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X-WR-CALNAME:EOSC Association
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X-WR-CALDESC:Events for EOSC Association
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DTSTART;VALUE=DATE:20260921
DTEND;VALUE=DATE:20260926
DTSTAMP:20260417T105658
CREATED:20251106T155017Z
LAST-MODIFIED:20260305T133412Z
UID:27017-1789948800-1790380799@eosc.eu
SUMMARY:EGI2026
DESCRIPTION:The EGI2026 Call for Contributions is open! \nEvery year\, the EGI conference brings together scientists\, service providers\, technical experts\, policy makers\, and early-career researchers to present their work\, join workshops and trainings\, participate in project meetings\, and overall to experience the pleasure of meeting each other in person (again). By submitting your proposal for a talk\, poster\, or demonstration\, you get the chance to be part of the programme! \nThis year\, the conference brings us to lovely Ghent\, where it will take over the historic 13th-century ‘Bijloke’ venue for an engaging and full conference programme. \nDeadlines\nCall Open: February 24 2026\nDeadline: April 13 2026\, 23:59 CET \nConfirmation of acceptance: On or before April 30. \nUseful Links: \n\nTopics: https://indico.egi.eu/event/6931/program\nSubmit your Contribution: https://go.egi.eu/EGI2026_CFC\nConference Website: https://go.egi.eu/EGI2026\n\nTopics\nFind below the full list of topics. For mailings and news items\, please select the relevant ones and list to the full topics list https://indico.egi.eu/event/6931/program \n         New advancements in scientific computing\n         Compute continuum\n\nHybrid compute infrastructures and the convergent use of HTC\, HPC\, cloud\, container\, edge\, serverless and quantum technologies. Attention for Exascale-Era Computing\, and synergies with EuroHPC.\n\n         Digital twins\n\nDigital twins for the modeling of complex objects and phenomena; Integration with federated computing resources and AI systems\n\n         Artificial Intelligence\n\nDistributed AI/ML analytics; AI-powered services for science; Agentic AI; AI-Ready Infrastructures; AI-ready data and DataLabs; Integrations with AI-factories; AI for scientific software engineering\n\n         National and thematic perspectives\n\nNew developments\, new operational and user support practices\, challenges and opportunities for national or thematic e-infrastructures\n\n         Green computing\n\nLowering the environmental impact of digital services\, software and data analytics applications. Lifecycle modelling\, Data centre digital twins\, Optimised software environments\n\n         Data innovations\n         Data spaces\n\nSolutions and experiences with data transactions\, governance and business models in highly distributed data ecosystems\, Interoperability and data exchange frameworks in academia and industry\n\n         Data management and integration\n\nPlatforms\, tools\, services\, standards\, metadata solutions\, AI-approaches\, real-time streaming for high performance data access\, transfer\, analytics and visualisation\n\n         Processing of sensitive data\n\nTrusted services and environments\, frameworks\, policies\, legislation alignment\, and standards for the secure exchange\, processing\, and analysis of sensitive data\n\n         Exploitation environments\nIntegrated and scalable online portal environments\, Virtual Research Environments\, Gateways and DataLabs for the sharing and collaborative processing of scientific data\n         Trust and Security\n         Trust and security in federated environments\n\nSolutions and standards for trust and security in distributed and federated environments\n\n         Sensitive data\n\nSecure and FAIR sharing and transfer of sensitive data in federated environments\n\n         Interoperability and standards\n\nNovel approaches for ensuring interoperable security across distributed service ecosystems\n\n         Incident response and recovery\n\nStrategies\, tools\, and best practices for detecting\, responding to\, mitigating\, and recovering from security incidents in federated and distributed infrastructures\n\n         EOSC and Open Science\n         Reproducible open science\n\nFAIR\, open and reproducible science practices for big data that broaden community involvement\n\n         Nodes and Federation\n\nNational and thematic perspectives\, in particular contributions of the EGI community to EOSC Nodes and to the federation of Nodes\nOperational Requirements and Sustainability\nLegal requirements and sustainability approaches around Nodes\, Business models and incentives\n\nExcellence\, innovation\, impact \n\nScientific discoveries\nScientific discoveries and breakthroughs enabled by federated computing\, data management\, and analytics systems\nBusiness models and sustainability\nNovel business models\, funding mechanisms\, and sustainability approaches for long-term big data science infrastructures and services\nInnovation and Impact Management in Science\nGood practices for managing innovations\, fostering technology transfer\, and assessing scientific\, economic\, and societal impact of compute- and data-intensive projects and initiatives\nSovereign infrastructures\nStrategies\, architectures\, and policies to secure European digital sovereignty\, technological autonomy\, strategic resilience\, and independence in research computing and data infrastructures\n\n  \nBecome an EGI2026 Partner!  \nDownload our Partner Brochure to discover our offers:  https://go.egi.eu/EGI2026_Partner
URL:https://eosc.eu/events/egi2026
CATEGORIES:Other events
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