Local Digital Twins Procurement Workshop (2nd)

The Support Services for EU Smart Communities project assist early stage and scaling EU cities and communities in developing their digitalisation strategy and roadmap, identifying the necessary digital tools and accessing EU digital expertise.

Living-in.EU Technical Working Group Meeting

The approaching summer holidays also mark the end of the MIMs Plus Version 7 development cycle. As such, the Living-in.EU technical working group gathers to review the updated MIMs Plus by the respective MIM working groups. Members are encouraged to comment, raise concerns, and request regarding ongoing and future work. We will also take this occasion to present the call for smart communities data space pilots, an occasion to see the MIMs plus at work! 

 

DS4SSCC Call for Pilots: Info Session

The European Data Space for Smart Communities launched its first round of Call for Pilots on 1 June and it is organising its first Online Info Session on 12 June.

This Info Session will allow participants to get introduced to the overall framework of the DS4SSCC Call for Pilots, the pilots support activities as well as the monitoring of their progress and impact. The session will conclude with a Q&A session.

Call for Pilots (Round 1) was launched on 1 June (9:00 CET) and will be open for submission until 31 August 2024 (23:59 CET).

Data Spaces for Smart and Sustainable Cities and Communities (DS4SSCC) Blueprint

Published:27 May 2024

The blueprint for a data space is a detailed plan that outlines the structure, governance, and technology needed to create, manage, and utilize a shared data environment. Data spaces are collaborative ecosystems where data can be exchanged and used among various stakeholders in a secure, interoperable, and efficient manner. 

The DS4SSCC blueprint for smart and sustainable cities and communities has a non-technical and a technical part.

The non-technical part includes:

Minimal interoperability Mechanisms (MIMs) Plus

Published:23 May 2024

This document contains the technical specifications of the Living-in.EU (LI.EU) upscaling declaration initiative and is based on existing minimal interoperability mechanisms (MIMs) plus some additional fundamental building blocks – hence the name: MIMs Plus.

Technical Common Grounds for Smart & Sustainable Cities' Data Spaces

Published:22 May 2024

Since September 2022, European data spaces initiatives have been collaboratively defining the technical building blocks for data spaces across various domains. In partnership with the Data Spaces Support Centre (DSSC), this collaborative effort, has successfully identified and integrated common grounds for technical standards and software implementations presented during the event.

DSSC Insight Series - Governance for Data Spaces

Published:22 May 2024

The webinar "Governance for Data Spaces" tackled the significance of effective data governance in smart cities and communities. The event, part of the DSSC Insight Series, was co-organized by DS4SSCC, DATES, PrepDSpace4Mobility and GREAT, collaborative projects funded by the European Commission. The webinar aimed to bring together stakeholders involved in data governance to discuss governance approaches and share experiences in managing data spaces. 

DS4SSCC Training Hub

Published:22 May 2024

The Training Hub, developed by the Data Spaces for Smart & Sustainable Cities and Communities project, stands as a cornerstone initiative offering concise video lessons and supporting materials. Tailored for public managers, practitioners, and stakeholders, this program comprises four essential lessons:

Legal implications of the Artificial Intelligence Act for cities, regions, and communities

Background

The Artificial Intelligence Act is the first-ever comprehensive legal framework on AI worldwide. The aim of the new rules is to foster trustworthy AI in Europe and beyond, by ensuring that AI systems respect fundamental rights, safety, and ethical principles, and by addressing the risks of very powerful and impactful AI models. Adopting a risk-based model, the AI Act categorises AI systems as posing either unacceptable, high, or minimal risk.

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