The event, which was hosted by the Computer Science Department at Queens University, is part of an EU funded project looking into a number of transport issues. Event organiser and judge Aidan McGuire from The Sensible Code Company hailed the event a great success. “We'd like to thank Queens University for hosting the hackathon and providing access to their fantastic facilities. A thank you should also go to Code4Good for their help and support over the weekend. All the teams put forward some very innovative ideas and we hope that these will provide some inspiration for transport service design and delivery moving forward”.

The overall winner, Sydenham Studios, introduced “Travelling Tim” with the aim of getting more people to use public transport, lower congestion in Belfast and make transport data easier to use. The team was presented with €3000 Amazon vouchers with an invitation to present their winning entry to the TIMON project partners. Hugo Landaluce Simon from DeustoTech-Mobility at the University of Deusto a Timon partner and judge explained “It was a hard choice for the judges since all the contributions were very attractive and all of them deserved a prize. Both the overall winner and the entry in the best TIMON application presented an original and interesting layer of interaction between the users and the TIMON application.”

Russell Kane of Queens University said “The School of Electronics, Electrical Engineering and Computer Science in QUB were delighted to host this interdisciplinary European Transport Hackathon following the success of our numerous previous Hackathons. It was another inspiring weekend of ideas generation.”

While the event focused on transport data, Aidan McGuire CEO of Sensible Code Company went on to draw attention to the importance of data protection:

“Systems such as Timon and other opendata sources need to pay special attention to data privacy. Keeping data safe and secure is paramount as we move to more integrated transport systems where publication of what might on the surface appear to be safe datasets could still reveal individual or group travel routes and so infringe privacy legislation”.

The TIMON project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 636220