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06 août - 06 août 2026

Classement: A (CORE2023)Springer LNCS proceedings; PDF submission; max 14 pages excluding references (including text, figures, appendices); single-blind review (name and affiliation on submission); EasyChair; best paper award EUR 1000 (Springer); invited enhanced versions for Elsevier Information Systems special issue

International Conference on Advanced Information Systems Engineering

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Aperçu

38th CAiSE 2026 (June 8–12, 2026, Verona, Italy): theme Rethinking Information System Engineering in a continuously changing information system world. Full papers (technical, empirical, exploratory) in LNCS format via EasyChair (caise2026). Key dates: mandatory abstract (extended to Nov 21, 2025 AoE), full papers Nov 28, 2025 AoE (firm), notification Feb 12, 2026. Co-located workshops/tutorials; separate workshop deadlines (e.g. paper submission Mar 8, 2026). News notes notifications sent Feb 13, 2026.

Appel à communications

38th CAiSE 2026 (June 8–12, 2026, Verona, Italy): theme Rethinking Information System Engineering in a continuously changing information system world. Full papers (technical, empirical, exploratory) in LNCS format via EasyChair (caise2026). Key dates: mandatory abstract (extended to Nov 21, 2025 AoE), full papers Nov 28, 2025 AoE (firm), notification Feb 12, 2026. Co-located workshops/tutorials; separate workshop deadlines (e.g. paper submission Mar 8, 2026). News notes notifications sent Feb 13, 2026.

Dates importantes

Dates de la conférence

Conference Date

6 août 2026

Précédemment :
  • 8 juin 2026
  • 16 juin 2025 - 20 juin 2025

Soumission

Paper submission

NOUVEAU

14 novembre 2025

Notification

Notification date

NOUVEAU

2 décembre 2026

Inscription

(Call for Doctoral Consortium Papers) Author Registration

14 avril 2025

(Call for Full Papers) Author Registration Deadline

14 avril 2025

Autres dates

(Workshops) Workshops

16 juin 202517 juin 2025

(Doctoral Consortium) Doctoral Consortium

18 juin 202520 juin 2025

Classement source

Source: CORE2023

Classement: A

Domaine de recherche: Data management and data science

Carte

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