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2       Why smart matters


            While population growth is slowing, it has not yet peaked and it is expected that cities will have to
            accommodate many more people. At the same time, we need to preserve or use wisely what is left
            of the planet’s resources, to reduce the effects of climate change, and learn to live harmoniously,
            while adapting to challenges like the recent global threat to health. It is important to find ways
            to turn cities into more sustainable, intelligent, but also inclusive spaces, where people are at the
            centre of city development.

            The challenge, when it comes to addressing city problems, is that cities are complex systems
            with many subsystems. They are “complex systems whose infrastructural, economic and social
            components are strongly interrelated and therefore difficult to understand in isolation”.  Cities are
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            particularly complex because they include “intelligent agents”, in the form of people, who choose
            how to live in the city and they each respond to situations in their own way. This makes it difficult to
            predict the outcomes of city interventions. It also means that what works in one city may not work
            in the next. As a result, there are no “best practices” that can be recommended.

            For cities to tackle the new and old challenges they face requires experimentation with new
            approaches and technologies. It also requires cities to share their ideas, attempts, successes and
            failures. To effectively change complex adaptive systems, including cities, requires many small
            interventions with constant feedback loops to detect the impacts. Smaller changes, carefully
            observed, make sense because they are easy to adjust; to scale back or ramp up as the impacts
            are observed.
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            Harnessing simple, smart solutions, taking advantage of technological development such as artificial
            intelligence, machine learning, mobile computing, cloud computing and Internet of Things, can
            help cities to better understand their problems, to design and test smart interventions, to track in
            real-time the impact of those interventions, to scale up the things that work and to quickly put an
            end to those that don’t. Finally, developments in communication make it possible for cities to share
            what they learn, as they learn it, with other cities and with the people in them.



            2.1     What is “smart” depends on the context

            While cities face some common challenges, they face different challenges too, and they have
            different resources at their disposal. Many cities face a backlog of issues to address, including
            growing inequality, climate change impacts, corruption, crime and similar intractable problems.
            Solutions to these challenges need to be highly contextual. This does not mean that cities can’t learn
            from each other, but that all smart interventions need to be adapted and trialed for effectiveness
            in new contexts. Some examples of contextual differences are:











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