
MaDICS est un Groupement de Recherche (GDR) du CNRS créé en 2015. Il propose un écosystème pour promouvoir et animer des activités de recherche interdisciplinaires en Sciences des Données. Il est un forum d’échanges et d’accompagnement pour les acteurs scientifiques et non-scientifiques (industriels, médiatiques, culturels,…) confrontés aux problèmes du Big Data et des Sciences des données.
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Les activités de MaDICS sont structurées à travers des Actions et Ateliers. Les Actions rassemblent les acteurs d’une thématique précise pendant une durée limitée (entre deux et quatre ans). La création d’une Action est précédée par un ou plusieurs Ateliers qui permettent de consolider les thématiques et les objectifs de l’action à venir.
Le site de MaDICS propose plusieurs outils de support et de communication ouverts à la communauté concernée par les Sciences des Données:
- Manifestations MaDICS : Le GDR MaDICS labellise des Manifestations comme des conférences, workshops ou écoles d’été. Toute demande de labellisation est évaluée par le Comité de Direction du GDR. Une labellisation rend possible un soutien financier pour les jeunes chercheuses et chercheurs. Une labellisation peut aussi être accompagnée d’une demande de soutien financier pour des missions d’intervenants ou de participants à la manifestation.
Pour en savoir plus… - Réseaux MaDICS : pour mieux cibler les activités d’animation de la recherche liées à la formation et à l’innovation, le GDR MaDICS a mis en place un Réseau Formation destiné à divers publics (jeunes chercheurs, formation continue,…), un Réseau Innovation pour faciliter et intensifier la diffusion des recherches en Big Data, Sciences des Données aux acteurs industriels et un Club de Partenaires qui soutiennent et participent aux activités du GDR.
Pour en savoir plus… - Espace des Doctorants : Les doctorants et les jeunes chercheurs représentent un moteur essentiel de la recherche et le GDR propose des aides à la mobilité et pour la participation à des manifestations MaDICS.
Pour en savoir plus… - Outils de communication : Le site MaDICS permet de diffuser des informations diverses (évènements, offres d’emplois, proposition de thèses, …) liées aux thématiques de recherche du GDR. Ces informations sont envoyées à tous les abonnés de la liste de diffusion MaDICS et publiés dans un Calendrier public (évènements) et une page d’offres d’emplois.
Adhésion au GDR MaDICS : L’adhésion au GDR MaDICS est gratuite pour les membres des laboratoires ou des établissements de recherche publics. Les autres personnes peuvent adhérer au nom de l’entreprise ou à titre individuel en payant une cotisation annuelle.
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Manifestations à venir
Journées Ecoles Conférences et Séminaires
Actions, Ateliers et Groupes de Travail :
CODA DAE DatAstro DSChem EXMIA GINO GRASP RECAST SaD-2HN SIMDAC SimpleText TIDS
Date : 2027-04-06 => 2027-09-04
Lieu : Lille, France
EDBT 2027 : 30th International Conference on Extending Database Technology
Lille, France, 6th-9th April, 2027
CALL FOR PAPERS
The annual International Conference on Extending Database Technology (EDBT) is a leading international forum for researchers, developers, and users to present and discuss cutting-edge ideas, and to exchange techniques, tools, and experiences related to data management. The conference invites submissions of original research contributions related to all aspects of data management.
The 30th edition is planned to take place in Lille, France, from April 6th to 9th 2027.
Full information on the conference and submission guidelines is available here: https://edbticdt2027.github.io
* Topics of interest
– Data Infrastructure & Systems Architecture (Cloud data management, High-availability systems, Data management on modern hardware, Distributed and parallel data management, Storage, indexing, and physical database design, Middleware and workflow management, Sustainable and energy-efficient data management)
– Data Processing & Query Management (Query processing and optimization techniques, Concurrency control, recovery, and transaction management, Complex event processing and data streams, Benchmarking and performance evaluation)
-Data Models, Integration & Quality (Data models and semantics, Data integration, heterogeneous data management, Schema mapping, matching, and integration, Data quality, data profiling, data preparation, and data cleaning, Data lakes and data discovery, Metadata management and standards, Query languages, Provenance, Uncertain, probabilistic, and approximate data)
– Data management and AI (Machine learning methods for data and database tuning, Data-intensive and data-driven systems for ML/AI, Tabular foundation models and LLMs, Natural language processing for databases, Multi-modal data, Data management for ML/AI models)
– Specialized Data Types & Domains (Data lakes, Graph data, Spatial and temporal data, Sensor, IoT, and mobile data, Text data, extraction, and information retrieval, Unstructured data and multimedia data, Scientific and statistical data)
– Analytics, Intelligence & Discovery (Data mining and knowledge discovery, Data warehousing, large-scale analytics, and ETL tools, Process mining, Knowledge graphs and knowledge management, Semantic web and social networks)
– Governance, Ethics & Human Interaction (Privacy, security, and access control, Responsible data management and ethics, Data economy, data markets, data sovereignty, Crowdsourced and collaborative data management, Human-data interaction, Data visualization, exploration, and user interfaces, Usability, automaticity, interpretability, and explainability of data systems)
* Paper types
New: EDBT limits submissions to three papers per author and submission cycle, for up to nine papers per year.
The conference invites the submission of regular Research papers (long or short), Experiment & Analysis papers, and Vision papers. All papers are reviewed by the EDBT program committee
– Research papers present original contributions related to all aspects of data management. The submissions can be long (12p) or short (6p). Titles of short paper submissions must start with the phrase “[Short Paper]”.
– Experiments & Analysis (E&A) submissions focus on a comprehensive and detailed performance evaluation, on methodology, and on an assessment of the strengths and weaknesses of ideas published in previous work. The scientific contribution of an E&A paper lies in providing new insights into the strengths and weaknesses of existing methods rather than in providing new methods. Papers proposing new solutions should be submitted to the regular research track. Titles of E&A paper submissions must start with the phrase “[Experiments & Analysis]”. .
– Vision submissions describe emerging areas of research or new applications of data management technology. Papers in this track are not required to present research results. Rather, they may articulate a vision for future research in an important new area, identify challenging technical problems to be addressed, and explain potential technical or social impact. Titles of Vision paper submissions must start with the phrase “[Vision Paper]”. They are limited to 6 pages.
* Inclusion and Diversity in Writing and Presentation
Authors are strongly encouraged to be inclusive in the writing and presentation of their work. Please visit the webpage Inclusion and Diversity in Writing and Presentations for details.
* Submission cycles and dates
EDBT 2027 will have three annual research paper submission rounds. Each author is limited to three (3) submissions per round. Each round includes an opportunity to submit a revision if the paper receives a ‘revise’ decision upon the first review phase. The final decision for papers that receive a ‘revise’ will be reached after a second phase of reviews within the corresponding submission round. All times are 5pm PST.
Papers accepted during all three submission rounds will be presented at EDBT 2027.
– EDBT Research track 1st cycle
Paper submission: 4-Feb-2026
Author feedback: 19-Mar-2026
Notification Acc/Rej/Rev: 4-Apr-2026
Revised paper submission: 4-May-2026
Notification Acc/Rej: 27-May-2026
Camera-Ready copy: 10-Jun-2026
– EDBT Research track 2nd cycle
Paper submission: 10-Jun-2026
Author feedback: 23-Jul-2026
Notification Acc/Rej/Rev: 8-Aug-2026
Revised paper submission: 7-Sep-2026
Notification Acc/Rej: 30-Sep-2026
Camera-Ready copy: 14-Oct-2026
– EDBT Research track 3rd cycle
Paper submission: 7-Oct-2026
Author feedback: 19-Nov-2026
Notification Acc/Rej/Rev: 5-Dec-2026
Revised paper submission: 4-Jan-2027
Notification Acc/Rej: 27-Jan-2027
* Camera-Ready copy: 10-Feb-2027
Full information on the conference and submission guidelines is available here: https://edbticdt2027.github.io
Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
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Date : 2027-05-03
Lieu : Reykjavik, Iceland
Dear colleagues,
(Apologies for cross-posting)
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CALL FOR PAPERS – TrustTFM 2027 @ IEEE SaTML 2027
The 1st International Workshop on Trustworthiness of Tabular Foundation Models, in conjunction with The 5th IEEE Conference on Secure and Trustworthy Machine Learning (IEEE SaTML 2027)
Reykjavik, Iceland – May 3, 2027
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Submission deadline extended: December 15, 2026 (23:59 Anywhere on Earth)
Workshop website: https://karimtito.github.io/trusttfm-2027/index.html
Submission: https://cmt3.research.microsoft.com/TrustTFM2027
ABOUT TrustTFM 2027
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Foundation Models have been used successfully in vision and language tasks, yet a large number of real-world applications in finance, healthcare, or industry instead rely on large scale tabular data, which models have largely remained contained to classical machine learning. The emergence of in-context learners applied to tabular data, more precisely Tabular Foundation Models (TFMs), offers a new paradigm that promises to drastically expand the field of applications of tabular data. However, such a paradigm comes with traditional issues of foundation models, such as robustness, privacy, explainability, or fairness. Given the growing interest in TFMs and the potential applications in sensitive domains, we as a community must address the particular issues that come with TFMs.
TrustTFM aims to bring together both the TFMs and structured-data research communities, industrial experts applying TFMs, and the security ML research community to discuss, plan and address the issues in current and future TFMs and in their application. TrustTFM promotes cross-disciplinary discussions and intends to foster and structure a new community along the lines of security related topics in TFMs and their applications.
This half-day event at IEEE SaTML will feature keynotes, spotlight talks, and interactive discussions designed to identify missing benchmarks, threat models, and promising future research directions.
TOPICS OF INTEREST
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Topics include, but are not limited to:
Robustness and reliability
adversarial attacks against TFMs (e.g. context manipulation, distribution shift),
defenses (e.g. adaptation, fine-tuning, outlier detection),
missing or corrupted data,
calibration,
uncertainty,
reliable adaptation or fine-tuning
Privacy and security
membership inference,
data leakage from inference-time contexts,
data/model extraction and reconstruction attacks,
poisoning,
privacy-preserving inference;
Fairness and responsible prediction
group and individual fairness,
context-induced disparities,
counterfactual fairness,
fairness under distribution shift;
Interpretability and explainability
feature attribution and post-hoc explanations,
robustness and stability of explanations,
analysis of representations and attention,
invariance properties,
auditing,
understanding the roles of the pretrained prior and inference-time context,
identifying the influence of specific support examples;
Evaluation and guarantees
trustworthy benchmarks,
tools and demos in real-world applications,
threat models,
reproducibility,
certification,
verification,
evaluation in high-stakes settings.
SUBMISSION CATEGORIES
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TrustTFM welcomes submissions from both academia and industry. TrustTFM is a non-proceeding workshop: accepted papers will not be published. The authors retain the rights to submit their work or an extension of their work to any future conference/journal. Only an accepted pre-print version of the paper will be added on the workshop website (with the authors’ permission) to foster open research. At least one author from an accepted submission is required to attend the workshop to present the paper.
Technical paper (up to 6 pages): TrustTFM accepts a large variety of submissions: applied or theoretical methods, empirical studies, industrial case studies, benchmarks/datasets, tools, etc. Papers should detail the trustworthiness problem tackled and the method to address it. Experimental results are not mandatory, but preliminary results are encouraged.
Papers should be formatted according to the IEEE proceeding style (two-column). An additional 1-2 pages of references for each submission is allowed. Unlimited appendix if needed. The page limit is strict.
IMPORTANT DATES
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Paper submission (extended): December 15, 2026
Author notification (extended): January 18, 2027
Workshop date: May 3, 2027
All deadlines are 23:59 Anywhere on Earth (AoE).
ORGANIZING COMMITTEE
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Maxime Cordy – SnT, University of Luxembourg
Karim Tit – SnT, University of Luxembourg
Florian Tambon – SnT, University of Luxembourg
Tânia Carvalho – SnT, University of Luxembourg
Joël Ky – SnT, University of Luxembourg
Mohammed Djilani – SnT, University of Luxembourg
VENUE
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Reykjavik, Iceland
May 3, 2027
CONTACT
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For questions about submissions, please contact:
Karim Tit: karim.tit@uni.lu
We look forward to receiving your submissions and to welcoming you to TrustTFM 2027 in Reykjavik, Iceland
Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
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