AI News, Smart Cities at the Nexus of Emerging Data Technologies and You

Smart Cities at the Nexus of Emerging Data Technologies and You

That includes information management (databases), data collection (big data), data storage (cloud), data applications (analytics), knowledge discovery (data science), algorithms (machine learning), transparency (open data), computation (distributed computing: e.g., Hadoop), sensors (internet of things: IoT), and API services (microservices, containerization).

We see the human interaction with technology explicitly among the latest developments in digital marketing, behavioral analytics, user experience, customer experience, design thinking, cognitive computing, social analytics, and (last, but not least) citizen science.

These “citizen science” projects are not just for citizens who are untrained in scientific disciplines, but they are dominated by professional and/or deeply skilled data scientists, who volunteer their time and talents to help solve hard data challenges.

By combining this technology convergence (data science, IoT, sensors, services, open data) with a difficult societal challenge (air quality in urban areas) in conjunction with community engagement (volunteer citizen scientists, whether professional or non-professional), the U.S. Environmental Protection Agency (EPA) has knitted the complex fabric of smart people, smart technologies, and smart problems into a significant open competition: the EPA Smart City Air Challenge.

The resulting data sets will help communities to understand real-time environmental quality, what are the driving factors in air quality change (including geographic features, urban features, and human factors), to assess which changes will lead to better outcomes (including social, mobile, transportation, energy use, education, human health, etc.), and to motivate those changes at the grass roots local community level.

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