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The possibilities for creating public/ private sector revenue generating ecosystems are vast (e.g. selling recyclables and compostable waste to the highest bidder, revenue sharing with citizens to reward participation). Concert IoT’s Service Exposure and Monetization modules make it possible to expose services to partners for further innovation such that they can be consumed in a secure access and payments/settlements charging policy enforced manner.

• Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.
• Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.

This Cluster will deploy both proven, and newly devised, large-scale Smart City and Region supercomputing predictive analytics to model regional pathways into resiliency with identification of scientific and marketplace solutions to provision and deploy the right Smart City and Region solution stacks.

AI models will include the next generation of Artificial Intelligence, including Complex Systems Simulations, Emulation, and Optimization in order to create highly efficient and robust “autonomous systems” and portfolio-scale analytics and automated services. The predictive analytics developed by Innovation Corridor’s national lab partners will be part of the initial portfolio and baseline.

The Action Cluster will develop a repository of Artificial Intelligence technologies and architectures from founders (Innovation Corridor and Powering IoT) together with eco-system partners in order to fast track the next generation of automated, resilient, cyber secure, environmentally friendly and intelligence-driven distributed systems for Smart Cities and Smart Regions. In addition, new forms of Artificial Intelligence technologies and systems will be developed within this Action Cluster such as a "Personal Digital Twin" - a personal digital avatar that will purposefully and mindfully serves each citizen within a society.

Large-scale compute intensive data sets will train Artificial Intelligence solutions prior to deployment, which will be sourced from a range of partners, jurisdictions and localities and used to refine our Cluster Artificial Intelligence predictive analytics. An eco-system of cities, regions, federal research labs, private sector technology companies and universities provide a unique framework and sandbox to support the deployment of Smart Cities enabling technologies and the provision of resiliency-based and Artificial Intelligence solutions for Smart Cities and Smart Regions.

• Once this matching mechanism matures, Taiwan’s smart city industry will be in full motion and many solutions will be quickly copied by other international cities. At that point, Taipei will become a focal point for the smart city brand and best practice model.

• turning the city into a living lab, meaning Taipei City is the test ground for innovative city solutions.
• making Taipei City government function as a platform for city stakeholders to innovate the city, rather than as a planning and directing organisation.
• turn Taipei Smart City into an independent platform, supported by multiple city stakeholders, including the government, industry partners and knowledge institutes.

This effort is also integrated into a larger national initiative called TeSA (TechSkills Accelerator) to improve the employability of Singaporeans and to meet the demand for skilled tech workforce by different industries across the economy. TeSA involves key industry and employer associations, tech companies in different sectors of the economy, key enterprise users of technology in different industries, government agencies both economic and regulatory ones, labour unions, students and professionals. TeSA is steered through a national Governing Council and various Sector Committees representing different industries. TeSA is led by the Infocomm Media Development Authority of Singapore (IMDA), with other partner agencies.

Both TeSA and talentguru AI-driven platform have been launched. New efforts are being developed and launched on an on-going basis.

The system proactively provides early notification of potential and active public safety incidents to command and control authorities. If the city deems it appropriate they then notify the appropriate first responders. By leveraging advanced analytics including machine learning technologies, the system “learns” normal patterns and detects patterns that appear abnormal. The initial use cases are limited to specific types of incidents that can be detected through video and sound sensor analytics running on edge compute devices as well as social media monitoring. As the system evolves, we expect to expand detection capabilities to detect and alert to a wider variety of incident types.

Our current solution includes technology for “lost person” identification and “vehicle identification”, to assist should an Amber Alert be issued. It also includes wrong way vehicle detection. Future plans could also include facial recognition modules or other advanced detection components and may also include more automated incident response component for greater awareness of the developing situation.

• New environmentally conscious smart city “Mobile Edge cloud-based AI platform and services” plans by upgrading used smartphones and tablet PCs to IoT things that not use anymore and kept in drawer.
• One old smart device is upgraded to IoT things and integrates with various smart services (e.g. smart transportation signals, floor type smart phone crosswalk signals, smartphone digital multi advertisement signage) communication and other edge services to Suwon city and Sejong city in Korea.

• Create a data-fusion tool for integrating heterogeneous data from various urban infrastructure and social media.
• Enhance citizen participation in urban mobility characterization using a smart phone app such as DigiTally in Tallahassee.
• Define new indices to measure mobility as a multidimensional spatiotemporal entity in the city ecosystem.

Chapel Hill already uses the OpenDataSoft platform to share public data across the town government and with citizens. This project will allow to the town to quickly and seamlessly collect, harmonize and analyze real-time traffic data through the Waze Connected Citizens Program. The Waze Connected Citizen is a free data exchange program. The OpenDataSoft platform enables the two-way free data exchange between Waze and Chapel Hill and provides tools to analyze the data and compare it with other transportation data already offered by the town.

• Leverage cutting-edge mobile software platform to empower healthcare providers to effectively extend care beyond brick-and-mortar facilities and deliver clinical support in a coordinated, data-driven, and timely manner
• Empower patients with technology to become active stakeholders in their care
• Shift from a reactive model of care (care delivery only when patient is sick) to a more proactive, continuous one (intervening sooner and keeping patients healthy through monitoring/virtual communication)
• Strengthen communities and populations by using improved access to care as a fulcrum

So we set out to create a computerized “smart system” that operates with very little human intervention and is active and available at all times. This system is able to give directions to the over 456 field controller locations and receive feedback to help calibrate the system only applying what is necessary to keep the plant material healthy and thriving. There are many horticultural aspects that go into keeping landscape healthy. Of these water is among the most critical. Knowing exactly how much water to use is impossible unless you have a way to measure output and monitor system performance. We created a method to do just that. This method is controlled from a central location and can be accessed on tablets in the field.

• Enables cities to manage and track the life cycle of pilot projects

• Saves staff time by streamlining and automating processes

• Supports interdepartmental and intercity collaboration and vendor participation

Thus, we have prepared a stepping stone for the provision of traffic signal information to the private sector in the era of automated vehicles of the 4th Industrial Revolution which had not felt concrete until now.

• Work with wireless and agriculture research and education communities as well as potential rural communities in scaling the living lab software and hardware systems as well as services

Residents need three things to overcome digital inclusion gaps: a suitable computing device, high-speed internet, and digital literacy. People with Access & Functional Needs (AFNs) cannot easily overcome the digital inclusion challenge without assistance from local governments, telecommunication providers, and corporate partners. Some AFN communities are attempting to creatively solve the connectivity challenge by retrofitting school buses and “Bookmobiles” with Wi-Fi equipment and then parking them in neighborhoods with AFN residents. In some cases, schools and public libraries are petitioning the Federal Communications Commission (FCC) to waive some E-rate rules so they can open up their networks to the surrounding community. There are some significant downsides to this approach:

• Wi-Fi coverage is limited to coverage of about 200 feet.
• Wi-Fi signals are less likely to penetrate walls and windows.
• It encourages people to gather near the hotspot & ignore social distancing.

An alternative that can provide broadband service to AFN residents in areas that are unserved or underserved by existing telecommunication networks is to enhance the 4G LTE infrastructure to provide additional coverage – specifically indoor coverage – to a broader range of locations, by building temporary wireless sites near the areas of need. Once the sites are in place, government or community groups can provide AFN residents with a hotspot, or an inexpensive smartphone to be used as a Wi-Fi hotspot. There are various configurations possible to provide broadband service to the largest number of AFN residents while keeping costs low, utilizing available equipment, and operating within legal and regulatory constraints:

• COWs, COLTs, RDSs, with local fiber backhaul
• Aerostat for coverage, with local fiber backhaul
• COWs/COLTs/RDSs, with Aerostat-based backhaul
• Aerostat for coverage, with wireless backhaul

This concept paper Wireless Networks for Distance Learning details each of these configurations, examines the pros and cons of each method, and explores funding options.

Smart Cities are %90 sociology and %10 infrastructure.