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Project NameShort Project Description (250 Words)Please list research questions being addressed by this project. Local Government(s) InvolvedWhat sources of funding are you using for this project?Local Government Contact(s)Local Government Contact email(s)University/Universities InvolvedUniversity Contact(s)University Contact(s) EmailUniversity Department(s) InvolvedPlease list any additional organizations involved in the project. Additional Links
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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)Kristanne Littlefieldklittlefield@arlingtonva.usVirginia Tech, National Capital RegionKevin Heaslipkevin.heaslip@vt.eduCivil and Environmental Engineering
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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)Kristanne LittlefieldKlittlefield@arlingtonva.usVirginia Tech, National Capital RegionSanjay Ramansraman@vt.eduElectrical and Computer Engineering
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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)Jim Schwartz, Andrea MorrisJschwa@arlingtonva.us, AYmorris@arlingtonva.usVirginia Tech, National Capital RegionSallie Kellersallie41@vbi.vt.eduBiocomplexity Institute, Social and Decision Analytics Lab
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Crystal City Sensor NetworksThis project will create a partnership between Arlington County, Virginia Tech and real estate developer Vornado/Charles E. Smith to implement and share data from rooftop sensor devices deployed in Crystal City, an urban neighborhood south of Downtown Washington D.C. The goal will be to monitor energy and environmental parameters from which sensor data will be delivered to Virginia Tech researchers via the County’s Connect Arlington fiber network.Arlington County (VA)Kristanne LittlefieldKlittlefield@arlingtonva.usVirginia Tech, National Capital RegionSanjay Ramansraman@vt.eduElectrical and Computer Engineering
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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)Torri Martin, Becky Katzttmartin@atlantaga.gov, bkatz@atlantaga.govGeorgia Institute of TechnologyKari Watkins, Chris LeDanteckari.watkins@ce.gatech.edu, ledantec@gatech.eduCivil EngineeringAtlanta Regional Commission, Atlanta Bicycle Coalition
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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)Torri Martinttmartin@atlantaga.govGeorgia Institute of TechnologyJennifer Clarkjennifer.clark@gatech.eduCenter for Urban Innovation
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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)Torri Martinttmartin@atlantaga.govGeorgia Institute of TechnologyJennifer Clark, Carl DiSalvo, Thomas Lodatojennifer.clark@gatech.edu, cdisalvo3@gatech.edu, thomas.lodato@gatech.eduCenter for Urban InnovationPublic Design Workshop at Georgia Tech, TAT Lab at the University of Washington
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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)Torri Martin, Matt-Hinds-Aldrichttmartin@atlantaga.gov, mhinds-aldrich@atlantaga.govGeorgia Institute of Technology, Georgia State University Public Safety – Atlanta Fire & Rescue (AFR)Bistra Dilkina, James Weyhenmeyerbdilkina@cc.gatech.edu, jweyhenmeyer@gsu.eduComputational Science and Engineering
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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)Torri Martinttmartin@atlantaga.govGeorgia State UniversityVolkan Topalli, Ann-Margaret Esnardvtopalli@gsu.edu, aesnard@gsu.eduCriminal Justice & Criminology, Public Management & Policy
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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 AustinJennifer Duthiejduthie@mail.utexas.eduNetwork Modeling Center, Center for Transportation Research
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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)Jim Dalejim.dale@austintexas.govUniversity of Texas at AustinJennifer Duthiejduthie@mail.utexas.eduNetwork Modeling Center, Center for Transportation Research
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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)Jim Dalejim.dale@austintexas.govUniversity of Texas at AustinJennifer Duthiejduthie@mail.utexas.eduNetwork Modeling Center, Center for Transportation Research
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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 BaltimoreMagui Cardona, Ron Castanzomcardona@ubalt.edu, rcastanzo@ubalt.eduSciences, Information Arts & Technologies
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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)Marianne NavarroMarianne.Navarro2@baltimorecity.govJohns Hopkins UniversityBeth BlauerBblauer1@jhu.eduCenter for Government ExcellenceBaltimore City Health Departmenthttp://dashconnect.org/2016/08/04/engaging-neighborhoods-to-use-data-for-fall-prevention/
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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 UniversityBeth BlauerBblauer1@jhu.eduCenter for Government Excellence
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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 BaltimoreMagui Cardona, Wolf Pechermcardona@ubalt.edu, wpecher@ubalt.eduScience, Information Arts and Technologies University of Maryland Center for Environmental Science (UMCES), Institute of Marine & Environmental Technology (IMET)
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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 BaltimoreMagui Cardona, Seema Iyermcardona@ubalt.edu, siyer@ubalt.eduJacob France Institute
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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 UniversityBeth BlauerBblauer1@jhu.eduCenter for Government Excellence
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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.Understanding the root causes for near-collision events could enable local governments to take proactive, corrective actions to reduce the potential for future crashes. In addition to the potential for saving lives by predicting where collisions could happen and working proactively to prevent them, the video analytics system under development could be leveraged to measure how well roadway investments have improved safety rates. The data points and metrics we are developing through this partnership will also enable cities to document how well they are progressing in meeting their Vision Zero goals. In recognition of its data program and this video analytics partnership, the City of Bellevue received a 2016 Safer People Safer Streets Initiative award from the USDOT and former Secretary of Transportation Anthony Foxx.City of Bellevue (WA)Public and PrivateFranz Loewenherzfloewenherz@bellevuewa.govUniversity of WashingtonYinhai Wangyinhai@uw.eduCivil EngineeringWhat began as a partnership between the City of Bellevue, Microsoft, and the University of Washington has attracted the active participation of the following additional organizations:

Government: The U.S. cities of Los Angeles and San Francisco, CA, New York, NY, Gainesville, FL, and Seattle and Redmond, WA; Snohomish County in WA, and Washington State Department of Transportation; and the cities of Calgary, Vancouver, and Hamilton in Canada.

Non-Profit: The Institute of Transportation Engineers (ITE), Intelligent Transportation Society of America (ITS America), Vision Zero Network, Cascade Bicycle Club, and People for Bikes.

Research: Portland State University, University of British Columbia, McGill University, École Polytechnique de Montréal, and Lund University.
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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 UniversityDahianna Lopez, Dan O'Briendsl654@mail.harvard.edu, d.obrien@neu.eduSchool of Public HealthBoston Area Research Initiative
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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 UniversityDan O’Briend.obrien@neu.eduBoston Area Research Initiative
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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 UniversityNancy Hillnancy_hill@gse.harvard.eduGraduate School of Education
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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 UniversityAzer Bestavrosbest@bu.eduComputing and Computational Science & EngineeringBoston Area Research Initiative, Boston Women’s Workforce Council, 60 Boston employers, the BU Initiative on Cities, and the National Science Foundation
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"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 UniversityDan O’Briend.obrien@neu.eduBoston Area Research Initiative
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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 UniversityChristos Cassandras, Ioannis Paschalidiscgc@bu.edu, yannisp@bu.eduSystems Engineering and Electrical and Computer EngineeringBoston Area Research Initiative
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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)David Driskelldriskelld@bouldercolorado.govUniversity of ColoradoBrian Mullerbrian.h.muller@colorado.eduRenewable and Sustainable Energy Institute (RASEI), ATLAS Institute, the Sustainability Innovation Lab (SILC)
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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)David Driskelldriskelld@bouldercolorado.govUniversity of ColoradoBrian Mullerbrian.h.muller@colorado.edu
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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)Sarah AndersonSarah.Anderson@denvergov.orgUniversity of ColoradoBrian Mullerbrian.h.muller@colorado.edu
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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)David Driskelldriskelld@bouldercolorado.govUniversity of ColoradoBrian Mullerbrian.h.muller@colorado.edu
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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)Beth Andersonbanderson@burlingtonvt.govUniversity of Vermont
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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)Ron Redmondrredmond@burlingtonvt.govUniversity of VermontCommunity Development & Economics, Statistics
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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)Beth Andersonbanderson@burlingtonvt.govUniversity of Vermont
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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)Rob Phocasrphocas@charlottenc.govUniversity of North Carolina at CharlotteRobert CoxRobert.Cox@uncc.edu
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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)Rob Phocasrphocas@charlottenc.govUniversity of North Carolina at CharlotteRick Hudsonrhudson@uncc.edu
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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)Rebecca Heffnerrheffner@charlottenc.govUniversity of North Carolina at Charlotte
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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 grant has been funded at the full request from NSF/US Ignite in the amount of $600,000 for three years beginning January 2017. This work is also partially funded by the Tennessee Higher Education beginning July 2016 for two years. Blythe Baileybbailey@chattanooga.govThe University of Tennessee at Chattanooga (UTC), Georgia Tech Research Institute (GTRI)UTC: Dr. Mina Sartipi; GTRI: Alexander Samoylov & Dr. Gary McMurraymina-sartipi@utc.edu; Alexander.Samoylov@gtri.gatech.edu; Gary.McMurray@gtri.gatech.eduComputer science and engineering; Mechanical engineeringThe Enterprise Center, EPB
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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 and the University of Vermont were awarded $600,000 for three years beginning January 2017.City of Chattanooga: Justin Holland; City of Burlington: Beth Andersonjholland@chattanooga.gov; banderson@burlingtonvt.govUTC; University of Vermont (UVM)UTC: Dalei Wu; UVM: Dryver Hustondalei-wu@utc.edu; dhuston@uvm.eduDepartment of Computer Science and EngineeringThe Enterprise Center, Electric Power Board (EPB), Tennessee American Water
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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 PortlandThis project has pending award of NSF funding in the amount of $100,000.
City of Chattanooga: Michael Baskin; City of Portland: Dr. Christine Kendrick mbaskin@chattanooga.gov; Christine.Kendrick@portlandoregon.govUTC; Portland State University (PSU); University of Washington (UW)Dr. Mina Sartipi; Dr. Gregory Heath; Dr. Kidambi Sreenivas; Dr. Kristin Tufte; Dr. Andrew DannenbergMina-Sartipi@utc.edu; Gregory-Heath@utc.edu; Kidambi-Sreenivas@utc.edu; tufte@pdx.edu; adannen@uw.edu Computer Science and Engineering; Computational Science and Engineering; Health and Human Performance; Environmental and Occupational Health Sciences; Urban Design and Planning The Enterprise Center; US Ignite
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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)National Science Foundation, John D. and Catherine T. MacArthur Foundation, Bloomberg PhilanthropiesUniversity of ChicagoKate Kusiak Galvinkatekusiak@uchicago.eduUrban Center for Computation and Data
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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)National Science Foundation, Argonne National Laboratory, University of Chicago, City of Chicago, Northern Illinois University, University of Illinois Urbana-Champaign, over 15 additional Universities and Cities signed on as pilot partnersUniversity of ChicagoKate Kusiak Galvinkatekusiak@uchicago.eduUrban Center for Computation and Data
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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)National Science Foundation, John D. and Catherine T. MacArthur Foundation, University of Chicago, the City of Chicago.Tom SchenkTom.Schenk@cityofchicago.orgUniversity of Chicago
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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)Sherry Kishsrkish@columbus.govOhio State University
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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)Sherry Kishsrkish@columbus.govOhio State UniversityUmit Ozgunerozguner.1@osu.eduElectrical and Computer Engineering
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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)Shoreh Elhamishelhami@columbis.govOhio State University
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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 DallasNic Gansngans@utdallas.eduElectrical Engineering
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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 UniversityKhaled Abdelghanykhaled@lyle.smu.edu
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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 ArlingtonJohn Priestjpriest@exchange.uta.edu
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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)Sarah AndersonSarah.Anderson@denvergov.org, University of ColoradoBrian Mullerbrian.h.muller@colorado.edu
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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 UniversityJeffrey Ramaa2234@wayne.edu
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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)Susan Burrowsburrowss@detroitmi.govWayne State UniversityUniversity of Vermont Spatial Analysis Lab, the USDA Forest Service
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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 UniversityLawrence Lemkeap3968@wayne.eduDetroit Environmental Affairs, the Detroit Public Lighting Authority
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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)Great Lakes Protection FundWayne State UniversityCarol Millerab1421@wayne.edu
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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
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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
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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
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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)Jesse BoundsJesse.Bounds@houstontx.govRice UniversityHeather O'Connellhoconnell@rice.edu
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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)Frank BraccoFrank.Bracco@houstontx.govRice UniversityHeather O’Connellhoconnell@rice.edu
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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)Jesse BoundsJesse.Bounds@houstontx.govRice UniversityKyle Sheltonkyle.k.shelton@rice.edu
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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)Bill KillingsworthBillk@coj.net
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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)Bill KillingsworthBillk@coj.net
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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)Bill KillingsworthBillk@coj.net
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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 KansasMatt Kleinmannmkleinmann@ku.edu
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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)Eric RocheEric.Roche@kcmo.orgDominique Davidsonddavidson@planitimpact.comPlanIT Impact
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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)Aaron Deaconadeacon@kcdigitaldrive.orgUniversity of Missouri – Kansas City, University of KansasPaola Sanguinettipaolas@ku.eduKC Digital Drive
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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)Kathleen GarmanKathleen.Garman@kcmo.orgUniversity of Missouri – Kansas CityTony Luppinoluppinoa@umkc.eduSchool of Law
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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 KansasShannon Crissscriss@ku.eduArchitecture
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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)Juan VasquezJuan.vasquez@lacity.orgCalifornia State University Los Angeles
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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)Juan VasquezJuan.vasquez@lacity.orgCalifornia State University Los Angeles
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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)Juan VasquezJuan.vasquez@lacity.orgCalifornia State University Los AngelesComputer Science, Big Data
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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)Dan SeidenstickerDSeidensticker@cityofmadison.comUniversity of Wisconsin - MadisonEric Sundquisterics@ssti.us
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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)Milena BernardinelloMBernardinello@cityofmadison.comUniversity of Wisconsin - MadisonDavid Longddlong@wisc.edu
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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)Phil Gaeblerpgaebler@cityofmadison.comUniversity of Wisconsin - MadisonAnita Thompsonamthompson2@wisc.edu
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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)Jeanne HoffmanJHoffman@cityofmadison.comUniversity of Wisconsin - MadisonGiri Venkataramanangiri@engr.wisc.eduElectrical and Computer Engineering, Computer Science, Business
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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)Kristen Romankroman@cityofmadison.comUniversity of Wisconsin - MadisonDan Grupegrupe@wisc.eduCenter for Healthy Minds
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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 - MadisonChris McCahill, Eric Sundquistmccahill@ssti.us, erics@ssti.us
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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 MemphisBrent NairBrent.nair@memphistn.govUniversity of MemphisBonny Banerjeebbnerjee@memphis.eduElectrical and Computer Engineering
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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)Brent NairBrent.nair@memphistn.govUniversity of MemphisNaveen Kumarnkumar7@memphis.eduBusiness Information and Technology
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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)Dr. Stephanie Tashirostashiro@miamigov.comUniversity of Miami, Florida International University, Miami-Dade College
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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)Leslie Rosenfeldleslierosenfeld@miamibeachfl.govUniversity of Miami, Florida International University, Miami-Dade College
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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)Wes Saunders-Pearcewes.saunders-pearce@ci.stpaul.mn.usUniversity of MinnesotaRobert Johnsjohns003@umn.edu
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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)Jon Wertjes, Lisa Austinjon.wertjes@minneapolismn.gov, lisa.austin@state.mn.usUniversity of MinnesotaFrank Doumadouma002@umn.eduPublic Affairs
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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)Michael RogersMichael.Rogers@co.ramsey.mn.usUniversity of MinnesotaThomas Fishertfisher@umn.edu
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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. The project seeks to understand multiple dimensions in equity, including inequality and access to the seven infrastructure services; inequality and consumption of the above services with respect to hotspots of high energy and water use; inequality and exposure to multiple risks like heat, pollution, and flooding; and inequity of public investments.City of Minneapolis (MN), City of Saint Paul (MN)National Science FoundationAna Vangana.vang@ci.stpaul.mn.usUniversity of MinnesotaAnu Ramaswamianu@umn.eduHumphrey School of Public Affairs
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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.1. What are areas of strength and concern regarding racial equity with the City Attorney's Office span of control?
2. How can we ensure the new case management system is utilized in a way that supports efficient and effective ongoing racial equity data collection?
3. How can the City Attorney's Office best prioritize resources in addressing racial equity?
City of Minneapolis (MN), City of Saint Paul (MN)University of MinnesotaCassi Johnson, Matt Larsoncassi.johnson@ci.stpaul.mn.us, matt.larson@ci.stpaul.mn.usUniversity of MinnesotaClaudia Neuhauserneuha001@umn.eduUniversity of Minnesota Informatics Institute
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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 UniversityKim Alfredkim.alfred@nyu.edu
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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)Jeff Merrittjmerritt@cityhall.nyc.govNew York UniversityKim Alfredkim.alfred@nyu.edu
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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 UniversityAndrew Smythaws16@columbia.eduCivil Engineering and Engineering Mechanics
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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 UniversityEsther Fuchsef25@sipa.columbia.edu
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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)Seth Wainerwainers@ci.newark.nj.usNew Jersey Institute of TechnologyTom MotykaThomas.motyka@njii.com
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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)Tom MotykaThomas.motyka@njii.comNew Jersey Institute of Technology (NJIT), NJIT Enterprise Development Center (EDC) company Cyberextrude, the New Jersey Transit Authority
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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)Seth Wainerwainers@ci.newark.nj.usNew Jersey Institute of TechnologyTom MotykaThomas.motyka@njii.comIBM Corporation, Panasonic NA, the New Jersey Innovation Institute (NJII) board members
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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)Chris Castrochris.castro@cityoforlando.netUniversity of Central FloridaOmer Tataritatari@ucf.eduCivil, Environmental, and Construction Engineering
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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)Chris Castro, Charles A. Ramdattchris.castro@cityoforlando.net, ramdatt@cityoforlando.netUniversity of Central FloridaAhmed Radwan, Omer Tatariahmed.radwan@ucf.edu, tatari@ucf.eduCivil, Environmental, and Construction Engineering
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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)Charles A. Ramdattramdatt@cityoforlando.netUniversity of Central FloridaAhmed Radwanahmed.radwan@ucf.eduCivil, Environmental, and Construction Engineering
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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)Grant Ervingrant.ervin@pittsburghpa.govUniversity of PittsburghDr. Greg Reedgfr3@pitt.edu
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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)Debra Lamdebra.lam@pittsburghpa.govCarnegie Mellon UniversityRick Staffordrstaff@andrew.cmu.edu
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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)Debra Lamdebra.lam@pittsburghpa.govCarnegie Mellon UniversityRick Staffordrstaff@andrew.cmu.edu
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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)Grant Ervingrant.ervin@pittsburghpa.govUniversity of PittsburghDr. Greg Reedgfr3@pitt.edu
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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)Debra Lamdebra.lam@pittsburghpa.govCarnegie Mellon UniversityRick Staffordrstaff@andrew.cmu.edu
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