[Special Issue - FGCS] Call for paper

[Mirko Polato]

Powering Data-driven Innovation: Responsible, Sustainable, Scalable, and Trustworthy Artificial Intelligence for the Future

Motivation and Scope
As the 4th digital revolution has not entered into full force yet, we are already moving into the 5th revolution, driven by Artificial Intelligence (AI), with the aim of promoting new, efficient, and resilient digital systems. At the heart of this shift are vast amounts of data and enabling technologies that require high-performance computing (HPC) to extract insights in a sustainable way.

However, challenges remain. Data processes must align with legal and ethical standards, such as the EU’s Digital Services and Data Governance Acts. To navigate this complex landscape, we need data science practices that are not only scalable, responsible, and sustainable, but that also drive AI systems toward greater efficiency than traditional approaches, positioning them as enablers of sustainability rather than contributors to the problem. Together, these advances lay the foundation for a powerful yet ethical and sustainable digital future.

This special issue aims to explore the intersection of data science and HPC within the framework of responsible and trustworthy AI, seeking contributions that address the challenges and opportunities in developing data-driven, human-centric, and energy-efficient AI solutions at scale.

The topics of this special issue include (but are not limited to):

• Scalable data science methodologies for large, complex, and distributed datasets;
• Innovations in federated and privacy-preserving data analysis;
• Integration of HPC with modern data science pipelines;
• Tools, frameworks, and methodologies for responsible, trustworthy, and explainable data-driven modeling and pipelines;
• Real-world applications demonstrating the impact of scalable and distributed data science;
• Governance, reproducibility, and ethical considerations in decentralized data environments;
• Novel case studies of data-driven AI and HPC.

Guest Editors
Alessia Antelmi, University of Turin, Italy, alessia...@unito.it
Claudio Ardagna, University of Milan, Italy, claudio...@unimi.it
Nicola Bena, University of Milan, Italy, nicol...@unimi.it
Massimo Cafaro, University of Salento, Italy, massimo...@unisalento.it
Roberto Esposito, University of Turin, Italy, roberto....@unito.it
Mirko Polato, University of Turin, Italy, mirko....@unito.it

Important Dates
Submission portal opens: May 1, 2026
Deadline for paper submission: Oct 31, 2026
Latest acceptance deadline for all papers: Feb 28, 2027

Manuscript Submission Instructions
The FGCS’s submission system (https://www.editorialmanager.com/FGCS/default.aspx) will be open for submissions to our Special Issue from May 1, 2026. When submitting your manuscript, please select the article type VSI: Powering Data-driven Innovation.

All submissions deemed suitable by the editors to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production to be published in the special issue.