Co-located with the 2023 IEEE International Conference on Big Data (IEEE BigData 2023)
The workshop has moved to a FULLY ONLINE MODE
All the details about the workshop programme schedule and the instructions for presenting authors are provided below
Smart cities critical infrastructures are nowadays one of the core applications areas for digital twins (hence, the definition of digital twins of critical infrastructures, DTCCIs), which are virtual replicas that allow to simulate and analyse the behaviour under different conditions of physical assets as pivotal as transportation, energy, or water systems, thus supporting their effective management. DTCCIs are especially helpful in the decision-making process as they enable operators to identify potential issues and optimise system performances without disrupting the services provided to the public. In such a scenario, the role of data is pivotal as the accuracy and usefulness of DTCCIs strongly depend on data availability and data quality in order to achieve a true digital resilience of critical infrastructures.
Therefore, the promising integration with dataspaces, intended as virtual spaces for managing and aggregating heterogeneous real-time and historical data sources, can further enhance effectiveness and applicability of DTCCIs. Several current initiatives aimed at proposing dedicated architectures (as the International Data Spaces, IDS), collaborative data sharing environments (as the European data strategy), and architectural standards (as the GAIA-X initiative) enabling trusted data exchange in accordance with European data protection guidelines, are nowadays paving the way to adopt dataspaces as a fundamental building block of truly data-driven DTCCIs.
The enabling role of dataspaces is rapidly gaining momentum in situations where centralised cloud-based data storage solutions have to be integrated with highly-distributed edge data processing. Furthermore, data sovereignty requirements in dataspaces for DTCCIs constitute another engaging challenge, as it is crucial to ensure that DTCCI data are secured and protected from unauthorised access, misuse, or deletion, particularly when the right of a country or an organisation to keep the ownership and control over its own data is at stake. Moreover, the data generated by a DTCCI usually need to be shared with other stakeholders, such as national and international regulatory authorities or maintenance contracting companies, and data sovereignty must be ensured without hindering data interoperability, sharing, and usage.
Consequently, high-quality dataspaces capable of integrating and managing extremely variegated data sources, allowing data-interoperability among multiple systems and organisations, and supporting data- intensive processing and analytics are needed, with a specific focus on scalability, privacy, and security requirements.
This workshop aims to bring together researchers and practitioners not only from computer science and data science but also from the industry sector and from governmental bodies. The workshop will represent a fruitful opportunity for discussing the latest research developments and the ongoing challenges in the field, as well as for fostering collaborations and networking.
The DS4DTCCI workshop aims to bring together researchers and practitioners not only from computer science and data science but also from the industry sector and from governmental bodies, interested in the design and development of data-driven DTCCIs as well as of dataspaces for DTCCIs..
The workshop will represent a fruitful opportunity for discussing the latest research developments and the ongoing challenges in the field, as well as for fostering collaborations and networking.
Therefore, we encourage submissions from: computer scientists working on data management, analytics, and visualization; data security experts actively involved in protecting DTCCIs; data scientists working on industrial data and Industrial-IoT solutions for critical infrastructures; urban planners actively involved in data-driven urban modelling. Finally, we also welcome participation from industry representatives willing to present peculiar case studies about dataspaces for DTCCIs.
We invite submissions of original research papers, position papers, and case studies on topics related to Dataspaces for DTCCIs, which include, but are not limited to:
Data integration and interoperability for DTCCIs
Data quality assessment and improvement for DTCCIs
Data privacy and security in DTCCIs
Data provenance, lineage, and sovereignty in DTCCIs
Dataspaces supporting big data processing and analytics for DTCCIs
Data models and data pipelines for DTCCIs
Crowd-sourced data and citizen science for DTCCIs
Applications of DTCCIs explicitly using dataspaces
Authors can submit their papers as well as find paper submission guidelines and templates at this LINK
The workshop accepts both long papers (up to 10 pages) and short/position papers (2-4 pages).
Papers must be formatted according to the IEEE 2-column format (IEEE Computer Society Proceedings Manuscript template). Formatting guidelines can be found here.
Full registration of IEEE BigData 2023 is required for at least one of the authors for participating in the workshop.
Registration details and fees are available on the main conference dedicated Web page.
Nov 5, 2023: due date for full workshop papers submission (EXTENDED DEADLINE!)
Nov 15, 2023: notification of paper acceptance to authors
Nov 20, 2023: camera-ready of accepted papers
Dec 15, 2023: workshop (ONLINE)
The workshop has moved to a fully online mode and presenting authors can choose whether presenting online via a Zoom meeting or pre-recording and uploading their presentation to a dedicated server if they cannot attend the online session.
Here below you can find all the details describing these two alternative options.
ONLINE REMOTE PRESENTATION
Presenting authors can attend a dedicated Zoom meeting (from 9:00am to 12:30am CET, December 15th, 2023)
The link to the Zoom meeting, as well as the login instructions will be e-mailed only to the registered authors of the accepted papers
PRE-RECORDED PRESENTATION
Authors who cannot attend the online Zoom session, can pre-record their presentation and upload the resulting file to a dedicated server
The link to the dedicated server, as well as the instructions on how to pre-record and upload the presentation will be e-mailed only to the registered authors of the accepted papers
Workshop Chairs
Antonella Longo, Ph.D., M.Sc., IEEE Member
Associate professor of Database and Information Systems
DataLab, Dept. of Engineering for Innovation, Univ. of Salento, Lecce (Italy)
ORCID: 0000-0002-6902-0160
Marco Zappatore, Ph.D., M.Sc., IEEE Senior Member
Senior Researcher of Database and Information Systems
DataLab, Dept. of Engineering for Innovation, Univ. of Salento, Lecce (Italy)
ORCID: 0000-0002-8277-9390
Program Committee
Anders Logg, Chalmers University of Technology
Vasilis Naserentin, Chalmers University of Technology
Stefano de Panfilis, FIWARE Foundation
Dessislava Petrova-Antonova, Sofia University
Viktoriya Degeler, University of Amsterdam
Angelo Martella, University of Salento
Amro Issam Hamed Attia Ramadan, University of Salento
Fernando López Aguilar, FIWARE Foundation
Alessandro Lazari, F24
Nishu Gupta, University of Fribourg
Antonella Calò, University of Salento
Ali Aghazadeh Ardebili, University of Salento
Cristian Martella, University of Salento