation
– Multi-Modal approaches for EO Data
– Self-supervised learning for EO Data
– Physics-informed machine learning for EO Data

INVITED SPEAKERS:

– Prof. Dr. Elif Sertel – Istanbul Technical University, Istanbul, TR, https://web.itu.edu.tr/~sertele/
Keynote title : TBA

SUBMISSION
We welcome original contributions, either theoretical or empirical, describing ongoing projects or completed work. Contributions can be of two types: either short position papers (up to 6 pages including references) or full research papers (up to 10 pages including references). Papers must be written in LNCS format, i.e., accordingly to the ECML-PKDD 2024 submission format. Accepted contributions will be made available electronically through the Workshop web page.
Post-proceedings will be also published at the CCIS (Communications in Computer and Information Science) series.

WORKSHOP WEBSITE:

https://sites.google.com/view/maclean25

SUBMISSION WEBSITE:

TBA

PC-CHAIRS

Thomas Corpetti, CNRS, LETG-Rennes COSTEL UMR 6554 CNRS, Rennes, France, thomas.corpetti@cnrs.fr
Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France, roberto.interdonato@cirad.fr
Cassio Fraga Dantas, INRAE, UMR Tetis, Montpellier, France, cassio.fraga-dantas@inrae.fr
Dino Ienco, INRAE, UMR Tetis, Montpellier, France, dino.ienco@inrae.fr
Minh-Tan Pham, Univ. Bretagne-Sud, UMR 6074, IRISA, Vannes, France, minh-tan.pham@irisa.fr

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Date : 2025-09-19
Lieu : Porto, Portugal

MACLEAN: MAChine Learning for EArth ObservatioN

https://sites.google.com/view/maclean25

19 September 2025

KEY DATES

Paper submission deadline: June 14, 2025
Paper acceptance notification: July 14, 2025
Paper camera-ready deadline: TBA

CONTEXT

The huge amount of data currently produced by modern Earth Observation (EO) missions has raised up new challenges for the Remote Sensing communities. EO sensors are now able to offer (very) high spatial resolution images with revisit time frequencies never achieved before considering different kind of signals, e.g., multi-(hyper)spectral optical, radar, LiDAR and Digital Surface Models.
In this context, modern machine learning techniques can play a crucial role to deal with such amount of heterogeneous, multi-scale and multi-modal data. Some examples of techniques that are gaining attention in this domain include deep learning, domain adaptation, semi-supervised approach, time series analysis and active learning.
Even though the use of machine learning and the development of ad-hoc techniques are gaining increasing popularity in the EO domain, we can witness that a significant lack of interaction between domain experts and machine learning researchers still exists.
The objective of this workshop is to supply an international forum where machine learning researchers and domain-experts can meet each other, in order to exchange, debate and draw short and long term research objectives around the exploitation and analysis of EO data via Machine Learning techniques. Among the workshop’s objectives, we want to give an overview of the current machine learning researches dealing with EO data, and, on the other hand, we want to stimulate concrete discussions to pave the way to new machine learning frameworks especially tailored to deal with such data.

TOPICS
– Supervised Classification of Multi(Hyper)-spectral data
– Supervised Classification of Satellite Image Time Series data
– Unsupervised Learning of EO Data
– Deep Learning approaches to deal with EO Data
– Machine Learning approaches for the analysis of multi-scale EO Data
– Machine Learning approaches for the analysis of multi-source EO Data
– Semi-supervised classification approaches for EO Data
– Active learning for EO Data
– Transfer Learning and Domain Adaptation for EO Data
– Interpretability and explainability of machine learning methods in the context of EO data analysis
– Bayesian machine learning for EO Data
– Dimensionality Reduction and Feature Selection for EO Data
– Graphicals models for EO Data
– Structured output learning for EO Data
– Multiple instance learning for EO Data
– Multi-task learning for EO Data
– Online learning for EO Data
– Embedding and Latent factor for EO Data
– Foundation Models for Earth Observation
– Multi-Modal approaches for EO Data
– Self-supervised learning for EO Data
– Physics-informed machine learning for EO Data

INVITED SPEAKERS:

– Prof. Dr. Elif Sertel – Istanbul Technical University, Istanbul, TR, https://web.itu.edu.tr/~sertele/
Keynote title : TBA

SUBMISSION
We welcome original contributions, either theoretical or empirical, describing ongoing projects or completed work. Contributions can be of two types: either short position papers (up to 6 pages including references) or full research papers (up to 10 pages including references). Papers must be written in LNCS format, i.e., accordingly to the ECML-PKDD 2025 submission format. Accepted contributions will be made available electronically through the Workshop web page.
Post-proceedings will be also published at the CCIS (Communications in Computer and Information Science) series.

WORKSHOP WEBSITE:

https://sites.google.com/view/maclean25

SUBMISSION WEBSITE:

https://cmt3.research.microsoft.com/ECMLPKDDWorkshopTrack2025/Submission/Index

PC-CHAIRS

Thomas Corpetti, CNRS, LETG-Rennes COSTEL UMR 6554 CNRS, Rennes, France, thomas.corpetti@cnrs.fr
Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France, roberto.interdonato@cirad.fr
Cassio Fraga Dantas, INRAE, UMR Tetis, Montpellier, France, cassio.fraga-dantas@inrae.fr
Dino Ienco, INRAE, UMR Tetis, Montpellier, France, dino.ienco@inrae.fr
Minh-Tan Pham, Univ. Bretagne-Sud, UMR 6074, IRISA, Vannes, France, minh-tan.pham@irisa.fr

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Date : 2025-09-23 => 2025-09-26
Lieu : Tampere, Finland

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Date : 2025-09-23 => 2025-09-26
Lieu : Tampere, Finland

TPDL 2025 – The 29th International Conference on Theory and Practice of
Digital Libraries
Call for demonstration papers

*23-26 September 2025 – Tampere, Finland *

*Website*: https://tpdl2025.github.io/Calls/demos.html
*Submission deadline*: June 12, 2025 (AoE)
*Overview*

TPDL is an international forum focused on Digital Libraries, Document
Analysis/Recognition, and Information Retrieval and their associated
technical, practical, and social issues. The conference encompasses the
many meanings of the term digital libraries, embracing the whole spectrum
of the GLAM (Gallery, Library, Archive, and Museum) community; information
access and operational information systems with all manner of digital
content; new means of selecting, collecting, organizing, distributing, and
accessing digital content; and theoretical models of information media,
including document genres and electronic publishing.

*Topics*

Topics in 2025 include but are not limited to, theories, models, standards,
tools, and applications on the following themes:

– Publishing Science
– Information Management Science
– Monitoring and Assessment of Science
– Knowledge Creation and Dissemination
– AI and Machine Learning Applications in Digital Libraries
– Digital Humanities and Cultural Heritage
– Human-Computer Interaction in Digital Libraries
– Information Retrieval
– Retrieval Augmented Generation (RAG) in the context of Digital
Libraries
– Recommender Systems in Digital Libraries
– Document Analysis and Recognition

Also see the detailed list of topics of the main conference, here:
https://tpdl2025.github.io/Calls/researchtrack.html

*Important Dates*

All deadlines are 23:59 (11:59 pm) in the AoE (Anywhere on Earth) time zone
on the date specified.

– Demonstration paper submission deadline: June 12, 2025
– Notification of acceptance for demonstration papers: July 13, 2025
– Camera-ready submission: July 27, 2025

*Contribution Types*

Demonstration papers (8 pages + unlimited references) present high-quality,
original research, applications or tools that are of relevance to the TPDL
community. Accepted papers will be published in the conference proceedings.
At least one author of each accepted demonstration must register and attend
the conference. The Demo Track invites researchers to present their
research prototypes and operational systems to the community, receive
expert feedback, share insights, and exchange knowledge on the development
and implementation of innovative systems. Proposals from startups and
industry participants are also welcome.

– Submissions should clearly define the purpose, scope, and audience of
the demo.
– Each paper should include a section describing the exact demonstration
scenarios, which include how the audience will experience the demo, the
artifact=E2=80=99s functionalities, user interface and interaction optio=
ns, etc.
– All submissions should provide a URL to a live online version of their
demo or, alternatively, provide a URL to a video (up to 5 minutes)
showcasing the main features of their demo.
– Demonstrations that make their source code freely available are
especially encouraged.

*Awards*

Springer will sponsor the TPDL 2025 Best Demonstration Paper Award, which
will be announced during the TPDL Banquet.

*Submission Guidelines*

Accepted papers will be published in the conference proceedings. All
submissions must be written in English and use the Springer LNCS
proceedings templates, either for LaTeX or for Word, see Springer LNCS
guidelines:
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu=
idelines

Every paper must be submitted in PDF format using the CMT online submission
system after selecting the TPDL2025 – Demos Track:
https://cmt3.research.microsoft.com/TPDL2025.

Failure to comply with the submission guidelines will lead to direct
rejection without review.

Demonstration submissions are single-blind. You are not expected to take
measures to conceal your identity from reviewers. Authors should note that
changes to the author list after the submission deadline are not allowed
without permission from the PC Chairs.

In addition, the corresponding author of each accepted paper, acting on
behalf of all of the authors of that paper, must complete and sign a
Consent-to-Publish form. The corresponding author signing the copyright
form should match the corresponding author marked on the paper. Once the
paper has been submitted, changes relating to its authorship cannot be made=
.

*Dual Submission Policy*

Papers submitted to TPDL 2025 must be substantially different from those
previously published, accepted for publication, or currently under review
at other venues. Exceptions include:

– Papers presented or to be presented at conferences or workshops
without published proceedings.
– Papers previously available only as technical reports (e.g., in
institutional archives or on preprint platforms like arXiv).

*Demonstration Chairs*

Liana Ermakova, Universit=C3=A9 de Bretagne Occidentale, France
Yannis Tzitzikas, University of Crete and FORTH, Greece

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Date : 2025-10-27 => 2025-10-30
Lieu : Montpellier

La 29è réunion des sciences de la terre (RST) aura lieu du 27 au 30 octobre 2025, au Corum à Montpellier.

rst-montpellier.sciencesconf.org

Dans le thème GÉOPATRIMOINE – COLLECTIONS – DIFFUSION & MÉDIATION SCIENTIFIQUE, une session est proposé à la croisée des géosciences et de l’informatique.

Cette session s’intitule GeoKIF: Formalisation de la connaissance et de l’interprétation en géologie.

Description et objectif : La gestion des données en géosciences est confrontée à des défis scientifiques et techniques liés (i) à leur nature volumineuse, variée, et complexe (aspects spatio-temporel et multidimensionnel), (ii) aux incertitudes (notamment épistémiques), ainsi qu’à (iii) l’évolution des technologies. Cette session abordera principalement les travaux sur le développement d’approches numériques permettant un traitement efficace des données, en prenant en compte (i) leur variété structurelle : graphes, nuage de points, données textuelles structurées ou non, (ii) leur variété en termes de qualité, et (iii) les modèles IA pour analyser ou interpréter ces données ? Cette session se focalisera sur les problématiques de la structuration de la donnée et en particulier en relation avec les connaissances et interprétations qui y sont liées, et sur l’évolution des méthodes de calcul et de représentation des données.

Nous vous invitons à contribuer à cette session soit par la présentation de travaux de recherche soit par la présentation d’avancées technologiques ou services divers mis à la disposition de la profession.
Les instructions pour la soumission se trouvent ici : https://rst-montpellier.sciencesconf.org/resource/page/id/6

Cette session est proposée dans le cadre de l’atelier GeoKIF du GDR CNRS MaDICS (https://www.madics.fr/ateliers/geokif/).

Lien direct

Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
Pour vous désabonner de la liste, suivre ce lien.

Date : 2024-10-04 => 2026-10-04

Chers collègues,

Nous avons le plaisir de vous annoncer le lancement d’une action IA dans le cadre du PPR Océan & Climat (https://www.ocean-climat.fr/). Cette action nationale vise à soutenir le développement de solutions nativement IA pour la modélisation, la prévision et l’observation des océans.

Suivant une démarche inspirée des avancées récentes pour la prévision météorologique court-terme, la première phase (octobre 2024-septembre 2025) visera via un appel à propositions à définir de manière collaborative des “data challenges” dont la mise en oeuvre (e.g., jeux de données, cadre d’évaluation) bénéficiera du soutien du PPR en termes d’ingénierie support. La deuxième phase (septembre 2025-décembre 2027) s’appuiera sur la sélection de 8 à 9 postdoctorats de deux ans pour laquelle un appel sera ouvert début 2025.

Nous organisons deux webinaires les 4/10 et 11/10 (12.00-13.00) pour présenter cette action et répondre à toute question (cf. lien zoom ci-dessous). Nous vous invitons également à rejoindre un espace slack dédié en complétant le formulaire d’inscription ci-dessous. Nous proposons que cet espace slack soit la plateforme principale pour les échanges autour de cette action.

Merci de faire suivre ce mail à toute personne potentiellement intéressée.
N’hésitez pas à me contacter pour tout complément d’information.

Bien cordialement,
Ronan Fablet pour le comité de suivi

Exemples de data challenges:

– WeatherBench 2.0 : https://sites.research.google/weatherbench/
– Ocean Data Challenge – Global SSH mapping: https://2023a-ssh-mapping-ose.readthedocs.io/en/latest/

Dates importantes :
– 4 et 11 Octobre 2024, 12.00-13.00: wébinaires (cf. lien zoom ci-dessous)
– 18 Octobre 2024 : date limite de proposition de “data challenges”
– 19 Octobre – 22 Novembre 2024 : mise en commun et révision des data challenges proposés
– 13 Décembre 2024 : publication des data challenges sélectionnés
– Janvier 2024 : ouverture de l’appel postdocs
– Septembre 2025 : démarrage des postdocs et workshop de lancement des data challenges

Formulaire d’inscription : https://forms.gle/R7QhGe4VwBrXXPWV7
Lien zoom du webinaire du 04/10/2024, 12.00-13.00:
https://cnrs.zoom.us/j/91635362763?pwd=bv146gsjDkT9SQ7lUcxHY1n4bi0jpU.1

Lien zoom du webinaire du 11/10/2024, 12.00-13.00:
https://univ-grenoble-alpes-fr.zoom.us/j/93226799086?pwd=agYwgn1IYRYhwD3x63VXyhCSfRZDns.1

Lien direct

Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
Pour vous désabonner de la liste, suivre ce lien.