BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Graph Massivizer EU Project - ECPv6.15.16//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:20250421 DTEND;VALUE=DATE:20250426 DTSTAMP:20260406T031151 CREATED:20240911T094648Z LAST-MODIFIED:20240911T094648Z UID:1140-1745193600-1745625599@graph-massivizer.eu SUMMARY:Dagstuhl Seminar - Holistic Graph-Processing Systems: Enabling Real-World Scale and Societal Impact DESCRIPTION:In today’s digital landscape\, complexity grows with increasing data volume and degree of interconnection. A suitable data abstraction is crucial for comprehending and navigating this dense network of connections. \nGraph-Massivizers is taking on this challenge and playing a key role in coordinating the Seminar. \nThe Dagstuhl Seminar will provide a unique opportunity for encounters between these distinct communities\, each addressing graph processing at scale. We aim to bring together three essential communities: distributed\, parallel\, and cluster computing\, machine learning for\, on\, and with graphs\, and social and information networks. We facilitate therefore a better understanding of each community’s challenges regarding graph processing\, and promote a synergic relationship to shape holistic\, actionable knowledge of graph processing. \nWe are looking forward to meeting you there in 2025! \nMore information can be found here URL:https://graph-massivizer.eu/events/dagstuhl-seminar-holistic-graph-processing-systems-enabling-real-world-scale-and-societal-impact/ CATEGORIES:DataScience,Extreme-Scale,Graphs,KnowledgeGraphs,Sustainable Graph,Sustainable Graph Processing Systems ATTACH;FMTTYPE=image/png:https://graph-massivizer.wp.itec.aau.at/wp-content/uploads/sites/27/2024/09/Screenshot-2024-09-11-alle-11.44.52.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20241114 DTEND;VALUE=DATE:20241116 DTSTAMP:20260406T031151 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:20260406T031151 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:20240917 DTEND;VALUE=DATE:20240920 DTSTAMP:20260406T031151 CREATED:20240911T093439Z LAST-MODIFIED:20240911T094121Z UID:1134-1726531200-1726790399@graph-massivizer.eu SUMMARY:Graph-Massivizer at SEMANTICS 2024 DESCRIPTION:20th International Conference on Semantic Systems\nWe are pleased to announce that Graph-Massivizer will be featured at the Semantics Conference. \nWe will be presenting our project outcomes through presentations and posters. \nMore information will be coming soon on our social media channels. Stay tuned and follow us! \nInfo on the Conference available   here \n  \n  URL:https://graph-massivizer.eu/events/graph-massivizer-at-semantics-2024/ LOCATION:AMSTERDAM\, Netherlands CATEGORIES:Extreme-Scale,Graphs,KnowledgeGraphs,Sustainable Graph Processing Systems ATTACH;FMTTYPE=image/png:https://graph-massivizer.wp.itec.aau.at/wp-content/uploads/sites/27/2024/09/Screenshot-2024-09-11-alle-11.29.50.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20240720 DTEND;VALUE=DATE:20240729 DTSTAMP:20260406T031151 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;VALUE=DATE:20240617 DTEND;VALUE=DATE:20240622 DTSTAMP:20260406T031151 CREATED:20240603T121045Z LAST-MODIFIED:20240603T121356Z UID:951-1718582400-1719014399@graph-massivizer.eu SUMMARY:Dubrovnik Meeting: let’s share what we have learned so far! DESCRIPTION:Graph-Massivizer’s partners will soon gather at the Center for Advanced Academic Studies of the University of Zagreb to engage in crucial discussions. \nThe meeting will focus on assessing the project’s progress and strategizing the next steps towards finalizing the use cases and launching the integrated version of the platform. \nThe event will take place in Dubrovnik\, thanks to the colleagues from the Jožef Stefan Institute who have decided to host the graph massivizers in the city. Dubrovnik is a true jewel of the Adriatic and has been part of the UNESCO cultural heritage since 1979. URL:https://graph-massivizer.eu/events/dubrovnik-meeting-lets-share-what-we-have-learned-so-far/ CATEGORIES:DataScience,Graphs,KnowledgeGraphs,Sustainable Graph ATTACH;FMTTYPE=image/png:https://graph-massivizer.wp.itec.aau.at/wp-content/uploads/sites/27/2024/06/Screenshot-2024-06-03-alle-14.09.01.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20240511T080000 DTEND;TZID=UTC:20240511T080000 DTSTAMP:20260406T031151 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;VALUE=DATE:20230720 DTEND;VALUE=DATE:20230729 DTSTAMP:20260406T031151 CREATED:20230512T090005Z LAST-MODIFIED:20230608T153434Z UID:663-1689811200-1690588799@graph-massivizer.eu SUMMARY:Data Science International Summer School 4th Edition DESCRIPTION:July 20 – 28\, 2023\nPredeal\, Romania\nOrganized by Bucharest University of Economic Studies\, in collaboration with the GATE Institute at Sofia University “St. Kliment Ohridski” and the projects DataCloud\, enRichMyData\, Graph-Massivizer\, UPCAST\, and InterTwino.\n \n Visit our web\n \n \n \n \n \n \n \n \n \n \n \n Goal: \nThe goal of the summer school is to familiarize students with relevant state of the art topics in data science. The program will cover fundamentals of data science and focus on the following key data science topics: \nData analytics and statisticsMachine learningTime series and graph dataConversational AIData pipelines (data enrichment pipelines\, machine learning pipelines)Data sharingThe program will consist of a combination of lecture-style talks introducing various data science paradigms and methods\, and hands-on sessions. \nThe summer school aims to have a practical orientation\, with Python and Jupyter Notebooks being used to exemplify many of the topics covered at the summer school. \nAt the end of the summer school\, the students are expected to have an understanding of key paradigms used in data science and be able to practically apply them in data science projects. \nPrerequisites: \nFamiliarity with computer programming and basic knowledge about Python\, interest in working with data\, enthusiasm\, and willingness to learn new things! \nBasic knowledge of linear algebra\, probability theory\, and knowledge representation would be useful\, though not strictly necessary. \n \n \n \n \n \n Powered by:\n \n \n \n \n \n \n \n \n \n \n \n Founded in 2006\, Softelligence enables organizations in Financial Services to accelerate data-driven growth with next generation InsurTech through automation\, AI and software engineering. \nFrom data to insights with compelling dashboards\, from manual processes and forms to pure digital customer journeys\, Softelligence is the partner of choice for many Top-Tier Insurers and Banks in Europe. We are the human link between financial services and technology.\n \n Visit our web\n \n \n \n \n \n \n Join us on July 20-28\, 2023\, in Predeal\, Romania\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-science-international-summer-school-4th-edition/ LOCATION:Training Center of the Bucharest University of Economic Studies in Predeal\, Romania CATEGORIES:DataScience,Graphs,KnowledgeGraphs,Sustainable Graph,Sustainable Graph Processing Systems ATTACH;FMTTYPE=image/png:https://graph-massivizer.wp.itec.aau.at/wp-content/uploads/sites/27/2023/05/DSIS.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20230613T090000 DTEND;TZID=UTC:20230615T180000 DTSTAMP:20260406T031151 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:20230413T080000 DTEND;TZID=UTC:20230413T170000 DTSTAMP:20260406T031151 CREATED:20230413T070902Z LAST-MODIFIED:20260226T071008Z UID:645-1681372800-1681405200@graph-massivizer.eu SUMMARY:GraphSys'23 DESCRIPTION:GraphSys’23\n \n \n \n \n \n The First Workshop on Serverless\, Extreme-Scale\, and Sustainable Graph Processing Systems Co-located with ICPE 2023.\n \n Visit our web\n \n \n \n \n \n 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 first 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.  \nWorkshop format\nGraphSys-2023 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.   \nFor more details on submissions and topics of interest\, please check the call for papers. \nCredits & acknowledgements\nThe GraphSys workshop is technically sponsored by the Graph-Massivizer project (Grant number 101093202\, https://graph-massivizer.eu) funded by the Horizon Europe research and innovation program of the European Union for the period 2023-2026\, which studies and aims to develop a high-performance\, scalable\, gender-neutral\, secure\, and sustainable platform for massive graph processing\, and by and the Horizon 2020 DataCloud project (Grant number 101016835\, https://datacloudproject.eu/)  \nIn time\, we aim to align GraphSys with the Standard Performance Evaluation Corporation (SPEC)’s Research Group (RG)\, and\, in particular\, the RG Cloud Group that is taking a broad approach\, relevant for both academia and industry\, to cloud benchmarking\, quantitative evaluation\, and experimental analysis. \n \n \n \n \n \n \n Join us on April 15\, 2023\, 9-17 in Coimbra! \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/graphsys23/ LOCATION:ICPE’23\, Coimbra\, Portugal CATEGORIES: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/27/2023/04/GraphSys23.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20230316T090000 DTEND;TZID=UTC:20230316T160000 DTSTAMP:20260406T031151 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