MOOC: Unlocking the potential of Digital Twins for sustainable on-demand urban logistics
LEAD is launching its MOOC, open to all those interested, with the goal of “Unlocking the potential of Digital Twins for sustainable on-demand urban logistics”.
LEAD is launching its MOOC, open to all those interested, with the goal of “Unlocking the potential of Digital Twins for sustainable on-demand urban logistics”.
The training - Module 1 "Understanding Living Lab Concepts and Co-creation" - was organised on 16th March 2023 online by the European Network of Living Labs as part of the ALL-Ready project. The training targeted the members of the ALL-Ready Pilot Network and provided them with an overview of Living Lab Basics, Governance Models, and the Business Models of Living Labs. The trainers shared with participants insights into the principles, methodologies, and tools that can be used to effectively enact Living Labs' open innovation in agroecology.
Living Labs represent a dynamic and user-centered approach to innovation, combining real-life and simulated environments to promote co-creation and collaboration. These ecosystems bring together multiple stakeholders, including academia, industry, the public sector, and civil society, to address complex challenges. By employing iterative processes and systematic methodologies, Living Labs enable the design, testing, and evaluation of innovative solutions tailored to user needs and specific contexts.
The EPIC platform combines the industrial strength of IBM’s ‘Smart City’ vision and cloud computing infrastructure with the knowledge and expertise of leading European LL’s and municipalities such as iMinds iLab.o, ISSY-Media and Manchester to ensure the development of a European ‘innovation ecosystem’ that provides an extensive range of opportunities for sustainable, user-driven web-based services for citizens and businesses.
Course details
This course aims to provide a solid understanding about software licensing and licence types, before looking in detail at open license types, their benefits and how they contribute to software and data interoperability.
Target audience
This training course, hosted by the data.europa academy, provides an introduction to geospatial data. It provides examples to demonstrate the usefulness of geospatial data. It is an important feature of data.europa.eu to facilitate the discovery and access to open geospatial data sources. Questions that are discussed: - What is geospatial data (e.g., topics, thematic domains) and is it available via data.europa.eu? - Where does the geospatial data found on data.europa.eu come from? - How can geospatial data be found on data.europa.eu? - How can the geospatial data be accessed and used?
This course provides a solid understanding about interoperability, including the need for it, the interoperability environment at high level and the respective initiatives of the European Commission. The course also gives insights on the opportunities that can be leveraged to identify the appropriate interoperability modules for the implementation of the services reusing existing interoperable solutions.
In this webinar, the expert in Data-Driven Government Clémentine Valayer from Gartner Consulting and special guests Ricardo Vitorino from Ubiwhere speaking about the City of Guimarães, Albert Engels and Bart De Lathouwer from the city of Rotterdam and Andraž Logar from 3fs speaking about Smart Mlaka share insight on:
In this webinar, we discuss various data challenges experienced by cities, with a particular focus on three PoliVisu pilots: Ghent, Mechelen and Issy-les-Moulineaux. Representatives of local and regional administrations speak about the issues they faced and how they addressed them using the PoliVisu solution.
The use of artificial intelligence to improve efficiency is prevalent across almost every industry, none more so than the world of healthcare.
In this course, you’ll learn how to join the discussion on the potential of AI in healthcare in a useful and realistic way.
With the help of teachings from leaders in AI healthcare, you’ll build your knowledge and confidence in key areas of AI healthcare before learning how to implement it into your own workflow.