Smart services are deeply embedded in modern cities aiming to enhance various aspects of citizens' lives, including safety, wellness, and quality of life. Examples include intelligent traffic control and air quality control. Given these services, monitoring a city's safety and performance collectively is crucial, yet also challenging due to many potential conflicts among the number increasing of services deployed. Researchers have accumulated abundant knowledge on how to design these services independently.

The goal of this project is to further the ability of cities and communities to deploy technology that saves lives through safer transportation systems. The approach is to create open source analytics solutions to enable novel transportation applications that utilize data from low-cost video sensors. Video data are processed using edge computing (inexpensive computing hardware that performs analysis without storing significant amounts of data) in order to reduce the amount of data stored.

The National Science Foundation supports a wide variety of valuable technical and social civic innovation through its CIVIC Innovation Challenge and Smart and Connected Communities. While many of these

Texas coastal communities have historically been exposed to environmental threats from natural and industrial sources. In Ingleside on the Bay (IOB), a small, rural community situated along the shoreline of Corpus Christi Bay, tropical storms and high rates of relative sea-level rise cause extreme and nuisance flooding, while industrial expansion is placing stress on the community’s way of life and the natural resources upon which it relies.

Detained youth are a population that experience disparities in educational opportunities and in particular, have systemically fewer rich opportunities for STEM learning. Access to educational resources and STEM learning for detained youth are critical to position them to have marketable employment skills and potentially contribute to the STEM workforce of the future.

Lack of participation in the digital economy is an impediment to societal well-being and production which asymmetrically affects rural communities. The literature indicates that technological availability (e.g., broadband) is only a part of the problem: rural communities are not as active as their urban counterparts in technology adoption.

The breadth of artificial intelligence (AI) applications has grown significantly, particularly over the last decade, increasing productivity and efficiency across numerous sectors. Cities have become the primary sites of data collection and algorithm deployment, but the professional field of urban planning lacks a comprehensive evaluation of how AI can/should be used to improve analytical processes.

United States prisons exist in geographically bounded, technologically disconnected communities. Restrictions on services and isolation from the outside world, including lack of access to digital devices and the internet in prisons, has restricted prisoners’ opportunities for education and healthcare, has limited their future work and career prospects, and has reinforced divisions between incarcerated people and their communities.

Today we are entirely dependent on centralized infrastructures (aka Cloud) for pretty much all our everyday activities such as online education, neighborhood apps, access to driving directions, and restaurant suggestions in a neighborhood. This reliance on the Cloud has serious implications. Most importantly it is one of the primary causes for the increasing digital divide between the affluent and under-served communities.