Belfast City Council worked with local SME WeaveLabs on a collaborative urban waste pilot project that aimed to use data from bin sensors to predict how quickly litterbins fill up, and how variables such as public holidays or weather might affect this.

The pilot helped the council to better understand how litter bins are being used and how information generated could provide predictive modelling to make litter bin collections on our streets more efficient, saving resources and ensuring optimal bin collection routes. The project also helped to inform the council about suitable locations for litter bins and the appropriate types and number of bins that are needed in a particular area.

Belfast joins global ‘City Possible’ programme

Belfast has just signed a Memorandum of Understanding with Mastercard to become the latest member of its new 'City Possible' programme.

Hopper at Belfast Harbour

5G Port use cases

5G is supporting Belfast Harbour to accelerate the digitisation of port operations.

Belfast Skyline

Using machine learning to support business rates collection

We explored how data analytics and machine learning can maximise the accurate collection of business rates, as well as maintain an up-to-date register of businesses in the city.