September 26, 2022
ahedd DIH participated in two EUH4D-funded experiments, which were realised in the context of the European federation of Data Driven Innovation Hubs aiming at consolidating as the European reference for data driven innovation and experimentation, fostering collaboration between data driven initiatives in Europe, federating solutions in a global common catalogue of data services, and sharing data in a cross-border and cross-sector basis.
More specifically, the first experiment, Employchain_ESCO is a Tinder-like job matching app from Sweden that matches skills supply and demand in the labor market. In this experiment, a skill recommender system is developed, which is based on a knowledge graph that is enriched with all Swedish higher education learning opportunities and their learning outcomes mapped to ESCO skills. This enables a much more accurate representation and matching of education-related CV data. In this experiment, ahedd provides Ontology Engineering and Knowledge Graph construction services.
The second experiment, ClimateByte is a Software-as-a-Service (SaaS) for assessing the climate risk in agriculture at local scale, based on big data and machine learning approaches, integrating station, forecast and satellite. Big Data and ML approaches will be used, such as Decision Trees and Convolutional Neural Networks, to reach the spatial resolution required by the insurance industry. In this experiment, ahedd provides the Visualisation service to produce a map for the high resolution data that are being generated.
The experiments represent relevant examples of how the federation is fostering cross-border data driven innovation and experimentation in Europe, how to apply and use services from the federated catalogue, and success stories from the user point of view.