BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Graph Massivizer EU Project - ECPv6.15.20//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Graph Massivizer EU Project X-ORIGINAL-URL:https://graph-massivizer.eu X-WR-CALDESC:Events for Graph Massivizer EU Project REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:UTC BEGIN:STANDARD TZOFFSETFROM:+0000 TZOFFSETTO:+0000 TZNAME:UTC DTSTART:20220101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20241114 DTEND;VALUE=DATE:20241116 DTSTAMP:20260517T100049 CREATED:20240909T140655Z LAST-MODIFIED:20240909T140655Z UID:1095-1731542400-1731715199@graph-massivizer.eu SUMMARY:Graph-Massivizer at Gaia-X Summit 2024 DESCRIPTION:Empowering Global Data Spaces\, Shaping Tomorrow’s Cloud Infrastructure \nYou may find the program here: \n HERE \nGet ready for another exciting event! \nStay tuned for more updates – coming your way soon! URL:https://graph-massivizer.eu/events/graph-massivizer-at-gaia-x-summit-2024/ LOCATION:Helsinki\, Finland CATEGORIES:AI,Big Data,DataScience,Extreme-Scale,Graphs ATTACH;FMTTYPE=image/png:https://graph-massivizer.wp.itec.aau.at/wp-content/uploads/sites/27/2024/09/Screenshot-2024-09-09-alle-16.01.18.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20241002 DTEND;VALUE=DATE:20241005 DTSTAMP:20260517T100049 CREATED:20240909T095515Z LAST-MODIFIED:20240909T095515Z UID:1090-1727827200-1728086399@graph-massivizer.eu SUMMARY:Graph-Massivizer at EBDVF 2024 DESCRIPTION:Graph-Massivizer’s partners will soon participate at the European Big Data Value Forum! \nThe European Big Data Value Forum is BDVA’s flagship event\, bringing together the entire European data-driven AI research and innovation community to share knowledge\, collaborate\, and celebrate achievements. \nThis year’s event will take place from October 2nd to 4th\, 2024\, in Budapest\, Hungary. \nGraph-Massivizer will be present in network with Data Nexus Cluster and DATA 01-04 Alliance. \nGet ready for some exciting Sessions featuring Graph-Massivizer! Stay in the loop and find out where you can catch us at the event! \nMore info HERE URL:https://graph-massivizer.eu/events/graph-massivizer-at-ebdvf-2024/ LOCATION:BUDAPEST\, Hungary CATEGORIES:AI,DataScience,Graphs,KnowledgeGraphs ATTACH;FMTTYPE=image/png:https://graph-massivizer.wp.itec.aau.at/wp-content/uploads/sites/27/2024/09/Screenshot-2024-09-09-alle-11.49.20.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20240720 DTEND;VALUE=DATE:20240729 DTSTAMP:20260517T100049 CREATED:20240410T123124Z LAST-MODIFIED:20240410T124219Z UID:891-1721433600-1722211199@graph-massivizer.eu SUMMARY:Data Science International Summer School DESCRIPTION:Organized by Bucharest University of Economic Studies in collaboration with the GATE Institute at Sofia University “St. Kliment Ohridski” and the projects enRichMyData \, Graph-Massivizer \, UPCAST \, INTEND \, and InterTwino \, The goal of this 5th edition of the Summer School is to familiarize participants with relevant state of the art topics in data science and artificial intelligence (AI). The program will cover fundamentals of data science and AI and focus on the following key topics: • Data analytics and statistics • Machine learning and deep learning • Large Language Models and Conversational AI • Causal AI • Time series and graph data • Data sharing • Data and AI pipelines The location where the course will be held is the beautiful town of Predeal\, located in the Transylvania region in Romania\, famous for its mountain landscapes and natural and historical attractions. Register here and see you in Predeal! URL:https://graph-massivizer.eu/events/data-science-international-summer-school/ LOCATION:Predeal\, Romania CATEGORIES:AI,DataScience,Graphs,KnowledgeGraphs,Sustainable Graph,Sustainable Graph Processing Systems ATTACH;FMTTYPE=image/png:https://graph-massivizer.wp.itec.aau.at/wp-content/uploads/sites/27/2024/04/Screenshot-2024-04-10-alle-10.25.11.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20240511T080000 DTEND;TZID=UTC:20240511T080000 DTSTAMP:20260517T100049 CREATED:20260226T071714Z LAST-MODIFIED:20260226T072612Z UID:1443-1715414400-1715414400@graph-massivizer.eu SUMMARY:GraphSys'24 DESCRIPTION:Graphs and GraphSys \nThe use\, interoperability\, and analytical exploitation of graph data are essential for modern digital economies. Today\, thousands of computational methods (algorithms) and findable\, accessible\, interoperable\, and reusable (FAIR) graph datasets exist. However\, current computational capabilities lag when faced with the complex workflows involved in graph processing\, the extreme scale of existing graph datasets\, and the need to consider sustainability metrics in graph-processing operations. Needs are emerging for graph-processing platforms to provide multilingual information processing and reasoning based on the massive graph representation of extreme data in the form of general graphs\, knowledge graphs\, and property graphs. Because graph workloads and graph datasets are strongly irregular\, and involve one or several big data “Vs” (e.g.\, volume\, velocity\, variability\, vicissitude)\, the community needs to reconsider traditional approaches in performance analysis and modeling\, system architectures and techniques\, serverless and “as a service” operation\, real-world and simulation-driven experimentation\, etc.\, and provide new tools and instruments to address emerging challenges in graph processing.   \nGraphs or linked data are crucial to innovation\, competition\, and prosperity and establish a strategic investment in technical processing and ecosystem enablers. Graphs are universal abstractions that capture\, combine\, model\, analyse\, and process knowledge about real and digital worlds into actionable insights through item representation and interconnectedness. For societally relevant problems\, graphs are extreme data that require further technological innovations to meet the needs of the European data economy. Digital graphs help pursue the United Nations Sustainable Development Goals (UN SDG) by enabling better value chains\, products\, and services for more profitable or green investments in the financial sector and deriving trustworthy insight for creating sustainable communities. All science\, engineering\, industry\, economy\, and society-at-large domains can leverage graph data for unique analysis and insight\, but only if graph processing becomes easy-to-use\, fast\, scalable\, and sustainable. \nTo facilitate the exchange of ideas and expertise in the broad field of high-performance large-scale graph processing\, we organize GraphSys\, the second workshop of Serverless\, Extreme-Scale\, and Sustainable Graph Processing Systems. GraphSys is a cross-disciplinary meeting venue focusing on the state-of-the-art and the emerging (future) graph processing systems. We invite experts and trainees in the field\, across academia\, industry\, governance\, and society\, to share experience and expertise leading to a shared body of knowledge\, to formulate together a vision for the field\, and to engage with the topics to foster new approaches\, techniques\, and solutions.  \nGraphSys-2024 will be a full-day workshop with a single session (no parallel sessions). We welcome the wide community of graph processing systems\, and plan to feature invited talks and presentations of papers from within and beyond the GraphMassivizer project. We also plan a panel to introduce and discuss the goals of the GraphMassivizer project and how it can contribute to the strengthening of graph processing research and community.   URL:https://graph-massivizer.eu/events/graphsys24/ LOCATION:ICPE’24\, London\, United Kingdom CATEGORIES:AI,DataScience,Extreme-Scale,Graphs,KnowledgeGraphs,Serverless,Sustainable Graph,Sustainable Graph Processing Systems ATTACH;FMTTYPE=image/jpeg:https://graph-massivizer.wp.itec.aau.at/wp-content/uploads/sites/27/2026/02/GraphSys24.jpeg END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20230613T090000 DTEND;TZID=UTC:20230615T180000 DTSTAMP:20260517T100049 CREATED:20230608T150907Z LAST-MODIFIED:20230608T152833Z UID:711-1686646800-1686852000@graph-massivizer.eu SUMMARY:DATA WEEK 23 DESCRIPTION:Data Week 2023 is the spring gathering of the European Big Data and Data Driven AI research and innovation communities. In Data Week\, the participants share knowledge and results\, discuss topics of common interest\, find synergies\, build new collaborations and identify new challenges and recommendations. Data Week also links the communities and their results to the European policies and market needs and brings European initiatives and activities closer to local communities. \nData Week 2023 is co-organised by Big Data Value Association and the EUHubs4Data project in collaboration with the Research Institutes of Sweden (RISE). The main event of the Data Week 2023 will take place in Luleå\, Sweden between 13 – 15 June 2023 with the central theme “Data Meets Infrastructure at the Edge!” \n \n Visit our web\n \n \n \n \n \n \n \n \n \n \n \n \n Join us on June 13 -15\, 2023\, in Luleå\, Sweden\n \n \n Day(s) \n \n : \n \n \n Hour(s) \n \n : \n \n \n Minute(s) \n \n : \n \n \n Second(s) URL:https://graph-massivizer.eu/events/data-week-23/ LOCATION:Quality Hotel Luleå\, Storgatan 17\, Luleå\, 971 28\, Sweden CATEGORIES:AI,DataScience,Extreme-Scale,Graphs,KnowledgeGraphs,Serverless,Sustainable Graph,Sustainable Graph Processing Systems ATTACH;FMTTYPE=image/png:https://graph-massivizer.wp.itec.aau.at/wp-content/uploads/sites/27/2023/06/event1-copia-6.png ORGANIZER;CN="Big Data Value Association":MAILTO:info@core.bdva.eu END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20230316T090000 DTEND;TZID=UTC:20230316T160000 DTSTAMP:20260517T100049 CREATED:20230307T101152Z LAST-MODIFIED:20230307T103312Z UID:511-1678957200-1678982400@graph-massivizer.eu SUMMARY:AI meets complex knowledge structures: Neuro-Symbolic AI and Graph Tech DESCRIPTION: URL:https://graph-massivizer.eu/events/neuro-symbolic-ai-and-graph-tech/ LOCATION:ELLEN GLEDITSCHS HUS\, Sentrum\, 0166\, Norway CATEGORIES:AI,DataScience,Graphs,KnowledgeGraphs ATTACH;FMTTYPE=image/png:https://graph-massivizer.wp.itec.aau.at/wp-content/uploads/sites/27/2023/03/event1.png END:VEVENT END:VCALENDAR