Slow Data in the Age of the Smart City

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Cities stand to benefit from ever-increasing technological advances. Digital information is helping solve our most pressing urban challenges. Yet the rising level of data we are now capable of generating can obscure the original intention and purpose of this work if we don’t stay mindful of the social dynamics at play by engaging with the people that are meant to benefit from it.

Smart and connected technologies embedded across city infrastructures can help monitor, anticipate and manage urban issues in new and effective ways. From spotting economic trends and improving health to combating crime and optimizing traffic flows, intelligent infrastructure has the potential to help us make more informed decisions for solving some of the greatest issues that cities face.

Much of the optimism surrounding intelligent infrastructure, however, relies on concepts that can be easily misunderstood or overhyped, particularly those related to smart buildings and smart cities such as the Internet of Things (IoT), artificial intelligence (AI), and Big Data. “Smart” should be understood not as something that you simply install as an add-on; rather, it is an enabler of larger outcomes, something that requires human intervention and implementation. To really get the most out of these technologies, in other words, we first need to take a step back — and maybe even slow down.

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