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.

NI’s first public data panel launched

Northern Ireland's first public data panel will work with citizens to consider how data is used in research, innovation and decision-making in Northern Ireland.  

Sport cyclist on bike on country road

iPedal intelligent city cycling pilot

Cycling is a key solution to urban mobility. More cyclists means less commuters, reduced congestion and pollution while increasing the health and happiness of our citizens. Knowing more about cycling behaviour can help planners make our city more welcoming to cyclists.

HMS Caroline

Voyage AR – HMS Caroline Augmented Reality Experience

A new augmented reality experience highlighting HMS Caroline’s heritage.