Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=5&sort=awardee_organization
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=awardee_organization", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1442&sort=awardee_organization", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=6&sort=awardee_organization", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=4&sort=awardee_organization" }, "data": [ { "type": "Grant", "id": "14008", "attributes": { "award_id": "75N91021F00056-P00005-0-1", "title": "Laboratory to Perform Assays of Coagulopathy Biomarkers for the National Cancer Institute’s COVID-19 in Cancer Patients Study (NCCAPS)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Cancer Institute (NCI)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-03-01", "end_date": "2024-02-28", "award_amount": 155897, "principal_investigator": { "id": 24006, "first_name": "EDWARD", "last_name": "WONG", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "Lab will conduct coagulopathy assays for NCI to analyze as part of a correlative science objective in NCI COVID-19 in Cancer Patients Study (NCCAPS): A Longitudinal Natural History Study, ClinicalTrials.gov Identifier: NCT04387656 https://clinicaltrials.gov/ct2/show/NCT04387656", "keywords": [ "Biological Assay", "Biological Markers", "Blood Coagulation Disorders", "COVID-19", "Cancer Patient", "Laboratories", "National Cancer Institute", "Natural History", "Science" ], "approved": true } }, { "type": "Grant", "id": "9142", "attributes": { "award_id": "75N93020C00022-0-9999-1", "title": "DEVELOPMENT OF FERRET REAGENTS FOR USE IN THE CHARACTERIZATION OF IMMUNE RESPONSES TO RESPIRATORY INFECTIONS IN THE FERRET MODEL.", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2020-07-01", "end_date": "2022-06-30", "award_amount": 572817, "principal_investigator": { "id": 24917, "first_name": "TORI", "last_name": "RACE", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "Ferrets represent excellent models of human respiratory viruses such as influenza A virus, SARS-CoV and MERS-CoV. The goal of this proposal is to generate antibodies for analyzing immune cells and cytokine responses during respiratory infections in ferrets. The main focuses are immune cell markers and cytokines produced by these cells during immune responses. The contractor plans to use standard hybridoma techniques to generated monoclonal antibodies will then undergo extensive immunological characterization using various methods to show the specificity to recombinant immunogens as well as selected ferret samples.", "keywords": [ "Antibodies", "Antigens", "Cells", "Contractor", "Ferrets", "Generations", "Goals", "Hybridomas", "Immune", "Immune response", "Immunization", "Immunologics", "Influenza A virus", "Methods", "Middle East Respiratory Syndrome Coronavirus", "Modeling", "Monoclonal Antibodies", "Mus", "Proteins", "Reagent", "Recombinants", "Respiratory Tract Infections", "SARS coronavirus", "Sampling", "Specificity", "Techniques", "Validation", "cytokine", "human model", "respiratory virus", "response" ], "approved": true } }, { "type": "Grant", "id": "9829", "attributes": { "award_id": "75N91021F00056-P00002-0-1", "title": "Laboratory to Perform Assays of Coagulopathy Biomarkers for the National Cancer Institute’s COVID-19 in Cancer Patients Study (NCCAPS)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Cancer Institute (NCI)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2021-03-01", "end_date": "2023-02-28", "award_amount": 155897, "principal_investigator": { "id": 24006, "first_name": "EDWARD", "last_name": "WONG", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "Lab will conduct coagulopathy assays for NCI to analyze as part of a correlative science objective in NCI COVID-19 in Cancer Patients Study (NCCAPS): A Longitudinal Natural History Study, ClinicalTrials.gov Identifier: NCT04387656 https://clinicaltrials.gov/ct2/show/NCT04387656", "keywords": [ "Biological Assay", "Biological Markers", "Blood Coagulation Disorders", "COVID-19", "Cancer Patient", "Laboratories", "National Cancer Institute", "Natural History", "Science" ], "approved": true } }, { "type": "Grant", "id": "9299", "attributes": { "award_id": "75N92020C00033-P00001-9999-1", "title": "RADX TECH PROJECT #4554: UBIQUITOME SARS-COV-2 LAB TEST ACCURACY WITHIN REACH OF EVERY AMERICAN WITH LIBERTY16 MOBILE REAL TIME PCR", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Biomedical Imaging and Bioengineering (NIBIB)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2020-09-29", "end_date": "2021-09-28", "award_amount": 1760000, "principal_investigator": { "id": 25039, "first_name": "PAUL", "last_name": "PICKERING", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "Gold standard SARS-CoV-2 testing (100% specificity, 100% sensitivity) has been available in America February 4, 2020, through the FDA CDA real time PCR test, yet it is still not available to many Americans who need it. Recent attempts to make SARS-CoV-2 testing more accessible (e.g. Abbott & Quidel) has been plagued by low throughput (single sample at a time) and high false negatives. What is needed is the CDC’s FDA authorized gold standard real time PCR testing within reach of every American. We propose to engage in a rapid enhancement and scaling program for our commercial mobile Liberty16 system that will allow this fully mobile real time PCR device to exceed the throughput- based gold standard 96-well based workflows in centralized labs while offering the same low false negative levels (<5%) observed with the CDC test. Enhanced Functionality. We will fast-track implemetation of several planned features that substantially enhance the throughput and user interface of the exisiting Liberty16 system: (1) Implementation of multiplex capability enabling single-well detection of multiple targets. This increases sample capacity from 3 to 14 (plus controls) per run. (2) Implementation of software and minor hardware modifications that significantly reduce the run time from 40 minutes to 25 minutes or less. (3) Update the Liberty16 iPhone/iPad user interface to include (i) a barcode reader for sample identifier input; (ii) automated reporting of multiplexed assays. (4) Optimize a safe sample collection and preparation workflow for saliva, enabling setup completion in under 5 minutes and with minimal processing steps.", "keywords": [ "2019-nCoV", "American", "Americas", "Bar Codes", "COVID-19 testing", "Cellular Phone", "Centers for Disease Control and Prevention (U.S.)", "Computer software", "Detection", "Devices", "Gold", "Minor", "Modification", "Preparation", "RADx Tech", "Reader", "Reporting", "Running", "Saliva", "Sampling", "Specificity", "System", "Testing", "Time", "Update", "base", "multiplex assay", "programs", "sample collection" ], "approved": true } }, { "type": "Grant", "id": "8013", "attributes": { "award_id": "75N92021P00049-0-0-1", "title": "RADX TECH PROJECT, L3 HEALTHCARE, LLC: RADX PERFORMANCE EVALUATION OF YUKON SWABS", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Biomedical Imaging and Bioengineering (NIBIB)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2021-01-12", "end_date": "2021-02-28", "award_amount": 173041, "principal_investigator": { "id": 23913, "first_name": "CHERMAEN", "last_name": "CLINDBERG", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "The National Institute of Biomedical Imaging and Bioengineering (NIBIB) has an open solicitation for proposals to provide up to $500 million across multiple projects to rapidly produce innovative SARS-CoV-2 diagnostic tests that will assist the public’s safe return to normal activities. Rapid Acceleration of Diagnostics (RADx), is a fast-track technology development program that leverages the National Institutes of Health (NIH) Point-of-Care Technology Research Network (POCTRN). RADx will support novel solutions that build the U.S. capacity for SARS-CoV-2 testing up to 100-fold above what is achievable with standard approaches. RADx is structured to deliver innovative testing strategies to the public as soon as late summer 2020 and is an accelerated and comprehensive multi-pronged effort by NIH to make SARS-CoV-2 testing readily available to every American.", "keywords": [ "American", "COVID-19", "COVID-19 detection", "COVID-19 diagnostic", "COVID-19 testing", "Centers for Disease Control and Prevention (U.S.)", "Clinical", "Contracts", "Department of Defense", "Development", "Device Designs", "Diagnostic tests", "Ensure", "Evaluation", "Exhalation", "Funding", "Goals", "Healthcare", "Home", "Improve Access", "Laboratories", "Life Cycle Stages", "Modification", "National Institute of Biomedical Imaging and Bioengineering", "Patients", "Performance", "Point of Care Technology", "Privatization", "Program Development", "RADx", "RADx Tech", "Readiness", "Research", "Saliva", "Sampling", "Seasons", "Sensitivity and Specificity", "Speed", "Structure", "Swab", "Technology", "Test Result", "Testing", "Time", "TimeLine", "United States National Institutes of Health", "Validation", "Virus", "Yukon Territory", "base", "commercialization", "cost", "design", "detection limit", "flu", "handheld mobile device", "home test", "improved", "innovation", "meetings", "novel", "point of care", "product development", "programs", "scale up", "technology development", "user-friendly" ], "approved": true } }, { "type": "Grant", "id": "12949", "attributes": { "award_id": "2231959", "title": "The Impact of Country of Origin on Group Consciousness in Political Behavior Research", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "Build and Broaden" ], "program_reference_codes": [], "program_officials": [ { "id": 25900, "first_name": "Enrique", "last_name": "Pumar", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-15", "end_date": null, "award_amount": 181501, "principal_investigator": { "id": 28932, "first_name": "Kenicia", "last_name": "Wright", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). The goal of this project is to gain insights into the political attitudes and behaviors of citizens with different countries of origin. Scholarly knowledge of the effects of country of origin on political opinions, behavior, and policy preferences remains limited, despite the fact that these groupings comprise a sizable portion of the electorate. This project will address this gap and develop an evidence-based understanding of the effect of country of origin on the political behavior of American citizens. Consistent with the mission of NSF, this study will contribute to a more informed and nuanced understanding of the unique challenges and opportunities facing democratic governance and national welfare in the United States in a period of uncertain transformation. In addition to the proposed research, this project will also support a small conference of diverse scholars with areas of expertise related to citizens' country of origin and gender that will include presentations by undergraduate and graduate students. This project will therefore connect scholars from across the country who share research interests and provide students from underrepresented backgrounds with a unique opportunity to gain hands-on research experience. <br/><br/><br/>The proposed research includes interviews and focus groups aimed at providing in-depth insights about Latinx political attitudes and a nationally representative survey of citizens. The resulting data will be used to evaluate how gender and country of origin interactively influence the opinions and political behavior of citizens and shape the scope and nature of group consciousness among American citizens. This project therefore enables the development of an intersectional theoretical approach to study how multiple social identities influence the opinions and political behavior of citizens. This cross-cutting approach allows this project to contribute to a gap in existing research.<br/><br/>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": "1286", "attributes": { "award_id": "2032313", "title": "RAPID Collaborative: Networks and Spatial Dynamics of the US Food Supply Chain amid the COVID-19 Pandemic", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)" ], "program_reference_codes": [ "096Z", "1352", "1390", "7914", "9178", "9179" ], "program_officials": [ { "id": 3306, "first_name": "Jeffrey", "last_name": "Mantz", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-06-01", "end_date": "2022-08-31", "award_amount": 53692, "principal_investigator": { "id": 3307, "first_name": "Craig", "last_name": "Carter", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "Security and safety in food supply chains is critical to preventing the transmission of COVID-19. During the COVID-19 pandemic, it has become clear that the US food-supply system is vulnerable. As the pandemic forced restaurants to close, or dramatically curtail operations, the news reported that farmers were discarding products because the buyers (restaurants) were no longer buying. At the same time consumers are struggling to find products in the supermarkets. Restaurant-supply networks may play a larger role in the resilience and sustainability of the US supply network than people had thought. It is clear now that these food distribution networks likely have evolved independently to maximize efficiency, not resiliency to risks such as pandemics. Recognizing this problem, and the potential impact on the economy, jobs, and national security, the US government has invested billions of dollars to buy and redistribute food that farmers were discarding. This research will pinpoint weak links in the food-supply network during the COVID-19 pandemic by rapidly assessing disruptions in restaurant-supply network, which include restaurateurs, distributors, and producers. The team’s novel spatial, ethnographic, networks (SENs) approach will also advance supply chain management theory by quantifying difficult-to-reach components within supply chains. The goal is to provide actionable strategies that can identify how people can adapt and help create a more resilient and sustainable US Food System amid the COVID-19 pandemic, and avoid these disruptions in future unanticipated events. Finally, the project’s novel SENs approach will train students in research methods that can be rapidly applied to tackle unexpected changes in our global food system. Supply-chain scholars are calling for new theoretical developments that account for the complexities and dynamics, and provides visibility to hidden components in supply networks. This project will bridge the gap in knowledge through spatial, ethnographically-derived, networks (SENs). A multi-phase comparative research design is employed that allows the ability to maximize the comparison potential of the analysis along key dimensions: the onset and intensity of COVID-19 and the influence of regional supply distribution over time. The overall goal is to understand what are the structural and spatial characteristics of actors’ (restaurateurs’, distributors’, and farmers’) supply networks that lead to various outcomes (e.g., new business opportunities, more sustainable practices, staying in business, or closing shop). Key informant interviews will be used to design structured interviews that will be conducted at two points in time. A number of measures will be derived from these survey spatially-explicit food supply networks for key informants, including a Sourcing Diversity Index that characterizes distributor typologies, geography, and ego network measures. By capturing these disruptions at the onset, and throughout the pandemic, this project will be able to identify key areas of the food-supply network that are vulnerable, not only for this pandemic, but other global disruptions.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": "3003", "attributes": { "award_id": "1931254", "title": "Collaborative Research: AccelNet: An International Network of Networks for Well-being in the Built Environment (IN2WIBE)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "EnvS-Environmtl Sustainability" ], "program_reference_codes": [], "program_officials": [ { "id": 9204, "first_name": "Bruce", "last_name": "Hamilton", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-10-01", "end_date": "2023-09-30", "award_amount": 168750, "principal_investigator": { "id": 9205, "first_name": "Teresa", "last_name": "Wu", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "This AccelNet Catalytic level project will facilitate collaborative research, education, and outreach through an International Network of Networks for Well-being In the Built Environment (IN2WIBE). At the core of IN2WIBE is a shared understanding that well-being is strongly dependent on the links between the built environment and the personal, cultural, economic, and social forces that drive health, productivity, satisfaction, and comfort. Research networks on well-being in the built environment exist, however, they are shaped by their institutional, regional, or social contexts and are mostly locally convergent. Well-being in the built environment is a broad research area, and there exist myriad approaches and solutions that emerge from different disciplinary perspectives. These efforts need to be integrated to foster effective, robust, and widely-applicable solutions. IN2WIBE will connect and educate future building scholars on well-being in buildings while informing better building design, construction, operation, and use. This will be achieved through leveraging resources from 34 existing networks and partners in 5 continents (N. America, Africa, Europe, Australia, and Asia), comprising a total of 17 countries. Through strategically designed activities, IN2WIBE will cultivate and foster connections through the development of community consensus. \n\nIN2WIBE provides an opportunity to unite disciplinarily, culturally, and geographically diverse networks around the world. Four objectives of IN2WIBE are to: 1) facilitate new forms of collaborations by integrating disciplines and networks in building and health fields; 2) engage networks at multiple stages and scales, including networks in South Asia, North Africa, and the Middle East; 3) promote innovative human-centric building design and operation strategies that will benefit the larger community of scholars and practitioners; and 4) prepare next generation building professionals with a diverse background. Led by multidisciplinary teams, IN2WIBE will foster collaborative research opportunities by coordinating the networks through a series of focused, cross-disciplinary global activities, including roundtable discussions, scholarly retreats, industry showcases, hackathons, TEDx talks, design charrettes, and research workshops and conferences with focused themes. IN2WIBE is targeted to benefit users by improving productivity, cognition, convenience, comfort, health, and energy conservation. Ultimately, this network of networks will promote awareness of healthy, resilient, and sustainable environments. IN2WIBE outcomes will be disseminated via peer-reviewed publications and international talks. The IN2WIBE team, led by female PIs, will empower future researchers with knowledge in building engineering and science, information science, social science, and public health through an interdisciplinary educational program that includes a student exchange program and a career development roundtable. IN2WIBE will also leverage various outreach activities to facilitate minority student recruitment and retention and to engage existing K-12 education and community outreaching programs.\n\nThe Accelerating Research through International Network-to-Network Collaborations (AccelNet) program is designed to accelerate the process of scientific discovery and prepare the next generation of U.S. researchers for multiteam international collaborations. The AccelNet program supports strategic linkages among U.S. research networks and complementary networks abroad that will leverage research and educational resources to tackle grand scientific challenges that require significant coordinated international efforts. This project is co-funded by the Environmental Sustainability (ENG/CBET) program.\n\nThis 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": "3567", "attributes": { "award_id": "1832016", "title": "LTER: CAP IV - Investigating urban ecology and sustainability through the lens of Urban Ecological Infrastructure", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "LONG TERM ECOLOGICAL RESEARCH" ], "program_reference_codes": [], "program_officials": [ { "id": 11568, "first_name": "Paco", "last_name": "Moore", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2018-12-01", "end_date": "2022-11-30", "award_amount": 4507998, "principal_investigator": { "id": 11573, "first_name": "Daniel", "last_name": "Childers", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 11569, "first_name": "Nancy B", "last_name": "Grimm", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 11570, "first_name": "B. L Turner", "last_name": "II", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 11571, "first_name": "Kelli L", "last_name": "Larson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 11572, "first_name": "Becky A", "last_name": "Ball", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "Humans are rapidly becoming an urban species. It is profoundly important, therefore, to understand urban ecosystems. Cities are consumers of energy and resources and producers of waste. They are also social networks that create innovation, efficiency, and solutions. The Central Arizona-Phoenix LTER Program (CAP) empowers researchers from the environmental and social sciences to study cities as social-ecological systems. The scientific goals of the CAP research are: 1) to use long-term data to articulate and answer new questions about cities that require a long-term perspective; 2) to develop and use future scenarios to help answer research questions; 3) to apply and create new knowledge about urban ecosystems; and 4) to build broad partnerships to make cities more resilient and sustainable places to live. In addition, Ecology Explorers, CAP's premier education program, will connect teachers and pre-college students with CAP scientists. CAP is also involving Phoenix residents in scientific research by working with community partners and municipal agencies. Finally, CAP's rich database is a valuable and growing resource for scientists, students, teachers and decision makers.\n\nUnderstanding urban ecosystems remains central to the CAP enterprise. The central question articulates the interconnectedness of human motivations, behaviors, actions, and outcomes with urban ecosystem structure and function: How do the ecosystem services provided by urban ecological infrastructure (UEI) affect human outcomes and behavior, and how do human actions affect patterns of urban ecosystem structure and function and, ultimately, urban sustainability and resilience? A new theoretical focus for CAP is on Urban Ecological Infrastructure (UEI) as a critical bridge between the system's biophysical and human/social domains. UEI is thus central in the conceptual framework that guides all CAP activities. CAP researchers explore new social-ecological frontiers of interdisciplinary urban ecology in residential landscapes, urban waterbodies, desert parks and preserves, the flora, fauna, and climate of a 'riparianized' desert city, and urban design and governance. CAP research is organized around eight interdisciplinary questions and researchers are organized into eight Interdisciplinary Research Teams to address these questions. CAP now includes research on broader societal impacts, with a theoretical focus on the nexus of ecology and design to enhance urban sustainability and resilience. This focus, combined with ongoing CAP scenarios work, is the translational link between social-ecological research outcomes and city institutions, ultimately making Phoenix, and cities in general, better places to live.\n\nThis 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": "4639", "attributes": { "award_id": "1414374", "title": "US-UK Collab: Risks of Animal and Plant Infectious Diseases through Trade (RAPID Trade)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "Ecology of Infectious Diseases" ], "program_reference_codes": [], "program_officials": [ { "id": 16024, "first_name": "Samuel", "last_name": "Scheiner", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2014-09-01", "end_date": "2020-09-30", "award_amount": 1450000, "principal_investigator": { "id": 16029, "first_name": "Charles", "last_name": "Perrings", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 16025, "first_name": "Richard D", "last_name": "Horan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 16026, "first_name": "Peter", "last_name": "Daszak", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 16027, "first_name": "Gerardo", "last_name": "Chowell-Puente", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 16028, "first_name": "Michael R", "last_name": "Springborn", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "World trade is a boon to economic development but it also increases the risk of dispersing human, animal, and plant diseases. Disease impacts on crop yields and livestock put global food supplies at risk and newly emergent diseases that move from animals to humans can threaten human health. But because trade is also one of the main drivers of economic development, it is important that it not be disrupted unnecessarily by measures to protect against disease risk. Striking the right balance is currently difficult to achieve, however, because trade impacts are not systematically incorporated into national and international disease risk assessments. This award supports an interdisciplinary and international team who seek to solve that problem by developing new tools for evaluating the disease risks of world trade. The risk assessment tools produced by the project will provide animal, plant, and human health authorities at national and international levels with the capacity to make improved assessment of the disease risks associated with imports, and of the consequences of alternative trade responses. Improving disease risk management will enhance national security and economic well-being by reducing both disease dispersal and the losses caused by trade interdictions. The project also will strengthen collaborations between US and UK scientists and train graduate students and post-doctoral scientists in research.\n\nThe researchers will compile data from multiple secondary sources. Data on plant diseases, livestock and wildlife diseases, disease outbreaks, and global emerging diseases, will be provided by such sources as the National Plant Protection Organizations in the United States and the United Kingdom, the United States Department of Agriculture's Animal and Plant Health Inspection Service, and the UK Food and Environment Research Agency. Public domain databases will provide time series data on trade, including trade volumes, trade values, sanitary and phtyosanitary conditions along trade pathways in exporting and importing countries, as well as Gross Domestic Product (GDP) data to estimate national value at risk. These data will be used to parameterize econometric profit maximization risk models to assess the effects of trader decisions and trade networks on the transmission of disease. The models will consider the intervention in trade at three spatial scales (local, national, and global) on incidence of disease transport and effects of altered trade on economic development. The models will be incorporated into a virtual laboratory decision support system to help evaluate alternative incentive-based trade management practices and the effects of decisions on the risk of disease spread.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 5, "pages": 1442, "count": 14420 } } }