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Demystifying Smart Cities


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Table of Contents

Chapter 1: IntroductionChapter Goal: to set the scene for the focus of the book and create interest in the subject

  • The history and future of cities
  • The smart city landscape

Part 1: Understanding smart citiesThe purpose of part 1 is to describe the basics of smart cities
Chapter 2: ConnectivityChapter Goal: describing the different ways in which the city technologies can be connected and illustrate with real world examples
  • Networks
  • Broadband
  • WiFi
  • LinkNYC
  • NYC Mesh

Chapter 3: DevicesChapter Goal: Define what is meant by devices and IoT and give examples of the practical issues and challenges managing thousands and millions of devices in a city
  • What is a device?
  • Managing a device - the power of platforms
  • Protecting a device - IoT Security
  • Developing device standards - an interagency effort

Chapter 4: DataChapter Goal: Making clear the different types of city data and how they need to be managed and secured
  • Different kinds of data Sharing data Retention of data
  • The data explosion

Chapter 5: IntelligenceChapter Goal: Putting the possibilities of Artificial Intelligence into a city context to explain key differences with application in private companies
  • Algorithmic transparency - the drive is toward transparency not the efficiency of AI.
  • Legislation about AI.
  • Political accountability - even if it is AI politicians will be accountable and understanding for AI is low
  • AI in real life - how different types of AI will play out in a city context
  • Ethics and AI - who decides the ethics?

Chapter 6: Engagement
  • In house development
  • Traditional procurement
  • Sponsored
  • Hackathons
  • Civic technology
  • Public private partnerships
  • University Collaboration

Part 2: Towards smarter citiesThe purpose of Part 2 is to be more prescriptive and offers a series of essays related to how to make cities smarter Chapter 7: "Architect with imagination" - could payphones show the way in an emergency
Chapter 8: "Make innovation a habit" - why most innovation is like low fat yoghurt"
Chapter 9: "Build the data refinery" - because cities run on data
Chapter 10: "Optimize data value not just data quality" - how to avoid another Mars Climate Orbiter disaster
Chapter 11: "Employ pragmatic idealism", bridging the ivory tower and the trenches
Chapter 12: Conclusion

About the Author

Anders Lisdorf has worked with innovative technologies for more than a decade in many different settings and industries. The last couple of years he has been responsible for developing the data services of New York City, but previously he has worked as an entrepreneur, taught at the university level and worked as a consultant.

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