SCORE 2019

Research and development efforts into smart cities have myriad number of focus. For example, UK Department for Business, Innovation and Skills (BIS) definition: “smart cities a process rather than a static outcome, in which increased citizen engagement, hard infrastructure, social capital and digital technologies make cities more liveable, resilient and better able to respond to challenges” [1], focuses on resilience and liveability. IBM’s definition: “(Smart City is) one that makes optimal use of all the interconnected information available today to better understand and control its operations and optimize the use of limited resources” focuses on use of information available. European Commission’s definition has focus on technologies: “Cities using technological solutions to improve the management and efficiency of the urban environment.” There are also transnational and international differences between different countries and continents in terms of what makes a city ‘Smart’, or how they perceive what smart cities development requires. As the variety of perspectives highlight, smart cities development require multi-disciplinary efforts involving technologists, social/behaviour scientists, city planners, policy makers, engineers, data communication experts, and citizens, to name a few. Although on the rise, the current smart cities solutions are still maturing and not always utilising such multi-disciplinary expertise. Lessons also can be learned from the commonalities and differences in between different smart cities developments. Hence, greater benefits can be achieved by bringing together expertise from different communities, including IoT/Big Data, Policy Making, Social Science, and Citizen science with the potential application domain demands.

Time is ripe to bring together these different disciplines related to smart cities open research and form an international community to identify the major challenges and research directions. The workshop, as part of the 9th ACM Internet of Things (IoT) conference is intended to make the first step in shaping such community and providing a forum that focuses on inter-disciplinary learnings related to smart cities and enables:

  • Sharing techniques, experiences and best practices in the development, deployment and management of smart city solutions
  • Identifying potential domains and application areas
  • Designing and reflecting on different smart cities solutions
  • Identifying future research directions

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