Smart Cities and Communities

The long-term vision of the project is to help municipal leaders strengthen their ability to collect, use, and share data in a responsible manner. This will help grow privacy-preserving innovations across applications and geographic boundaries for the public good. In this way, the Smart Privacy for Smart Cities Spoke will serve to increase public knowledge, understanding, and engagement with privacy-related concerns, and ultimately, to promote the public’s trust in smart city technologies and in their local government.
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preventing-car-crashes-with-big-data-analytics
The biggest challenge the DOT faces is fatal crashes. To understand why fatalities are on the rise, the DOT has started working with the private sector to bring more data to the table. Read to learn how the private sector is assisting in this effort.
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This project aims to increase our understanding of the merged data collected from physical systems in order to better understand how energy flows through grids, how to prevent emergencies such as blackouts and brownouts, and how to improve asset management and increase energy efficiency.
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The purpose of this workshop is to collect practitioner input into the challenges surrounding the use of data coming from distributed sensors in the context of smart cities and smart campuses.
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On August 26 and 27, programmers and software engineers convened in Orlando to push the boundaries of creativity, innovation, reality, and technology to build solutions and concepts that have the potential to make a difference in the Orlando community. Called the Orlando Smart Cities Hackathon, the event aimed to support the city of Orlando in its efforts to become a smart city and also to demonstrate the city’s capabilities as it works to earn the title of “The Smartest City.” Orlando received two smart cities grant awards and is pursuing a variety of additional funding opportunities for smart cities initiatives that would help to enhance transportation citywide and beyond. In these pursuits, the city continues to move forward with building a data-driven infrastructure that will support safer, cleaner, and more efficient travel and an improved quality of life. 
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During the second South Big Data Hub Smart Cities community call, Daniel Morgan, chief data scientist for the U.S. Department of Transportation (DOT), addressed what he sees as the DOT’s biggest data challenges.
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