June 2024 - Musawp1 - di.unimi.it

MUSA - data confermata per la Plenaria WP1: 17/7 h14:00
by Francesco Zavatarelli 24 Jun '24

24 Jun '24

Buongiorno a tutti. Nell'ultima plenaria WP1 avevamo ipotizzato di spostare la Plenaria di luglio di qualche giorno, dopo la review MUSA. Purtroppo la data delle review è ancora incerta. Per questo motivo al momento confermiamo la data precedentemete comunicata: *mercoledì 17 luglio h14* Come al solito agenda e link verranno comunicati in seguito. PS: lo slot principale della call è assegnato al "*Pilot 1.2.6: Green Radiotherapy"* Cordiali saluti FZ -- Francesco Zavatarelli

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REMINDER Plenaria Musa 19 giugno h14:00 (link e agenda)
by Francesco Zavatarelli 14 Jun '24

14 Jun '24

Buongiorno, inviamo il link della plenaria e la bozza di agenda (NOTA: nella versione precedente dell'agenda c'era un errore negli orari) *LINK PLENARIA di mercoledì 19 giugno h14:00* https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZWNhN2MzZWYtNTVhMi00… *BOZZA AGENDA* [image: image.png] -- Francesco Zavatarelli

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MUSA REMINDER Plenaria WP1: mercoledì 19 giugno h14:00
by Francesco Zavatarelli 14 Jun '24

14 Jun '24

Buongiorno a tutti Ricordo che la consueta plenaria WP1 si svolgerà la settimana prossima: *mercoledì 19 giugno h14:00* il link per il collegamento verrà mandato in seguito Cordiali saluti [image: image.png] -- Francesco Zavatarelli

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[DBWorld] [ITADATA2024] (Submission Deadline Extended: June 30th, 2024, Abstract Due: June 16th, 2024)
by Filippo Berto 13 Jun '24

13 Jun '24

*Submission deadlines extended to June 30th, 2024 (abstract due June 16th, 2024)* 3RD ITALIAN CONFERENCE ON BIG DATA AND DATA SCIENCE (ITADATA 2024) September 17-19, 2024, Pisa, Italy https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.itada… ***ABOUT*** The Italian Conference on Big Data and Data Science (ITADATA2024), at its third edition, is the annual event supported by the CINI Data Science 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). This year the conference is supported also by SoBigData RI (https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sobigd…) which is a multi-disciplinary European research infrastructure aimed at using social mining and big data to understand the complexity of society. 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 selected distinguished keynote speeches and some panels. ITADATA2024 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. ITADATA2024 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 (EXTENDED - FIRM)*** Research Paper/Presentation abstract submissions due: June 16th, 2024 Research Paper/Presentation submissions due: June 30th, 2024 Final notification to authors: July 22nd, 2024 Camera-ready paper and registration due: August 5th, 2024 Tutorial/Demo/Workshop/Panel submissions due: June 30th, 2024 Final notifications to proposers: July 16th, 2024 ***CALL FOR RESEARCH PAPERS*** ITADATA2024 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. ITADATA2024 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 - Data Spaces 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 proceedings in arXiv. ***CALL FOR PRESENTATIONS*** ITADATA2024 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. ITADATA2024 also welcomes papers specifically focusing on policy making, ethics, laws, and regulations. A 2 to 4 pages abstract of the presentation has 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*** ITADATA2024 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 hour - Full description (up to 2 pages) + citations to related publications - Target audience ***CALL FOR WORKSHOPS*** ITADATA2024 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. ITADATA2024 workshops are planned to be delivered in a half-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*** ITADATA2024 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. ITADATA2024 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://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcmt3.rese…. All papers and proposals must be formatted following the provided style available at https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.itada…. All papers and proposals will be evaluated and selected on the basis of their quality, originality, relevance, and timeliness. ***COMMITTEES AND CHAIRS*** STEERING COMMITTEE - Claudio A. Ardagna, Universita' degli Studi di Milano - Angela Bonifati, Universite' Claude Bernard Lyon 1 - Angelo Ciaramella, Universita' degli Studi di Napoli Parthenope - Davide Dalle Carbonare, Engineering Ingegneria Informatica - Ernesto Damiani, Khalifa University - Donato Malerba, Universita' degli Studi di Bari "Aldo Moro" GENERAL CHAIRS - Roberto Trasarti, CNR - ISTI - Anna Monreale, Universita' di Pisa - Claudio A. Ardagna, Universita' degli Studi di Milano PROGRAM CHAIRS - Michela Natilli, CNR - ISTI - Giovanni Stilo, Universita' degli Studi dell'Aquila - Claudia Diamantini, Universita' Politecnica delle Marche - Luigi Romano, Universita' degli Studi di Napoli Parthenope - Nicola Bena, Universita' degli Studi di Milano PRESENTATION TRACK CHAIRS - Riccardo Guidotti, Universita' di Pisa - Roberto Pellungrini, Scuola Normale Superiore di Pisa PANEL CHAIRS - Antinisca Di Marco, Universita' degli Studi dell'Aquila - Luca Pappalardo, CNR - ISTI - Angelo Ciaramella, Universita' degli Studi di Napoli Parthenope WORKSHOP CHAIRS - Chiara Boldrini, CNR - IIT - Chiara Braghin, Universita' degli Studi di Milano - Graziella De Martino, Universita' degli Studi di Bari "Aldo Moro" - Giulio Rossetti, CNR - ISTI TUTORIAL/DEMO CHAIRS - Francesca Pratesi, CNR - ISTI - Stefano Silvestri, CNR - ICAR - Michele Tucci, Universita' degli Studi dell'Aquila PUBLICATION CHAIRS - Valentina Pansanella, CNR - ISTI - Katia Genovali, CNR - ISTI PUBLICITY CHAIRS - Filippo Berto, Universita' degli Studi di Milano - Stefano Cirillo, Universita' degli Studi di Salerno This call for papers and additional information about the conference can be found at https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fitadata.i… Program chairs can be contacted at info(a)itadata.it -- Filippo Berto Ph.D., Research Fellow Department of Computer Science, University of Milan La Statale per il futuro Salute, transizione digitale, sostenibilità Il tuo 5xmille<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.unimi…> ai nuovi progetti di ricerca dell'Università degli Studi di Milano. Codice fiscale 80012650158

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REMINDER MUSA Deliverable per la review, periodo marzo-giugno
by Francesco Zavatarelli 06 Jun '24

06 Jun '24

Buongiorno a tutti. Ringrazio innanzi tutto chi ha già inviato i contributi. Ricordo che per la prossima settimana è previsto l’invio del report scientifico al MUSA HUB presso Bicocca per la review del periodo marzo-giugno. *Per cui possono essere presi in considerazione solo i deliverable inviati entro giovedì 14 giugno. * *Cortesemente, se fate upload di un contributo, mandate anche una notifica a questa mail.* Grazie della collaborazione Cordiali saluti -- Francesco Zavatarelli

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[IEEE CSR Workshop] (Submission Deadline Extended: June 30th, 2024)
by Filippo Berto 06 Jun '24

06 Jun '24

IEEE CSR SDGCP Workshop 2024 IEEE International Conference on Cyber Security and Resilience Workshop on Synthetic Data Generation for a Cyber-Physical World ++++++++++++++++++++++++++ 2 - 4 September 2024 * London * UK * Hybrid event * Workshop: https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ieee-… Submission portal: https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ieee-… The Synthetic Data Generation workshop of the IEEE Cyber Security and Resilience conference, ai its first edition, is the event that aims to put together Data Science 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). This workshop aims to address the need for replicable and safe sharing of information by promoting the advancement of our community towards synthetic data generation. By creating synthetic datasets that mimic real-world phenomena, researchers can effectively overcome barriers associated with limited access to sensitive or proprietary data. In doing so, we not only foster interdisciplinary collaborations but also accelerate scientific discovery. ## Brief Description Synthetic datasets that reflect the statistical properties of authentic data allow us to share research insights and findings without compromising privacy or proprietary interests. This approach not only promotes transparency and reproducibility in research but also encourages interdisciplinary collaboration and knowledge sharing. Artificial Intelligence (AI) is one of the main areas utilizing generated synthetic data. Privacy issues arise once the dataset contains sensitive features playing a role in training AI systems. Given the high cost and time-consuming nature of data collection, as well as the potential for shortcomings such as low data volume, non-compliance with regulations, and bias, there is a risk of not only achieving biased and low-performance models but also violating privacy principles. Synthetic data generation can facilitate analysis, the need for data augmentation, or prevent data breaches in highly sensitive domains, rather than weak anonymization approaches. Generative Adversarial Networks (GAN), Variational Autoencoders (VAE), and Agent-based modeling (ABM) are among the most common synthetic data generation algorithms. However, it is critical to recognize the limitations of synthetic data generation, particularly in capturing the intricacies and interdependencies present in real-world systems. While synthetic datasets can mimic statistical distributions and patterns, they may struggle to replicate the nuanced relationships and contextual nuances inherent in complex phenomena. By leveraging advances in artificial intelligence, machine learning, and computational modeling, researchers can strive to bridge the gap between synthetic and authentic data, unlocking new opportunities for insight and innovation in fields as diverse as healthcare, finance, social sciences, and beyond. ## Topics of Interest Prospective authors are encouraged to submit previously unpublished contributions from a broad range of topics, which include but are not limited to the following: - Privacy-preserving in healthcare data - Algorithms for debiasing datasets (in the pre-processing phase of ML modeling) - Algorithms for debiasing the ML models’ results - Uncovering and mitigating synthetic data algorithmic bias - Assurance and certification of the dataset and ML models - Synergy of ABM with ML focusing on the rule extraction - Domain-dependent/independent synthetic data generation challenges and opportunities - FAIR (findability, accessibility, interoperability, and reuse) and ethical synthetic data generation - Explainability and interpretability aspects in synthetic data generation ## Important Dates - Paper submission deadline: June 30, 2024 AoE - Authors’ notification: July 14, 2024 AoE - Camera-ready submission: July 20, 2024 AoE - Early registration deadline: July 20, 2024 AoE - Workshop date: September 2-4, 2024 ## Workshop Chairs - Samira Maghool, Department of Computer Science, Universita' degli Studi di Milano - Faiza Allah Bukhsh, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente ## Organizing Commitee - Ernesto Damiani, Department of Computer Science, Khalifa University - Paolo Caravolo, Department of Computer Science, Universita' degli Studi di Milano - Samira Maghool, Department of Computer Science, Universita' degli Studi di Milano - Faiza Allah Bukhsh, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente ## Technical Program Committee - Mirela Riveni, University of Groningen - Juba Agoun, Universite` Lumie're Lyon 2 - Valerio Bellandi, Universita' degli Studi di Milano - Nicola Bena, Universita' degli Studi di Milano - Filippo Berto, Universita' degli Studi di Milano - Afshin Montakhab Shiraz, University - Marco Cremonini, Universita' degli Studi di Milano - Elena Casiraghi, Universita' degli Studi di Milano - Rob Bemthuis, University of Twente - Sanja Lazarova-Molnar Karlsruhe Institute of Technology - Azzam Mourad Lebanese American, University - Anastasija Nikiforova, University of Tartu - MohammadReza Fani Sani Microsoft - Paolo Caravolo, Universita' degli Studi di Milano - Maya Daneva, University of Twente - Jeewanie Jayasinghe Arachchig, University of Twente - Rabia Maqsood National, University of Computer and Emerging Sciences CHINIOT-FAISALABAD CAMPUS - Marco Angelini, University of Rome "La Sapienza" - Alessandro Palma, University of Rome "La Sapienza" - Robert Wrembel Poznan, University of Technology, Computer Science - Ehsan Ullah Munir, Comsats University Please don't hesitate to ask further questions. This call for papers and additional information about the conference can be found at https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ieee-… Organizers can be contacted at samira.maghool(a)unimi.it and f.a.bukhsh(a)utwente.nl . --- Filippo Berto Ph.D., Research Fellow Department of Computer Science, University of Milan filippo.berto(a)unimi.it *** La Statale per il futuro Salute, transizione digitale, sostenibilità Il tuo 5xmille ai nuovi progetti di ricerca dell'Università degli Studi di Milano Codice fiscale 80012650158

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