Represents Grant table in the DB

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        {
            "type": "Grant",
            "id": "723",
            "attributes": {
                "award_id": "2100754",
                "title": "Helping Earth and Environmental Science Programs in Changing Times: Virtual Traveling Workshops and Expanding the Conversation about Diversity, Equity and Inclusion",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Geosciences (GEO)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 1685,
                        "first_name": "Brandon",
                        "last_name": "Jones",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
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                    }
                ],
                "start_date": "2021-01-15",
                "end_date": "2022-12-31",
                "award_amount": 59858,
                "principal_investigator": {
                    "id": 1686,
                    "first_name": "Reginald",
                    "last_name": "Archer",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
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                    "affiliations": [
                        {
                            "id": 376,
                            "ror": "https://ror.org/01fpczx89",
                            "name": "Tennessee State University",
                            "address": "",
                            "city": "",
                            "state": "TN",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 376,
                    "ror": "https://ror.org/01fpczx89",
                    "name": "Tennessee State University",
                    "address": "",
                    "city": "",
                    "state": "TN",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "All of education is transitioning to increased reliance on virtual formats. Distance education pre-dates the internet but has had to accelerate to near-ubiquity since the COVID-19 pandemic began. The pandemic has highlighted and exacerbated inequities in the educational system, including access to virtual learning opportunities. Educators are struggling with how to address these inequities. NAGT gained experiential knowledge about virtual events when it held the annual Earth Educators’ Rendezvous virtually in July 2020 and two virtual training workshops (TW) in September 2020. The proposed TW will explore techniques for keeping participants engaged virtually and for facilitating difficult conversations regarding root causes of inequality and underrepresentation in the Earth and environmental sciences. The training workshop (TW) will help TSU, NAGT and its participating educators and educational institutions to strengthen STEM education, transform Earth and environmental education and prepare a greater diversity of students to consider jobs and careers connecting the Earth and society --a great need in the U.S. workforce. Lack of diversity is a challenge in the Earth and environmental sciences even more so than some other STEM fields. Consideration of the racial and societal contexts of Earth education leads to discussion of environmental justice and can help to attract students from underrepresented populations into Earth and environmental fields. The project goals are to expand access by converting TWs into an online format, incorporating more focus on diversity, equity and inclusion (DEI), transform workshop materials and websites, and prepare facilitators to conduct these workshops. Each TW fully incorporates evaluation by the workshop participants that will help to determine how techniques learned in the workshop are incorporated into facilitation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "722",
            "attributes": {
                "award_id": "2115164",
                "title": "Collaborative Research: National Symposium on PRedicting Emergence of Virulent Entities by Novel Technologies (PREVENT)",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Computer and Information Science and Engineering (CISE)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 1683,
                        "first_name": "Mitra",
                        "last_name": "Basu",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-02-01",
                "end_date": "2021-09-30",
                "award_amount": 15624,
                "principal_investigator": {
                    "id": 1684,
                    "first_name": "John",
                    "last_name": "Yin",
                    "orcid": "https://orcid.org/0000-0001-6146-0594",
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": "['https://yin.discovery.wisc.edu/', 'https://news.wisc.edu/research-on-viral-junk-quicker-drug-testing-could-help-ou…', 'https://www.youtube.com/watch?v=0OI9_B76gN4&feature=youtu.be', 'https://www.youtube.com/watch?v=-4LCDNgaSPE']",
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 263,
                            "ror": "",
                            "name": "University of Wisconsin-Madison",
                            "address": "",
                            "city": "",
                            "state": "WI",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 263,
                    "ror": "",
                    "name": "University of Wisconsin-Madison",
                    "address": "",
                    "city": "",
                    "state": "WI",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "In the past year, the ongoing COVID-19 pandemic has severely disrupted the livelihoods of our planet’s human inhabitants, infecting over 85 million individuals, and causing nearly 2 million deaths. What actions might have been taken to minimize the severity of this pandemic (and others before it in the past decades such as Zika, SARS and Ebola)? In retrospect, many actions could have played key roles: environmental monitoring for potential animal-to-human infection spillovers, establishment of pipelines for rapid vaccine development and optimal deployment and distribution, designing data-science tools to accurately forecast trajectories, fast and adaptive syndromic surveillance and behavior tracking, designing and timing effective interventions, training susceptible individuals for measures needed to inhibit the spread of infectious agents, and others. What lessons have been learned and what gaps in our knowledge, methodologies, technologies, and policies remain? The investigators propose a two-day multi-disciplinary National Symposium on PRedicting Emergence of Virulent Entities by Novel Technologies (PREVENT) to begin to address these and related challenges. As a whole the highly interdisciplinary organizing team has significant experience in various aspects of the topics touched upon by this symposium. Bridging fundamental gaps in what is known (and perhaps even what is knowable) can require coordination that goes far beyond sharing of instruments, standardization, or the exchange of methods and data; these define broader societal challenges of complex problems beyond pandemic prediction. This meeting will help enable coordinated team-science efforts that can assist in bringing disparate groups together, whether in small teams or large teams, including bringing in the public as citizen scientists.Key in fostering convergence for predictive intelligence for pandemic prevention will be co-envisioning computing, science and engineering in ways that are integrated across disciplines so that community efforts are optimally suited to (and nimbly able to) respond to and prevent new pandemics. The symposium has been structured around four themes and perspectives: Molecular, Physiological, Population/Epidemiological and End-end/Multi-scale.  The proposed meeting will provide a valuable opportunity for the community to begin to build the necessary convergence. A combination of plenary talks, short talks, panel discussions and small breakout thought sessions will be used to help achieve these aims. For several significant reasons, predictive intelligence for pandemic prevention stands to benefit by drawing upon convergent computation, science and engineering insights alongside traditional disciplinary repositories of expertise.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "721",
            "attributes": {
                "award_id": "2044055",
                "title": "SCC-CIVIC-PG Track A: Jitney+: Redesign of a Legacy Mobility Service for Lower-income Communities in the Post-COVID Digital Age",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Computer and Information Science and Engineering (CISE)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 1677,
                        "first_name": "David",
                        "last_name": "Corman",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-01-15",
                "end_date": "2022-06-30",
                "award_amount": 49938,
                "principal_investigator": {
                    "id": 1682,
                    "first_name": "Hadi",
                    "last_name": "Meidani",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 281,
                            "ror": "",
                            "name": "University of Illinois at Urbana-Champaign",
                            "address": "",
                            "city": "",
                            "state": "IL",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 1678,
                        "first_name": "Farnoush",
                        "last_name": "Banaei-Kashani",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 1679,
                        "first_name": "Hari",
                        "last_name": "Sundaram",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
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                        "affiliations": []
                    },
                    {
                        "id": 1680,
                        "first_name": "Jane F",
                        "last_name": "Macfarlane",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 1681,
                        "first_name": "Rachel",
                        "last_name": "Garthe",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 281,
                    "ror": "",
                    "name": "University of Illinois at Urbana-Champaign",
                    "address": "",
                    "city": "",
                    "state": "IL",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Low income communities in urban environments chronically struggle with access to mobility and the correlated low quality of life metrics. In principle, on-demand ride-sharing services can address these issues by creating an efficient, real-time market—matching drivers with requests. However, the reality for these communities is far different, as the tendency in these services, primarily run by external business owners, is to avoid pickups in low income communities due to safety perception, and lack of trust among users to name a few.  This project focuses on ways to empower the residents within these communities to offer connected mobility solution, and investigate their specific needs and operational constraints that are not currently understood enough. The overarching objective of this work is to create an effective collaboration platform for community partners to communicate their mobility challenges and opportunities with researchers (from engineering, social sciences and computer science), industry partners and policy makers, and to steer these engagements towards a concrete plan for a one-year multi-sided pilot project on customized peer-to-peer mobility solutions for low income communities. The holistic nature of this work includes studies on the societal aspects of connected mobility, and how coherent sociotechnical solutions can be created and how their success can be measured by accompanying social studies. If successful, this planning work and its following pilot project will enable transformation in the mobility of many low income communities in the country, and contribute to a more equitable, more efficient, and eventually more prosperous nation. To overcome the mobility challenges in low-come communities, an empowering approach to on-demand services rooted in these communities is needed. To this end, this project creates a cyberinfrastructure that help the capital and labor arise from within these low-income communities, and mobility demands and resources are linked in a way that is compatible with community resources and needs. In particular, this project will plan an innovative community-focused ride-sharing service—Jitney+. This service effectively connects the community social graph with the resources graph, and the location graph, and addresses (1) the issue of trust among the drivers and passengers, (2) the digital divide and (3) safety concerns related the location and time of access and also to COVID-19 infection. This is done by facilitating effective collaboration among community partners, university researchers, industry partners, and city officials, with the focus on communities in the south side of Chicago and in Champaign County in Illinois. This project is supported by the CIVIC Innovation Challenge program Track A - Communities and Mobility: Offering Better Mobility Options to Solve the Spatial Mismatch Between Housing Affordability and Jobs through a collaboration between NSF and the Department of Energy Vehicle Transportation Office.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "720",
            "attributes": {
                "award_id": "2110313",
                "title": "EAGER SENTINELS: The PCR-free Biosensor for a Fast, Simple, and Sensitive Detection of RNA.",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Engineering (ENG)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 1675,
                        "first_name": "Aleksandr",
                        "last_name": "Simonian",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-07-01",
                "end_date": "2023-06-30",
                "award_amount": 249997,
                "principal_investigator": {
                    "id": 1676,
                    "first_name": "Artavazd",
                    "last_name": "Badalyan",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 375,
                            "ror": "https://ror.org/00h6set76",
                            "name": "Utah State University",
                            "address": "",
                            "city": "",
                            "state": "UT",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 375,
                    "ror": "https://ror.org/00h6set76",
                    "name": "Utah State University",
                    "address": "",
                    "city": "",
                    "state": "UT",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The recent pandemic has highlighted the urgent need for rapid and accurate detection of viruses to allow for early disease diagnosis and monitoring to prevent future pandemics and to reduce the risk of complications and mortality through timely health care. Currently, diagnostic tests based on polymerase chain reaction (PCR) are widely applied for the detection of viruses. Despite outstanding analytical parameters, significant drawbacks of this technology have become evident during the recent COVID pandemic. More specifically, PCR-based tests require not only expensive laboratory equipment and highly trained personnel, but they are also time-consuming and not well adapted for point-of-care devices. For example, it usually takes two to three days to get the result of a PCR-based COVID-19 test. Consequently, the spread of the virus becomes less containable. The purpose of this project is to develop a fast, easy, and economically feasible biosensing platform that does not require PCR. This project also aims to provide undergraduate students with interdisciplinary training in the development of biosensors, and local high school students with an opportunity to explore the field of diagnostics.This project is to design and realize a rapid, ultrasensitive, and adaptable PCR-free biosensing platform for viral RNA detection. Specifically, the proposed biosensor will be based on the newly discovered CRISPR-Cas (Clustered Regularly Interspaced Short Palindromic Repeat – CRISPR associated) nuclease that shows high selectivity, and can be reprogrammed to detect various viruses’ RNAs. The development and integrations of a novel signal amplification scheme will allow circumvention of the PCR amplification step. Not only will this research lead to the novel RNA sensing approach, but it will also provide a blueprint for developing a DNA biosensor based on an alternative but closely related Cas nuclease. Due to the ease of configuration and operation, the proposed biosensor is more economical, faster, and will not require sophisticated equipment and personnel training, thereby addressing current needs in public health.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "719",
            "attributes": {
                "award_id": "2043847",
                "title": "SCC-CIVIC-PG Track B: Remote Monitoring of Small Rural Water Systems to Ensure Safe Drinking Water through Disasters and Natural Recovery",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Computer and Information Science and Engineering (CISE)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 1671,
                        "first_name": "Michal",
                        "last_name": "Ziv-El",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
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                    }
                ],
                "start_date": "2021-01-15",
                "end_date": "2021-06-30",
                "award_amount": 50000,
                "principal_investigator": {
                    "id": 1674,
                    "first_name": "Emily",
                    "last_name": "Kumpel",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 200,
                            "ror": "https://ror.org/0072zz521",
                            "name": "University of Massachusetts Amherst",
                            "address": "",
                            "city": "",
                            "state": "MA",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 1672,
                        "first_name": "David A",
                        "last_name": "Reckhow",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
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                    },
                    {
                        "id": 1673,
                        "first_name": "Casey",
                        "last_name": "Brown",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
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                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 200,
                    "ror": "https://ror.org/0072zz521",
                    "name": "University of Massachusetts Amherst",
                    "address": "",
                    "city": "",
                    "state": "MA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "More than 45,000 community water systems in the US are small, each providing water to up to 10,000 people. These systems, which provide a vital supply of potable water to mostly rural communities, are faced with many challenges which are made harder by natural disasters and pandemics such as COVID-19. To better protect these water systems, including during emergency scenarios, this project will develop and test tools to check the status as of these water systems remotely as well and to support the operators who run the systems. This planning project is a collaboration between academic and local government partners to develop and pilot these remote sanitary inspection tools and water quality monitoring systems while at the same time increasing access to skilled personnel in small community water systems.The goal of this research is to support inspection and monitoring of small water systems and to ensure continuity of operators during and after disasters. The specific aims of the planning period are to: 1) Investigate and pilot tools for conducting remote sanitary inspection and remote monitoring of water sources and treatment infrastructure to improve delivery of safe water in small water systems through disasters and recovery; and 2) Explore a model of enhancing human resource capacity during emergencies in the form of shared operator programs. Partners include the University of Massachusetts Amherst, two regional planning organizations in western Massachusetts (the Franklin Regional Council of Governments and the Pioneer Valley Planning Commission), and the Massachusetts Department of Environmental Protection. Specifically, this project will develop and pilot a mobile system which simplifies and streamlines sanitary surveys and inspections for source waters and treatment facilities; evaluate novel water quality monitoring devices for application in small water systems; and develop a model for a shared-operator program for the towns located in three counties. The research questions will address gaps in knowledge in how to support the continuity of small community water supply operations through disasters and were developed from needs identified by civic partners. The proposed project would directly address challenges small communities face due to the COVID-19 pandemic, and help with preparedness for future disasters, including future pandemics and extreme weather events. This project is in response to the Civic Innovation Challenge program, Track B—Resilience to Natural Disasters—and is a collaboration between NSF and the Department of Homeland Security.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "718",
            "attributes": {
                "award_id": "2044061",
                "title": "SCC-CIVIC-PG Track B: A tourism decision support system for Western gateway and natural amenity region communities",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Computer and Information Science and Engineering (CISE)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 1668,
                        "first_name": "Sandip",
                        "last_name": "Roy",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
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                        "affiliations": []
                    }
                ],
                "start_date": "2021-02-01",
                "end_date": "2021-07-31",
                "award_amount": 49954,
                "principal_investigator": {
                    "id": 1670,
                    "first_name": "Jordan W",
                    "last_name": "Smith",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
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                    "affiliations": [
                        {
                            "id": 375,
                            "ror": "https://ror.org/00h6set76",
                            "name": "Utah State University",
                            "address": "",
                            "city": "",
                            "state": "UT",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 1669,
                        "first_name": "Derek  Van",
                        "last_name": "Berkel",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
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                    }
                ],
                "awardee_organization": {
                    "id": 375,
                    "ror": "https://ror.org/00h6set76",
                    "name": "Utah State University",
                    "address": "",
                    "city": "",
                    "state": "UT",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Gateway and natural amenity regions (GNAR) throughout the Western U.S. are facing a number of unprecedented challenges that threaten their economies, the wellbeing of their residents, and the health of tourists who flock to these areas for recreation and rejuvenation. Most recently, the COVID-19 pandemic has led to virulent concerns amongst gateway community leaders about tourists spreading the virus, harming local residents, and overwhelming these communities’ limited healthcare resources. With local economies that depend on the flow of outdoor recreationists and tourists, the disruption of those flows can have immediate and disastrous consequences for communities in GNARs. This project's research team brings together expertise from the social and spatial sciences capable of transforming the way GNAR communities across the Western U.S. plan for and respond to interruptions in the flow of tourists brought about by natural disasters and crisis events like the COVID-19 pandemic. The vision is to develop predictive models of tourism flows and a respective decision support system that GNAR communities can use to explore and inform local policy decisions. This project will be integrating publicly available mobility data into an interactive tourism planning and management tool, rapidly accelerating the ability of these data to be used by GNAR communities in their efforts to plan for and manage tourism during natural disasters and crisis events. By leveraging an established research team with demonstrated experience integrating disparate datasets to quantify the volume and spatial distribution of tourism flows across large geographic scales, this project's data and models are ready to be piloted with willing GNAR communities throughout San Juan County, Utah – home to Navajo tribal lands and over a dozen small communities which are heavily reliant on tourism.By utilizing an inclusive engagement approach to develop a web-based decision support system, this project will bring new insights into the efficacy of co-producing knowledge and understanding through smart and connected technologies. The project will also advance our understanding of effective data visualization using free and open source web mapping approaches; and provide new knowledge on resilience indicators for GNARs throughout the Western U.S. These insights can be used to improve approaches to civic engagement in the context of complex feedbacks from natural hazards and other crisis events on local economies.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "717",
            "attributes": {
                "award_id": "2043981",
                "title": "SCC-CIVIC-PG Track B Strengthening Community Resiliency through Extended Reality (XR):  Engaging Small, Under-Resourced Municipalities in Planning & Execution of Government",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Computer and Information Science and Engineering (CISE)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 1663,
                        "first_name": "David",
                        "last_name": "Corman",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-01-15",
                "end_date": "2021-06-30",
                "award_amount": 49986,
                "principal_investigator": {
                    "id": 1667,
                    "first_name": "Adriano A",
                    "last_name": "Udani",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 374,
                            "ror": "",
                            "name": "University of Missouri-Saint Louis",
                            "address": "",
                            "city": "",
                            "state": "MO",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 1664,
                        "first_name": "Patricia A",
                        "last_name": "Hagen",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 1665,
                        "first_name": "Matthew J",
                        "last_name": "Taylor",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 1666,
                        "first_name": "Kiley",
                        "last_name": "Bednar",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 374,
                    "ror": "",
                    "name": "University of Missouri-Saint Louis",
                    "address": "",
                    "city": "",
                    "state": "MO",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Remote governing as a result of the COVID-19 pandemic creates the need for new approaches to effective collaboration and governance during crisis, particularly for under-resourced municipalities that typically have had limited access to novel technologies. The proposed research aims to determine whether Extended Reality (XR) is an effective technology for engaging under-resourced municipalities in disaster response planning and governing. By understanding the distinct needs of small municipalities and exploring the effectiveness and potential limitations of XR technology, this research aims to develop a pilot XR toolkit with potential for wider replication. This work has the potential to make meaningful cross sector contributions to advances in promising applications of XR, municipal governance, and disaster planning toward reducing disruptions in governance in future pandemics or other disasters.While XR technology has been deployed in disaster preparedness and community planning, it has primarily been used by the federal government and states, counties, and cities. This work aims to explore the effectiveness of using this novel technology in small under resourced municipalities, particularly those with high levels of fragmentation. The proposed research pilot will engage leaders from 24 under-resourced municipalities in North St. Louis County, Missouri in the use of novel XR technologies for governing during pandemics or other disasters. Specifically, this project will introduce the technical capabilities and immersive virtual experiences of XR as a viable tool to assist in planning for, facilitating and maintaining government operations during disasters. Methods will include implementation meetings and concept mapping to determine municipal priorities to ensure the technology is focused and developed based on input of communities most impacted by the COVID-19 pandemic.  Stage 1 will bring together government, industry, nonprofit, and academic stakeholders to identify community assets and vulnerabilities that may affect the acceptance and adoption of XR technology while jointly co-developing a full proposal for a Stage 2 research pilot. Stage 2 will jointly explore and test novel uses of XR technologies for effective governance during pandemics or similar disasters and identify potential applications of XR with the potential to reduce interruptions in government activities during times of disruption. This research aims to define the user requirements toward developing an XR tool kit that will allow small municipalities to plan for and respond to future disasters or pandemics. XR will enable municipalities to maintain city assets, plan public works projects, and maintain and improve public health and safety in real time.  This project is supported by the CIVIC Innovation Challenge program Track B - Resilience to Natural Disasters: Equipping Communities for Greater Preparedness and Resilience to Natural Disasters through a collaboration between NSF and the Department of Homeland Security.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "716",
            "attributes": {
                "award_id": "2106093",
                "title": "EAGER International Type II: Collaborative Research: Reimagining International Research for Students in a Virtual World",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Office Of The Director"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 1661,
                        "first_name": "Maija",
                        "last_name": "Kukla",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-05-15",
                "end_date": "2023-04-30",
                "award_amount": 189679,
                "principal_investigator": {
                    "id": 1662,
                    "first_name": "Kirsten",
                    "last_name": "Davis",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 252,
                            "ror": "",
                            "name": "Purdue University",
                            "address": "",
                            "city": "",
                            "state": "IN",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 252,
                    "ror": "",
                    "name": "Purdue University",
                    "address": "",
                    "city": "",
                    "state": "IN",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Part 1.International research collaborations provide important opportunities to support innovative research and address the significant global challenges facing the world today. To develop U.S. researchers who are both interculturally competent and able to navigate global research networks within their field, it is important to provide international research experiences for students. Reimagining international research programs for students in a virtual environment will ensure the resilience of future international engagement to sudden changes such as COVID-19 and potentially broaden access to such opportunities. This project will explore the future of international research experiences for STEM students in the post-COVID era. Building on prior research of student experiences and program structures for these programs, we will convene stakeholders to think creatively about how similar experiences can be provided for students in a virtual environment. To strengthen the international research collaborations of the future, we need to understand the challenges, benefits, and supports necessary to provide international research experiences for students in a virtual environment. Developing virtual programs that maintain the learning outcomes students gain from the traditional format will require intentional design based on the experiences and best practices of the community of educators who have coordinated international research experiences for students previously. Part 2.This project will explore the design of international research experiences for STEM students in virtual environments. In particular, we will address the following research questions: 1) How could each element of an international research experience for students be translated into a virtual environment?; 2) What program structures would allow for these new virtual experiences?; 3) What support would program leaders need to implement such programs? This project will include two phases, the first focused on collecting a broad range of ideas through virtual focus groups, and the second collecting feedback on these ideas from a wider audience through a questionnaire. We will use a participatory design approach to collect information from the community of researchers who currently run international research experiences for students as this will allow us to build on their tacit knowledge and expertise in this area. In a post-COVID world, more educational experiences may need to be provided virtually, and our findings can support the development of virtual research experiences and laboratory experiences generally (e.g., REUs and RETs). Similarly, studying abroad is often a challenge for students in STEM disciplines where programs are highly structured, so providing virtual experiences may increase access. We will disseminate our findings broadly through academic channels and through webinars and online resources that can support faculty and universities seeking to develop virtual research experiences for students.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "715",
            "attributes": {
                "award_id": "2106100",
                "title": "EAGER International Type II: Collaborative Research: Reimagining International Research for Students in a Virtual World",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Office Of The Director"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 1658,
                        "first_name": "Maija",
                        "last_name": "Kukla",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-05-15",
                "end_date": "2023-04-30",
                "award_amount": 110000,
                "principal_investigator": {
                    "id": 1660,
                    "first_name": "David",
                    "last_name": "Knight",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 244,
                            "ror": "",
                            "name": "Virginia Polytechnic Institute and State University",
                            "address": "",
                            "city": "",
                            "state": "VA",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 1659,
                        "first_name": "Nicole",
                        "last_name": "Sanderlin",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 244,
                    "ror": "",
                    "name": "Virginia Polytechnic Institute and State University",
                    "address": "",
                    "city": "",
                    "state": "VA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Part 1.International research collaborations provide important opportunities to support innovative research and address the significant global challenges facing the world today. To develop U.S. researchers who are both interculturally competent and able to navigate global research networks within their field, it is important to provide international research experiences for students. Reimagining international research programs for students in a virtual environment will ensure the resilience of future international engagement to sudden changes such as COVID-19 and potentially broaden access to such opportunities. This project will explore the future of international research experiences for STEM students in the post-COVID era. Building on prior research of student experiences and program structures for these programs, we will convene stakeholders to think creatively about how similar experiences can be provided for students in a virtual environment. To strengthen the international research collaborations of the future, we need to understand the challenges, benefits, and supports necessary to provide international research experiences for students in a virtual environment. Developing virtual programs that maintain the learning outcomes students gain from the traditional format will require intentional design based on the experiences and best practices of the community of educators who have coordinated international research experiences for students previously. Part 2.This project will explore the design of international research experiences for STEM students in virtual environments. In particular, we will address the following research questions: 1) How could each element of an international research experience for students be translated into a virtual environment?; 2) What program structures would allow for these new virtual experiences?; 3) What support would program leaders need to implement such programs? This project will include two phases, the first focused on collecting a broad range of ideas through virtual focus groups, and the second collecting feedback on these ideas from a wider audience through a questionnaire. We will use a participatory design approach to collect information from the community of researchers who currently run international research experiences for students as this will allow us to build on their tacit knowledge and expertise in this area. In a post-COVID world, more educational experiences may need to be provided virtually, and our findings can support the development of virtual research experiences and laboratory experiences generally (e.g., REUs and RETs). Similarly, studying abroad is often a challenge for students in STEM disciplines where programs are highly structured, so providing virtual experiences may increase access. We will disseminate our findings broadly through academic channels and through webinars and online resources that can support faculty and universities seeking to develop virtual research experiences for students.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "714",
            "attributes": {
                "award_id": "2032529",
                "title": "Collaborative Research: Three-Dimensional Flexible Biosensor Enabling Label-Free Spatial Mapping of Intra-Organoid Functions",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Engineering (ENG)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 1656,
                        "first_name": "Aleksandr",
                        "last_name": "Simonian",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-02-15",
                "end_date": "2024-01-31",
                "award_amount": 320000,
                "principal_investigator": {
                    "id": 1657,
                    "first_name": "Chi Hwan",
                    "last_name": "Lee",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 252,
                            "ror": "",
                            "name": "Purdue University",
                            "address": "",
                            "city": "",
                            "state": "IN",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 252,
                    "ror": "",
                    "name": "Purdue University",
                    "address": "",
                    "city": "",
                    "state": "IN",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Over the last decades, biologists and bioengineers have attempted to engineer \"living\" cell masses that exhibit tissues and organ structure and function outside of the body. These \"living\" cell masses, named organoids, can serve as a low-cost, rapid, but precise drug-screening platform and, ultimately, replace animal models. Despite the promise, there remains a lack of tools to enable real-time, non-invasive monitoring of the organoids' biological activities. This project supports an integrated research and educational program with goals to (1) develop a three-dimensional flexible sensor deciphering electrophysiological actions of human heart-like organoids and use it to predict the effect of potential anti-viral drugs for COVID-19 on the human heart, and (2) develop a multidisciplinary educational framework associated with the biosensor for multiple levels of students, especially from traditionally underrepresented groups in science and engineering. The proposed research will make a positive and immediate impact on U.S. health and economy by providing a novel organoid-sensor platform useful to determine powerful therapeutics to the on-going COVID-19 and future, unforeseeable outbreak.For the last decades, extensive efforts have been made to recapitulate the multicellular, anatomical, and functional hallmarks of organs, thereby offering comprehensive frameworks to model organ development, homeostasis, regeneration, and disease. These movements have quickly engineered a variety of organ-like multicellular clusters named organoids. However, there remains a lack of tools enabling label-free, real-time, and non-invasive monitoring of intra-organoid functions. This project aims to establish a set of materials, design layouts, and assembly methods to develop a three-dimensional flexible intra-organoid sensor instrumented with vertically ordered silicon nanoneedles. As a model system, this sensor will be tailored for label-free spatial mapping of electrocardiogram signals from the inside of cardiovascular organoids that are engineered by orchestrating spatially-organized co-differentiation of pluripotent stem cells to cardiac muscle cells and endothelial cells. The quantitative readout of the intra-organoid activities will facilitate improved understanding of the underlying anatomical-electrophysiological-mechanical relationships of cardiac function. Furthermore, this intra-organoid sensor platform will become a transformative organ-on-a-chip tool that will greatly assist efforts to determine the efficacy of newly developed drugs as well as the impact of unidentified toxins. Complementary experimental and computational methods will be established for analyzing time-series data associated with vascularized cardiac muscle functions. This collaborative research has been built upon a strong research tie of the Multiple-PIs in joint efforts over the past 2 years based on a long-standing relationship between Purdue University and the University of Illinois at Urbana-Champaign. Because the universities are within close geographic proximity in the Midwest, the investigators at Purdue University will be able to spend significant amounts of time in the clinical setting at the University of Illinois at Urbana-Champaign in order to not only obtain timely feedback from the clinical perspectives but also ensure the progress of the proposed tasks.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        }
    ],
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