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Who wants to live in a Smart City?

July 22, 2019
The antennae and boxes, about the size of a handbag, have become more visible in New York over the last few years. They sit atop street lights, buildings, and other convenient locations. They are part of the ShotSpotter system and they listen for gunshots. When a shot is fired, the sensors can triangulate its location to within 25 metres. It then immediately sends an audio file to a support team. A review takes place using both machine learning and human input to determine if the sound was a real gunshot or something else that sounds similar, such as a firework. If determined to be real, the police are notified. They can then arrive at the location already knowing how many shots were fired and whether the shooter is moving. Luke Templeman, Analyst on the Thematic Research team, explores what it would be like living in a ‘Smart City’. [more]

More documents from Luke Templeman

62 Documents
October 26, 2020
2
The trend towards 'localisation' leaves few easy options for large companies. Their huge advantage from global supply chains and businesses, built up during the last few decades of globalisation, may unwind unless they adapt to local- or multi-local business models. The urgency to adapt has been turbocharged by covid-19. [more]
September 18, 2020
4
The widening generational divide should be a key source of alarm for investors, financial markets and society as a whole. Young people perceive themselves as the losers on issues ranging from housing to climate change to student debt. In turn, this anger is manifesting itself into political outcomes, with elections around the world increasingly fought along generational lines. [more]
September 16, 2020
5
The widening generational divide should be a key source of alarm for investors, financial markets and society as a whole. Young people perceive themselves as the losers on issues ranging from housing to climate change to student debt. In turn, this anger is manifesting itself into political outcomes, with elections around the world increasingly fought along generational lines. [more]
June 26, 2020
9
Machine learning, with all of their processing power, they’re able to more quickly highlight or find patterns in big data that would have otherwise been missed by human beings. Machine learning is a tool that can be used to enhance humans’ abilities to solve problems and make informed inferences on a wide range of problems, much wider than financial services for example helping diagnose diseases to coming up with solutions for global climate change. [more]
June 4, 2020
11
While history shows us that it can take over two years for an aviation demand shock to return to normal, many people now forecast a permanent drop in travel, particularly for business. We argue business and personal travel will remain, however, the way people book will change the transport industry. [more]
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