
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 : 2026-11-10 => 2026-11-13
Lieu : Ortigia–Syracuse, Italy
1st Workshop on Spatio-Temporal Intelligence for Network Computing and Applications
Co-located with IEEE NCA 2026 (Nov 10-13, 2026, Ortigia–Syracuse, Italy)
Website NCA: https://www.nca-ieee.org/2026/
Website STiNCA: https://gt-gast.irisa.fr/stinca-2026/
Workshop Description
The confluence of modern, complex network infrastructures and the proliferation of distributed sensing and data collection points within networked systems has created a rich yet challenging research landscape. Contemporary networked environments, encompassing massive Internet of Things (IoT) deployments, next-generation 5G and nascent 6G wireless systems, the decentralized architecture of the cloud-edge continuum, and sophisticated cyber-physical systems, are increasingly evolving into intelligent, data-driven systems. These environments are characterized by the constant generation of vast streams of data, which are inherently spatio-temporal, meaning each data point is associated with a specific location and time of origin. In this context, spatio-temporal information becomes a key enabler for understanding, predicting, and optimizing network behaviour, supporting more efficient, adaptive, and autonomous networked systems.
Efficiently operating and managing these networked environments in the presence of massive spatio-temporal data streams presents a multi-faceted set of challenges. Beyond data processing, the core challenge lies in understanding and optimizing network behaviour, where spatio-temporal data serves as a key signal for decision-making. These challenges span critical areas, including the design and optimization of network architectures, intelligent resource management, distributed processing strategies, and the integration of advanced machine learning techniques under strict communication, latency, reliability, and deployment constraints. In this context, spatio-temporal data and learning methods become key enablers for intelligent network management, supporting tasks such as traffic prediction, anomaly detection, adaptive routing, resource allocation, and orchestration across distributed edge and cloud infrastructures.
The STiNCA 2026 workshop is established as a premier, dedicated forum specifically designed to bring together leading researchers, innovative practitioners, and industry experts. The primary objective is to facilitate the presentation and intensive discussion of novel methods, innovative systems, and practical applications that sit precisely at this critical intersection of spatio-temporal data and advanced networking. The workshop further emphasizes the role of spatio-temporal intelligence in the design of adaptive, self-optimizing, and scalable networked systems, aligning closely with core challenges in network computing and applications.
Topics of Interest
Submissions are welcome on (but not limited to) the following topics:
– Machine Learning on dynamics graphs for Network intelligence (Foundation models, GNN, Topology Modelling, forecasting, …)
– Edge AI and real-time analytics for geo-distributed IoT data
– Privacy-preserving analytics and location privacy in spatio-temporal systems
– SDN/NFV orchestration of spatio-temporal pipelines
– Network slicing and QoS for location-aware applications
– Spatio-temporal resource management in 5G/6G
– Attack detection using vehicle trajectory patterns and mobility traces
– Anomaly detection using spatio-temporal graph learning in mobile traffic and vehicle networks
– Secure cooperative perception in autonomous driving systems
Important Dates
Full paper submission: July 24, 2026
Notification: September 11, 2026
Camera-ready: October 26, 2026
Submission Instructions
Authors are invited to submit original research works (not published or under review elsewhere). Papers should be limited to 6 pages, with the possibility of one additional page at extra cost.
Submissions must follow the IEEE conference proceedings format. Papers must be submitted electronically in PDF format via EDAS (the system is being finalized). At least one author of each accepted paper must register for NCA 2026 and present the work at the workshop.
Accepted workshop papers will be submitted for inclusion in the IEEE Xplore Digital Library, as part of the NCA 2026 proceedings, subject to IEEE’s publication requirements.
Review Process
Submissions will be reviewed under a single-blind peer review process. Each submitted paper will receive at least 3 peer reviews, evaluated on originality, technical soundness, significance of contributions, relevance to the workshop topics, and clarity of presentation.
Workshop Organizers
Assaad Zeghina, LATMOS (UVSQ / Sorbonne University) / INRIA (Paris), France
Adja Elloh, LRE, EPITA, France
Aurélie Leborgne, ICube, University of Strasbourg (UNISTRA), France
Badis Hammi, Institut Polytechnique de Paris, Télécom SudParis, France
Clément Iphar, CRC / Mines Paris – PSL (Sophia Antipolis), France
Juba Agoun, ERIC Research Unit, University of Lyon 2, France
Loïc Salmon, ISEA, University of New Caledonia, New Caledonia.
Nazha Selmaoui-Folcher, ISEA, University of New Caledonia, New Caledonia.
Nida Meddouri, LRE, EPITA, France.
Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
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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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