Projects

MetroLab Network’s cities and universities are partnering on research, development, and deployment (RD&D) projects to address challenges facing urban areas: inequality in income, health, and opportunity; environmental sustainability and resiliency; and aging infrastructure.

 

If you are a MetroLab Network member and have new projects or edits to existing projects, please use the Project Add/Edit Form.

 

To see additional information on these projects, please take a look at the Project Library.

Project NameShort Project Description (250 Words)Local Government(s) InvolvedUniversity/Universities Involved
Rosslyn Transportation CharacteristicsThis project will focus on developing “smart city” protocols for the County to make informed decisions about planning and operational investments in dense urban areas. The goal will be to collect and analyze transportation data of intersections in the Rossyln community to include the Rossyln Metro Station. This analysis will test the effectiveness of individual data collection methods for use in real-time applications, as well as expansion into other areas of Arlington County.Arlington County (VA)Virginia Tech, National Capital Region
Engineering Smart Cities Capstone Design ProjectsThis project will launch a two-semester senior capstone design project program offered by the Tech Electrical and Computer Engineering (ECE) department. Faculty from the National Campus Region and from the Blacksburg campus will mentor teams to complete a sizeable hardware, or hardware-related software project sponsored by industry or a faculty member. The goals will be to improve sensing and control of infrastructure and increase building energy efficiency and environmental quality in the County. Students will have an “industry–like” experience emphasizing technical, management and professional development in the Smart County/IoT technologies space.Arlington County (VA)Virginia Tech, National Capital Region
Community LearningToday’s data revolution provides the opportunity for community programs, departments, and agencies to create an integrated community learning environment and to benefit from cross-departmental sharing of data, ideas, and interventions. The Virginia Tech pilot project is working with government leaders in Arlington County to plan and demonstrate the feasibility of a scalable “Community Learning” framework throughout the state of Virginia. The first phase of the project developed a sustainable data framework that encapsulates a general approach for re-purposing data, from discovery to analysis to inference. This framework links not only government administrative data sources, but data sources from the web, social media, mobile applications, commerce, and geographic information systems. In the second phase, government leaders were brought together for a Data Discovery Workshop to identify and define those issues that keep them awake at night and to identify the data sources that can provide insights into these issues. The workshop was structured to breakdown the boundaries across governmental bureaucracies through a dialogue process used to identify issues and data sources that span their boundaries. The collaboration with Arlington has continued in the next phase, which involves the scientific method, hypothesis generation, and employing the principles of experimental design to define interventions that are data-driven and evaluated using data as evidence.Arlington County (VA)Virginia Tech, National Capital Region
Cycle AtlantaCycle Atlanta is an open-source application developed by Georgia Institute of Technology in partnership with the City of Atlanta, Atlanta Regional Commission and Atlanta Bicycle Coalition. The Cycle Atlanta app allows individuals to track their bike routes in Atlanta and allows City sand Georgia Tech staff to use the collected data for research, transportation planning, implementation and evaluation. The collected information gives an adequate picture of current cyclist routes and enables decision-making for infrastructure improvements in the city. The application gathers demographic and route analysis, infrastructure analysis, and stress analysis, thereby informing infrastructure planning. The app also allows users to see their routes in real time and to see aggregated data to plan safe routes to their destinations.City of Atlanta (GA)Georgia Institute of Technology
MAPPD - Multi-array Phased Participatory DeploymentIn July 2016 Georgia Tech and the City of Atlanta began phase one of the Multi-Array Phased Participatory Deployment, or MAPPD, with its first sensor box in Atlanta’s North Avenue smart city testbed.

MAPPD has four key features:

Phased: By progressively releasing sensors, MAPPD increases opportunities for in-action learning, community engagement, and continuous improvements, while reducing the implementation burden for participants and stakeholders.

Interoperable: To deliver a Smart City that integrates many systems into meaningful insights for communities and decision-makers, MAPPD takes an “interoperability first” approach, privileging concerns of integration, resiliency, and sustainability.

Public and Participatory: As a part of a deep commitment to Atlanta’s citizens, MAPPD includes community engagement workshops that refine systems, align stakeholders, and integrate the needs and aspirations of residents.

Open: Economic development considerations underlie the technical and social features of MAPPD. Through policy recommendations, MAPPD supports open access to data and open innovation opportunities for businesses.
City of Atlanta (GA)Georgia Institute of Technology
PARSE - Participatory Approaches to Researching Sensing EnvironmentsThis project, PARSE, advances an empirical and systematic understanding of the design and use of IoT (Internet of Things) technologies for enabling, organizing, and monitoring collective action in cities. The project explores the issues and opportunities of Civic IoT through ethnographic methods together with prototyping, implementation, deployment, and assessment of IoT systems, across multiple sites, each with distinctive communities. In Atlanta the project examines the deployment of a city-wide sensor array and explores low-fidelity sensors in urban foraging, and conducts community engagement workshops in conjunction with the MAPPD project. The research outcomes include: structured assessment of IoT prototype systems, qualitative data and ethnographic reports from collaborations with communities involved in the design and use of IoT for public life, and empirically informed design guidelines.City of Atlanta (GA)Georgia Institute of Technology
Predictive Community Risk ReductionPredictive Community Risk Reduction – the process of identifying safety risks followed by coordinated actions to minimize their occurrence and impact – has been shown to be effective in dramatically reducing fires abroad. The City of Atlanta is partnering with Georgia Tech, Georgia State and Experian Marketing Services (as part of Experian’s Data for Good Initiative) to conduct in-depth data analytics, experimentation and visualization to help predict future fire incidents, and develop a comprehensive train-the-trainer program to teach firefighters how to conduct home fire safety visits to effectively change high risk behaviors and reduce fire risks.City of Atlanta (GA)Georgia Institute of Technology, Georgia State University Public Safety – Atlanta Fire & Rescue (AFR)
Predictive Policing Analytics & Video Integration CenterIn this project, Georgia State University faculty will help public safety professionals predict where and when crimes may occur by monitoring crime patterns. Faculty will help the Atlanta Police Department with the use of analytics and video technology, leading to more efficient allocation of police department resources.City of Atlanta (GA)Georgia State University
Open Data Transportation PortalThis project will install volume count stations, travel time sensors, and communications platforms to pedestrian hybrid beacons to collect traffic data. The City will partner with the Center for Transportation Research (CTR) to establish a shared repository for this data collection to include plans to mitigate cyber security risks. The goal will be for the CTR to utilize computing resources at the UT-Texas Advanced Computing Center to conduct data analysis and develop technologies and processes to share data across platforms and with users.City of Austin (TX)University of Texas at Austin
Transportation Management Center EffectivenessThis project will allow improve functionality of the City’s Transportation Management Center (TMC) that addresses real-time traffic issues, special event plans, construction plans with traffic impacts, etc. The goal will be to transition to expanded operations, partner with regional transportation partners and implement a traveler information service. The CTR will measure operational and infrastructural metrics, the effectiveness of traveler information programs and the performance of intelligent traffic systems. The City of Austin and the CTR will partner to identify areas and steps for improvement as a result of these metrics.City of Austin (TX)University of Texas at Austin
Data-Driven Transportation Demand Management ProgramThis project will allow the City of Austin to use the Portal’s traffic data to evaluate current gridlock issues. The goal will be to devise data-driven programs to address long-haul/commuter trips, identify key demand locations, first mile/last mile services, etc. Data-driven solutions will allow the City to focus resources on high-yield solutions and partnerships with public and private entities, as well as with individual citizens.City of Austin (TX)University of Texas at Austin
Baltimore Cultural Resources Acquisition ProjectThis project will establish and maintain an Inventory of Historical Places (IHP) in Baltimore. In September 2015, the Mayor signed into law City Council Ordinance 15-0529, reauthorizing and reconstituting the Commission for Historical and Architectural Preservation (CHAP). The ordinance requires that the CHAP Executive Director to use the IHP to identify areas or structures that, while not designated as potential preservation districts or landmarks, are nonetheless historically or architecturally noteworthy. The goal will be to create a partnership between the university and CHAP to manage and update the IHP, using the inventory forms to create a master database. As part of this effort, the project will also inventory potential future archaeological efforts, identify their location and provide a summary to be used in local urban planning, economic development, tourism-related projects, and academic research.City of Baltimore (MD)University of Baltimore
Baltimore Falls Reduction Initiative Engaging Neighborhoods and Data (B'FRIEND)This project will track, map and analyze electronic health data on emergency room and hospital care for the elderly in Baltimore. Founding partner Center for Government Excellence (GovEx) will support the principal investigator and project team who will use data collected by the State of Maryland to develop risk scores for older adults experiencing a fall requiring hospitalization. The goal will be to map this data across the city, allowing health officials to develop tailored, community-based interventions for city areas with high-risk scores. The overall B’FRIEND initiative is led by the Baltimore City Health Department.City of Baltimore (MD)Johns Hopkins University
Open Data Master PlanThis project will develop an “Open Data Master Plan” to focus on meaningful and sustainable outcomes in driving open data policy. GovEx and the City of Baltimore will provide coaching and technical assistance to: identify additional data sets that can be used to track and monitor key mayoral priorities; highlight additional agencies to add to the existing data portal; provide guidance to incorporate stat measures and analysis into planning, budget, funding, policy, and management decisions; facilitate discussion with key city and department leaders to build internal champions of open data and make open data a valuable core asset; and engage the community to discuss issue prioritization. This project relates to the “Expanded CitiStat Program” project proposal from the University of Baltimore.City of Baltimore (MD)Johns Hopkins University
Urban Water Mitigation ProjectThis project will partner the University of Baltimore with the City of Baltimore Department of Public Works (DPW) to extend its work on urban waters mitigation initially supported by a 2015 EPA grant. The goal for the partnership will be to focus on the DNA-based technique of differentiating fecal contamination sources (human vs. non-human) and quantify the amounts. The partnership will also monitor the efficacy of projects to reduce specific fecal contamination by pre- and post-implementation measurements and use this technology in partnership with UMCES/IMET.City of Baltimore (MD)University of Baltimore
Expanded CitiStat ProgramThis project will expand University of Baltimore’s CitiStat Program to develop a predictive analytics platform. The goal will be to use both trend analysis and geographic information systems to assess locational or diffusion patterns of criminal activity, storm water backups, public health/epidemiological issues, and city services delivery. The university will collaborate with its CitiStat managers to engage citizens in the data visualization techniques and analyses by using a wiki-module for collecting, analyzing and displaying new forms of data. This project relates to the Johns Hopkins University’s Open Data Master Plan.City of Baltimore (MD)University of Baltimore
Broadband Report CardThis project will implement a city-wide broadband report card to quantify progress and provide a benchmark to measure the City’s progress compared to other cities. GovEx, with its broad network of cities and experience developing performance metrics, will support a cross-disciplinary JHU team to identify data sources, develop metrics, and visualize progress on broadband access, affordability, utilization, and quality.City of Baltimore (MD)Johns Hopkins University
Video Analytics Towards Vision ZeroAccording to the World Health Organization, over 1.2 million people die each year on the world’s roads. Despite the massive societal impact, many governmental agencies rely on traditional traffic safety approaches intervening only after enough police crash reports are filed to trigger a High Crash Corridor designation. This reactive approach to preventing crash recurrence has well-documented limitations; notably, due to the random and rare nature of crashes, a minimum of five years of data is often required before an intervention analysis is triggered. As a Vision Zero city, Bellevue regards this status quo as unacceptable; no level of fatality or serious injury on city streets is inevitable or acceptable and we should not wait for crashes to accumulate before implementing corrective treatments. Consistent with its Vision Zero policies, the City of Bellevue is committed to generating better data on travel behavior, patterns, crashes, and conflicts and developing collaborations with others in the public and private sector to make our intersections smarter and safer. In recognition of the opportunities to enhance traffic operations and public safety, the City of Bellevue entered into a technology development partnership with Microsoft and the University of Washington. The video analytics platform we are developing leverages cloud computing and machine learning systems to convert raw video footage from the City of Bellevue’s existing camera network into useful data that can be searched, managed, and used to provide detailed information on traffic flow and allow a more rapid response to non-crash traffic conflicts.City of Bellevue (WA)University of Washington
Improving Bike Safety in BostonIn Spring 2013, Dahianna Lopez, a PhD student at Harvard’s School of Public Health, received a BARI Urban Doctoral Fellow to work with the Boston Police Department to analyze reports of collisions involving bicyclists. The analyses formed the basis of the City’s inaugural “Boston Cyclist Safety Report,” released in May 2013 in conjunction with a variety of efforts designed to reduce the number and frequency of accidents involving bicyclists, and a public, interactive map, hosted by BARI, where visitors can explore and download the data. BARI received a Commendation from Boston Police Commissioner William Evans and was named Community Partner of the Year by Boston Bikes for its part in the work.City of Boston (MA)Harvard University
Maintaining the Urban Commons: Examining Patterns of 311 RequestsBoston’s flagship project has been to examine constituent usage of the City of Boston’s 311 system, a telephone hotline and associated online tools by which constituents can request basic city services. This project has leveraged an extensive database of 311 requests to pursue a variety of directions, including: custodianship, or how neighborhood residents contribute to the maintenance of urban spaces; how engagement differs across individuals and neighborhoods; how the design and implementation of tools for 311 and related services influence constituent usage; and how the city might further innovate on the 311 system to reach as much of the city as possible. It includes collaborators from the Mayor’s Office of New Urban Mechanics, the Department of Innovation and Technology, the Office of Neighborhood Services, and faculty from Northeastern University, Harvard University, and Emerson College.

Watch Video: https://www.youtube.com/watch?v=MqEXDzlCltw
City of Boston (MA)Northeastern University, Harvard University
What Does a Successful School Choice System Look Like?In 2014 the Boston Public Schools (BPS) implemented a new school choice and assignment system that they have since sought to evaluate in collaboration with faculty from four local universities (Harvard University, Northeastern University, Boston College, and Tufts University). The focus of this project has been on the different definitions of “fairness” and their realization. Early stages of the project have used records of family choices submitted to the lottery to analyze the factors that determine school preferences, and further efforts will combine administrative data with in-person surveys to examine how these preferences shifted with the new lottery and assignment system, and the implications of this for families, schools, and neighborhoods.City of Boston (MA)Harvard University
Aggregating and Anonymizing Compensation Data to Evaluate Wage InequalityThe Boston Office of Women’s Advancement is leading a unique public/private partnership to achieve pay equity between working men and women in Boston. Private sector employers, from Fortune 1000 to small businesses, have voluntarily pledged to close the gender wage gap by implementing evidence-based interventions and providing anonymized, aggregated pay data to enable baseline analysis and ongoing tracking. A team from the Boston University Rafik B. Hariri Institute for Computing and Computational Science & Engineering, led by Professor Azer Bestavros, partnered with the City of Boston to design and implement a multi-party computation protocol enabling individual employers to preserve privacy while providing aggregated compensation analytics for benchmarking and tracking. Designed on a web-based infrastructure, the application allows cooperating parties to combine data for aggregate analysis without revealing sensitive individualized information.City of Boston (MA)Boston University
"Seeing" Boston Neighborhoods Through Administrative DataModern administrative data—from 311 and 911 calls to building permit applications to Tweets—offer a detailed view of events and conditions across the city. BARI and the City of Boston have sought to capitalize on this opportunity by developing methodologies that translate these data into ecometrics, or measures of the physical and social characteristics of neighborhoods. This “big data” approach to a classic urban science technique in has the potential to be more precise and cheaper than traditional survey and observational protocols, and has generated an extended library of ecometrics, including measures of: “broken windows,” or physical disorder; civic engagement; social disorder and crime; medical emergencies; and growth and investment. These measures are now available for research, use in city dashboards, and available for public download through BARI’s Boston Data Library.City of Boston (MA)Northeastern University/Harvard University
The Street Bump System: Classifying & Prioritizing Roadway ObstaclesThe Boston Mayor’s Office of New Urban Mechanics and Boston University sought to improve the efficiency and accuracy of the City’s Street Bump iPhone application, intended to crowd-source the location of potholes and other “bumps” on city streets. The app harnesses a phone’s accelerometer and GPS recorder to register and locate roadway obstacles, but false positives and non-actionable obstacles like speed bumps and cobble stones presented early challenges. The Boston University team, led by Christos Cassandras and Ioannis Paschalidis, Professors of Systems Engineering and Electrical and Computer Engineering, developed anomaly detection and classification algorithms to sort roadway obstacles into predefined categories and used an “anomaly index” to prioritize those requiring immediate attention. Capitalizing on this algorithm, the team helped to minimize false positives and discern between actionable and non-actionable obstacles, improving the utility of the app as a short and long-term planning tool for Boston’s Department of Public Works.
City of Boston (MA)Boston University
Climate Action ChallengeThis project will encourage University faculty to work on development and application of technologies, innovations and tools that help the City address emerging energy and sustainability issues. The goal will be to target City and University resources towards addressing challenges in energy efficiency, transportation and smart city information technologies. The project will build on existing partnerships established through the Renewable and Sustainable Energy Institute (RASEI), ATLAS Institute, the Sustainability Innovation Lab (SILC), and other units of the University.City of Boulder (CO), City of Boulder (CO)University of Colorado
Inclusive BoulderThis project will build on the Growing Up Boulder project to encourage resident participation in future city discussions. The goal will be to promote multi-generational engagement in community research and action through application, testing and assessment of tools and methods from storytelling to digital decision systems. This initiative will allow for the City and University faculty to jointly work to improve engagement practice, evaluate alternative engagement approaches, and focus and encourage collaborations around shared priorities to include Outreach and Engagement, CU-Engage and the Community Engagement Design and Research Center (CEDaR).City of Boulder (CO), City of Denver (CO)University of Colorado
Gray Versus Green Infrastructure AnalysisThis project Plan calls for a $1.5 billion investment in citywide storm drainage improvements as part of City of Denver’s Storm Drainage Master Plan. The goal will be to develop a criteria that determines where green infrastructure (GI) solutions can be used rather than upgrading/upsizing traditional gray infrastructure. Researchers will identify needs through the GI/water quality Best Management Practices.City of Boulder (CO), City of Denver (CO)University of Colorado
Boulder Sustainable Design WorkshopThe project brings the City of Boulder and the University of Colorado-Boulder into a partnership to develop sustainable designs of new commercial, affordable housing and infrastructure projects. Projects will be selected and then promoted as focal issues for classes, studios or joint student-faculty research groups. This collaboration will expand existing partnerships such as the Civic Center redevelopment. It will also build upon the eco-district model for Boulder’s sustainability goals through adaptations in environmental systems at a site, neighborhood and district scale.City of Boulder (CO), City of Denver (CO)University of Colorado
Develop a City-Wide Strategy for Capturing and Sharing GIS DataThis project will develop an overall GIS Strategy for the City to improve its services, making GIS data available to the public. The goal will be for the University’s Geospatial Technologies team, and staff from multiple City Departments, including Planning & Zoning, Public Works, Parks, Burlington Police, Burlington Airport, and Innovation and Technology to define associated policies and practices.City of Burlington (VT)University of Vermont
Evaluating and Expanding the Impacts of our DowntownThis project will develop an evaluation program to ensure growth of the City Department Church Street Marketplace (CSM). The goal is to use the urban data collected from vendor surveys and newly-implemented purple wireless capabilities to measure growth of the business and cultural district and expand the program to other communities. The University’s Community Development and Applied Economics Department and Statistics Departments will partner up the CSM.City of Burlington (VT)University of Vermont
Evaluating Walk-Bite Initiatives ImpactsThis project will evaluate the PlanBTV Walk-Bike citywide planning initiative to enhance safety and increase active mobility in Burlington. The goal will be to ensure that proper metrics are in place prior to implementing and measuring this initiative. Teams from the City, and from the University’s Transportation Research Center and Department of Statistics, will identify key metrics for project evaluation to inform decisions about success rates and future activities.City of Burlington (VT)University of Vermont
Envision CharlotteThis energy-efficiency initiative will develop programs in energy, water, waste, and air to conserve resources and reduce operating costs for its participants. The goal will be to apply energy efficiency and smart grid technology coupled with discrete measurement of the progress and impact those technologies produce, to grow sustainability efforts in uptown central business districts.City of Charlotte (NC)University of North Carolina at Charlotte
UNCC Data Science InitiativeThis project will create an interdisciplinary academic program to develop a new generation of data scientists, business analysts, and managers who will have both technical and business skills to transform data into business solutions. The goal will be to provide professional development programs for industry professionals and establish an industry-university consortium which integrates academic research with business innovation and is driven by real world “Big Data” challenges. The City of Charlotte will become a participating member of the consortium and provide data to the program for students to tackle.City of Charlotte (NC)University of North Carolina at Charlotte
City of Charlotte/University of North Carolina at Charlotte PartnershipThis project will create a partnership between the City of Charlotte and the University of North Carolina at Charlotte to provide expertise to the city’s data analytic needs, and the city in turn will provide information for students to use for analysis. The goal will be for the University to use water data to analyze the effect rate changes and other variables have on consumption.City of Charlotte (NC)University of North Carolina at Charlotte
Predictive Analytics ToolkitThe City of Chicago’s Department of Information Technology (DoIT) has used data analytics to address urban challenges such as effective rat baiting and better allocating resources in food inspections to anticipate potential violations. The Urban Center for Computation and Data (UrbanCCD) at The University of Chicago has partnered with DoIT to begin to develop methods to streamline this process by creating a predictive analytics toolkit to enable cities to (a) adapt and reuse methods internally, and (b) share tools and methods for adaptation for use in other cities. The toolkit will provide City personnel with open and modifiable tools to enable projects aimed at more efficiently, effectively, and accountably deploying City resources. By supporting data-driven approaches rather than relying solely on resident-reported issues and trends, cities will be able to deliver services such as for public safety and social challenges in a proactive fashion.City of Chicago (IL)University of Chicago
Array of ThingsArray of Things is a low-cost, highly resilient, modular, open-source hardware/software system to support research in urban sensing and embedded ICT for “smart cities.” The platform is aimed at supporting public/private partnerships involving universities and laboratories working with cities to provide analysis and support proofs-of-concept for diagnosing and addressing urban challenges related to air quality, transportation, and severe weather, and for harnessing and supporting pilot projects exploring opportunities enabled by IoT and broadband wireless technologies. All validated raw data collected will be available for public access and accessible to researchers, engineers and scientists for use in the study of urban environments and to inform urban planning. The software and hardware developed through this project is available through open source or creative commons.City of Chicago (IL)University of Chicago
OpenGrid and PlenarioThe University of Chicago and the City of Chicago have partnered to create an external real-time situational awareness data system for events and locations in Chicago, known as OpenGrid. OpenGrid will provide users with the capability to visualize data and predictions from multiple data sources in a single application, and will consist of data services, analytic services, an application programming interface (API), and an interactive map to visualize the output of the analytic services. The system will leverage Plenario, a platform created at the University of Chicago for accessing, combining, downloading, and visualizing datasets released by city, county, state, and federal governments. By providing search and exploration capabilities for integrated data sets spanning multiple data sources, the OpenGrid/Plenario systems enable scientists and policy makers to quickly find and examine data for a given geographic area (a neighborhood, a district, a city or region), for a period of time they are interested in studying. Data can then be readily extracted to apply the tools of mathematics and computation to better understand urban challenges.City of Chicago (IL)University of Chicago
Knowledge Index for CitiesThis project is a cross-disciplinary research effort between Ohio State University and the City of Columbus to utilize the Knowledge Index (KI) for Cities in order to grow the city’s intellectual capital. The City will cross reference the 300 KI indicators to its Sustainability Green Community Plan in order to promote an intelligent infrastructure. The goal will be to support physical and social mobility, enhance human well-being and ecology, encourage cultural participation and creativity among all its citizens, enable deep civic engagement at all levels, and grow business and innovation across all sectors and for all citizens. These knowledge transactions will contribute to the exponential growth of ideas, innovation and intellectual capital. The City will also create a Department of Neighborhoods that will eventually use this knowledge transactions research to improve neighborhoods across the United States.City of Columbus (OH)Ohio State University
SMOOTH - Smart Mobile Operation: OSU Transportation HubThis project will demonstrate a selection of automated vehicles within the Ohio State University main campus. These vehicles will have GPS, a map data base to help in routing, Vehicle to Vehicle (V2V) communication capability and will be equipped with pedestrian detection technology, enabling them to function in pedestrian zones. The goal will be to test route a human and self-driving shuttle or bus, a golf cart and a single seat motorized scooter.City of Columbus (OH)Ohio State University
MORPC Data Lab (Mid-Ohio Regional Planning Commission)This project will create a data portal for the Regional Data Lab for Central Ohio that serves fifteen counties and 2 million residents. The goal of this portal will be to use data from multiple sources to support research, government and business, and inform the public on social issues. A task force will recommend a data catalog, opportunities for public interaction, ready-made maps and tables, and a platform for sharing analyses. Representatives from Columbus, The Ohio State University, industry, and other multi-disciplinary partners familiar with health, infrastructure, and environmental data will collaborate in governing the website to assure credibility and sustained support.City of Columbus (OH)Ohio State University
Real-Time Multi-Objective Optimization and Autonomous Multi-Agent ControllersThis project will enable intelligent and systematic monitoring, prediction, and optimization of Smart City Systems. The goal will be to use Transportation Systems to improve traffic flow and operations in a small-scale regional simulation. Success will be scaled up to city, regional, and metroplex simulations.City of Dallas (TX)University of Texas at Dallas
Connected Vehicle Platform for Intelligent Transportation and Smart City ApplicationsThis project will develop and evaluate a unified multi-modal wireless communication infrastructure that integrates Dedicated Short Range Communication and LTE technologies for connected vehicle and smart cities applications. The goal will be to demonstrate novel car safety and traffic management applications.City of Dallas (TX)Southern Methodist University
Safer Remote Parking Lots Using Remote SensingThis project will develop new sensor suites to increase safety and safer infrastructure for students, shoppers, and residents. The goal will be to mitigate late-night safety concerns by deploying these sensors.City of Dallas (TX)University of Texas at Arlington
Impervious Cover Forecasting & Water Quality/Quantity ModelingThis project will build upon the Berkeley Neighborhood Impervious Cover Change study and create a model that forecasts impervious cover change and the impact to storm water runoff volumes and pollutant loads. The goal will be to focus on (re)developments under 1 acre as those projects are currently not required to implement water quality Best Management Practices. Another goal will be to identify tools and solutions for new policy implementation, trading programs, and green infrastructure solutions for the City.City of Denver (CO), City of Boulder (CO)University of Colorado
Urban Water Resources Field StationsThe City of Detroit’s Belle Isle is a gem of a recreational and ecological resource on the Detroit River, which is also part of the major shipping network connecting the Great Lakes through the Huron-to-Erie corridor. Since 2009, Wayne State University (WSU) has partnered with the City of Detroit, the Belle Isle Conservancy, the Belle Isle Aquarium and the Michigan Department of Natural Resources to conduct research on beach contaminants and fish consumption advisory issues in service to public health concerns. In addition, WSU has developed innovative automated molecular technology for testing ship ballast water for invasive species DNA, and worked with shipping companies to serve their economic interests while protecting the Great Lakes. Public outreach includes monthly science talks by university researchers and public school field trips by over 700 students annually at the Belle Isle Aquarium. WSU also partners with the Detroit Water and Sewerage Department Water Works Park Treatment Plant in the use of its pilot plant to evaluate the effectiveness of the City’s drinking water treatment system at removing contaminants of emerging concern from the water supply. These field stations are part of the Huron-to-Erie Alliance for Research and Training (HEART).City of Detroit (MI)Wayne State University
Urban Tree Canopy Assessment In partnership with the University of Vermont Spatial Analysis Lab, the USDA Forest Service, and Wayne State University, the City of Detroit is assessing and mapping its urban tree canopy on a 3-foot grid. The data will be integrated with the City’s geographic information system in 2016 and will be available to the public for planning tree planting and stewardship. The data will have many uses, such as management of urban heat islands, planning for sustainability and public engagement.City of Detroit (MI)Wayne State University
Geospatial Determinants of Health Outcomes (GEODHOC)Established in 2008 by an international group of interdisciplinary researchers seeking to investigate connections between air quality and health outcomes for residents of urban areas, the adjoining cities of Detroit, Michigan and Windsor, Ontario provide a natural laboratory to investigate disparities in health outcomes related to differences in population demographics, environmental regulations, or health care delivery systems within an airshed that includes common air pollutant exposure levels. Researchers and City officials worked together to identify street lights and fire stations where air sampling equipment could be deployed. The resulting air pollution maps document neighborhood-scale variation in concentrations that allow high resolution pollution estimates to support health outcome studies. Collaboration continues through ongoing consultation with Detroit Environmental Affairs and the Detroit Public Lighting Authority.City of Detroit (MI)Wayne State University
Real-Time System Optimization for Sustainable Water Transmission and DistributionsWayne State University (WSU) developed software for integration with existing water utility operating systems at the Detroit Water and Sewerage Department to reduce the amount of pollutants entering the Great Lakes as the result of energy consumed by water utilities. This energy and pollutant reduction was achieved by improving pumping efficiency throughout entire water systems. Previously, collaborators on this project had developed a computer program and guidelines for pump optimization that allowed plant operators to reliably meet system demands while minimizing energy consumption. This project extends the usefulness of this technology to whole water delivery systems in order to realize the benefits of system-wide pumping optimization. City of Detroit (MI)Wayne State University
Impact of Housing Change on NeighborhoodsThis project will compare city and county permit data on construction, demolition and substandard housing to the characteristics of housing and housing change in important Houston neighborhoods. The goal will be to compare current and changing neighborhood demographic characteristics including gentrification. This research from Rice University will be used to inform future housing and infrastructure policy in the City of Houston.City of Houston (TX)Rice University
Impact of Streetlights on NeighborhoodsThis project will use GIS mapping on streetlights to analyze patterns reflecting when streetlights are in use or “out.” The goal will be to compare the GIS data to data associated with neighborhood characteristics, crime, traffic accidents, and other factors. This research will be used to inform the City’s future decisions on new streetlights locations and repair priorities.City of Houston (TX)Rice University
Bike Share in the SunbeltThis project will use data provided by Bcycle, which operates Houston’s bikeshare system, to analyze bike share usage in City of Houston and other Sunbelt cities. Rice University researchers will analyze trends to improve management and operations, as well as determine future bikeshare station locations across the City.City of Houston (TX)Rice University
Emergency Response MappingThis project will study if emergency response times can be shortened and safety during response increased. The goal will be to evaluate whether response times can be improved through improved data integration, such as altering the determination of who should respond based upon a response rate algorithm rather than geography, as well as, determining if changes can or should be made to the positioning of equipment. Additionally, data will be collected to track and analyze calls for service based upon priority to analyze the effect of low priority call frequency on high priority assets and personnel. This information on locations of calls for service, times of day, traffic information, and other data will then be used to determine the priority of preemptive signaling for first responders.City of Jacksonville (FL)
Neighborhood Connectivity AnalysisThis project will combine a 5,000 participant transportation survey, origin/destination data captured via interstate and roadway Bluetooth sensors, bicycle & pedestrian data, and other traffic data with administrative data, such as 311 and 911 calls, building permits, food deserts, and neighborhood and community asset maps to determine the regional and systemic needs. This goal will be to apply transportation resources, at street level, to provide low income residents access to necessary services, daily commuters access to job-centers, and connect neighborhoods to allow residents easier access to services and amenities in their neighborhood and in other parts of the City that are far spread apart.City of Jacksonville (FL)
Bicyclist/Pedestrian Behavior AnalysisThis project will use a combination of cameras, sensors, and analytics tools to quantify the passage of cars, pedestrians, and bikes in order to measure the high rate of fatalities and injuries among its most vulnerable road users in Jacksonville. The goal will be for the City-Partners to optimally plan the locations for new bike/ped infrastructure, track and evaluate the resulting behavior change, and increase safety for pedestrians, cyclists, and drivers.City of Jacksonville (FL)
Food Access: a CBPR Visual EthnographyThis project will identify the spatial barriers to accessing affordable and nutritious food for women enrolled in the WIC program in Wyandotte County. The goal will be to build a qualitative visual narrative informed by participant perceptions through video interviews as they travel to their nearest grocery store. These visual transcripts will then be coded and represented as card sorting exercises for residents through a series of community workshops in partnership with the Unified Government of Wyandotte County’s Health Department.

Working with WIC, KU SADP and KU School of Public Health taught a joint class to identify and survey 8 non-WIC stores in the focus population, considered as the most dense urban area of Wyandotte County, and home to over half the county's population. The class identified three stores that carried enough WIC food items to be considered as potential WIC applicants. Those three stores are now working with the Dotte Agency to apply for WIC and prototype grocery store shelving units that promote fresh food.
City of Kansas City (MO), City of Kansas City (KS)University of Kansas
PlanIT ImpactThis project will implement a web application that will allow designers, planners and stakeholders to better understand building or site performance with regard to energy and water use, storm water infiltration, greenhouse gas emission, proximity to public transportation, quality of place, potential return on investment, and more. The goal will be to bring information into the design process to generate performance calculations in an immersive 3D environment. The project will include both Kansas City, MO and Kansas City, KS to identify opportunities for development projects in the pipeline, including the Healthy Campus in Kansas City, KS that is part of the GCTC Action Cluster.City of Kansas City (MO), City of Kansas City (KS)
Smart City Overlay on Healthy CampusThis project will develop a “Healthy Campus”—a defined mixed-use area in Kansas City, KS, that clusters assets to measure public health benefits. “Smart City” components to the Campus made up of a community center and a grocery store will include: widespread wireless/wifi connectivity throughout the campus footprint, physical touchpoints within the campus for health information and service, and data integration of personal devices and public sensors. UMKC’s Center for Health Insights will use analytics to leverage environmental sensors in a public health context and will work with Campus to optimize the tech integration with a focus on outcomes.City of Kansas City (MO), City of Kansas City (KS)University of Missouri – Kansas City, University of Kansas
Smart Cities/Urban Living Lab and Privacy RegulationThis project will implement a comprehensive Smart City Initiative along the downtown streetcar corridor of Kansas City, MO. The goal will be to obtain input from 311 phone calls, utility information, crime, etc, to highlight privacy concerns from citizens and provide confidentiality levels of understanding from the City’s perspective. This project will combine research and the building of a multi-function and searchable electronic platform to help the City’s Law Department provide guidance on City governance.City of Kansas City (MO), City of Kansas City (KS)University of Missouri – Kansas City
Connecting the DottesThis project will develop three urban scales to recognize significant spatial relationships affecting healthy food choices and walk-ability, with the ultimate goal to mobilize the community. The goal will be to develop a composite baseline knowledge map to broaden relationship building through its key stakeholders in order to engage resident leadership and track and analyze community input. It will also inventory, analyze and document the physical, environmental, technological and social fabric of selected neighborhoods by creating detailed, local maps, models and other tools to engage residents through a mapped ‘walkabout’ exercise. It will also provide a resident training workshop to support self-analysis processes, create a neighborhood vision, develop design concepts, and visualizations for the community. Finally, it will develop cost-effective prototypes of built elements, installed for community feedback to be used as guidelines for policy makers.

The project has entered its second year of funding and is on track to meet its original goals. The work is supporting a range of initiatives in public parks that promote activity through walking clubs and the improvement of park infrastructure. This yields on-the-ground intelligence about park needs and improvements that can be achieved through targeted fundraising and innovation. For instance, proposals have been made to install networked sensors to evaluate park usage patterns, along with providing individual users feedback about their own benchmarking and progress on fitness stations. Based upon mobilizer feedback, Dotte Agency launched a text-messaging based service that connects the mobilizers to their neighborhood park walking group. This initiative was supported by research that concluded that walking clubs that received text message reminders to walk lowered their BMI against a control group without reminders.
City of Kansas City (MO), City of Kansas City (KS)University of Kansas
LA Fire Department Injuries and Workers Compensation TrendsLA’s injury rates and workers’ comp metrics are higher and more costly than peer cities. The City’s sworn personnel – fire and police – see dramatically high claims rates and “injured on duty” hours. With Cal State LA’s support, the City’s Fire Department will conduct an analysis around high profile emergencies and their impact on baseline claims and injury rates.City of Los Angeles (CA)California State University Los Angeles
Mayor's CupThe Mayor's Cup is a competition providing local university entrepreneurs the opportunity to explore innovative solutions to local civic challenges. The Grand Prize Winner will receive $25,000 and the opportunity to work with City Hall for eight weeks to develop their idea. Five questions focused around two themes – civic engagement through land use and growing the local economy – provide applicants the pathway to submit their ideas. Cal State LA has been integral in the current success of the Mayor’s Cup, and will remain the leading partners in it’s execution through the remainder of 2016 and Spring 2017. The partnership has resulted in more than 20 recruited partners across sectors, more than 50 submissions to date, and truly innovative approach to problem-based civic competitions.City of Los Angeles (CA)California State University Los Angeles
Digitization and Certification of Minority/Women Owned Businesses in LALA has one of the most diverse and potential-packed economies in the world. It also possesses one of the largest ecosystems of small and minority/women-owned businesses. Unfortunately, the certification process for minority and women owned businesses is currently paper based and handled by two people. This has resulted in a backlog of 2-3 years on average, with the worst case being an application that was submitted in June 2010.

The City of Los Angeles and Cal State LA will work to accomplish the following:
1. Create and deploy a digitized version of the current certification form through Cal State LA’s Computer Science program.
2. Develop business processes and deploy data and validation automation to alleviate the current need for more resources and bandwidth through Cal State LA’s Big Data class.
City of Los Angeles (CA)California State University Los Angeles
Modeling Citywide Accessibility and EquityThe Madison Area Transportation Planning Board and researchers at the University of Wisconsin are modeling citywide accessibility, a measure of how well the transportation system provides access to destinations. The goals of this work are to evaluate new tools for measuring accessibility, test the measures' application for planning and project evaluation, and set standards for using the measures. As a result, the research team has also developed a framework for evaluating transportation equity, which incorporates accessibility, affordability, and health and safety.City of Madison (WI)University of Wisconsin - Madison
Madison Neighborhood Indicators ProjectNIP is a web-based tool, administered for the City by UW-Madison’s Applied NIP is a web-based tool, administered for the City by UW-Madison’s Applied Population Lab. It was designed to create historical data to respond quickly to emerging trends with data-driven decisions. Since 2008, it monitors six key indicators (community involvement, housing, safety, health, economic vitality, transportation), in addition to demographic composition, as they relate to the quality of life in Madison at the neighborhood level. It annually measures at two main scales (Planning District and Neighborhood Association) more than 30 variables that constitute the 6 indicators. Data for the city’s 62 Planning Districts and 96 Neighborhood Associations is available using the tools on this website. NIP data have been used to inform neighborhood needs assessments by the Department of Public Health, childcare and Head Start needs assessments, City’s energy improvement loans, the United Way’s Born Learning educational needs assessment, and grant writing by Madison Libraries. More information is available on the project website: http://madison.apl.wisc.edu/City of Madison (WI)University of Wisconsin - Madison
Stricker's Tiedman Watershed PilotThe City of Madison, the City of Middleton and the University of Wisconsin (UW) - Madison are interested in the current functioning and future management of two kettle ponds (Stricker’s and Tiedeman) with highly urbanized watersheds. The runoff from the urbanized landscape altered hydrologic regime from predevelopment conditions and impacts the pond ecology and the phosphorus loading to Lake Mendota. The UW-Madison Nelson Institute’s Water Resources Management Program has developed water quantity and quality models to evaluate existing and future hydrologic conditions. The work is providing the cities of Madison and Middleton with management recommendations for the pond and watershed in order to improve habitat, reduce runoff volumes and improve water quality.City of Madison (WI)University of Wisconsin - Madison
Microgrid Energy Management in City BuildingsUW-Madison researchers in Electrical and Computer Engineering, Computer Science, and School of Business are completing a research project funded by the National Science Foundation, to enable the commercialization of the Microgrid Energy Manager (MEM) technology. MEM can be used to reduce energy consumption in buildings through the internet-based communications and control technology. The first phase of deployment that is being planned at the City of Madison Emil Street Engineering Services building will be a lighting management system in a lounge/break room area. The lighting levels will be dimmed when the overall building loads reach beyond a certain threshold. On the basis of the performance evaluation of the pilot deployment, larger scale projects will be developed in the future.City of Madison (WI)University of Wisconsin - Madison
Mindfulness-Based Police Training Pilot StudyThe Center for Healthy Minds and the Madison Police Department (MPD) have launched a pilot study to better understand the impact of mindfulness-based practices on police officers’ physical and mental well-being. Police officers face extreme levels of occupational stress that can have deleterious effects on physical and psychological wellbeing, relationships with co-workers and loved ones, and job efficacy. The overarching aim of this study is to adapt a mindfulness-based training program for the Madison Police Department (MPD), and examine officers’ ability to strengthen their attention – an indicator suspected to influence emotion regulation.City of Madison (WI)University of Wisconsin - Madison
Parking Demand Estimation ToolThis project provides the City of Madison and local stakeholders with a valuable tool for understanding residential parking demand, developing policies and strategies to meet and manage demand (including both parking and traffic), and making informed decisions about parking and development. The University of Wisconsin project team has developed an interactive online tool for demonstration and is currently working with City staff, government officials, the public, and the private sector to refine its functionality. Data collection and analysis were completed between July 2015 and June 2016 and the final results are undergoing peer review.City of Madison (WI)University of Wisconsin - Madison
Detecting Unusual Objects, Actions and EventsThis project will develop computational brain-inspired algorithms for detecting unusual objects, actions and events in surveillance video data, and reporting it to the concerned authorities for proactive action. The goal will be to automate and better monitor the surveillance process in order to reduce manpower/supervision and cost/maintenance for stopping crime. This project will be partnership between the Computational Intelligence Laboratory, affiliated with the Department of Electrical & Computer Engineering and the research-intensive Institute for Intelligent Systems at the University of Memphis.City of MemphisUniversity of Memphis
Blight AnalyticsThis project will model blighted parcels and neighborhoods and recommend early actionable interventions to city officials and policy makers in order to reduce and contain blight incidences in a city. The goal will be to collect and analyze blight data in order to better allocate financial resources for prevention and correction.City of Memphis (TN)University of Memphis
Moving Up and Moving Around - Increasing Economic ProsperityGreater Miami suffers from extreme income disparity and high localized poverty levels. Residents of greater Miami face some of the highest housing cost burdens in the nation. Limited family income also impacts transportation and housing options. These are not independent issues, but in fact need to be addressed comprehensively. Access to transportation is a pivotal factor in resilience as transportation allows people to connect with jobs, resources and each other. Local governments deploy fiscal resources to develop and maintain job training, transportation and housing assets for their residents. Economic development organizations are charged with attracting new businesses and retaining and expanding existing businesses. As part of the development of the Greater Miami and the Beaches Resilience Strategy, university partners will provide research that will help to connect, evolve and expand traditional efforts to develop practical policies and programs to support local and regional goals.City of Miami (FL)University of Miami, Florida International University, Miami-Dade College
Flight the Bite - Eliminate the Impacts of Climate-Related DiseaseGlobalization, urbanization and climate change are exacerbating public health challenges and traditional treatment methods may not be sufficient in our fast paced, dynamic world. Miami-Dade County is experiencing increased transmission of tropical diseases by residents and nonresidents who travel to where diseases are more prevalent and, upon returning to South Florida, provide paths for diseases to spread through mosquitoes. Federal, state, and local government epidemiologists and entomologists are taking actions to eliminate areas where mosquitoes can breed and to provide medical assistance to local populations. Emerging diseases potentially impact the health of residents and also have economic consequences for individuals, localized areas, and the greater region. The GMTB Resilience Collaborative will focus on new possible innovative courses to address these complex multi-disciplinary issues. Academic partners will be involved in literature research, actual research, and public dialogue among all involved to address issues at hand and reduce risks moving forward.City of Miami Beach (FL)University of Miami, Florida International University, Miami-Dade College
Stormwater ManagementThis interdisciplinary project will explore key components, tools,and approaches for successful district stormwater management. Engineering and scientific experts will address the design of stormwater management as multi-functional spaces and strategies for setting district boundaries (in relation to watersheds). Public policy experts will evaluate community involvement approaches, financial strategies, and use of GIS and other tools for communicating and analyzing alternatives.City of Minneapolis (MN), City of Saint Paul (MN)University of Minnesota
Future of Minneapolis Parking RampsThis study will evaluate the future directions of three large parking ramps in downtown Minneapolis. The ABC Ramps were completed in 1992 as part of the I-394 construction using federal Congestion Management and Air Quality (CMAQ) funds. The purpose of the ramps is to have programs that support reducing congestion and improving air quality by reducing SOV trips from the I-394 corridor. As transportation behaviors, modes, technologies and plans surrounding the ramps have changed over the first half of the ramps' design life, this study will examine opportunities for ensuring that the ramps continue to address transportation challenges over the next 25 years.City of Minneapolis (MN), City of Saint Paul (MN)University of Minnesota
Modeling Transit AlternativesIn this project, the Minnesota Design Center will work with the Ramsey County Regional Rail Authority and AECOM to develop alternative routes and street configurations along the Riverview Corridor connecting downtown St. Paul to the MSP Airport and the Mall of America west of the city, and along the Rush Line connecting downtown St. Paul to White Bear Lake, Minnesota north of the city. The project will develop and use laser-cut modeling techniques that enable communities along both lines to interact with the physical models and respond to alternative configurations in ways that lead to productive conversations. Ideas are being generated from this work about shared streets, complete streets, and switchable streets that have broader implications for public rights-of-way.City of Minneapolis (MN), City of Saint Paul (MN)University of Minnesota
Fine Scale Data to Inform Urban Infrastructure Transitions Towards Sustainability, Health, and EquityThe purpose of this study is to review presently available data sources at the block group or finer scale in Saint Paul that are needed to better understand impacts of the seven urban infrastructure services (water, energy, food, shelter/building, transportation/communication, sanitation/waste management, and green and public spaces) on environmental sustainability, human health, human well-being, and equity. City of Minneapolis (MN), City of Saint Paul (MN)University of Minnesota
Racial Data Equity ExplorationThe Saint Paul City Attorney's Office has initiated a data exploration project with the University of Minnesota with the goal to identify racial disparities in the criminal justice system and ways the Office can contribute to reducing disparities at each decision point in the life cycle of a case.City of Minneapolis (MN), City of Saint Paul (MN)University of Minnesota
NYU CUSP's Urban ObservatoryUrban Observatory is a project that will persistently observe and analyze New York City in an effort to better understand the “pulse of the city” in various states, such as mobility, energy use, communications and economics. The data gathered from the Urban Observatory will ultimately be used to improve various aspects of urban life, including energy efficiency, detecting releases of hazardous material, tracking pollution plumes, aiding in post-blackout restoration of electrical power, and more.City of New York (NY)New York University
Neighborhood Lab InitiativeNew York City will create a series of neighborhood innovation labs across the five boroughs. The new labs will accelerate the testing and deployment of new Smart City technologies. Developed by the City’s Chief Technology Officer, the Mayor’s Office of Technology and Innovation, the NYU Center for Urban Science and Progress (CUSP), and New York City Economic Development Corporation, the neighborhood innovation labs will build on the CUSP Quantified Community research facility and the Mayor’s efforts to expand free public Wi-Fi networks across the city, leveraging this connectivity and the Internet of Things to help improve day-to-day life for community residents and small businesses.City of New York (NY)New York University
Vehicle AnalyticsThis project will leverage vehicle monitoring systems data to gain an understanding of traffic flows and street configurations. Analytics will be used to reduce accidents and improve roadways, reduce emissions, and improve safety logistics for city vehicles.City of New York (NY)Columbia University
Stop Trash Where it StartsThis project will be a capstone for the NYC Department of Environmental Protection. The goal will be to determine data-driven predictions of trash composition in order to reduce the need for manpowered surveys, discover primary factors responsible for trash on the streets and help better target interventions. The project is also part of the DEP’s campaign to prevent trash entering the City’s water bodies and will focus on developing incentives and policies to “stop trash where it starts”.City of New York (NY)Columbia University
The Newark Portal (Next Generation Information Hub)This project will design and implement the Newark Portal, a smart communication appliance available for users to access City services and eventually serve as a hub for smart sensors and automation technology. The Portal will reside on Newark’s high-speed fiber network. Our key partners for the program are Panasonic and Princeton Partners along with the Newark Downtown District business community. An New Jersey Enterprise Development Center company, WattLots, will use solar powered street lighting technology for the Portal, and companies like iSpeech, Cybervision and Vognition will offer unique user interface technologies that extend the portal capabilities beyond conventional methods.City of Newark (NJ)New Jersey Institute of Technology
Newark Light Rail Fare Beater ProjectThe project will research possible technology solutions including facial recognition to help the City to minimize the amount of fare avoidance. Key partners include New Jersey Institute of Technology (NJIT), NJIT Enterprise Development Center (EDC) company Cyberextrude and the New Jersey Transit Authority.
City of Newark (NJ)
Smart City Newark IoT Test BedThis project will launch a living lab on the streetscape in partnership with the New Jersey Institute of Technology (NJIT) and the City of Newark. The goal will be to improve the status quo and a lasting community of innovators experienced in developing and testing ideas for emerging technologies. Key partners in this project include the IBM Corporation, Panasonic NA, and the New Jersey Innovation Institute (NJII) board members. IBM has been selected for their IoT Foundation platform, which will provide an open, plug & play environment for innovators to develop their application rapidly. Panasonic will help provide the network hardware for sidewalks. NJIT’s Enterprise Development Center (EDC), a 95-company small business incubator, has a number of tenants that will integrate their products.City of Newark (NJ)New Jersey Institute of Technology
Solar Power Harnessing for Electric VehiclesThis project will research and pilot solar photo-voltaic (Solar PV) technology for the production of clean electricity to power vehicles. In a partnership with the Florida Solar Energy Center (FSEC) and the University of Central Florida College of Engineering, the City of Orlando will offset electricity from the grid and will be used for transportation, storage and re-directing of power, to the grid, for sharing with other users. This goal will be to develop cost-effective methods for the usage and application of solar energy production for transportation purposes.City of Orlando (FL)University of Central Florida
Electric & Autonomous Transit ResearchThis project will use several electric buses to transport students, instructors, administrators and support staff, between its three campuses, including the new downtown campus. Using the guidance and support of the Electric Vehicle Transportation Center (EVTC), and in collaboration with the City of Orlando and its Utility Company, the Orlando Utilities Commission (OUC), this service will also test autonomous buses along the Downtown Bus Rapid Transit (BRT) routes. Intelligent Transportation Systems (ITS) features will be included to facilitate system management and traveler information.City of Orlando (FL)University of Central Florida
Collection and Sharing of Real-Time Travel Information for All Modes of TravelThis project, a partnership between the Florida Department of Transportation (FDOT), the Central Florida Expressway (CFX) and the Metroplan Orlando, will leverage existing social media and navigation-assisted sources, to support mobility and efficiency with live information on rail, bus, livery vehicle, car or bike share, and roadway travel times. The goal will be to provide information to facilitate traveler choices, convenience and reliability, while enhancing the local economy.City of Orlando (FL)University of Central Florida
2nd Avenue Solar Canopy & DC Micro-Grid and EV Car Charging StationThe 2nd Avenue Solar Powered DC Microgrid demonstrates an integration of energy technologies to further vehicle electrification and energy optimization. 2nd Avenue is the location of the City's 40 vehicle Permits Licenses and Inspections fleet. The City is in the process of transitioning the fleet from gasoline to electric. The creation of the solar powered, DC Micro-Grid enables the City to operate a zero emissions footprint for the vehicles. Using the micro-grid technology allows to reduce conversion loss, and create resilient, islanding capability for the more efficient grid management. The proposed project serves as a replicable model and key portion of the City's USDOT and Vulcan philanthropies proposals.City of Pittsburgh (PA)University of Pittsburgh
City Building Data Analytics: Energy and Air QualityThe City of Pittsburgh’s Sustainability team and researchers at Carnegie Mellon’s Center for Building Performance and Diagnostics are gathering real time data from five City owned buildings to test, design and develop a platform that tracks and measures energy usage and air quality. This will help policy makers determine data-driven decisions, help building operators understand the energy needs of their facility, and help building occupants have a higher quality working environment.City of Pittsburgh (PA)Carnegie Mellon University
Deploying Real-Time, Multi-Pollutant Sensors (RAMP) in East LibertyBeginning mid-July 2016, this project will deploy 30 RAMP sensors at traffic intersections in the East End of the City of Pittsburgh. RAMP sensors measure gas-phase pollutants including CO, CO2, O3, NO2, and SO2 as well as particulate pollutants PM2.5 and PM10. RAMP sensor packages will be mounted on utility poles and provide localized information on air quality. One potential use case of this work is to use this data to develop a traffic control strategy to minimize pollutant levels. By coupling air quality sensors to the traffic management network, the team can quantify the benefits of traffic management on neighborhood level air quality. The team will also work with the community to provide collected local air quality data freely as a tool for community groups to further outreach efforts.City of Pittsburgh (PA)Carnegie Mellon University
District Energy InitiativeThe District Energy Initiative is an over-arching “Grid of Micro-Grids” concept within and around the City of Pittsburgh. The goals of the District Energy Initiative are to create a more resilient, efficient, economic, and sustainable energy eco-system for our region. The District Energy Initiative will help position Pittsburgh as a leading city in the 21st Century by creating one of the largest and most advanced energy eco-systems in the county.City of Pittsburgh (PA)University of Pittsburgh
Helping You Find Economical Energy Efficient, Excellent HousingEdigs uses automated tools combined with crowdsourcing to change the information economy around rental housing selection in the City of Pittsburgh. The application focuses particularly on energy use. More specifically, the team is leveraging the Residential Energy Consumption Survey along with crawled and crowd-sourced data to deploy a Yelp-like interface for potential tenants. The team will ultimately expand this to include a wide variety of other information and reviews about prospective housing.City of Pittsburgh (PA)Carnegie Mellon University
Regional Data CenterThe Western Pennsylvania Regional Data Center is designed to support key community initiatives by making public information easier to find and use. The Data Center will provide a technological and legal infrastructure for data sharing to support a growing ecosystem of data providers and data users. The Data Center will serve as Allegheny County and the City of Pittsburgh’s open data portal, and provides a number of services to data publishers and users. The Data Center will also host datasets from these and other public sector agencies, academic intuitions, and non-profit organizations. The Data Center is managed by the University of Pittsburgh; Center for Social and Urban Research, and is a partnership of the University, City of Pittsburgh, and Allegheny County.City of Pittsburgh (PA)University of Pittsburgh
Pittsburgh Air Quality Empowerment Lending LibraryAir quality is a growing concern in the 21st century. Fine particulate matter, or PM2.5, is particularly harmful to our health and quality of life. This team aims to investigate and how citizens can be empowered to understand sources of PM2.5 in their homes and take steps to improve the air they breathe. The project provides Pittsburgh residents with access to Speck air quality monitors through their local libraries, supports citizens’ air quality explorations through discussions with air quality experts and community advocates, and evaluates how these interventions impact community engagement and empowerment around air quality issues.City of Pittsburgh (PA)Carnegie Mellon University
Optimizing Snow Plowing Operations in Urban Road NetworksWorking with the City of Pittsburgh’s Department of Public Works, the team is creating a prototype in-vehicle mobile application that will provide turn by turn routing instructions to snow plow drivers. The system will provide real-time optimization and management of snow plowing operations.City of Pittsburgh (PA)Carnegie Mellon University
Smartphone-Based Road Inspection in the City of PittsburghResearchers at CMU’s Robotics Institute and City of Pittsburgh Public Works are gathering smartphone camera data to assess road condition across Pittsburgh. The technology provides a data driven alternative to manual, visual road inspection. This helps the City make equitable decisions where and when to repair roads. This project is looking at expanding not only to road condition but also analyzing the condition of other infrastructure like street signs and lights.City of Pittsburgh (PA)Carnegie Mellon University
Water and Sewer Systems Evaluation of Green Stormwater Infrastructure to Mitigate Sewage Overflows in the Nine Mile Run Watershed AreaThe team will use sensors to determine the efficacy of three Green Stormwater Infrastructure (GSI) installations planned for the Nine Mile Run Watershed area in the Homewood neighborhood of the City of Pittsburgh. Sensors will be deployed at the sites before installation of the GSI to evaluate rainfall amounts and flow capture at inlets during storms. This research project will evaluate the installation locations using multiple models to determine the effectiveness of different techniques for site selection and optimization within the larger region under current as well as future climate conditions.City of Pittsburgh (PA)Carnegie Mellon University
Dynamic Bridge Lighting: Information and AestheticsThe Powell-Division BRT will connect to downtown Portland via the Tilikum Crossing, a unique new multimodal bridge that carries pedestrians, bicyclists, buses, streetcar, and light rail, but no cars or trucks. Tilikum Crossing is equipped with a state-of-the-art, computer-controlled LED lighting system that is linked to the hydrologic conditions of the Willamette River that it spans. Colors and patterns shift subtly with the changing velocity and temperature of the water, offering an unusual opportunity to educate bridge users and nearby residents about the hourly, daily, seasonal, and inter-annual flow variability of a river subject to climate change. Visual artists and STEM educators from Portland State University and other institutions are exploring additional light installations along the Powell-Division Corridor that can provide similar public learning experiences. This expanding range of innovative light displays can serve as a platform for new businesses whose products and services simultaneously delight and inform the public.City of Portland (OR)Portland State University
ABCD
Connected VehiclesPortland State University, the Oregon Department of Transportation, Intel, and CH2M Hill are collaborating on a connected vehicle research program to devise new ways to pay for road use and to create a robust technology platform and marketplace of connected vehicle applications that promote mobility, safety and environmental objectives. A major proposal is currently being evaluated by the U.S. Department of Transportation. Portland has among the most electric vehicle charging stations per person in the US, with another 42 chargers recently added at the Portland airport. A partnership among the City, Portland General Electric, and PSU called “Electric Avenue” co-located 10 EV charging stations for public use on the PSU campus. After four years of successful deployment, it was recently relocated to PGE headquarters. The extensive network of EV charging stations and data position Portland to integrate EVs into smart city strategies, with specific opportunities still under development.City of Portland (OR)Portland State University
Powell-Division Corridor Smart City LaboratoryThe interconnected issues of air quality, traffic, transportation choices, and housing affordability are foundational urban concerns, and the Powell-Division bus rapid transit line is an unparalleled opportunity to monitor the impact of policy interventions. With service on Portland’s first BRT line expected to begin in 2020, instruments will be deployed to measure many parameters before, during, and after construction, including meteorological conditions, air quality, and noise. These data will be compared with vehicular and transit traffic information that has been collected for the past decade and stored in the PORTAL dynamic database. This information will allow air quality and its public health consequences to be correlated with transportation mode splits and volumes as a function of time of day, week, and year. Key partners include the City, PSU, TriMet (transit agency), and technology providers.City of Portland (OR)Portland State University
Business Engagement InitiativeThe Business Engagement Initiative is kicking off its work through a partnership with Brown University’s Engaged Research program. This program provides students and faculty the opportunity to partner with the City or partner organization to investigate an important policy issue in Providence. In partnership with the City of Providence Department of Innovation, students and staff will be engaging with over 50 minority entrepreneurs and business support organizations to get their feedback on how to best transform licensing and permitting processes within the City. The City will utilize this qualitative and quantitative data, presented in multimedia format, to tailor its work to digitize and improve the licensing and permitting experience. Further, the Department of Innovation plans to continue to engage these businesses to support the City’s Start Up In a Day project to reduce the time it takes to identify and apply for needed business licenses to one day.

Engaged Research Program: http://jamiemcpike.wixsite.com/plcy1802
City of Providence (RI)Brown University
OpenPVD LabThe OpenPVD Lab will develop tools and outreach strategies to enhance the City’s open data practice. From co-developing the City’s open data policy to co-hosting the City and University’s first City-focused hackathon, Brown University and the City are developing new tools and systems to ensure the public can access data in meaningful, useful ways.City of Providence (RI)Brown University
Smart Streetlight PilotAs part of a partnership with Brown University and their CIO Dr. Ravi Pendse, the City is facilitating student involvement in our streetlight conversion to LEDs. The City is in the process of converting its over 16,000 street lamps to LEDs that will also be capable of supporting additional hardware that could do anything from monitor air quality levels to provide wireless internet access. Students from Brown who are enrolled in Dr. Ravi’s Internet of Things based class are exploring possible applications of that technology for the city by building and testing smart street lights of their own. Their work represents a great step forward in civic engagement at the technology level.City of Providence (RI)Brown University
TraversePVDThe City is working to redefine several streets to better accommodate bike and foot traffic by partnering with experts in transportation. By testing new paving and maintenance technologies and protocols, we can increase the efficiency of operations and longevity of paving/street redesign projects while maintaining safe, well-designed streetscapes for the public.City of Providence (RI)University of Rhode Island
Pavement Condition Assessment and Prioritization of Road Maintenance at the County- and State-LevelThe current practice of pavement condition mapping and assessment involves expensive specialized vehicles and manual work. Therefore there are challenges of increasing a frequency of performing data collection and condition assessment at larger scales – e.g., county- and
state-level.

The increasing availability of portable technologies and connectivity makes the dream of having smart cities closer. There are various ways to automate pavement condition assessment.

Mobile technologies also support successful applications, such as Waze, that provide traffic-aware city navigation by using data provided by the community. Many cars are now equipped with rear parking cameras and autonomous vehicles comes with many sensors that are suitable for detecting pavement defects. Data collection can be implemented by engaging citizens. Their daily drive can help the City of Raleigh and NCDOT collect data. The road data is captured across many discrete variables to understand the road’s conditions, the location of particular defects, and the density of traffic in a particular area. Then data is analyzed and visualized so that decision makers can see exactly what problems exist, how severe they are, precisely where the problems are located, and what may be contributing to their causes. Access to live dashboards is also possible to provide an organization or municipality with the information they need to make quick, accurate, and justified decisions to rapidly improve local infrastructure.

Easier collection of data on the way people live in a city and data analysis methods empower city administrators and policy makers to better manage the city and improve the lives of people.
City of Raleigh (NC)NC State University
An IOT Climate Control System for Office Buildings The City of Raleigh and North Carolina State University wish to collaborate on project opportunities to leverage software, sensors and network technology to improve the City’s strategic vision and operations. The collaboration will focus on opportunities that leverage NC State’s strengths in skill and position as a trusted third party within the Triangle area, the University’s dedication to research that improves the lives of everyday North Carolinians, and its statewide network of university professors and specialist resources.City of Raleigh (NC)NC State University
Societal and Infrastructural Responses to Increases in Extreme Precipitation (SIRIEP)As increasing greenhouse gases (GHGs) in Earth’s atmosphere drive a warming climate, it is projected with high confidence that the frequency and severity of extreme precipitation events (heavy rains) will increase. This is based on both an understanding of basic physical principles and analysis of simulations of
future climate from global climate models (GCMs). As the globe warms in response to increasing atmospheric greenhouse gas concentrations, the amount of water vapor over the warming ocean surfaces will increase substantially, because the saturation vapor pressure of water increases by about 7% per °C. With global temperatures projected to increase in the range of 1.5-4.5°C for a doubling of GHGs, increases of water vapor content near the ocean surface are expected to be 10-30%. Since extreme rainfall events over land require
oceanic sources of moisture, this increase will directly impact the magnitude of such events. GCM simulations, for various scenarios of increasing GHGs, produce large future increases in extreme rainfall over land, even in regions where overall precipitation decreases.

SIRIEP will meet such needs, founded on the best weather/climate/statistical science and couched in appropriate estimates of uncertainty. There is, as yet, no consensus within the climate-science community about how best to do this. Thus, multiple approaches will be taken, drawing on new observing technologies, advanced statistical methods, and cutting edge numerical modeling. Beyond climate science, this problem poses challenges for engineering and design, for planning, and for exchanging knowledge with practitioners who design infrastructure and coordinate emergency response. Its solution must be interdisciplinary, involving meteorology and climate change, the assessment and communication of risk, the development and use of new standards for engineering infrastructure, the development of innovative design practices, and the development and use of new technologies through which designers, stakeholders and the public can visualize changing environmental threats and the benefits of resilient responses.
City of Raleigh (NC)NC State University
Forecast and Control of Transportation NetworkThis project will leverage data from GPS-enabled cellphones to open new horizons for traffic management to address computational challenges for real-time forecasting and control of traffic networks.City of San Diego (CA)University of California, San Diego
Green Infrastructure and Urban AgricultureThis project will develop participatory tools, spatial analytics models and civically engaged processes to help residents, municipalities, public agencies, and tribes select best locations for green infrastructure, such as rainwater harvesting and storm water biofiltration, and urban agriculture, such as community gardens and urban food forests.City of San Diego (CA)University of California, San Diego
SuperpublicSuperpublic will support urban informatics, research, policy development, demonstrations, commercialization and community engagement to create more inclusive, equitable and sustainable cities, beginning with the Bay Area. Superpublic is a public-private consortium of companies, academic institutions, nonprofits and governments with a mission to advance policies, technologies, and products that serve the needs of urban communities. A key tenet is encouraging investment in communities in order to advance sustainability, equity, mobility, and resilience in return for receiving intellectual property, new product ideas, and partnering opportunities with cities, beginning with the Bay Area. The founding members of Superpublic will be the City and County of San Francisco, UC Berkeley, City Innovate Foundation, and U.S. Government Services Administration, additional government organizations and industry founding members.City of San Francisco (CA)University of California, Berkeley
FHWA Value Pricing Pilot Project of E-Bikesharing and CarsharingThis project deploys and studies the linkage of e-bikesharing and carsharing services and how pricing impacts travel mode and choice in SF and the Bay Area as alternative to private vehicle use.City of San Francisco (CA)University of California, Berkeley
Bridge SF Hackathon and Conference Workshops and PanelsIn 2016, as part of the Bridge SF conference, co-hosted by ITS Berkeley, TSRC, and City Innovate, innovators participated in a hackathon to help under-served populations in the City have greater access to electric, connected, and automated mobility. This project is ongoing through a second phase in conjunction with SFMTA and the International Association of Transport Regulators at an upcoming IATR conference in San Francisco.City of San Francisco (CA)University of California Berkeley
Santa Fe Fire Department Mobile Integrated Health OfficersThis project will develop a high performing 911 and mobile health system responsive to the needs of Santa Fe’s residents through the assessment and delivery of preemptive heath care services and solutions. The goal will be to enable the Santa Fe Fire Department to ensure safety by providing prevention-focused and proactive health services such as identifying home hazards, assessing and correcting pharmacologic issues, and providing referrals to a variety of community resources.City of Santa Fe (NM)Santa Fe Institute
Santa Fe 25-Year Sustainability PlanThis project will deliver a sustainability plan to achieve carbon neutrality by 2040. In November 2014, the City of Santa Fe passed a resolution to attain carbon neutrality by 2040, and in 2015, refocused the efforts of the Santa Fe Commission to reduce greenhouse gas emissions and mitigate the effects of climate change. A goal will be to plan efforts in the areas of water, land use, transportation, and energy.City of Santa Fe (NM)Santa Fe Institute
Smart City Advisory CommissionThe Schenectady Smart City Advisory Commission (SSCAC), made up of leaders from government, entertainment, business, education, news media, and academic institutions have been meeting over the last several months to provide guidance to the City of Schenectady in the development and planning of their Smarter City efforts. Specifically, the Commission has helped to develop a Roadmap for a Smarter Schenectady which includes delivering efficient and accessible government services, leveraging predictive analytics to inform decision making, putting safety above all else, being a leader, providing easy access to all essentials needed to live, ensure connectivity for all, pursuing a socially responsible agenda, increasing revenue, committing to green and sustainable design principles and engaging with stakeholders in substantive and consistent ways.City of Schenectady (NY)University of Albany, SUNY
Reinventing Information Management Strategies for Vacant and Foreclosed PropertiesThis project will develop a theoretical and practical framework for shared information networks among cities. The goal will be to provide a deeper understanding of the information hubs, flows, and deficits throughout city departments that address vacant and foreclosed properties. Taking a sociotechnical approach, this project will capture information flow to and from those directly or indirectly related to managing vacant properties including code enforcement administrators, code/housing officials, assessors, finance officials, fire officials, and police officials. In addition, a survey for all city employees will assess administrative and policy information on city government operations.

This project has concluded the data collection process and initial findings were presented at the Association for Public Policy Analysis and Management (APPAM) conference in 2015. Initial findings from the research found that data among city departments is used mostly for administrative purposes on a case-by-case basis and informed decision-making comes from experienced code officials and not necessarily scientific data analysis. Further analysis of the collected data is currently taking place.
City of Schenectady (NY)University of Albany, SUNY
Combating Blight in the Capital Region and Mohawk Valley: Shared Code EnforcementThe Cities of Amsterdam, Gloversville, Schenectady and Troy have made significant progress in defining and modeling code enforcement-related programs, which together, help a city to fight urban blight. Through these programs, the cities have identified information and specific data elements they want to share. Upcoming work includes development and testing of the prototype shared regional resource and development of a governance and business model for the shared regional resource. Spin-off initiatives this past year include an experiential learning course offered between Albany Law School and the University at Albany. This course focused on identifying legal intervention options and development of a data model necessary to address urban blight in the City of Schenectady and City of Albany, New York. In addition, a Forum on Urban Blight, with national and local speakers, was simulcast this past year through to SUNY Universities throughout New York State for the purpose of energizing local dialogue on urban blight.City of Schenectady (NY)University of Albany, SUNY
Array of ThingsSeattle will be one of nine North American and global cities to participate in the Array of Things (AoT) project by locating ten AoT sensors around the City to provide real-time, location-based data about the city’s environment, infrastructure and activity to researchers and the public. Seattle’s local AoT project is a partnership between the City (including Dept. of Information Technology, Seattle Public Utilities, Seattle City Light and Department of Neighborhoods) that will own, locate and maintain the sensors, and the University of Washington that will collect and maintain the data. This initiative has the potential to provide a wide array of data that allows researchers, policymakers, developers and residents to work together and take specific actions, to help the City to operate more efficiently and realize cost savings by anticipating and proactively addressing potential problems like urban flooding.City of Seattle (WA)University of Washington
Power System Planning: Relationship Between Temperature Change and Planning CriteriaThe Seattle region has experienced unusual climate in the past few years. Power system planning criteria are directly based on expected maximum/minimum temperatures, and a shift in temperature patterns could significantly affect how the system should be designed. In this project, research will correlate the change in temperature with power system load data to detect relationships between temperature and electricity demand. In contrast to previous planning methods, where only total system load is considered and temperature from one location, research will use data from over 100 temperature sensors within Seattle to create a spatiotemporal map of how load is changing with respect to temperature. This picture will aid in developing new planning criteria by providing engineers with a clear idea of where resources should be allocated to adapt to the changing environment. Performing data analytics will also help engineers better understand factors contributing to load growth and whether recent observations reflect a temporary slowdown or a permanent trend.City of Seattle (WA)University of Washington
Increasing Access to Open Data While Protecting Data PrivacyGovernments like the City of Seattle generate vast amounts of data in the course of conducting business. This data can be used to assess performance, identify insights that can lead to improved service delivery, and enable Seattle’s more than 1,500 member civic technology community to develop innovative solutions. At the same time, this data potentially contains personal information that could cause privacy harm if shared publicly. The City and University of Washington have partnered to develop policies and procedures to make more data available through the city’s open data platform while protecting the public’s privacy. Through its partnership, Seattle and University of Washington will increase will increase the amount of data publicly available, enabling additional partnerships.City of Seattle (WA)University of Washington
EnFocus - Talent (Development/Retention) EcosystemIndiana has experienced a chronic problem of net outmigration of college graduates. Among the 50 states, Indiana graduates the 14th highest number of bachelor degree recipients, but is 48th in keeping those graduates in the state. In an effort to combat this brain-drain, City and University officials came together to address this issue by creating enFocus through a $3M endowment. The goal of the program is to centralize the recruiting of top graduates from local universities, equip them (with support, connections and mentors), and put them in a position to create meaningful solutions to community problems. The next step for the development of this talent ecosystem was forming a network for STEM collaboration between higher education, the public school system, and local residents. Developing this ecosystem builds capacity for smart cities projects, enabling residents to take part in participatory design and leading to broader community impacts for university.City of South Bend (IN)Notre Dame University
Wireless SandboxThe City of South Bend has committed $50,000 to leverage existing dark fiber infrastructure to provide free, reliable wireless internet access. One of the opportunities this investment creates is for a test bed for next-generation mobile wireless technologies that utilize the radio frequency (RF) spectrum. A major component of this collaboration is working alongside the Notre Dame Wireless Institute to deploy advanced wireless infrastructure for smarter cities. Through this initiative, South Bend and the Wireless Institute are already conducting wireless spectrum technology pilots and research and development projects with key players in the wireless industry. Next steps include a community-based planning project to develop a set of specific requirements for such a testbed. The project will create a focused requirements document that captures minimal technology, economic, and regulatory constraints for such a testbed to be truly meaningful, both now and in the future.City of South Bend (IN)Notre Dame University
Civic Analysis & Policy Engine (CAPE)In order to maximize outcomes in tight fiscal environments, cities must prioritize expenditures and evaluate the quality of policies and services they provide. Instead of snapshot ad hoc reports about the conditions of the city, South Bend and Notre Dame are developing a framework where data standards and standard models can enable the city to understand the efficiency and effectiveness of its services in a way that satisfies the scientific method, allowing for replication and peer-review. The initiative will coordinate activities in data analysis and data mining, advanced statistical modeling, and human-centric design to build this platform that enables good government with 21st century tools. The first stage includes an evaluation of the South Bend’s Vacant and Abandoned initiative.City of South Bend (IN)Notre Dame University
Pavement Condition IndexingThis research proposes to utilize the existing fleet of agency vehicles, and mount them with sensors to collect data on pavement conditions, and other traffic data, on a real-time basis. This will enable data to be collected on an as needed (or daily basis), instead of annually, since agency vehicles travel on several streets on a daily basis. These assets can be captured and transformed into an infrastructure for continuous data collection. Readily available and less costly sensors can provide data to be aggregated with data from all other agency vehicles to facilitate analysis and reporting.City of Washington (DC)Howard University
Urban Living LabsThe Urban Living Labs project focuses on creating a network of sensor hubs at several University campuses in the City. Focused currently on collecting environmental data on air quality and other ambient information such as air temperature, humidity, wind, pollutants, CO2 and barometric pressure, these data will be transported from the hubs and housed in a central Cloud-based repository. This effort will deploy several constituent components and organize them as an open science platform:
- urban sensor hubs and collection points: brokered access to multiple urban locations for deployments and access in the Washington DC Metropolitan Area to existing city sensors
- urban data repositories: brokered access to raw and curated data from numerous DC agencies maintained in a shared repository
- urban interconnects: a combination of the last mile connections with scalable high-performance connectivity for data collection, transport, aggregation and analytics
- Multi-Service eXchange (MSX)* an existing, compliant, high-performance processing and storage core with support for on-demand deployment of arbitrary endpoint applications and algorithms with federated access open to researchers and citizen scientists alike
City of Washington (DC)George Washington University
Identification of Future Decentralized Energy Districts and MicrogridsGeorgetown University is the lead university partner in a multi-partner research consortium supporting the District of Columbia Department of Energy and Environment to identify future potential decentralized energy districts beyond existing campus-based systems. This interdisciplinary research includes mapping of existing decentralized energy infrastructure, analysis of existing and future urban land uses and densities, analysis of legal constraints associated with utility regulations, identification of scenario-based business models, and associated applicable tools of public finance. Research and analysis is being coordinated between local and federal agencies, institutional campus owners, utilities and large-tract private redevelopment projects. Several of the candidate locations are associated with existing Eco-District planning initiatives.City of Washington (DC)Georgetown University
Optimizing Video Camera PlacementIn furtherance of the District’s Vision Zero transportation initiative, the Video Camera Placement project is performing data analytics to compare the location of video cameras against the location of multi-modal traffic and pedestrian incidents occurring in the City. The study will yield recommendations for optimal placement of cameras to analyze areas of recurring incidents that currently do not have cameras or which are producing data streams which are not actionable.City of Washington (DC)Georgetown University
Dynamic Local Government DashboardThis project will create a more dynamic dashboard with easy to understand system-wide analysis on environmental and sustainability matters. Case Western University and Cuyahoga County will collaborate with the Northeast Ohio Sewer District, the Cuyahoga Metropolitan Housing Authority, the City of Cleveland, local area development corporations and others to aggregate data around energy, water and food system. The goal will be to help meter, measure, analyze, update and communicate findings on an ongoing basis in ways that are understandable and meaningful to the public.Cuyahoga County (OH)Case Western University
Advanced Building Materials for Affordable HousingThis project will develop more energy efficient and affordable building materials for lower energy impact housing options in the Glenville neighborhood of Cleveland. In a partnership with Cuyahoga County and the Famicos Foundation, Case Western University researchers and engineers will utilize advanced materials and financial tools available to local government to help develop smarter, more energy efficient and affordable housing options for people. Cuyahoga County will reserve $750,000 in Qualified Energy Conservation Bonds from its Clean Energy Finance Hub and team up with Famicos on applying for the statewide Low Income Housing Tax Credit Application. Additionally the County will match up energy efficiency and renewable energy contractors for design assistance with the project.Cuyahoga County (OH)Case Western University
Mitigate Costal Flooding & Adapt to Sea Level RiseMiami-Dade County prepared county-wide reports addressing coastal flooding and long term adaptation to sea level rise. All three local governments have designed coastal flooding mitigation projects to address localized flooding from high tides and storm events, such as upgraded drainage and pumps in the City of Miami and elevated roadways and pumps in Miami Beach. FIU has created a Sea Level Solutions Center and UM has initiated research and design projects within the Schools of Architecture, Engineering, and the Rosenstiel School of Marine and Atmospheric Science. Under the Greater Miami and the Beaches Resilience Collaborative, partners work together to research, develop and deploy county-wide projects and facilitate intergovernmental approvals for projects. Academic partners will coordinate and facilitate independent research and class level applications in support of the local government efforts, utilizing a multi-college, interdisciplinary approach. Partners will be challenged to innovate practical solutions for both public and private sector application.Miami-Dade County (FL)Florida International University
Smart AgricultureThis project will transform the County’s agricultural reserve land into a financially sustainable vehicle for current and future local farmers who will utilize Internet of Things (IoT) technology to improve productivity. The County’s Innovation Program will collaborate with its partners to develop solutions by leveraging IoT technology to address the farmer needs. Project partners include Microsoft, Earth Networks, IoT Dev Labs, Link Labs, Fibertower, Patton Electronics, and University of Maryland Baltimore County.Montgomery County (MD)
Safe Community Alert (SCALE) NetworkThis project will bring the safety and security of connected devices to an independent senior living facility in Rockville, Maryland. The County’s Innovation Program will partner with the facility to pilot sensor devices in the homes of volunteer residents. The goal will be to address the needs of these seniors using IoT technology, sponsored by N5 Sensors, Victory Housing, UC Irvine, SigFox Wireless, SenseWare, IBM, ATT, Intel Security, Twilio, IoT DC, Massachusetts General Hospital, and Telemedicine Advanced Techology Research Center.Montgomery County (MD)
Living Community ShowcaseThis project will explore the re-imagination of common, public infrastructure as a platform for sensing and service delivery across domains. The goal will be to leverage infrastructure across multiple public sector domains to include that transit/transportation, law enforcement, libraries, etc. The County’s Innovation Program will partner with ATT, Machfu, Big Belly, Montgomery College, University of Maryland (College Park and Baltimore County) to re-imagine public infrastructure assets. The first phase will focus on integrating IoT into public transit assets to create a more adaptive and intelligent public transportation network in the County. Future phases will include examining water infrastructure, environmental management and physical security assets in the County.Montgomery County (MD)
Fleet Management of Large-Scale Connected and Autonomous Vehicles in Urban Settings This project is exploring real-time coordination of large-scale connected autonomous vehicles and advanced citywide wireless connectivity supported by Chattanooga’s advanced fiber optic network. The project investigates fleet management in extreme urban driving scenarios and addresses the corresponding challenges for connected autonomous vehicles. As identified in the report from the DARPA Urban Challenge, autonomous vehicles need to have access to each other’s information to plan safer and more efficient paths. For example, if an autonomous vehicle runs into a heavy storm, not only the GPS system might be affected, but also sensing capabilities (e.g., RADAR, LIDAR, and camera) might be decreased. In order to function safely, this vehicle needs to keep high-quality perception and situational awareness using data from other infrastructure and other vehicles. Accidents may have second-order effects, where if there is an accident on the planned route of the autonomous vehicle, real-time traffic information may be utilized for immediate motion and path planning. Early demonstration and evaluation will be conducted by researchers at the University of Tennessee at Chattanooga (UTC) and Georgia Tech Research Institute (GTRI).
City of Chattanooga (TN)
The University of Tennessee at Chattanooga (UTC), Georgia Tech Research Institute (GTRI)
Fiber Network for Smart Mapping, Monitoring and Managing Underground Urban Infrastructure This project researches the use of high speed urban telecommunication networks to sense conditions and improve management and usage of urban underground utility infrastructure, i.e. water supply, waste and storm water sewage, natural gas, electric, steam and telecommunications. The overall approach is to combine network-based sensing and data transmission to determine the location and state of underground infrastructure and provide that information in an appropriate, timely and secure format for the managers, planners and users.

Success with this research will enable cities to manage, maintain and grow their infrastructure in manners that improve service, sustainability and resilience, while reducing costs, energy consumption and wasted resources. Since many of the aging underground infrastructure lies in older cities often subjected to economic distress and decay, this project has the potential to provide basic human needs - clean drinking water, functional storm and wastewater sewers, heat, electricity and telecommunications. Additionally, there is significant potential for increased resilience and rapid effective management of recovery from disasters.
City of Chattanooga; City of Burlington VTUTC; University of Vermont (UVM)
Smart and Connected Communities-Planning: Health-Centric Urban MobilityUrban mobility is the movement of people and goods into and around increasingly congested cities. Scientific innovation and technological development help to make urban mobility safer and more affordable. Multiple transportation modalities can be observed to support current urban mobility. Even though there are visible achievements, the existing urban mobility still focuses more on the traditional goal of transport, with less emphasis on health. The goal of our planning project is to build a multidisciplinary team, including academic researchers from the University of Tennessee at Chattanooga (UTC), the University of Washington in Seattle (UW), and Portland State University (PSU), US Ignite and community stakeholders. The team will work together to plan a holistically integrative research on health-centric urban mobility that will bring a new mobility paradigm in the context of Smart and Connected Communities (S&CC). To achieve this goal, the team will have planning activities such as monthly video conferences, quarterly local community roundtables, Chattanooga/Portland summits, research capacity-building and citizen engagement challenge competition. Additionally, the cross-disciplinary team consisting of academic experts in transportation, health, environment, urban science, computer science, computational science, and data science along with the community stakeholders will identify innovative, sustainable, and economically viable options for truly health-centric urban mobility to improve quality of life in S&CC.City of Chattanooga; City of PortlandUTC; Portland State University (PSU); University of Washington (UW)
NFD AnalyticsNashville’s current emergency dispatch system assigns the nearest available resource using Euclidian distance to an incident when it is reported. This causes vehicles to respond to incidents well outside of their designated area and to funnel into downtown as the day progresses, leading to large response times when incidents occur in less central locations. In this project we create a new optimal dispatching system consisting of several techniques. We first exploit two years of incident data recorded by the Nashville Fire Department to train an incident prediction model. This model is created using three steps: (1) incidents are clustered into groups with similar characteristics, (2) survival analysis is applied to each group to determine when an incident of that cluster is likely to happen, and (3) a Bayesian network determines which groups of incidents are likely to happen given current conditions (including time of day, date, and weather). The result is a model that predicts when and where incidents are likely to occur. We then model the assignment of emergency vehicles to incidents as a dynamic vehicle routing problem. The prediction model informs the routing algorithm and allows it to make decisions based on where incidents are likely to occur next. This leads to shorter response times on average while reducing wear-and-tear on the vehicles, since they will be making more informed routing decisions.Metro Nashville & Davidson County
Vanderbilt University
Gulch Sensor ProjectAdvances in sensor, embedded computing, and information transfer technologies provide opportunities to collect and analyze large amounts of data on various aspects of city life. One such aspect is transportation: sensors can be used to collect vehicle and pedestrian information, including density and flow, throughout the city. This information can be used in real-time to help optimize routing, emergency response dispatching, and parking, while it can also be used historically to inform infrastructure planning such as new pedestrian walkway and roadway placement. This project takes the first steps toward implementing such a system for Nashville. We will place two clusters of embedded computers and sensors on adjacent intersections. Each cluster consists of 5 embedded computers (4 Raspberry Pi 3s and 1 Nvidia Jetson TK1) and 3 video cameras. The clusters perform image lassification on real time video to determine vehicle and pedestrian density at that location. The results are sent to a central server for additional real-time and/or future analysis. This pilot will provide opportunities to explore of the efficacy of various image classification techniques, implement real time and historical smart city analytics, and test distributed computing algorithms that will make smart city infrastructure feasible.Metro Nashville & Davidson County
Vanderbilt University
Transit Hub With the Transit-HUB app, Nashville residents, commuters, and visitors can plan trips using public transit, compare trip options, watch real-time bus locations, receive smart trip notifications, and get step by step navigation.Metro Nashville & Davidson County
Vanderbilt University
Connected Vehicle Pilot Deployment Program Performance Measurement and Evaluation Support: Tampa CV PilotIn 2016, the USDOT initiated three CV Pilot deployments in Tampa, Wyoming, and New York. These pilots are implementing CV technologies focusing on V2I, V2V and V2X. The Tampa CV Pilot includes several CV applications, deployed across the highway, transit, and pedestrian modes on a variety of facility and vehicle types. The Pilot aims to create a connected urban environment to measure the impact of CVs in Tampa’s vibrant downtown. CUTR is leading the performance evaluation measurement and support efforts. These measurements will be used to assess impacts of the Pilot Deployment and contribute to a national data repository on CV for use by global research partners in furthering the development, deployment and standardization of Connected Vehicle Technology. CV Pilot data will come from thirteen applications transmitting and receiving information, which will be saved by Onboard Units (OBUs) and transmitted to Roadside Units (RSUs) up to ten times per second. CUTR is developing in-house server software to carry out three functions: 1) personal identifiable information removal and upload to new public repository replacing the now deprecated Research Data Exchange (RDE) and U.S. DOT internal evaluation platform; 2) Performance measurement calculation and analysis; and, 3) performance reporting to relevant stakeholders through the Performance Measurement Evaluation Dashboard (PMED). Over the course of the deployment, the performance measurement and evaluation will rely on data coming from multiple sources: CV Pilot generated data and third-party generated data (e.g., Bluetooth, weather, log events, MOVES emission database, and other traffic data).
Florida Department of Transportation, City of Tampa, Hillsborough County, Tampa Hillsborough Expressway Authority, Hillsborough Area Regional Transit, and Hillsborough Community CollegeUniversity of South Florida
Development of Effective Truck Route Signing Program for City of TampaThe City of Tampa contains numerous truck traffic generators and destinations including two international shipping ports, industrial and commercial sites, numerous warehouses, a railroad inter-modal distribution center, and the Tampa International Airport. In addition, the City contains several historic neighborhoods including Ybor City and Hyde Park. All parties with an interest in trucking in the City were concerned about keeping truck traffic on appropriate roads. To guide truck drivers to drive on the designated truck route system and increase their compliance, The City of Tampa – Transportation Division would like to develop an effective citywide Truck Route Signing Program. The research team at the Center for Urban Transportation Research (CUTR) at the University of South Florida (USF) assisted the City in this important initiative by proposing and developing truck route signing program for the City of Tampa via a pilot study on selected sites. Through this project, CUTR conducted literature review, performed field investigation, designed truck route signage and experiment plan, conducted before and after study of implementing proposed signage, and evaluated their effectiveness of the proposed truck route signing program for the City of Tampa. The preliminary evaluation result showed that the proposed truck route signing program for the City of Tampa could effectively keep truck traffic on appropriate roads. The proposed program could help expand the economy of the Tampa Bay area and also preserve the quality of life within residential areas.
City of TampaUniversity of South Florida
Tampa Bay Smart Cities AllianceOver the past few years, there have been several regional efforts in the Tampa Bay area to apply for federal grants that would propel the Tampa Bay area forward as a cutting-edge smart city, including the U.S. DOT’s Smart City Challenge and Advanced Transportation and Congestion Management Technologies Deployment (ATCMTD) program. While the proposals have received high marks, they were not selected for funding. Out of these initiatives came a broader vision for bringing together a collaborative regional group to focus on near-term operational goals in the Tampa Bay area that will to continue to move the region forward in deploying cutting edge technologies that cut across multiple disciplines, including transportation, energy infrastructure, health, and more. This project will develop a holistic strategy to propel the region forward as a “Smart City” that will help strategically shape regional research, planning, and implementation. City of Tampa, Florida Department of TransportationUniversity of South Florida
Enhancing Cybersecurity in Public TransportationCybersecurity is a significant concern in all industries. Given the rapid adoption of technology in the area of automated and connected vehicles, transportation infrastructure is a particularly attractive target. The concern is so great that in 2013 the Florida Legislature requested the formation of the Florida Center for Cybersecurity , which named transportation as a key focus area. Public transportation vehicles (e.g., buses) are perhaps the most-exposed component of transit infrastructure—they carry a large number of individuals that are continuously entering and exiting and contain a constantly increasing number of different technologies that can be leveraged as potential attack vectors. Technology on-board a typical transit vehicle includes publicly accessible Wi-Fi networks, traffic signal preemption equipment that can be used to change traffic light timings, wireless fare payment technology interfaces (Near Field Communication, Bluetooth, and barcode scanning), automatic passenger counting systems, and connectivity with dispatch/command and control systems via a wireless modem or dedicated short range communications (DSRC). This project will identify and mitigate transit cybersecurity liabilities and facilitate ongoing cybersecurity information exchange among Florida transit agencies, their vendors, and cybersecurity researchers. This project will include a literature review of transit technologies and their potential vulnerabilities, a survey for transit agency staff for deployed technologies in Florida, organization of a Transit Cybersecurity Working Group, and workshops aimed to bring together the Florida Center for Cybersecurity, students of cybersecurity, cybersecurity researchers, and Florida transit agencies, to consider and evaluate the security of transit technologies.
City of Tampa, Florida Department of TransportationUniversity of South Florida
How Wilmington ComparesHow Wilmington Compares is a web-based data visualization tool that allows users to compare key social, economic and demographic indicators in Wilmington with those of comparable cities across the country. The site is populated by datasets gathered from sources including the United States Census, FBI and other sources as agreed upon and generated by How Wilmington Compares stakeholders and staff. The partnership will collaborate to rebuild and upgrade How Wilmington Compares in the coming year to add broader sourcing of data, more creative ideas for content and display, and more technological sophistication from cross-unit partnerships. These advancements are being made in an effort to make the tool as useful as possible for helping to run Wilmington. Wilmington, DelawareUniversity of Delaware
Mapping of Resources Available to Wilmington Students and FamiliesThe University of Delaware Institute for Public Administration (IPA) developed and is executing a data collection and analysis campaign to identify available resources, programs, and services available to children and their families living in low-income, high-need communities in the city of Wilmington. This data can be used to improve our understanding of where resources are currently deployed, where resources are needed, and where the people are who need the resources. Wilmington, DelawareUniversity of Delaware
Transient Student Population StudyThis study will examine transient migration patterns during the school year of low SES students enrolled in traditional public schools within the City of Wilmington. The study will use the unique student identifier numbers and associated data managed by Delaware Department of Education to track students who change schools multiple times over the course of academic years. The data will be analyzed for the purposes of (a) supporting legislative efforts to change school attendance statutes; (b) developing programs of prevention and remediation within the schools; and (c ) providing additional data to the Asset Mapping project and the Wilmington Education Improvement Commission.Wilmington DelawareDelaware State University
Homeless Prevention/ Eviction Diversion Program PilotThe goal of the program is to reduce the displacement of families and individuals from their homes through unfair and unnecessary eviction. Such evictions lead to increased financial burdens and sometimes homelessness of displaced occupants. The program will identify and seek a mutually beneficial resolution with landlords to allow occupants to remain in their homes by mediating late or outstanding rents and other payments owed by the tenant. The benefits of the program will be examined by conducting a Return on Investment and Cost Saving analysis to the community. To aid in record retrieval of imminent evictions filed with the Court, an automated, digital process for data entry and records management will be developed. Pilot data will support a proposal to the Ford Foundation and the William T. Grant Foundation.Guilford County, City of GreensboroUniversity of North Carolina- Greensboro
Screening, Brief Intervention, & Referral to Treatment (SBIRT) PilotThis pilot will adapt the SBIRT protocol used by health providers for identifying risk levels of alcohol and drug use for use in the field by local law enforcement and EMS. The project will explore the potential of using this approach to help first responders deal with substance use issues in the community and to direct persons suspected of alcohol and/or drug abuse to being assessed for possible treatment for their alcohol/substance use, with the goal of reducing costs of substance use disorders to the criminal justice and emergency medical systems in Guilford County. A training program will be developed to prepare a limited number of Sheriff’s Deputies and EMS personnel to conduct SBI and to guide users to see appropriate treatment services personnel. Pilot outcome and feasibility data will support an NIH proposal.Guilford CountyUniversity of North Carolina- Greensboro
Opioid Overdose Rapid Response Evaluation Data Repository SystemThis pilot will evaluate the implementation of a post reversal contact program designed to be delivered within seven to ten days of the reversal episode to individuals that refuse to receive substance use counseling. The goal is to reduce deaths from opioids, educate on dangers of opioids and use lifestyle, increase testing and medical referral for HIV and HepC, reduce stigma, and increase voluntary participation into detox and treatment. Moreover, this evaluation will involve the creation of a data hub for law enforcement, EMS, and other first responders as well as health systems and treatment programs to securely share information about overdose incidences. The intervention project is currently funded by an allocation from the NC General Assembly. Pilot outcome data regarding intervention outcomes will support a SAMHSA proposal.Guilford County, City of Greensboro, City of High PointUniversity of North Carolina- Greensboro
Gainesville Autonomous Shuttle Project (GAToRS)This autonomous shuttle project will consist of a shuttle between the University of Florida (UF) and Downtown Gainesville. The service will operate in regular traffic conditions. The service would address mobility needs downtown by connecting the UF and City on hours where transit service is limited. Project area is limited to SE 3rd Street, 5th Avenue, Newell Drive and University Avenue.City of GainesvilleUniversity of Florida
Evolving Community Para-medicine to Meet Changing NeedsIn order to address the disproportionately small number of people that generate a high volume of 911 calls and the city's subsequent deployment of expensive Fire/EMS assets to non-emergency issues, this challenge idea proposes a three-part prototype:
1. Insert behavioral insights into care choices by using data to frame choices that lead to healthier individual behavior
2.Conduct operational experiments in collaboration with healthcare system partners (i.e., fire station, vehicle and personnel utilization)
3.Create a “playbook” for other communities to develop their own Behavioral Insight and 911 Response program based upon open architecture, open source, and human centered design tools
City of GainesvilleUniversity of Florida
Streetlight Interoperability ProjectThe City and University are working together on joint standards for streetlights and in the future will develop data interoperability standards for streetlight deployments. We hope to leverage the work of other cities who have attempted to tackle this in the past.City of GainesvilleUniversity of Florida
Project NameShort Project Description (250 Words)Local Government(s) InvolvedUniversity/Universities Involved
Exploring Innovations in Regional Food Distribution ProjectThe goal of this project is to inform the development of more flexible, inclusive, resilient, and sustainable regional food distribution systems. Research suggests that regional food distribution shows promise for promoting socioeconomic and agroecological resilience by buffering regions from "disturbances and shocks that can be transmitted through global supply chain networks". In addition, if logistics and fuel-efficiency are optimized, regional distribution systems have the potential to reduce greenhouse gas emissions while strengthening rural-urban linkages by expanding regional producers' access to urban markets' and residents' access to affordable, regionally-sourced products. Enhancing the modularity and diversity of regional food production and distribution will be crucial to fostering more socio-economically sustainable and climate resilient food systems.This project is comprised of four phases: 1) National case studies of best practices in sustainable regional food distribution, 2) Stakeholder interviews and focus groups on barriers and opportunities to implementing best practices identified in the first phase of the study, 3) Systems analysis of food distribution in the Midwest Global City Region, and 4) Dissemination.Madison, WIUniversity of Wisconsin - Madison
Use of EMS Data to Predict Areas with High Risk for Opioid OverdosesThe City of Providence is working to address the opioid epidemic using data-driven strategies. Currently, the State of RI uses hospital and fatality data to describe the magnitude of the opioid epidemic. The challenge with hospital data is inconsistent reporting and lack of granularity. The challenge with fatality data is the lengthy processing time of post-mortem toxicology reporting. In contrast, Emergency Medical Services (EMS) data capture non-fatal overdoses and are available immediately.

The Providence Fire Department (PFD) recently rolled out Providence Safe Stations, a program aimed at connecting clients with a substance use addiction directly to recovery services, bypassing costly and unnecessary use of emergency department services. The goals of this project are to quantify the magnitude of the epidemic and to predict areas where opioid overdose risk is high. Findings will also assist the City in refining its outreach strategy for Safe Stations; and use the intelligence to target areas where overdose prevention efforts are needed most.

Successful execution of the project has required buy-in and expertise from multiple parties. PFD supported the program by making its EMS data available and assigning an expert rescue officer to the project. The City’s Healthy Communities Office provided a data manager who used text analytics to conduct a comprehensive search for opioid overdose cases in the City’s EMS database. PFD then shared the data with the University of Pennsylvania, where students in the Urban Spatial Analytics Program are using predictive modeling to identify high opioid overdose risk areas.
City of ProvidenceUniversity of Pennsylvania
Columbia Pike Traffic AnalysisVirginia Tech researchers teamed with the Department Environmental Services (Transportation) and the Department of Technology Services will fuse existing traffic data and other data from the Columbia Pike corridor to derive new insights. Columbia Pike is one of the busiest bus corridors in the Commonwealth. Initially, the focus will be on exploring the corridor’s efficiency and throughput. Research will make some recommendations for operational efficiencies, e.g. travel time savings and on-time bus reliability service improvements. This project may expand to include analysis of additional modes of transportation (bicycle and pedestrian) and the deployment of environmental sensors.Arlington County, VAVirginia Tech
Engineering Smart Cities Capstone Design ProjectsThese projects are part of the two-semester senior capstone design project program offered by the Virginia Tech Electrical and Computer Engineering (ECE) department. Faculty from the National Campus Region and from the Blacksburg campus mentor teams to complete a significant hardware, or hardware-related software project sponsored by industry, government or university research organizations. The goals will be to improve sensing and control of infrastructure and increase building energy efficiency and environmental quality in the County. Students will have an “industry–like” experience emphasizing technical, management and professional development in the Smart County/IoT technologies space.Arlington County, VAVirginia Tech
Community Learning Data Driven DiscoveryToday there are unprecedented opportunities for local government programs and departments to create an integrated data-driven community learning environment that can benefit from cross-departmental sharing of data, ideas, and interventions. Virginia Tech is working with government leaders in Arlington County to implement our “Community Learning” framework (see https://www.bi.vt.edu/sdal/about/community-learning-data-driven-discovery ). The first phase of the project developed a sustainable data framework that encapsulates a general approach for re-purposing existing local data, from discovery to analysis to inference. In the second phase, government leaders were brought together for a Data Discovery Workshop to gain exposure to data-driven governance in-action and define issues and supporting cross-program data that could provide insights.

In the current phase, we are collaborating to address specific questions using the scientific method, hypothesis generation, and the principles of experimental design. The Department of Human Services wants to develop a comprehensive picture of who they serve and the services they provide. This will be used to assess if they are meeting the needs of these individuals and families. The Deputy County Manager for Communications would like to improve customer service across departments and to evaluate the options for moving from decentralized to centralized call centers. The Police Department is implementing new low-arrest and high-touch policing strategies in partnership with multiple government departments and commercial establishments. The county board would like to understand the economic return on these investments.

For examples of Community Learning projects, see https://www.bi.vt.edu/sdal/projects For additional examples, see Virginia Tech Data Science for the Public Good projects: https://www.bi.vt.edu/sdal/careers/call-for-students/student-poster-presentations
Arlington County, VAVirginia Tech
Workforce Training and Professional DevelopmentHealth and Human Services (HHS) employees will receive training on the latest trends and solutions in the data science area, directly applicable to HHS needs and projects. More specifically, topics will include:
- data as an asset
- data organization & management
- data analytics
- prediction
- data visualization
- data life-cycle / How to tackle a data driven project

Tools and methods, directly applicable to HHS will be introduced.
Fairfax County (VA)George Mason University
Health and Human Services Community Needs Assessment: Prioritization ProcessThe 2019 Health and Human Services Needs Assessment (Assessment) will provide community leaders a snapshot of demographics trends and needs in Fairfax County. The Assessment is one tool within the Health and Human Services strategic framework that is committed to a coordinated and targeted approach to address challenges and improve outcomes across the county. The 2019 Assessment will take a deeper dive into the needs of the community; by building upon the data in the previous 2016 Assessment to identify gaps across the county, prioritize areas of need, and identify opportunities for improvement.

Assessment objectives include:
▪ identify the strengths and challenges of our communities
▪ make recommendations for policy, system, and environmental changes
▪ facilitate transparency and communication with the community and stakeholders, and
▪ guide decisions at various levels across the organization
Fairfax County (VA)George Mason University
Assessing Outcomes for Residents and CommunitiesThe purpose of the Fairfax County Health and Human Services Report Card is to summarizes the impact of HHS strategies and identify where progress is being made, where progress is not being made, and why. The data collected must be shared in a format to ensure information is understandable and actionable for county leadership and program staff.Fairfax County (VA)George Mason University
%d bloggers like this: