Digital twin technology may be most commonly thought of in its building visualization form. Moreover, the impression is often that it is exclusive to new, high-end development projects. This session peels back the basics of digital twin and how it can be utilized to optimize building performance and operations in both new and existing buildings.

Panelists: David Gallagher, Oxford Properties; Robby Martin, Willow; Chan Onechanh, SoFi

Stadium Moderator: Jeremy Richmond, DB Engineering

Energy characterisation of existing buildings at multiple geographical levels (district, city, region) can be used to understand energy use trends.  Moreover, it can correlate the energy consumption to characteristics of the territory and identify specific locations where there are buildings with poor energy performance.

Data visualization makes data easier to understand. It aids communication (to the public) and decision-making (at governance level). Data transparency not only involves making the data public. It is necessary to provide visualizations that help citizens understand the policies that are applied and their results.

DT4REGIONs and Living-in.eu initiatives under the lead of ENoLL within WP4, with the support of the Computer Vision Center, have organized the Webinar on Data Spaces for Digital Transition “Data Spaces for Digital Transition: Enabling data creation, access and valorisation for EU Regions”. With the aim to explore the integration of AI into Digital & Data Spaces for European cities and regions.

The “Data Spaces Blueprint | Version 2.0”, published by the Data Spaces Support Centre, provides a consistent and comprehensive set of guidelines to support the entire development cycle of data spaces.

These guidelines aim to achieve three things:

This webinar is hosted by the data.europa academy and builds on the data.europa.eu discussion paper “Measuring data demand within the public sector”. This webinar provides an introduction to data re-use by public institutions (e.g. to develop new public services) and the importance of engaging with and measuring data demand by this specific group of users. Expert speakers from practice and academia present best practices of assessing this demand and reflect on the impact on open data supply. Learning objectives:

Regardless of what data are used for, their quality is always of central importance. High-quality data and metadata are the essential basis for beneficial results, the functioning of business processes and informed decision making. During this training session, hosted by the data.europa academy, we will answer and discuss amongst others:

The conceptual model of data spaces provides a set of well-defined concepts, and relationships between them, as well as a set of terms to refer to them. By relying on the conceptual model, the authors of the data spaces blueprint and the broader community of practice can clearly express data space related topics.