Conference Information

eScience 2026: IEEE International Conference On E-Science

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Submission Date:
2026-05-18
Notification Date:
2026-06-29
Conference Date:
2026-09-28
Location:
Naples, Italy
Years:
22
ICORE: B   QUALIS: B5   Viewed: 65298   Tracked: 8   Attend: 3

Conference Partner Index (CP-I)

69.5 / 100
Ranked #337 of 5,650 conferences · Top 6%
Academic recognition (35%)
72
Submission selectivity (20%)
70
Editions held (20%)
84
Community attention (10%)
37
Public record completeness (15%)
65

Inputs used: Listed as ICORE B, QUALIS B5 · Acceptance rate: 37% (mean of 5 editions on file) · Editions on record: 22 · Researchers following it here: 8 · Researchers who opened this page in the past 24 months: 7

Missing from the public record: Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-04

Call For Papers

eScience 2026 (IEEE International Conference On E-Science) is a ICORE B / QUALIS B5 conference held in Naples, Italy on 2026-09-28. The paper submission deadline is 2026-05-18. Acceptance notifications are sent on 2026-06-29.

The 22nd IEEE International eScience Conference (eScience’26) will be held in Naples from September 28 to October 2, 2026. eScience studies, enacts, and improves the ongoing process of innovation in computationally intensive or data-intensive research methods; typically, this is carried out collaboratively, often using distributed computing infrastructure. eScience encompasses all fields of research and addresses all stages of the research lifecycle, from formulation of the research questions, through large-scale simulations and data analytics, scientific discovery, up to long-term sharing, publication, reusing, and reapplying of the results, data, as well as the relevant tools, processes, and knowledge. eScience’26 welcomes paper submissions for its technical program. The conference will be an interdisciplinary forum for researchers, developers, and users of applications and enabling IT technologies. The conference welcomes conceptualization, implementation, and experience contributions that will allow and drive innovation in data- and compute-intensive research. eScience covers all disciplines, from the physical and biological sciences to the social sciences, arts, and humanities. Infrastructure and technologies can span a broad spectrum, including HPC, cloud, IoT, and artificial intelligence and machine learning methods. Submissions may include all aspects of eScience and its associated technologies, applications, algorithms, and tools, with a strong focus on practical solutions and open challenges. Ideal papers involve the interplay between applications and infrastructure technologies, with an emphasis on novelty in one or both. Topics of interest related to eScience also include, but are not limited to: Artificial intelligence, machine learning, data science, generative AI, and large language models are/applicable in science Research computing cyberinfrastructure (e.g., cloud, cluster, HPC, supercomputer) Findable, Accessible, Interoperable, Reusable (FAIR) principles for scientific software, data, workflows, and models Reproducible and replicable eScience Translational research in computer and computational sciences Continuum computing: convergence between cloud computing, edge computing, and/or the Internet of Things (IoT) Education and e-Science Collaborative, reproducible, and replicable eScience Science gateways, data portals, and digital repositories Resource management and scheduling Programming paradigms and models Real-time (time-sensitive) computing (e.g., for scientific instruments) Automation and event-based computing Big data stacks and significant data ecosystems File and storage systems, I/O, and data management Scientific applications, algorithms, tools, and technologies Scientific workflows and distributed computing paradigms (e.g., FaaS) Blockchain technologies in science Fault tolerance, resilience, and security
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 33.8% over 11 years (2005–2015).

YearSubmittedAcceptedAccepted(%)
20151233125.2%
20141013837.6%
2013984141.8%
20121544831.2%
20111105449.1%
20101424431%
20091775128.8%
20082066029.1%
20072066029.1%
20061606037.5%
20051755430.9%

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