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X-WR-CALDESC:Scientific LargeScale Infrastructure for Computing/Communication Experimental Studies – Preparatory Phase
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DTSTART;TZID=Europe/Moscow:20250526T000000
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DTSTAMP:20250211T191209Z
CREATED:20250211
LAST-MODIFIED:20250211
PRIORITY:5
SEQUENCE:47
TRANSP:OPAQUE
SUMMARY:Data-Driven Research, Reproducibility, and FAIR Practices in Future G Networks
DESCRIPTION:\nIntroduction:\n\n\n\n\n\n\n\nThe increasing reliance on data-driven methodologies across scientific domains has revolutionized the discovery process and accelerated the pace of knowledge production. In particular, digital infrastructures and the adoption of AI/ML-driven solutions have demonstrated transformative potential. However, this rapid evolution necessitates more than ever, a critical investigation of methodologies and the validity of results.\n\n\n\nThe FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles provide a foundation for improving data management and stewardship. The widespread adoption of FAIR principles reflects their importance in enabling data sharing, experimentation, and collaboration across actors. By ensuring that research data is preserved and conclusions drawn from it are well-documented, we can enable reproducibility, support a robust methodology and accelerate scientific discovery.\n\n\n\nDespite significant effort for reproducibility, barriers persist due to the additional effort required from researchers, limited incentive from scientific organizations and funding agencies and the lack of fully integrated and scalable end-to-end solutions to mitigate this burden. To address these challenges, there is a pressing need for collaborative efforts to develop usable and robust platforms, tools, and policies that enable reproducibility and data sharing while reducing the overhead on researchers.\n\n\n\nThis workshop serves as a platform for researchers, practitioners, and stakeholders to discuss and present innovative approaches to data sharing, reproducibility, and FAIR principles in the context of Future G Networks. Contributions are encouraged that explore experimental methodologies, platforms for data sharing, and reproducibility initiatives that can benefit the research community.\n\n\n\n\n\n\n\nWorkshop Objectives:\n\n\n\n\n\n\n\n\nExplore methodologies and platforms that support FAIR data practices and reproducibility in digital infrastructures and Future G Networks.\n\n\n\nDiscuss challenges and opportunities in data-driven research involving AI/ML methodologies.\n\n\n\nShare best practices and lessons learned from reproducibility-focused initiatives across disciplines.\n\n\n\nFoster collaboration and innovation to create scalable, low-barrier solutions for data sharing and reproducibility.\n\n\n\nDevelopment, Curation, dissemination and standardization of data formats, metadata and archiving principles for large scale data set management.\n\n\n\n\n\n\n\n\nTopics of Interest:\n\n\n\n\nAdvanced wireless networking experimentation\n\n\n\nNew waveforms\n\n\n\nHigher frequencies up to THz\n\n\n\nSpectrum and wireless management\n\n\n\nIntegrated sensing and communication\n\n\n\nMultiple heterogeneous radio management\n\n\n\nSmart/intelligent infrastructure operation and management\n\n\n\n\n\n\n\n\n\nAdvanced protocols and architecture (virtualization, softwarization, programmability)\n\n\n\nAI applied to infrastructure operation and optimization at all layers\n\n\n\nGeneration of data to train algorithms\n\n\n\nDistribution of intelligence into the Edge of the network\n\n\n\nDesign and validation of new Edge/Fog/Open RAN infrastructures\n\n\n\n\n\n\n\n\n\nSoftware and components deployment\n\n\n\nDistributed resource management\n\n\n\nGeo-distributed data management\n\n\n\nFederated Deep Learning\n\n\n\nUse Cases and deployment best practices\n\n\n\nORAN testing and validation\n\n\n\nMethodology for designing and operating a scientific instrument\n\n\n\n\n\n\n\n\n\nInstrumentation and measurement\n\n\n\nArchitecture and APIs\n\n\n\nExperiment design and life-cycle management\n\n\n\nData management, metadata\n\n\n\nTrustworthy Reproducibility\n\n\n\nTestbed implementation and operation\n\n\n\n\n\n\n\n\nImportant Dates:\n\n\n\n\nPaper submission deadline: March 31, 2025\n\n\n\nNotification of acceptance: April 25, 2025\n\n\n\nCamera-ready deadline: May 2, 2025\n\n\n\nWorkshop: May 26, 2025\n\n\n\n\n\n\n\n\nPaper Submission:\n\n\n\n\nSubmitted papers should be written in English by following the IEEE conference format (double-column, 10pt font), with a maximum length limit of 6 (six) printed pages, including all figures, references, and appendices.\n\n\n\nPapers should be submitted through EDAS in PDF using the following link:https://edas.info/newPaper.php?c=33421&track=129127 ( https://edas.info/newPaper.php?c=33421&track=129127 )\n\n\n\nOnly original papers that have not been published or submitted for review elsewhere will be considered for publication in the proceedings.\n\n\n\nPapers will appear in the conference proceedings and will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements.\n\n\n\nAt least one author of each accepted paper is required to register and present the work in the workshop.\n\n\n\n\n\n\n\n\nTPC Co-Chairs\n\n\n\n\nPanayiotis Andreou, UCLan Cyprus, Cyprus\n\n\n\nGeorg Carle, Technical University of Munich\n\n\n\nSerge Fdida, Sorbonne Université, EU ESFRI SLICES\n\n\n\nAbhimanyu (Manu) Gosain, Northeastern University, NSF PAWR Office\n\n\n\nStavroula Maglavera, UTH, Greece\n\n\n\n\n\n\n\n\nTechnical Program Committee Members (pending)\n\n\n\n\n\n\n\n\nBartosz Belter, PSNC, Poland\n\n\n\nOlivier Bonaventure, UC Louvain, Belgium\n\n\n\nRaffaele Bruno, CNR, Italy\n\n\n\nYuri Demchenko, University of Amsterdam, The Netherlands\n\n\n\nCostas Filis, Cosmote, Greece\n\n\n\nCheick Mamadou Bamba Gueye, UCAD, Senegal\n\n\n\nLouis Fendji, University of Ngaoundéré, Cameroun\n\n\n\nSebastian Gallenmüller, TUM, Germany\n\n\n\nManu Gosain, Northeastern University\n\n\n\nTobias Hoßfeld, Universität Würzburg, Germany\n\n\n\nFarouk Kamoun, Université Sesame, Tunisia\n\n\n\nKate Keahey, University of Chicago, USA\n\n\n\nDan Kilper, TCD, Ireland\n\n\n\nJongWon Kim, GIST, Korea\n\n\n\nRaymond Knopp, Eurecom, France\n\n\n\nNikos Makris, University of Thessaly, Greece\n\n\n\nThomas Magedanz, TU Berlin, Germany\n\n\n\nJoyce Mwangama, UCT, South Africa\n\n\n\nVitalis Ozianyi (STR), Strathmore University, Kenya\n\n\n\nLuís Manuel Pessoa, Inesctec, Portugal\n\n\n\nJosé Rezende, RNP, Brazil\n\n\n\nManuel Ricardo, Universidade do Porto, Portugal\n\n\n\nPaul Ruth, RENCI, USA\n\n\n\nDamien Saucez, INRIA, France\n\n\n\nIvan Seskar, Rutgers University, USA\n\n\n\nJörg Widmer, IMDEA Networks Institute, Spain\n\n\n\n\n\n
URL:https://slices-pp.eu/events/data-driven-research-reproducibility-and-fair-practices-in-future-g-networks/
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