2ND ITALIAN CONFERENCE ON BIG DATA AND DATA SCIENCE (ITADATA2023) September 11-13, 2023, Naples, Italy https://itadata.it ***ABOUT*** The Italian Conference on Big Data and Data Science (ITADATA2023), at its second edition, is the annual event supported by the CINI Big Data National Laboratory that aims to put together Italian researchers and professionals from academia, industry, government, and public administration working in the field of big data and data science, as well as related fields (e.g., security and privacy, HPC, Cloud). The conference will be structured into a main research track on big data and data science and complemented with tutorials/demos on specific solutions and prototypes developed by industries, research centers and universities, and thematic workshops on specific verticals of big data and data science. The conference will also feature two selected distinguished keynote speeches and some panels. ITADATA2023 aims to discuss and shape the future of Big Data and Data Science in Italy and abroad, considering the multidisciplinary, complex, heterogeneous, and data-centric environment in which modern distributed systems are operating. The ability to timely manage and analyze large amounts of data, and to guarantee low-latency access to the data themselves increasingly become critical requirements and are at the heart of modern business processes. In this context, data science, as the foundation of today's data-driven society, plays the role of developing and defining all the technologies needed to support construction of value on data in multidisciplinary areas at increasing complexity. ITADATA2023 covers theoretical and practical research and application pertaining to data, from data governance to data processing and analysis. It also covers research and application in related domains where data and data science technologies are key, such as cloud, edge and IoT, intelligent and high performance computing, blockchain, security and privacy, assurance and certification. It finally considers and analyzes the evolution of big data and data science at EU and national level, trying to map current activities in the context of data spaces and relevant organizations/associations such as for instance the Big Data Value Association (BDVA), as well as policy development, laws, and regulations. ***IMPORTANT DATES*** Research Paper/Presentation submissions due: June 1st, 2023 Final notification to authors: July 1st, 2023 Camera-ready paper and registration due: July 15th, 2023 Tutorial/Demo/Workshop/Panel submissions due: May 15th, 2023 Final notifications to proposers: June 1st, 2023 ***CALL FOR RESEARCH PAPERS*** ITADATA2023 welcomes original papers from academia and industry presenting novel research on all theoretical and practical aspects of Big Data and data science including data governance, data processing, data analysis, data reporting, data protection, as well as experimental studies and lessons learned. ITADATA2023 also welcomes papers specifically focusing on policy making, ethics, laws, and regulations. Areas of interest include, but are not limited to: - Big Data and Data Science Foundation - Big Data Platforms and Infrastructures - Big Data and Data Science Applications - Big Data Governance - Big Data Security and Privacy - Big Data Assurance and Trustworthiness - Ethics of Big Data - Big Data and Data Science for Cybersecurity - Big Data and Data Science for High Performance Computing - Industrial Big Data and Data Science Papers have to be submitted in pdf format, must be written in English and be no longer than 12 pages including all contents and references. All papers will be reviewed by at least 3 members of the program committee and evaluated on the basis of their quality, originality, relevance, and timeliness. Accepted paper shall be published in an open-access volume of CEUR Workshop Proceedings (http://ceur-ws.org/). ***CALL FOR PRESENTATIONS*** ITADATA2023 welcomes presentations of previously published research results or work in progress from academia and industry in all theoretical and practical aspects of Big Data and data science including data governance, data processing, data analysis, data reporting, data protection, as well as experimental studies and lessons learned. ITADATA2023 also welcomes papers specifically focusing on policy making, ethics, laws, and regulations. A 2 to 4 pages abstract of the presentation have to be submitted in pdf format and must be written in English. Accepted presentations will be presented at the conference and will not be added to the conference proceedings. ***CALL FOR TUTORIALS/DEMOS*** ITADATA2023 tutorial/demo track welcomes researchers and practitioners in sharing practical knowledge, best practices and guidelines in vertical problems of big data and data science, and live demonstrations and prototypes. Tutorials/demos are planned to be delivered in a session of 1 or 2 hours. Tutorial proposals should contain the following information: - Title of the tutorial - Presenter(s) (brief CVs) - Aims and learning objectives - Scope of the tutorial/demo - Length: 1 or 2 hours - Full description (up to 2 pages) + citations to related publications - Target audience ***CALL FOR WORKSHOPS*** ITADATA2023 workshop track welcomes proposals for thematic workshops on specific verticals on big data and data science. Workshops focus on novel and disruptive topics, which can contribute and shape the future of big data and data science. ITADATA2023 workshops are planned to be delivered in a half-a-day session (4 hours). Workshop proposals should contain the following information: - Title of the workshop - Abstract of the workshop - Workshop goals, objectives, outcomes - Full description (up to 2 pages) - Format/structure of the workshop (tentative schedule) - Workshop Chairs (brief CVs) - Target audience ***CALL FOR PANELS*** ITADATA2023 panel track is meant to be a unique academic and industrial forum to discuss different viewpoints concerning gaps and challenges to be addressed by the big data and data science community. ITADATA2023 panels are planned to be delivered in a session of 30 minutes or 1 hour. Panel proposals should contain the following information: - Title of the panel - Moderator (brief CVs) - Aims, scope and topics of interest - Length: 30 minutes or 1 hour - Full description (up to 1 page) - Panelists - Target audience ***SUBMISSION INSTRUCTIONS*** Original papers, tutorial and demo, workshop, panel proposals must be submitted in the corresponding tracks at https://cmt3.research.microsoft.com/ITADATA2023/ All papers and proposals must be formatted following the CEUR-ART style files (1 column) available at http://ceur-ws.org/Vol-XXX/CEURART.zip. All papers and proposals will be evaluated and selected on the basis of their quality, originality, relevance, and timeliness. ***KEYNOTE SPEAKERS*** ITADATA2023 is honored to announce two outstanding keynote speakers. - Ernesto Damiani, Director of the Center for Cyber-Physical System at Khalifa University, Abu Dhabi, Full Professor at the Department of Computer Science, Universita' degli Studi di Milano, Italy. President of the National Interuniversity Consortium for Computer Science. EIC of the International Journal on Big Data and of the International Journal of Knowledge and Learning. Associate editor of the IEEE Transactions on Service-oriented Computing and of the IEEE Transactions on Fuzzy Systems. ACM Distinguished Scientist and recipient of the Chester Sall Award from the IEEE Industrial Electronics Society. He received the doctorate honoris causa from INSA - Lyon (France) for his contribution to Big Data teaching and research. His research interests include Artificial Intelligence, Machine Learning, Cyber-physical systems, secure service-oriented architectures, privacy-preserving big data analytics and cyber-physical systems security, where he published more than 700 scientific papers and books. - Francesco Bonfiglio, CEO GAIA-X. With more than 30 years' experience in the business of consulting and information technology, Francesco brings his knowledge of the cloud and data market needs, and his vision on how Gaia-X should revolutionize it. Independent Advisor since 2020, he has spent his previous professional life as an executive in many Italian and Multinational contexts. Formerly Chief Executive Officer for ENGINEERING D.HUB (Hybrid Cloud and Digital Transformation company within the largest Italian System Integrator Group), Vice President for Technology Services at AVANADE and Managing Director within the ACCENTURE Group, Chief Technology Officer for HEWLETT-PACKARD EMEA, SW Factory Director at UNISYS, Technical Director and Methodology Evangelist at RATIONAL SOFTWARE amongst his positions. ***COMMITTEES AND CHAIRS*** STEERING COMMITTEE - Claudio A. Ardagna, Universita' degli Studi di Milano - Angela Bonifati, Lyon 1 University - Davide Dalle Carbonare, Engineering Ingegneria Informatica - Ernesto Damiani, Khalifa University - Donato Malerba, Universita' degli Studi di Bari GENERAL CHAIRS - Claudio A. Ardagna, Universita' degli Studi di Milano - Angelo Ciaramella, Universita' degli Studi di Napoli Parthenope PROGRAM CHAIRS - Beniamino Di Martino, Universita' della Campania - Antonio Maratea, Universita' degli Studi di Napoli Parthenope - Alessandro Sperduti, Universita' degli Studi di Padova PANEL CHAIRS - Davide Dalle Carbonare, Engineering Ingegneria Informatica - Roberto Pirrone, Universita' degli Studi di Palermo - Luigi Romano, Universita' degli Studi di Napoli Parthenope WORKSHOP CHAIRS - Claudia Diamantini, Universita' Politecnica delle Marche - Marco Giolo, Almaviva - Giuseppe Polese, Universita' degli Studi di Salerno TUTORIAL/DEMO CHAIRS - Maurizio Atzori, Universita' di Cagliari - Michele Di Capua, Unilimited Software - Domenico Potena, Universita' Politecnica delle Marche PUBLICATION CHAIRS - Nicola Bena, Universita' degli Studi di Milano - Emanuel Di Nardo, Universita' degli Studi di Napoli Parthenope PUBLICITY CHAIR - Filippo Berto, Universita' degli Studi di Milano This call for papers and additional information about the conference can be found at https://itadata.it Program chairs can be contacted at info@itadata.it