From 28 September to 2 October 2026, the University of Naples “Parthenope” will host the 22nd IEEE International Conference on eScience in Naples.
IEEE eScience 2026 will bring together researchers, software developers, infrastructure specialists, scientific practitioners, and users of advanced computing technologies from around the world. The conference promotes innovation in collaborative, computationally intensive, and data-intensive research, with a strong emphasis on practical solutions to real scientific challenges.
Computer Science Enabling Scientific Discovery
Modern research increasingly depends on the ability to manage complex datasets, execute large-scale simulations, automate scientific processes, and connect computing resources distributed across different infrastructures.
In this context, Computer Science is not merely a supporting discipline. It provides the algorithms, software architectures, data-management systems, computational platforms, and reproducibility mechanisms that make contemporary scientific discovery possible.
IEEE eScience 2026 interprets eScience broadly, covering the complete research lifecycle:
- formulating scientific questions;
- collecting and managing research data;
- conducting large-scale simulations;
- applying advanced analytics and artificial intelligence;
- coordinating distributed scientific workflows;
- sharing data, software, models, and results;
- supporting reproducibility and reuse;
- translating computational advances into scientific and societal impact.
The conference welcomes contributions from the physical and biological sciences, engineering, environmental research, medicine, the social sciences, the arts, and the humanities.
From HPC and Cloud Computing to Artificial Intelligence
The technical scope of IEEE eScience 2026 reflects the interdisciplinary character of contemporary Computer Science.
Topics include:
- artificial intelligence and machine learning for science;
- generative AI and large language models;
- high-performance and supercomputing infrastructures;
- cloud, edge, and Internet of Things environments;
- distributed and continuum computing;
- scientific workflows and automation;
- research software and programming models;
- big-data platforms and scientific data ecosystems;
- FAIR data, software, workflows, and models;
- reproducible and replicable research;
- real-time processing for scientific instruments;
- storage, input/output, and data-management systems;
- cybersecurity, resilience, and fault tolerance;
- science gateways, repositories, and research portals.
Particular attention is given to research in which advances in computing infrastructure and advances in scientific applications reinforce one another.
A Rich International Programme
The conference programme combines keynote talks, peer-reviewed technical sessions, workshops, tutorials, posters, demonstrations, and opportunities for interdisciplinary discussion.
The opening days will include several specialised workshops and practical tutorials addressing emerging topics such as:
- agentic AI for large-scale science;
- atmospheric modelling and air quality;
- graph data science and knowledge analysis;
- research software supply-chain security;
- intelligent scientific workflows;
- modelling and simulation at the convergence of HPC and AI;
- reproducible provenance for scientific processes;
- portable notebook-based workflows;
- accelerated data science;
- environmental science supported by AI and HPC.
The programme demonstrates how application-driven research can stimulate innovation in algorithms, software, distributed systems, scientific data management, and computational infrastructure.
Distinguished Keynote Contributions
IEEE eScience 2026 will feature invited contributions from internationally recognised researchers examining the future of data-intensive and computational science.
Among the announced speakers is Maria Fazio of the University of Messina, whose keynote will explore data science and analytics for the next generation of distributed eScience. Her contribution considers how knowledge graphs, artificial intelligence, and autonomous reasoning can help scientists interpret interconnected research data distributed across edge, cloud, and HPC environments.
The programme also includes contributions addressing reproducible science in an era in which artificial intelligence increasingly participates in software development and scientific analysis.
Hosted at Villa Doria d’Angri
The conference will take place at Villa Doria d’Angri, a nineteenth-century neoclassical building belonging to the University of Naples “Parthenope”.
Located on the Posillipo hillside and overlooking the Gulf of Naples, the venue offers an exceptional setting for scientific exchange, international collaboration, and engagement with the research community.
Hosting IEEE eScience 2026 represents an important recognition of the University’s contribution to Computer Science, scientific computing, environmental modelling, artificial intelligence, distributed systems, and interdisciplinary research.
Co-Located with the Global Research Platform Workshop
IEEE eScience 2026 will be co-located with the 7th Global Research Platform Workshop.
The two communities share interests in high-performance networking, distributed research infrastructures, large-scale data movement, advanced computing platforms, and international scientific collaboration. Participants may register for both events, creating further opportunities for interaction between scientific users and the developers of the infrastructures that support them.
Poster Submissions Are Still Open
Researchers and students may submit short poster papers presenting early-stage results, innovative concepts, prototypes, and emerging research activities.
Poster papers may be up to two pages in IEEE format and will undergo single-blind peer review. Accepted contributions will be presented during the poster reception and published in the conference proceedings through the IEEE Digital Library.
The principal upcoming dates are:
- Poster submission deadline: 27 July 2026
- Poster acceptance notification: 3 August 2026
- Camera-ready deadline: 7 August 2026
- Early-bird registration deadline: 7 August 2026
- Conference: 28 September–2 October 2026
Prospective authors should consult the official conference website before submitting, as instructions and programme details may be updated.
An Exceptional Opportunity for Students and Researchers
For Computer Science students, doctoral candidates, researchers, and professionals, IEEE eScience 2026 offers an opportunity to encounter advanced research at the intersection of computing and scientific applications.
Participants will be able to explore how Computer Science contributes to areas such as:
- computational environmental science;
- climate and atmospheric modelling;
- bioinformatics and life sciences;
- artificial intelligence for scientific discovery;
- applied mathematics and numerical simulation;
- high-performance computing;
- cloud and distributed infrastructures;
- scientific software engineering;
- reproducible and FAIR research;
- data-intensive interdisciplinary collaboration.
The conference will also provide valuable opportunities to present research, receive feedback, establish international collaborations, and engage with specialists from academia, research infrastructures, public institutions, and industry.
Naples at the Centre of International eScience
By hosting the 22nd edition of the IEEE International Conference on eScience, Naples becomes a meeting point for communities working to transform how scientific research is designed, conducted, shared, and reused.
The event reflects a central principle of the Computer Science programmes at the University of Naples “Parthenope”: advanced computing achieves its greatest value when it is combined with demanding applications, interdisciplinary knowledge, and real-world scientific challenges.
IEEE eScience 2026 will showcase this connection, demonstrating how algorithms, data, artificial intelligence, and computing infrastructures can contribute to more open, reproducible, collaborative, and impactful science.