Leeds Beckett University - City Campus,
Woodhouse Lane,
LS1 3HE
Computing Technologies and Human Aspects research cluster
A large-scale demonstration of how cities can use Internet of Things (IoT) technologies for smarter living.
Leeds Beckett University has secured funding of more than €770,000 as part of a €15 million European Commission funded project called MONICA - which stands for "Management of Networked Internet of Things (IoT) Wearables – Very Large Scale Demonstration of Cultural Societal Applications".
This funding was secured through the HORIZON 2020 Framework Program for Research and Innovation (Grant Agreement No 732350).
The MONICA project is a large-scale demonstration of how cities can use IoT technologies for smarter living. The demonstration involves six major cities in Europe - Lyon (France), Hamburg (Germany), Bonn (Germany), Turin (Italy), Leeds (UK), and Copenhagen (Denmark) - from 2017 to 2020. It will involve more than 100,000 application users in total, out of which, 10,000 will participate in the evaluation process.
IoT technologies are making their way into our lives in many useful ways. For this project, they'll be used to monitor cultural events - exchanging real-time, site-specific information from those events will then allow them to then instigate appropriate actions.
IoT technologies can be used for:
IoT-enabled devices are versatile and can be:
Working with 29 partners from nine European countries, the Leeds Beckett University team is responsible for the project impact assessment, socio-economic relations and business models. We’ll ensure the involvement of citizens and businesses and make sure that MONICA impact activities are well communicated.
Our contribution also includes transferring users’ needs into technical requirements for IoT applications. We’ll look at this in term of functionality, performance, scalability and interoperability (the ability of computer systems or software to exchange and make use of information).
We’ll also be involved in the development of the IoT algorithms responsible for the improvement of the safety and security of both event staff visitors.
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