Critical Action Planning over Extreme-Scale Data

Informazioni relative al progetto

CREXDATA

ID dell’accordo di sovvenzione: 101092749

DOI

10.3030/101092749

Progetto chiuso

Data della firma CE 18 Novembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2025

Finanziato da

• Digital, Industry and Space

Costo totale

€ 8 698 104,75

Contributo UE

€ 8 698 104,75

Coordinato da

POLYTECHNEIO KRITIS
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (9)

Initial Use Case Evaluation, Pilots, Demonstrators and Simulation Models and Tools

This deliverable will present the interim evaluation of the CREXDATA use cases, the simulation models and tools developed at CREXDATA, as well as the developed pilots. It also includes the final scenario definitions for the use cases and initial conclusions from evaluation results across use cases.

Ethics Manual

A report that will: 1) explain how all data intended to be used for training and/or validating the CREXDATA practices and models are relevant, high quality, and limited to the purposes at hand; 2) assess whether the AI, ML and CEF models and their use in the context of the use cases have any detrimental impact on humans in terms of social behavior engineering, privacy violation, surveillance and free will; 3) provide adequate information in regard to the prototype's quality following a risk-based approach.

Initial Report on Complex Event Forecasting, Learning and Analytics

This deliverable will present the initial set of developed algorithms for (i) multi-resolution complex event forecasting, (ii) reinforced learning, (iii) federated machine learning, and (iv) data analytics as a service.

Initial Report on System Architecture, Integration and Released Software Stacks

This deliverable will present the initial system architecture, the system integration and the initial version of the released software stacks.

Initial Report on Explainable AI, Visual Analytics and Augmented Reality

This deliverable will present the initial set of developed algorithms for (i) explainable AI, (ii) visual analytics for supporting XAI and for data analytics under uncertainty, and (iii) Augmented Reality.

Data handling, Joint Scheme for Pilot and Demonstrator Research Design, Requirements Analysis and Initial Scenario Definition

This deliverable will present the data handling process in accordance with D1.2, joint scheme for pilot and demonstrator research design across use cases, as well as requirements analysis and initial scenario definitions per use cases. D2.1 sets up structure and procedures for research data acquisition, analysis and evaluation, which will be reflected in the structure of deliverables D2.2/D2.3.

Plan for Dissemination and Exploitation, Project Presentation and Website

This deliverable will detail the plan for the project dissemination, communication and exploitation strategy to be adopted throughout the project lifetime, as well as will initiate a list of related projects, potential adopters and actions that CREXDATAwill use to approach stakeholders. This deliverable also contains a fact sheet providing an overview of the project, following the EU standards, the project presentation and the project website, as key dissemination and exploitationchannels for promoting and communicating the project achievements.

Initial Report on the Dissemination, Exploitation and Business Plan

This deliverable includes the initial report on the dissemination and exploitation activities undertaken throughout the project, as well as the initial version of the business plan that incorporates CREXDATA’s achievements.

Quality Assurance Plan

The quality assurance plan will highlight potential risks and associated contingency plans. This plan will deal with quality assurance regarding the information flow, communication channels and reporting procedures within the consortium and to others; also quality assurance of technical and scientific results and of the project documentation.

Data Management Plan (1)

Data Management Plan

A report that will a) provide an overview of the datasets generated and usedin the context of the project and the use cases thereof, b) outline how data will be generated and/or collected and processed, c) assess on top of the methodology and standards to be introduced, whether and how this data will be shared and/or made open in cases this is possible, always pursuing to adhere to the FAIR principles, and how it will be curated and preserved, in direct alignment with the ethics requirements. The Data Management Plan will evolve during the lifetime of CREXDATA, to present the status of the project's reflections on data management.

Pubblicazioni

Peer reviewed articles (24)

Classifying extratropical cyclones and their impact on Finland's electricity grid: insights from 92 damaging windstorms

Autori: Ilona Láng-Ritter, Terhi Kristiina Laurila, Antti Mäkelä, Hilppa Gregow, Victoria Anne Sinclair
Pubblicato in: Natural Hazards and Earth System Sciences, Numero 25, 2025, ISSN 1684-9981
Editore: Copernicus Publications on behalf of the European Geosciences Union
DOI: 10.5194/NHESS-25-1697-2025

Analysis of SARS-CoV-2 in wastewater for prevalence estimation and investigating clinical diagnostic test biases

Autori: Mattia Mattei, Rosa M. Pintó, Susana Guix, Albert Bosch, Alex Arenas
Pubblicato in: Water Research, Numero 242, 2023, ISSN 0043-1354
Editore: Elsevier Ltd.
DOI: 10.1016/J.WATRES.2023.120223

RATS: A resource allocator for optimizing the execution of tumor simulations over HPC infrastructures

Autori: Errikos Streviniotis, Nikos Giatrakos, Yannis Kotidis, Thaleia Ntiniakou, Miguel Ponce de Leon
Pubblicato in: Information Systems, Numero 132, 2025, ISSN 0306-4379
Editore: Elsevier Ltd.
DOI: 10.1016/J.IS.2025.102538

Assessing the impact of interregional mobility on COVID19 spread in Spain using transfer entropy

Autori: Miguel Ponce-de-Leon, Camila Pontes, Alex Arenas, Alfonso Valencia
Pubblicato in: Scientific Reports, Numero 15, 2025, ISSN 2045-2322
Editore: Nature
DOI: 10.1038/S41598-025-17218-4

The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications

Autori: Stef van den, Elzen; Gennady, Andrienko; Natalia, Andrienko; Brian D, Fisher; Rafael M, Martins; Jaakko, Peltonen; Alexandru C, Telea; Michel, Verleysen; Theresa-Marie, Rhyne
Pubblicato in: IEEE Computer Graphics and Applications, Vol. 43, no.2, p. 78-88 (2023), 2023, ISSN 1558-1756
Editore: IEEE
DOI: 10.1109/MCG.2023.3237286

On the number of stable solutions in the Kuramoto model

Autori: Alex Arenas; Antonio Garijo; Sergio Gómez; Jordi Villadelprat
Pubblicato in: Chaos, 2023, ISSN 1089-7682
Editore: Chaos
DOI: 10.1063/5.0161977

Collection: The Aegean Ro-Boat Race 2023

Autori: Alexandros Troupiotis-Kapeliaris; Nikolaos Sapountzis; Giannis Spiliopoulos; Thomas Kogias; Piyabhum Chaysri; Bernardo AntÓnio Correia Gabriel; Miguel Filipe Santos Silva; Elias Xidias; Konstantinos Blekas; João Tasso de Figueiredo Borges de Sousa; Dimitris Zissis
Pubblicato in: IEEE Data Descriptions ( Volume: 1), 2024, ISSN 2995-4274
Editore: IEEE
DOI: 10.1109/IEEEDATA.2024.3475332

Probabilistic Discrete‐Time Models for Spreading Processes in Complex Networks: A Review

Autori: Clara Granell, Sergio Gómez, Jesús Gómez‐Gardeñes, Alex Arenas
Pubblicato in: Annalen der Physik, Numero 536, 2024, ISSN 0003-3804
Editore: Wiley-VCH GmbH
DOI: 10.1002/ANDP.202400078

SaaMS: The synopses-as-a-microservice paradigm for scalable adaptive streaming analytics across the cloud to edge continuum

Autori: Georgios Panagiotis Kalfakis, Nikos Giatrakos
Pubblicato in: Information Systems, Numero 136, 2025, ISSN 0306-4379
Editore: Elsevier BV
DOI: 10.1016/J.IS.2025.102629

Topic modelling for spatial insights: Uncovering space use from movement data

Autori: Gennady Andrienko, Natalia Andrienko, Dirk Hecker
Pubblicato in: Computers & Graphics, Numero 122, 2024, ISSN 0097-8493
Editore: Elsevier Ltd.
DOI: 10.1016/J.CAG.2024.103989

Information Systems

Autori: Georgios Panagiotis Kalfakis; Nikos Giatrakos
Pubblicato in: Information Systems, 2025, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/J.IS.2025.102629

Dual Control of Coupled Oscillator Networks

Autori: Per Sebastian Skardal; Alex Arenas
Pubblicato in: IEEE Open Journal of Control Systems, Vol 2, Pp 146-154 (2023), 2023, ISSN 2694-085X
Editore: IEEE
DOI: 10.48550/arxiv.2210.01103

Electricity Load Lost in the Largest Windstorms—Is the Fragility-Based Model up to the Task?

Autori: Justinas Jasiūnas; Ilona Láng-Ritter; Tatu Heikkinen; Peter D. Lund
Pubblicato in: Energies, Vol 16, Iss 15, p 5678 (2023), 2023, ISSN 1996-1073
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en16155678

Triadic Approximation Reveals the Role of Interaction Overlap on the Spread of Complex Contagions on Higher-Order Networks

Autori: Giulio Burgio; Sergio Gómez; Alex Arenas
Pubblicato in: Physical Review Letters, 2024, ISSN 1079-7114
Editore: American Physical Society
DOI: 10.48550/arxiv.2306.11441

Joint Analysis of the Epidemic Evolution and Human Mobility During the First Wave of COVID-19 in Spain: Retrospective Study

Autori: Benjamin Steinegger; Clara Granell; Giacomo Rapisardi; Sergio Gómez; Joan Matamalas; David Soriano-Paños; Jesús Gómez-Gardeñes; Alex Arenas
Pubblicato in: JMIR Public Health and Surveillance, Vol 9, p e40514 (2023), 2023, ISSN 2369-2960
Editore: JMIR Public Health and Surveillance
DOI: 10.2196/40514

Case beyond historical severity: Winds, faults, outages, and costs for electric grid

Autori: Jasiūnas, J., Ilona, L.-R., Heikkinen, T., & Lund, P.
Pubblicato in: Applied Energy, Vol. 373, 2024, ISSN 0306-2619
Editore: Elsevier Ltd.
DOI: 10.1016/J.APENERGY.2024.123884

Identifying, exploring, and interpreting time series shapes in multivariate time intervals

Autori: Gota Shirato, Natalia Andrienko, Gennady Andrienko
Pubblicato in: Visual Informatics, 7(1), 77-91, 2023., 2023, ISSN 2468-502X
Editore: Elsevier Ltd.
DOI: 10.1016/J.VISINF.2023.01.001

Re-interpreting rules interpretability

Autori: Linara Adilova; Michael Kamp; Gennady Andrienko; Natalia Andrienko
Pubblicato in: International Journal of Data Science and Analytics, 2022, ISSN 2364-4168
Editore: Springer Nature
DOI: 10.21203/rs.3.rs-1525944/v1

Rebound in epidemic control: how misaligned vaccination timing amplifies infection peaks

Autori: Piergiorgio Castioni; Sergio Gómez; Clara Granell; Alex Arenas
Pubblicato in: npj Complexity 1, Article number 20, 2024, ISSN 2731-8753
Editore: Nature
DOI: 10.1038/S44260-024-00020-0

Evaluating Instruction-Tuned Large Language Models for Automatic Annotation of Multilingual Climate Disaster-Related Social Media Messages

Autori: Jonathan Ayebakuro Orama, Marc Juvillà Garcia, Maite Melero
Pubblicato in: Frontiers in Artificial Intelligence and Applications, Artificial Intelligence Research and Development, 2025, ISSN 1879-8314
Editore: IOS Press
DOI: 10.3233/FAIA250578

PhysiBoSS 2.0: a sustainable integration of stochastic Boolean and agent-based modelling frameworks

Autori: Noel, V., Montagud, A., Ponce de Leon, M., Calzone, L., Alfonso, V., Emmanuel, B., & Gerard, P.
Pubblicato in: npj Systems Biology and Applications volume, 9 (54), 2023, 2023, ISSN 2056-7189
Editore: Nature
DOI: 10.1038/S41540-023-00314-4

Complex Event Recognition with Allen Relations

Autori: Periklis Mantenoglou; Dimitrios Kelesis; Alexander Artikis
Pubblicato in: Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning — Main Track. Pages 502–511, 2023, ISSN 2334-1033
Editore: IJCAI Organization
DOI: 10.5281/ZENODO.8171625

EnvClus*: Extracting Common Pathways for Effective Vessel Trajectory Forecasting

Autori: Zygouras, Nikolas; Troupiotis-Kapeliaris, Alexandros; Zissis, Dimitrios
Pubblicato in: IEEE Access, 2024, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.5281/zenodo.13376844

Impact of wind speed and soil frost on electricity distribution system reliability

Autori: Juha Haakana; Otto Räisänen; Markku Karhunen; Ilona Láng-Ritter; Jukka Lassila
Pubblicato in: Heliyon, Volume 10, Numero 24 e40846, December 30, 2024, 2024, ISSN 2405-8440
Editore: Elsevier Ltd.
DOI: 10.1016/J.HELIYON.2024.E40846

Conference proceedings (21)

Run-Time Adaptation of Complex Event Forecasting

Autori: Manolis Pitsikalis, Elias Alevizos, Nikos Giatrakos, Alexander Artikis
Pubblicato in: Proceedings of the 19th ACM International Conference on Distributed and Event-based Systems, 2025, ISSN 79-8-4007-1332-3
Editore: ACM
DOI: 10.1145/3701717.3730539

Quality Key Figures for Developing Future Scenarios

Autori: Iris Graessler, Deniz Oezcan
Pubblicato in: AHFE International, Human Systems Engineering and Design (IHSED2024) Future Trends and Applications, Numero 158, 2024
Editore: AHFE
DOI: 10.54941/AHFE1005553

Towards Run-Time Adaptation of Complex Event Forecasting

Autori: Manolis Pitsikalis, Elias Alevizos, Nikos Giatrakos and Alexander Artikis
Pubblicato in: 7th International Workshop on Big Mobility Data Analytics (BMDA) co-located with the EDBT/ICDT, 2025, ISSN 1613-0073
Editore: EDBT/ICDT
DOI: 10.5281/ZENODO.15629358

Complex Event Recognition with Symbolic Register Transducers

Autori: Alevizos, Elias; Artikis, Alexander; Paliouras, Georgios
Pubblicato in: Proceedings of the VLDB Endowment, 2024, ISSN 2150-8097
Editore: VLDB
DOI: 10.5281/ZENODO.12643407

Proactive Streaming Analytics at Scale: A Journey from the State-of-the-art to a Production Platform

Autori: Giatrakos, Nikos; Alevizos, Elias; Deligiannakis, Antonios; Kinkenberg, Ralf; Artikis, Alexander
Pubblicato in: ACM CIKM, 2023
Editore: ACM
DOI: 10.1145/3583780.3615293

Temporal Specification Optimisation for the Event Calculus

Autori: Mantenoglou, Periklis; Artikis, Alexander
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, 2025
Editore: Association for the Advancement of Artificial Intelligence
DOI: 10.5281/ZENODO.14412119

Optimizing Resource Allocation for Tumor Simulations over HPC Infrastructures

Autori: Streviniotis, Errikos; Giatrakos, Nikos; Kotidis, Yannis; Ntiniakou, Thaleia; Ponce De Leon, Miguel
Pubblicato in: 10th International Conference on Data Science and Advanced Analytics (DSAA), 2023
Editore: IEEE
DOI: 10.1109/DSAA60987.2023.10302484

Creating Synthetic Datasets for Deep Learning used in Machine Vision

Autori: Iris Gräßler, Michael Hieb
Pubblicato in: Procedia CIRP, Numero 126, 2024, ISSN 2212-8271
Editore: Elsevier BV
DOI: 10.1016/J.PROCIR.2024.08.371

Techniques for interactive visual examination of autonomous vessel performance

Autori: Natalia Andrienko, Gennady Andrienko, Dimitris Zissis, Alexandros Troupiotis-Kapeliaris, and Giannis Spiliopoulos.
Pubblicato in: 7th International Workshop on Big Data Visual Exploration and Analytics, 2024, ISSN 2150-8097
Editore: Proceedings of the VLDB Endowment: Big Data Visual Exploration and Analytics (BigVis 2024)
DOI: 10.5281/ZENODO.17483904

Model-based planning of test cases and test scenarios to support engineering of Cyber-Physical Systems

Autori: Iris Graessler, Marcel Ebel, Jens Pottebaum
Pubblicato in: 2024 IEEE International Symposium on Systems Engineering (ISSE), 2024, ISSN 2687-8828
Editore: IEEE
DOI: 10.1109/ISSE63315.2024.10741135

Performance Analysis of Distributed GPU-Accelerated Task-Based Workflows

Autori: Marcos N. L. Carvalho, Anna Queralt, Oscar Romero, Alkis Simitsis, Cristian Tatu, Rosa M. Badia
Pubblicato in: 27th International Conference on Extending Database Technology (EDBT), 2024, ISSN 2367-2005
Editore: EDBT

Communication-Efficient Distributed Deep Learning via Federated Dynamic Averaging

Autori: Michail Theologitis; Georgios Frangias; Georgios Anestis; Vasilis Samoladas; Antonios Deligiannakis
Pubblicato in: Proceedings of the 28th International Conference on Extending Database Technology (EDBT), 2025, ISBN 9783893180981
Editore: EDBT
DOI: 10.48786/EDBT.2025.33

Dynamic Weather-Resilient Vessel Routing using Big AIS Data

Autori: Alexandros Troupiotis-Kapeliaris, Georgios Grigoropoulos, Marios Vodas, Konstantina Bereta
Pubblicato in: Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025, ISBN 979-8-4007-2086-4
Editore: ACM
DOI: 10.1145/3748636.3764601

Complex Event Recognition with Symbolic Register Transducers

Autori: Alevizos E., Artikis, A., Paliouras, G.
Pubblicato in: Proceedings of the VLDB Endowment, 2024, ISSN 2150-8097
Editore: VLDB
DOI: 10.14778/3681954.3681991

Generating Activity Definitions with Large Language Models

Autori: Andreas Kouvaras, Periklis Mantenoglou, Alexander Artikis
Pubblicato in: Proceedings of the 28th International Conference on Extending Database Technology (EDBT), 2025, ISBN 978-3-89318-099-8
Editore: EDBT
DOI: 10.5281/ZENODO.14881950

NeuroFlinkCEP: Neurosymbolic Complex Event Recognition Optimized across IoT Platforms

Autori: Ourania Ntouni, Dimitrios Banelas, Nikos Giatrakos
Pubblicato in: Proceedings of the VLDB Endowment, Numero 18, 2025, ISSN 2150-8097
Editore: VLDB Endowment
DOI: 10.14778/3750601.3750670

Extending the application of simulation from preparedness to response use cases in weather-induced emergencies

Autori: Jens Pottembaum, Marcel Ebel, Iris Gräßler
Pubblicato in: MCI-WS13: Workshop Mensch-Maschine-Interaktion in sicherheitskritischen Systemen, 2024
Editore: Gesellschaft für Informatik e.V.
DOI: 10.18420/MUC2024-MCI-WS13-209

EU-Projekt CREXDATA: Erkenntnisse und Handlungsempfehlungen zum Einsatz KI-generierter Lageinformationen für die Lagebewertung und Maßnahmenplanung in Extremwetterlagen

Autori: Jens Pottebaum, Iris Gräßler, Marcel Ebel, Deniz Özcan, Niklas Döhner, Sylvia Pratzler-Wanczura, Enes Derin, Oliver Krüger, Ivana Kruijff-Korbayova, Merlin Stampa
Pubblicato in: Tagungsband der 71. Jahresfachtagung der Vereinigung zur Förderung des Deutschen Brandschutzes (vfdb) e.V. 2025, 81-94., 2025, ISBN 978-3-936050-40-0
Editore: VFDB
DOI: 10.5281/ZENODO.16740824

Extremwettersituationen in alpinen Gebieten: Management kritischer Situationen in Echtzeit bei extremen und komplexen Daten

Autori: Pottebaum, Jens; Rechberger, Christina; Hieb, Michael; Gräßler, Iris; Resch, Christian
Pubblicato in: 2023, ISBN 978-3-900397-11-1
Editore: Disaster Competence Network Austria

Transforming Maritime Safety: Data-driven Applications for the Real-Time Detection and Mitigation of Maritime Incidents

Autori: Georgios Grigoropoulos, Alexandros Troupiotis-Kapeliaris, Ilias Chamatidis, Evangelia Filippou, Konstantina Bereta
Pubblicato in: Proceedings of the 28th International Conference on Extending Database Technology (EDBT), 2025, ISSN 2367-2005
Editore: OpenProceedings
DOI: 10.48786/EDBT.2025.91

An Augmented Reality System Architecture for Flood Management

Autori: Stavroulakis, A., Dimelli, D., Roumeliotis, M., & Mania, A.
Pubblicato in: Proceedings of the 10th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM 2024), 2024, ISSN 2184-500X
Editore: SCITEPRESS – Science and Technology Publications, Lda.
DOI: 10.5220/0012778800003696

Other (1)

Modeling Biases in SARS-CoV-2 infections Prediction using Genome Copies Concentration in Wastewater

Autori: Mattia Mattei, Rosa M. Pinto, Susana Guix, Albert Bosch, Alex Arenas
Pubblicato in: 2023
Editore: medRxiv
DOI: 10.1101/2023.03.06.23286832

Thesis and dissertations (1)

Windstorm impacts on the electrical grid : Meteorological and non-meteorological drivers

Autori: Ilona Láng-Ritter
Pubblicato in: Dissertationes Universitatis Helsingiensis ; 222/2025, 2025, ISSN 2954-2898
Editore: University of Helsinki
DOI: 10.5281/ZENODO.16758176