Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1405&sort=keywords
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=keywords", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=keywords", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1406&sort=keywords", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1404&sort=keywords" }, "data": [ { "type": "Grant", "id": "6601", "attributes": { "award_id": "3U01DE028727-02S4", "title": "National Dental Practice-Based Research Network: Coordinating Center", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Dental and Craniofacial Research (NIDCR)" ], "program_reference_codes": [], "program_officials": [ { "id": 22121, "first_name": "LILLIAN", "last_name": "SHUM", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-06-07", "end_date": "2022-05-31", "award_amount": 348054, "principal_investigator": { "id": 22122, "first_name": "Mary Ann ANN", "last_name": "McBurnie", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 769, "ror": "", "name": "KAISER FOUNDATION RESEARCH INSTITUTE", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The National Dental PBRN (Network) provides a unique opportunity to conduct impactful research in oral health. Dental practices are an ideal setting for identifying trends and studying effectiveness and potential benefits of dental care delivery strategies in “real-world” populations. The CHR Coordinating Center currently serves as the Network Coordinating Center (NCC) and will continue to carry out the following aims in support of successful applicants to NOT-DE-20-023: 1. Establish productive, collaborative working relationships with Network leadership and facilitate the development of a 7-year Network strategic plan. The NCC will work with the National Network Director(s), Node Directors and Node Coordinators to inventory existing Network research infrastructure, assess and prioritize the Network’s needs, craft strategic aims, and create a detailed work plan for achieving those aims; 2. Provide central coordination for the Network. Based on Aim 1, the NCC will develop processes, technologies and other resources to maximize the efficiency and increase the impact of the Network; 3. Augment Network resources by establishing a comprehensive, integrated, secure Network research website (the Network Hub), integrating the Network practitioner database access into the website, and developing a Common Data Model (CDM) based on electronic dental and medical health record data. The NCC will create a multi-function website that will serve as the primary hub for network research. The Network Hub will provide a communications platform, a data collection, management and reporting system, a scientific review system, and access to Network-wide and study-specific documents. The existing practitioner database will be imported to the Hub and a new practitioner surveys implemented and both sources will be linked with the data management system. We also propose developing content and data architecture for a dental CDM that can be used to carry out data only studies, provide preliminary data for designing studies, and identify patients for recruitment or additional follow-up. 4. Provide scientific, statistical and operational support for the review, development, implementation and dissemination of Network research studies. The NCC will create and maintain technologies to manage study concept review and study development and implementation. NCC teams will continue to provide the methodologic, clinical, regulatory, administrative, operational, and technical expertise needed to support active study teams. The NCC will develop multiple strategies for data collection, as well as procedures and templates to streamline the approval and implementation of Network studies. Over more than 25 years, the NCC has developed a large repertoire of tools, technologies, processes and policies to coordinate multi-center research studies, and it will provide a solid foundation to support the Network.", "keywords": [ "Architecture", "Clinical", "Collaborations", "Communication", "Concept Review", "Data", "Data Collection", "Data Management Resources", "Databases", "Dental", "Dental Care", "Dental Care Delivery", "Dental General Practice", "Dental Research", "Dentists", "Development", "Dissemination and Implementation", "Equipment and supply inventories", "Foundations", "Group Practice", "Institutional Review Boards", "Leadership", "Link", "Medical", "Methodology", "Multicenter Studies", "National Institute of Dental and Craniofacial Research", "Oral health", "Patient Recruitments", "Policies", "Population", "Procedures", "Process", "Productivity", "Provider", "Reporting", "Research", "Research Design", "Research Infrastructure", "Resources", "Role", "Secure", "Site", "Solid", "Source", "Strategic Planning", "Surveys", "System", "Technical Expertise", "Technology", "Training", "Work", "base", "data modeling", "effectiveness study", "experience", "follow-up", "health record", "implementation process", "operation", "outreach", "practice-based research network", "research study", "response", "tool", "trend", "web site" ], "approved": true } }, { "type": "Grant", "id": "7261", "attributes": { "award_id": "3U01DE028727-02S2", "title": "National Dental Practice-Based Research Network: Coordinating Center", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Dental and Craniofacial Research (NIDCR)" ], "program_reference_codes": [], "program_officials": [ { "id": 10101, "first_name": "LILLIAN", "last_name": "SHUM", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-06-07", "end_date": "2022-05-31", "award_amount": 475193, "principal_investigator": { "id": 12329, "first_name": "Mary Ann ANN", "last_name": "McBurnie", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 769, "ror": "", "name": "KAISER FOUNDATION RESEARCH INSTITUTE", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 769, "ror": "", "name": "KAISER FOUNDATION RESEARCH INSTITUTE", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "PROJECT SUMMARY/ABSTRACT: The DPBRN provides a unique opportunity to conduct impactful research in oral health. Dental practices are an ideal setting for identifying trends and studying effectiveness and potential benefits of dental care delivery strategies in “real-world” populations. The Network needs an experienced, efficient Coordinating Center to optimize its productivity and impact. The CHR Coordinating Center (CHR CC) proposes to: 1. Establish productive, collaborative working relationships with DPBRN leadership and facilitate the development of a 7-year DPBRN strategic plan. The CHR CC will work with the National Network Director(s), Node Directors and Node Coordinators to inventory existing DPBRN research infrastructure, assess and prioritize the Network's needs, craft strategic aims, and create a detailed work plan for achieving those aims; 2. Provide central coordination for the DPBRN. Based on Aim 1, the CHR CC will develop processes, technologies and other resources to maximize the efficiency and increase the impact of the DPBRN; 3. Augment DPBRN resources by establishing a comprehensive, integrated, secure DPBRN research website (the DPBRN Hub), integrating the DPBRN practitioner database access into the website, and developing a Common Data Model (CDM) based on electronic dental and medical health record data. The CHR CC will create a multi-function website that will serve as the primary hub for network research. The DPBRN Hub will provide a communications platform, a data collection, management and reporting system, a scientific review system, and access to Network-wide and study-specific documents. The existing practitioner database will be imported to the Hub and a new practitioner survey implemented and both sources will be linked with the data management system. We also propose developing content and data architecture for a dental CDM that can be used to carry out data-only studies, provide preliminary data for designing studies, and identify patients for recruitment or additional follow-up. 4. Provide scientific, statistical and operational support for the review, development, implementation and dissemination of DPBRN research studies. The CC will create and maintain technologies to manage study concept review and study development and implementation. CC teams will provide the methodologic, clinical, regulatory, administrative, operational, and technical expertise needed to support active study teams. The CC will develop multiple strategies for data collection, as well as procedures and templates to streamline the approval and implementation of DPBRN studies. Over more than 25 years, the CHR CC has developed a large repertoire of tools, technologies, processes and policies to coordinate multi-center research studies, and it will provide a solid foundation to support the DPBRN.", "keywords": [ "Architecture", "Clinical", "Collaborations", "Communication", "Concept Review", "Data", "Data Collection", "Data Management Resources", "Databases", "Dental", "Dental Care", "Dental Care Delivery", "Dental General Practice", "Dental Research", "Dentists", "Development", "Effectiveness", "Equipment and supply inventories", "Foundations", "Group Practice", "Institutional Review Boards", "Leadership", "Link", "Medical", "Methodology", "Multicenter Studies", "National Institute of Dental and Craniofacial Research", "Oral health", "Patient Recruitments", "Policies", "Population", "Procedures", "Process", "Productivity", "Provider", "Reporting", "Research", "Research Design", "Research Infrastructure", "Resources", "Role", "Secure", "Site", "Solid", "Source", "Strategic Planning", "Surveys", "System", "Technical Expertise", "Technology", "Training", "Work", "base", "data modeling", "experience", "follow-up", "health record", "operation", "outreach", "practice-based research network", "research study", "response", "tool", "trend", "web site" ], "approved": true } }, { "type": "Grant", "id": "7262", "attributes": { "award_id": "3U01DE028727-02S3", "title": "National Dental Practice-Based Research Network: Coordinating Center", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Dental and Craniofacial Research (NIDCR)" ], "program_reference_codes": [], "program_officials": [ { "id": 10101, "first_name": "LILLIAN", "last_name": "SHUM", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-06-07", "end_date": "2026-05-31", "award_amount": 165465, "principal_investigator": { "id": 12329, "first_name": "Mary Ann ANN", "last_name": "McBurnie", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 769, "ror": "", "name": "KAISER FOUNDATION RESEARCH INSTITUTE", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 769, "ror": "", "name": "KAISER FOUNDATION RESEARCH INSTITUTE", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "PROJECT SUMMARY/ABSTRACT: The DPBRN provides a unique opportunity to conduct impactful research in oral health. Dental practices are an ideal setting for identifying trends and studying effectiveness and potential benefits of dental care delivery strategies in “real-world” populations. The Network needs an experienced, efficient Coordinating Center to optimize its productivity and impact. The CHR Coordinating Center (CHR CC) proposes to: 1. Establish productive, collaborative working relationships with DPBRN leadership and facilitate the development of a 7-year DPBRN strategic plan. The CHR CC will work with the National Network Director(s), Node Directors and Node Coordinators to inventory existing DPBRN research infrastructure, assess and prioritize the Network's needs, craft strategic aims, and create a detailed work plan for achieving those aims; 2. Provide central coordination for the DPBRN. Based on Aim 1, the CHR CC will develop processes, technologies and other resources to maximize the efficiency and increase the impact of the DPBRN; 3. Augment DPBRN resources by establishing a comprehensive, integrated, secure DPBRN research website (the DPBRN Hub), integrating the DPBRN practitioner database access into the website, and developing a Common Data Model (CDM) based on electronic dental and medical health record data. The CHR CC will create a multi-function website that will serve as the primary hub for network research. The DPBRN Hub will provide a communications platform, a data collection, management and reporting system, a scientific review system, and access to Network-wide and study-specific documents. The existing practitioner database will be imported to the Hub and a new practitioner survey implemented and both sources will be linked with the data management system. We also propose developing content and data architecture for a dental CDM that can be used to carry out data-only studies, provide preliminary data for designing studies, and identify patients for recruitment or additional follow-up. 4. Provide scientific, statistical and operational support for the review, development, implementation and dissemination of DPBRN research studies. The CC will create and maintain technologies to manage study concept review and study development and implementation. CC teams will provide the methodologic, clinical, regulatory, administrative, operational, and technical expertise needed to support active study teams. The CC will develop multiple strategies for data collection, as well as procedures and templates to streamline the approval and implementation of DPBRN studies. Over more than 25 years, the CHR CC has developed a large repertoire of tools, technologies, processes and policies to coordinate multi-center research studies, and it will provide a solid foundation to support the DPBRN.", "keywords": [ "Architecture", "Clinical", "Collaborations", "Communication", "Concept Review", "Data", "Data Collection", "Data Management Resources", "Databases", "Dental", "Dental Care", "Dental Care Delivery", "Dental General Practice", "Dental Research", "Dentists", "Development", "Effectiveness", "Equipment and supply inventories", "Foundations", "Group Practice", "Institutional Review Boards", "Leadership", "Link", "Medical", "Methodology", "Multicenter Studies", "National Institute of Dental and Craniofacial Research", "Oral health", "Patient Recruitments", "Policies", "Population", "Procedures", "Process", "Productivity", "Provider", "Reporting", "Research", "Research Design", "Research Infrastructure", "Resources", "Role", "Secure", "Site", "Solid", "Source", "Strategic Planning", "Surveys", "System", "Technical Expertise", "Technology", "Training", "Work", "base", "data modeling", "experience", "follow-up", "health record", "operation", "outreach", "practice-based research network", "research study", "response", "tool", "trend", "web site" ], "approved": true } }, { "type": "Grant", "id": "7260", "attributes": { "award_id": "3U01DE028727-02S1", "title": "National Dental Practice-Based Research Network: Coordinating Center, COVID Admin Supplement", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Dental and Craniofacial Research (NIDCR)" ], "program_reference_codes": [], "program_officials": [ { "id": 10101, "first_name": "LILLIAN", "last_name": "SHUM", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-06-07", "end_date": "2026-05-31", "award_amount": 266184, "principal_investigator": { "id": 12329, "first_name": "Mary Ann ANN", "last_name": "McBurnie", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 769, "ror": "", "name": "KAISER FOUNDATION RESEARCH INSTITUTE", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 769, "ror": "", "name": "KAISER FOUNDATION RESEARCH INSTITUTE", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "PROJECT SUMMARY/ABSTRACT: The National Dental PBRN (Network) provides a unique opportunity to conduct impactful research in oral health. Dental practices are an ideal setting for identifying trends and studying effectiveness and potential benefits of dental care delivery strategies in “real-world” populations. The CHR Coordinating Center currently serves as the Network Coordinating Center (NCC) and will continue to carry out the following aims in support of successful applicants to NOT-DE-20-023: 1. Establish productive, collaborative working relationships with Network leadership and facilitate the development of a 7-year Network strategic plan. The NCC will work with the National Network Director(s), Node Directors and Node Coordinators to inventory existing Network research infrastructure, assess and prioritize the Network's needs, craft strategic aims, and create a detailed work plan for achieving those aims; 2. Provide central coordination for the Network. Based on Aim 1, the NCC will develop processes, technologies and other resources to maximize the efficiency and increase the impact of the Network; 3. Augment Network resources by establishing a comprehensive, integrated, secure Network research website (the Network Hub), integrating the Network practitioner database access into the website, and developing a Common Data Model (CDM) based on electronic dental and medical health record data. The NCC will create a multi-function website that will serve as the primary hub for network research. The Network Hub will provide a communications platform, a data collection, management and reporting system, a scientific review system, and access to Network-wide and study-specific documents. The existing practitioner database will be imported to the Hub and a new practitioner surveys implemented and both sources will be linked with the data management system. We also propose developing content and data architecture for a dental CDM that can be used to carry out data- only studies, provide preliminary data for designing studies, and identify patients for recruitment or additional follow-up. 4. Provide scientific, statistical and operational support for the review, development, implementation and dissemination of Network research studies. The NCC will create and maintain technologies to manage study concept review and study development and implementation. NCC teams will continue to provide the methodologic, clinical, regulatory, administrative, operational, and technical expertise needed to support active study teams. The NCC will develop multiple strategies for data collection, as well as procedures and templates to streamline the approval and implementation of Network studies. Over more than 25 years, the NCC has developed a large repertoire of tools, technologies, processes and policies to coordinate multi-center research studies, and it will provide a solid foundation to support the Network.", "keywords": [ "Architecture", "COVID-19", "Clinical", "Collaborations", "Communication", "Concept Review", "Data", "Data Collection", "Data Management Resources", "Databases", "Dental", "Dental Care", "Dental Care Delivery", "Dental General Practice", "Dental Research", "Dentists", "Development", "Effectiveness", "Equipment and supply inventories", "Foundations", "Group Practice", "Infrastructure", "Institutional Review Boards", "Leadership", "Link", "Medical", "Methodology", "Multicenter Studies", "Oral health", "Patient Recruitments", "Policies", "Population", "Procedures", "Process", "Productivity", "Provider", "Reporting", "Research", "Research Design", "Research Infrastructure", "Resources", "Secure", "Site", "Solid", "Source", "Strategic Planning", "Surveys", "System", "Technical Expertise", "Technology", "Training", "Work", "base", "coronavirus disease", "data modeling", "experience", "follow-up", "health record", "operation", "outreach", "practice-based research network", "research study", "support network", "tool", "trend", "web site" ], "approved": true } }, { "type": "Grant", "id": "9262", "attributes": { "award_id": "75N91020C00040-0-9999-1", "title": "DIGITAL HEALTH SOLUTIONS FOR COVID-19: PERSONALIZED ANALYTICS WEARABLE BIOSENSOR PLATFORM FOR EARLY DETECTION OF COVID-19 DECOMPENSATION", "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": "2020-09-14", "end_date": "2021-01-22", "award_amount": 2305814, "principal_investigator": { "id": 25003, "first_name": "KAREN", "last_name": "LARIMER", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1814, "ror": "", "name": "VGBIO, INC.", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1814, "ror": "", "name": "VGBIO, INC.", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "The goal of this project is to develop an artificial intelligence-based data analytics and cloud computing platform, paired with U.S. Food and Drug Administration (FDA)-cleared wearable devices, to create a personalized baseline index that could indicate a change in health status for patients who have tested COVID-19 positive. The project involves the development and validation of a COVID-19 Decompensation Index (CDI) that builds off physIQ’s existing wearable biosensor-derived analytics platform. Data will be collected from 400 human subjects that are both pre-hospitalization subjects (found to be positive for COVID-19) and subjects that have been hospitalized and treated for COVID and then discharged. This combined population will consist of COVID-19 decompensation cases (event cases) and cases for which COVID-19 did not result in any kind of decompensation (non-event cases). The 400-patient dataset will be partitioned into a training subset and a testing subset. Performance will be assessed using receiver operator characteristics (ROC) area under the curve (AUC) as the metric of performance. Data collected under this project will be deidentified and securely transmitted to an NIH data hub.", "keywords": [ "Area Under Curve", "Artificial Intelligence", "Biosensor", "COVID-19", "Cloud Computing", "Data", "Data Analytics", "Data Set", "Development", "Early Diagnosis", "Event", "Goals", "Health", "Health Status", "Hospitalization", "Patients", "Performance", "Population", "Receiver Operating Characteristics", "Secure", "Testing", "Training", "United States Food and Drug Administration", "United States National Institutes of Health", "Validation", "base", "computational platform", "coronavirus disease", "data hub", "digital", "human subject", "indexing", "wearable device" ], "approved": true } }, { "type": "Grant", "id": "9263", "attributes": { "award_id": "75N91020C00040-P00001-9999-1", "title": "DIGITAL HEALTH SOLUTIONS FOR COVID-19: PERSONALIZED ANALYTICS WEARABLE BIOSENSOR PLATFORM FOR EARLY DETECTION OF COVID-19 DECOMPENSATION", "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": "2020-09-14", "end_date": "2021-09-13", "award_amount": 4338693, "principal_investigator": { "id": 25003, "first_name": "KAREN", "last_name": "LARIMER", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1814, "ror": "", "name": "VGBIO, INC.", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1814, "ror": "", "name": "VGBIO, INC.", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "The goal of this project is to develop an artificial intelligence-based data analytics and cloud computing platform, paired with U.S. Food and Drug Administration (FDA)-cleared wearable devices, to create a personalized baseline index that could indicate a change in health status for patients who have tested COVID-19 positive. The project involves the development and validation of a COVID-19 Decompensation Index (CDI) that builds off physIQ’s existing wearable biosensor-derived analytics platform. Data will be collected from 400 human subjects that are both pre-hospitalization subjects (found to be positive for COVID-19) and subjects that have been hospitalized and treated for COVID and then discharged. This combined population will consist of COVID-19 decompensation cases (event cases) and cases for which COVID-19 did not result in any kind of decompensation (non-event cases). The 400-patient dataset will be partitioned into a training subset and a testing subset. Performance will be assessed using receiver operator characteristics (ROC) area under the curve (AUC) as the metric of performance. Data collected under this project will be deidentified and securely transmitted to an NIH data hub.", "keywords": [ "Area Under Curve", "Artificial Intelligence", "COVID-19", "COVID-19 early detection", "Cloud Computing", "Data", "Data Analytics", "Data Set", "Development", "Event", "Goals", "Health Status", "Hospitalization", "Patients", "Performance", "Population", "Receiver Operating Characteristics", "SARS-CoV-2 positive", "Secure", "Testing", "Training", "United States Food and Drug Administration", "United States National Institutes of Health", "Validation", "base", "computational platform", "coronavirus disease", "data hub", "digital health", "human subject", "indexing", "wearable device", "wearable sensor technology" ], "approved": true } }, { "type": "Grant", "id": "10295", "attributes": { "award_id": "1S10OD032472-01", "title": "High-end MALDI Time of Flight Mass Spectrometer for Bioanalysis", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)", "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [ { "id": 11602, "first_name": "GUANGHU", "last_name": "Wang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-15", "end_date": "2023-08-14", "award_amount": 599999, "principal_investigator": { "id": 26248, "first_name": "Alexandra", "last_name": "Ros", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 912, "ror": "", "name": "ARIZONA STATE UNIVERSITY-TEMPE CAMPUS", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "Mass spectrometry (MS) is an essential tool to support biologically and biomedically related research at Arizona State University (ASU). In 2018, ASU has centralized its mass spectrometry services in a core facility that serves over 100 researchers throughout ASU and surrounding academic and biotechnology entities. ASU is proud of having been recognized as #1 in innovation for the 6th time in a row by US News, but to hold this status and serve the needs for the ASU research community and its students, core and support facilities need to meet the requirements of the next generation cutting-edge research environment. The MS Core Facility at ASU is centrally located in the Biodesign Institute, a forerunner of biological and medical invention focusing on societal problems such as for example a saliva based COVID-19 test that was made available to the Arizona public during the ongoing pandemic. ASU and the Biodesign Institute also thrive as a top research institution for biomolecular structure elucidation to unlock key biomolecular details responsible for biological and medical processes involved in metabolism and diseases such as cancer and neurodegenerative disorders. Researchers at ASU also strive in gaining biomolecular signatures important to understand energy conversion and photosynthesis to solve our and future generation’s energy needs. In addition, the School of Molecular Sciences at ASU has among its faculty members talented young and established researchers that take molecular sciences to the next level with innovative synthesis approaches. All these areas require reliable and flexibly accessible structure elucidation tools, which in many cases is accomplished or supplemented through matrix assisted laser desorption ionization (MALDI) MS. However, the MS core facility at ASU only owns one rather basic MALDI MS instrument, which we intend to supplement through the current proposal with a more sensitive and higher resolution instrument also capable of MALDI imaging. With this new MALDI MS instrument we will upgrade the available MS analysis capabilities at ASU to meet the needs of our currently funded NIH researchers but also provide a tool paving the way for the next generation of research projects facilitated through high end mass spectrometry.", "keywords": [ "Area", "Arizona", "Biological", "Biotechnology", "COVID-19 test", "Communities", "Core Facility", "Disease", "Environment", "Faculty", "Funding", "Future Generations", "Image", "Institutes", "Institution", "Malignant Neoplasms", "Mass Spectrum Analysis", "Medical", "Metabolism", "Molecular", "Neurodegenerative Disorders", "Photosynthesis", "Process", "Research", "Research Personnel", "Research Project Grants", "Resolution", "Saliva", "Schools", "Science", "Services", "Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization", "Structure", "Students", "Talents", "Time", "United States National Institutes of Health", "Universities", "base", "flexibility", "innovation", "instrument", "invention", "mass spectrometer", "member", "news", "next generation", "pandemic disease", "tool" ], "approved": true } }, { "type": "Grant", "id": "7305", "attributes": { "award_id": "3U45ES019337-11S1", "title": "NPETE's Community College Consortium for Health and Safety Training", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Environmental Health Sciences (NIEHS)" ], "program_reference_codes": [], "program_officials": [ { "id": 9886, "first_name": "James W", "last_name": "Remington", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2010-08-17", "end_date": "2022-05-31", "award_amount": 200000, "principal_investigator": { "id": 23092, "first_name": "William Kester", "last_name": "Nash", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1567, "ror": "", "name": "NATIONAL PARTNERSHIP/ENVIRONMNTL/TECH/ED", "address": "", "city": "", "state": "ME", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1567, "ror": "", "name": "NATIONAL PARTNERSHIP/ENVIRONMNTL/TECH/ED", "address": "", "city": "", "state": "ME", "zip": "", "country": "United States", "approved": true }, "abstract": "The National Partnership for Environmental Technology Education, ME, in partnership with the Hazardous Materials Training and Research Institute, IA, submits this proposal on behalf of the Community College Consortium for Health and Safety Training (CCCHST) to provide convenient, memorable, and cost-effective training for hazardous materials and waste workers engaged in waste treatment, storage and disposal, hazardous waste generation, clean up and remedial action, emergency response and hazardous materials transportation. CCCHST membership consists of community colleges partnered with business and industry, universities, and community-based organizations offering a consistent and quality response to the national training need for hazardous waste workers and emergency response personnel. The goal of CCCHST is to make NIEHS-approved worker training nationally available through over 100 CCCHST organizations, whose instructors are prepared through a Train-the- Trainer model program, offering hazardous materials instruction in nearly all states of the nation. CCCHST instructors, prepared and supported by PETE and HMTRI, will annually train a minimum 30,000 students, workers, and supervisors to protect themselves and their communities from exposure to hazardous materials encountered during hazardous waste site cleanup, Brownfields redevelopment, transportation of hazardous materials, and response to spills and releases of hazardous materials, offering a minimum 300,000 contact hours of instruction each year. New to the grant cycle 2015-20, PETE will add two new missions to its core Train-the-Trainer model program. (1) Veterans Haz Mat Worker Training. PETE will add a direct worker training program for Army personnel transitioning to the public sector. Annually, 200 US Army personnel leaving the service from Fort Riley (KS), Fort Leonard Wood (MO), Joint Base Lewis-McChord (WA), Fort Sill (OK), Fort Carson (CO) will participate in 76 hours of training, leading to certificates in 40-hr HazWoper, 26-hr OSHA 2015 Haz Mat, and OSHA 10-hr General Industry. (2) Haz Mat Disaster Preparedness Training Program providing a six-day Haz Mat Disaster Preparedness Train-the-Trainer program for 20 instructors annually, and in subsequent years, a two-day Refresher for trainers who serve a wide variety of students. They include BPSOS instructors teaching Vietnamese in the disaster-prone areas of the Gulf; CERT High School and AmeriCorps instructors preparing disadvantaged alternative high school students and CCCHST instructors who teach our first responders and industrial workers.", "keywords": [ "Area", "Army Personnel", "Attention", "Automobile Driving", "Businesses", "Certificate of Need", "Certification", "Communities", "Community Workers", "Disadvantaged", "Disasters", "Education", "Educational process of instructing", "Educational workshop", "Electronic Mail", "Emergency response", "Employment", "Employment Opportunities", "Enrollment", "Environment", "Evaluation", "Exposure to", "Generations", "Goals", "Government", "Grant", "Guam", "Hazardous Chemicals", "Hazardous Substances", "Hazardous Waste", "Hazardous Waste Operations and Emergency Response", "Hazardous Waste Sites", "Health", "High School Student", "Hour", "Human Resources", "Industrialization", "Industry", "Institutes", "Instruction", "Internet", "Joints", "Learning", "Maintenance", "Mission", "Modeling", "National Institute of Environmental Health Sciences", "Natural Disasters", "Participant", "Performance", "Persons", "Public Sector", "Puerto Rico", "Readiness", "Religion", "Research Institute", "Safety", "Services", "Students", "Teacher Professional Development", "Technology", "Telephone", "Trainers Training", "Training", "Training Programs", "Training Support", "Training and Education", "Transportation", "Universities", "Veterans", "Wood material", "Workforce Development", "Workplace", "base", "career", "climate change", "community college", "cost effective", "demographics", "first responder", "hazardous materials disaster", "hazardous materials worker", "high school", "instructor", "learning materials", "member", "prevent", "programs", "quality assurance", "response", "symposium", "technical college", "tribal college", "university student", "volunteer", "waste treatment", "wasting" ], "approved": true } }, { "type": "Grant", "id": "5834", "attributes": { "award_id": "1S10OD030463-01", "title": "COVID and Translational Science supercomputer (CATS)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [ { "id": 20018, "first_name": "GUANGHU", "last_name": "Wang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-06-01", "end_date": "2022-05-31", "award_amount": 2000000, "principal_investigator": { "id": 20019, "first_name": "Patricia", "last_name": "Kovatch", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 625, "ror": "https://ror.org/04a9tmd77", "name": "Icahn School of Medicine at Mount Sinai", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "Abstract: To enable new kinds of scientific discovery and translation related to the newly emerged COVID-19 pandemic, we are requesting a new high-performance instrument with large shared memory nodes. The COVID and Translational Science (CATS) supercomputer, will support over $120 million in 50 research projects for 46 PIs. Due to the urgent need for improved understanding, diagnosis, treatment and prevention of COVID-19, related projects are very time-sensitive in the near-term. CATS will also be utilized for a spectrum of translational science applications from molecular dynamic simulations leading towards drug discovery and multi-scale analyses incorporating omic, electronic medical record data and images. Even after the pandemic is better controlled, research will continue for years on the post-COVID-19 syndrome due to its complex invasion on multiple organ systems. Other disease areas needing CATS include psychiatric disease, asthma, Down syndrome, myocarditis, Dengue fever and brain cancer. In total, CATS will contain with 2,640 Intel cores, 82 TB of memory and 16 petabytes of storage. The enhanced capabilities of CATS will shorten the time to solution and enable more complex biomedical analyses.", "keywords": [ "Area", "Asthma", "COVID-19 pandemic", "COVID-19 prevention", "Complex", "Computerized Medical Record", "Data", "Dengue Fever", "Diagnosis", "Disease", "Down Syndrome", "Image", "Long COVID", "Malignant neoplasm of brain", "Memory", "Mental disorders", "Molecular", "Myocarditis", "Performance", "Research", "Research Project Grants", "Time", "Translational Research", "Translations", "body system", "coronavirus disease", "drug discovery", "improved", "instrument", "pandemic disease", "petabyte", "shared memory", "simulation", "supercomputer", "translational pipeline" ], "approved": true } }, { "type": "Grant", "id": "8409", "attributes": { "award_id": "1R13DK128849-01", "title": "CSHL 2021 Mechanisms of Metabolic Signaling Conference", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)" ], "program_reference_codes": [], "program_officials": [ { "id": 21382, "first_name": "Yan", "last_name": "Li", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-06-11", "end_date": "2022-03-31", "award_amount": 15000, "principal_investigator": { "id": 23978, "first_name": "DAVID J.", "last_name": "STEWART", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [ { "id": 992, "ror": "https://ror.org/02qz8b764", "name": "Cold Spring Harbor Laboratory", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 992, "ror": "https://ror.org/02qz8b764", "name": "Cold Spring Harbor Laboratory", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "Cold Spring Harbor Laboratory Conference on Mechanisms of Metabolic Signaling May 18 – 22, 2021 Project Summary This proposal seeks support for the meeting on “Mechanisms of Metabolic Signaling” to be held at Cold Spring Harbor Laboratory in May 18 - 22, 2021. The meeting will assemble leaders in the field, together with junior faculty, postdoctoral fellows and graduate students, to discuss the latest advances in our understanding of metabolic regulation and its role in normal physiology as well as a variety of disease states ranging from obesity to cancer. Metabolic processes are required for life, and are remarkably similar from organism to organism and from cell to cell. In mammals, specific cell types use metabolic pathways in highly specialized ways to conduct their cell-specific functions. Further, the specialized function of some cell types serves to maintain metabolic homeostasis of the, multicellular organism by regulating levels of hormone and metabolite messengers in the bloodstream. Metabolic diseases such as obesity and diabetes result when those processes fail. At the same time, cancer is increasingly recognized as a state whereby the malignant cell proliferates by altering its fuel metabolism and ignoring metabolic signals. The meeting will cover a broad spectrum of topics ranging from Metabolic Crosstalk with Genome and Epigenome to Interorgan Crosstalk and Nutrient Utilization. In addition, one session is dedicated to Emerging Technologies in the field. Each session will be chaired by a leading scientist in the field. Oral presentations will be given by a group of distinguished invited speakers as well as speakers selected from submitted abstracts. Selected speakers will include graduate students, postdoctoral fellows and junior faculty aiming for maximal inclusion of young investigators. Of special importance are the two poster sessions, where many participants can present their work in an atmosphere conducive to informal discussion. The meeting will be of moderate size, and we expect about 250 people to attend, the vast majority of whom will be presenting a poster or talk. In the event that the COVID19 pandemic situation is still ongoing in spring 2021, we will plan to run the meeting as a virtual event. CSHL has begun very successfully holding virtual meetings, with the virtual glia meeting for example attracting 1,125 attendees. Even if the meeting is able to be held in person, we will consider having a virtual audience layered on top of the in person attendance. This will be important both because travel concerns are likely to persist for some time after the pandemic, and because, looking to the future, virtual attendance at meetings will help to reduce the effects of scientific conferences on climate change and enable more equitable participation from labs around the world.", "keywords": [ "Area", "Atmosphere", "Biochemistry", "Blood Circulation", "COVID-19 pandemic", "Cardiovascular Diseases", "Cells", "Clinical", "Collaborations", "Country", "Data", "Development", "Diabetes Mellitus", "Discipline", "Disease", "Emerging Technologies", "Ensure", "Environment", "Equilibrium", "Event", "Faculty", "Fostering", "Future", "Gender", "Genome", "Goals", "Homeostasis", "Hormones", "Industrialization", "Institution", "International", "Laboratories", "Lead", "Length of Stay", "Life", "Malignant Neoplasms", "Mammals", "Metabolic", "Metabolic Control", "Metabolic Diseases", "Metabolic Pathway", "Metabolism", "Methodology", "Molecular Biology", "Mutation", "Neuroglia", "Nutrient", "Obesity", "Oral", "Organism", "Participant", "Pathway interactions", "Persons", "Physiology", "Play", "Postdoctoral Fellow", "Process", "Proliferating", "Published Comment", "Reagent", "Regulation", "Research", "Research Personnel", "Role", "Running", "Schedule", "Scientist", "Signal Transduction", "System", "Technology", "Time", "Travel", "Work", "cancer cell", "cell type", "climate change", "environmental change", "epigenome", "field study", "graduate student", "innovation", "insight", "interdisciplinary approach", "interest", "laboratory facility", "meetings", "metabolic abnormality assessment", "novel", "pandemic disease", "posters", "preference", "symposium", "unpublished works", "virtual" ], "approved": true } } ], "meta": { "pagination": { "page": 1405, "pages": 1424, "count": 14236 } } }