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UBITECH participates at the kick-off of the MobiSpaces Research and Innovation Action on Data Spaces for Green Mobility

UBITECH participated at the kick-off meeting hosted by UPRC in Athens, Greece (September 20-21, 2022) of the MobiSpaces Research and Innovation Action, officially started on September 1st, 2022. The project is funded by European Commission under Horizon Europe Programme (Grant Agreement No. 101070279) and spans on the period September 2022 – August 2025. MobiSpaces aims to deliver an end-to-end mobility-aware and mobility-optimized data governance platform with key differentiating factor that the outcomes of mobility analytics will be utilized to optimize the complete data path, in terms of efficient, reliable, secure, fair and trustworthy data processing.

MobiSpaces promises the extraction of actionable insights from ubiquitous mobile sensor data and IoT devices in a decentralized way, offering intelligent transportation services, enforcing privacy constraints at the expected point of action. XAI techniques will be applied at the level of data management and machine learning, supporting the creation of comprehensive and interpretable prediction models, while all the research outcomes will be validated through five use cases: 1) intelligent public transportation services in urban environments, 2) intelligent infrastructure traffic sensing for smart cities, 3) vessel tracking for non-cooperative vessels, 4) decentralized processing on[1]board of vessels, and 5) enhanced nautical maps via crowdsourced bathymetry vessels data. These actions will be continuously adapted and monitored for their environmental sustainability, whereas MobiSpaces will create a widely accepted standard of data processing and analytics, alongside a data-rich ecosystem providing trustworthy and actionable data that is vital for enabling the growth of the EU digital economy.

Within MobiSpaces, the contribution of UBITECH focuses on the data management aspects, related with: (i) the delivery of mobility-aware AI and pattern analysis algorithms, (ii) the provision of adaptive resource allocation and configuration, (iii) the performance of efficient and user-friendly declarative analytics, (iv) the delivery of AI-enhanced aggregation algorithms for resource-constrained edge nodes, (v) the implementation of an overall decentralized data management system, for supporting decentralized data operations, and (vi) the protection of data flows.