Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1391&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=1392&sort=keywords", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1390&sort=keywords" }, "data": [ { "type": "Grant", "id": "10564", "attributes": { "award_id": "1R03HD107047-01A1", "title": "Data Archiving and Dissemination for Comparative Population Science", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)" ], "program_reference_codes": [], "program_officials": [ { "id": 9683, "first_name": "REGINA M", "last_name": "BURES", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-16", "end_date": "2024-08-31", "award_amount": 82250, "principal_investigator": { "id": 26581, "first_name": "Sabrina", "last_name": "Hermosilla", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 781, "ror": "", "name": "COLUMBIA UNIVERSITY HEALTH SCIENCES", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "The creation of large, scientific studies of human behavior, social experience, and health in the general population form the cornerstone of data creation investments of the past five decades. Because the data from these studies are essential for the construction and evaluation of public policies and programs to improve the health and wellbeing of the population, NICHD places a high scientific priority on dissemination activities and tools that significantly expand the scientific use of such data. A key limitation of these dissemination efforts, thus far, is a relative dearth of data from non-U.S. populations. Dissemination of rigorous non-U.S. population data resources are urgently needed to quickly and easily test the breadth of external validity of key social, behavioral, and public health findings. We leverage NICHD’s long-term investment in the Chitwan Valley Family Study (CVFS) in Nepal to achieve this high-priority objective. The CVFS is an excellent comparative data resource, featuring a 25-year panel study from Nepal with many important features. First, the CVFS was designed to replicate features from the best longitudinal studies, such as the Panel Study of Income Dynamics and the British Household Panel Survey. Second, it was designed to measure change over time in the community level, as opposed to the individual and household levels alone. Third, the CVFS measures environmental change over time. Fourth, the CVFS follows all migrants (both individuals and households), no matter where they move, and periodically refreshes the sample with in-migrants. Finally, the CVFS has newly collected saliva-based DNA samples from all family members, blood-based anemia screening for all children, and COVID-19 disruption data on all households. Though CVFS content originally focused on family and fertility, it now includes measures from domains such as child and adolescent health. The CVFS is thus an unparalleled resource for studying NICHD priorities. We will transform access to this special resource with changes focused on use of the CVFS data, measures specially designed to facilitate comparisons, construction of new data files to speed data linking and data analysis, construction of new learning tools, and new web-based analysis tools. The activities are specifically designed to improve the transparency of comparability between CVFS and data from other settings to assist scientists making these comparisons. We will also improve data quality and user experience so the complexity of these multilevel, 25-year, multi-topic data is not an obstacle to data use. Unmatched in longevity, breadth, and its multilevel (individual, household, community) structure, the CVFS is an ideal resource for international comparative research and model testing that advances the scientific understanding of many high-priority social, behavioral, and health science questions.", "keywords": [ "American", "Anemia", "Archives", "Award", "Behavior", "Behavioral Sciences", "Blood", "British", "COVID-19", "Child", "Child Health", "Communities", "Complex", "DNA", "Data", "Data Analyses", "Data Files", "Data Set", "Demography", "Evaluation", "Family", "Family Study", "Family member", "Fertility", "Funding", "General Population", "Health", "Health Sciences", "Household", "Human", "Individual", "International", "Investments", "Journals", "Learning", "Link", "Longevity", "Longitudinal Studies", "Measures", "Migrant", "Modeling", "Modernization", "National Institute of Child Health and Human Development", "Nepal", "Online Systems", "Outcome", "Paper", "Peer Review", "Personal Satisfaction", "Population", "Population Sciences", "Public Health", "Public Policy", "Publishing", "Research", "Research Personnel", "Resources", "Saliva", "Sampling", "Scientific Advances and Accomplishments", "Scientist", "Series", "Services", "Social Sciences", "Sociology", "Speed", "Structure", "Surveys", "Testing", "Time", "Western Europe", "adolescent health", "adolescent health outcomes", "archive data", "base", "behavioral health", "comparative", "data archive", "data dissemination", "data quality", "data resource", "data sharing", "data tools", "design", "environmental change", "experience", "improved", "innovation", "panel study of income dynamics", "programs", "response", "screening", "social", "study population", "support tools", "tool", "usability", "web site" ], "approved": true } }, { "type": "Grant", "id": "8124", "attributes": { "award_id": "1R43GM140807-01", "title": "Fizz Reader: Interactive Accessible Data Visualizations Through an NLG Interface", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)" ], "program_reference_codes": [], "program_officials": [ { "id": 23999, "first_name": "Edgardo", "last_name": "Falcon-Morales", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-03-02", "end_date": "2022-08-31", "award_amount": 175784, "principal_investigator": { "id": 24000, "first_name": "Douglas Alan", "last_name": "Schepers", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1683, "ror": "", "name": "FIZZ STUDIO LLC", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1683, "ror": "", "name": "FIZZ STUDIO LLC", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "Specific Aims There are many modern approaches to accessibility in data visualizations, from simple but inadequate alternative data tables to excellent work with tactile graphics, haptics, and sonification. Each has its benefits and limitations, but common underlying weaknesses to the advanced methods are lack of precision and need for reader training. By contrast, most of the 7.7 million Americans with visual disabilities are at least moderately skilled in using a screen reader. However, this typically limits users to serial data point access, the equivalent of a data table, which does not provide an equivalent experience to the advantages of data visualizations. It decreases independence and professional opportunities, increases stress, decreases quality of life, and puts vulnerable people at risk when crucial public health information is disseminated in graphical-only form, such as in the current COVID-19 pandemic. The long range goal of this Phase I project is to create technologies that permit authors and developers of web sites to effortlessly publish charts, diagrams, and infographics that are fully usable by all people, in particular people who are blind, low-vision, or have cognitive disabilities. In this Phase I SBIR project, we will assess the feasibility of creating interactive contextual automatic descriptions that enable the reader to construct an accurate working mental model of the data with minimal effort and time, to perform tasks and make decisions. Fizz Studio has created a software package, Fizz Charts, that generates accessible keyboard-browsable charts for use on any website. We seek to enhance this with Fizz Reader, a novel interactive interface that uses natural language generation (NLG) to enable the user to query the chart for quick answers about each data point, its relationship to other data points and to the chart statistics, and to high-level or detailed trends and patterns in the data. The effect is of one person explaining the chart to another over the phone, and providing relevant and rapid answers to help the listener understand as much of the data as they wish for a core set of 7 common chart types: bar; line; pie; histogram; scatterplot; heatmap; and flowchart. Aim 1: Develop effective interactive NLG model and engine module To concisely communicate relevant details to the user, we will design a comprehensive set of tasks for all supported chart types, and a set of NLG templates for each chart component (e.g. data point, axis, title). We will use these NLG templates to develop a software module which composes colloquial utterances from an internal statistical data model we build from the data extracted from the chart. Each set of options will represent the affordances optimal for the chart type (e.g. comparisons for bar charts, changes over time for line charts). This module will have a client-server API architecture, to make it adaptable to multiple user interface modalities, including the screen reader intermediary in Aim 2, as well as a standalone digital assistant or a component in a smart speaker. To ensure effectiveness and clarity, we will perform multi-phase testing for usability and task accomplishment with 10-20 blind and low-vision human subjects, and integrate their feedback. We seek 80% successful task accomplishment across all chart types and tasks. Aim 2: Implement a browser-based screen reader intermediary User Interface Module (UIM) To integrate our NLG module directly into the browser, for on-demand presentation of the generated NLG chart information to users of screen readers, we will implement an option-based interface using JavaScript and ARIA technologies. Each set of options will be context-dependent on the currently focused item (e.g. data point, axis, title), and will reflect the optimal tasks for that item in that specific chart type, to enable users to use keyboard input to select from a virtual dropdown of options, and the results will be returned as text to be presented by the screen reader or braille display. We will use a Lean development methodology to test for 95% interoperability across common browsers, operating systems, mobile devices, and screen readers. Conclusion and goals for Phase II The purpose of this Phase I grant is to significantly advance the state of the art for the accessibility of data charts for people with visual disabilities to aid them in their personal and professional lives. In Phase II, we will build on this foundation to support more complex diagram types including schematics, refine the UI for more operations, and explore other deployments such as smart speakers, browser extensions, or app plugins.", "keywords": [ "American", "Architecture", "Braille Display", "COVID-19 pandemic", "Client", "Complex", "Computer software", "Data", "Decision Making", "Development", "Effectiveness", "Ensure", "Feedback", "Flowcharts", "Foundations", "Generations", "Goals", "Grant", "Methodology", "Methods", "Modality", "Modeling", "Modernization", "Operating System", "Pattern", "Persons", "Phase", "Psyche structure", "Public Health", "Publishing", "Quality of life", "Reader", "Risk", "Small Business Innovation Research Grant", "Stress", "Tactile", "Technology", "Telephone", "Testing", "Text", "Thinness", "Time", "Training", "Visual", "Visual impairment", "Work", "base", "blind", "cognitive disability", "data modeling", "data visualization", "design", "disability", "experience", "handheld mobile device", "haptics", "human subject", "intelligent personal assistant", "interoperability", "natural language", "novel", "operation", "statistics", "trend", "usability", "virtual", "web site" ], "approved": true } }, { "type": "Grant", "id": "8082", "attributes": { "award_id": "75N92021D00008-0-759202100001-1", "title": "RAPID ACCELERATION OF DIAGNOSTICS (RADX) CLINICAL EVALUATION SERVICES--TASK AREA A, ADMINISTRATIVE SUPPORT", "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": "2021-02-17", "end_date": "2022-02-16", "award_amount": 733923, "principal_investigator": { "id": 23973, "first_name": "MARK", "last_name": "MARINO", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1670, "ror": "https://ror.org/00mgk5c15", "name": "VentureWell", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1670, "ror": "https://ror.org/00mgk5c15", "name": "VentureWell", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "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", "Area", "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", "Exhalation", "Funding", "Goals", "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", "Readiness", "Research", "Saliva", "Sampling", "Seasons", "Sensitivity and Specificity", "Services", "Speed", "Structure", "Technology", "Test Result", "Testing", "Time", "TimeLine", "United States National Institutes of Health", "Validation", "Virus", "base", "commercialization", "cost", "design", "detection limit", "flu", "handheld mobile device", "home test", "improved", "innovation", "meetings", "novel", "point of care", "product development", "programs", "research clinical testing", "scale up", "technology development", "user-friendly" ], "approved": true } }, { "type": "Grant", "id": "8300", "attributes": { "award_id": "1R13CA261080-01", "title": "Support of the North American Association of Central Cancer Registries, Inc. (NAACCR) Annual Scientific Conference", "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": [ { "id": 24101, "first_name": "Rose", "last_name": "Mills", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-05-01", "end_date": "2025-04-30", "award_amount": 29629, "principal_investigator": { "id": 24102, "first_name": "Betsy A", "last_name": "Kohler", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1697, "ror": "", "name": "NORTH AMERICAN ASSN/CENTRAL CANCER REG", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1697, "ror": "", "name": "NORTH AMERICAN ASSN/CENTRAL CANCER REG", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "NAACCR Annual Scientific Conference Project Summary R13 20-207 Cancer surveillance data are the lynchpin of the cancer data ecosystem. Only through the collection of accurate, standardized, curated data on every cancer patient in the U.S. can we truly monitor and evaluate our progress against cancer. The goal of this application is to convene annual conferences that will strengthen collaboration between the cancer surveillance community and cancer researchers to maximize the impact of cancer registries in advancing our scientific understanding. NAACCR has hosted the most influential and informative annual conference for cancer surveillance scientists in North America for over 30 years. It is the largest meeting of its kind for population-based cancer registries to participate in the advancement of cancer surveillance data science, learn new techniques, exchange information, and develop efficient and cost-effective work practices. This year, renowned speakers and surveillance experts will highlight changes in cancer care, data sources, technology, and research requirements and focus on integrating with cancer surveillance so as to make cancer registries more useful and accessible to researchers. The objective of this conference grant is to: Convene a conference for cancer researchers, NAACCR members and the cancer surveillance community to demonstrate the utility and value of cancer surveillance data in a wide array of cancer research applications, including cancer control, cohort matching through the NAACCR Virtual Pooled Registry, clinical surveillance, pharmacoepidemiology, and population-based site specific prognostic indicators. Cancer surveillance data forms the backbone of countless cancer research studies each year. The methods used will be the planning and implementation of a world-class scientific conference, with workshops, break-out sessions, panel discussions, keynotes, plenaries, and posters. In addition, we plan to encourage attendance and enhance diversity by subsidizing registration for delegates from under-resourced countries. Awards will be based on need and/or guidelines of NCI’s Office of Global Health. Due to ongoing uncertainty around travel restrictions and social distancing measures resulting from the COVID-19 global pandemic, we plan to use a hybrid in-person/virtual conference model in 2021 and, potentially, subsequent years. Making some portion of the conference available via an online virtual format allows us to achieve our specific aims while accommodating the needs of attendees. The NAACCR meeting is the only cancer surveillance meeting that draws participation from every state and province in U.S. and Canada. This conference provides an excellent opportunity for participation by groups that are often under-represented in science, particularly women and minorities, and the location of the conference is selected to ensure a mix of regional, national and international participation and representation.", "keywords": [ "American", "Award", "Biology", "COVID-19 pandemic", "Canada", "Cancer Control", "Cancer Patient", "Cancer Surveillance Research", "Clinical", "Collaborations", "Collection", "Communication", "Communities", "Consensus", "Country", "Coupled", "Data", "Data Analyses", "Data Collection", "Data Science", "Data Sources", "Discipline", "Educational workshop", "Ensure", "Epidemiologist", "Evaluation", "Foundations", "Future", "Goals", "Grant", "Guidelines", "Health", "Hybrids", "Influentials", "Interdisciplinary Study", "International", "Learning", "Location", "Malignant Neoplasms", "Measures", "Mentorship", "Methodology", "Methods", "Minority", "Modeling", "Monitor", "North America", "Persons", "Pharmacoepidemiology", "Prognostic Marker", "Province", "Registries", "Research", "Research Activity", "Research Personnel", "Resources", "Science", "Scientific Advances and Accomplishments", "Scientist", "Site", "Social Distance", "Standardization", "Students", "Techniques", "Technology", "Travel", "Uncertainty", "Underrepresented Populations", "Vertebral column", "Woman", "Work", "anticancer research", "base", "cancer care", "cancer epidemiology", "clinical care", "cohort", "cost effective", "data ecosystem", "global health", "improved", "innovation", "interest", "meetings", "member", "neoplasm registry", "population based", "posters", "programs", "research study", "surveillance data", "symposium", "virtual" ], "approved": true } }, { "type": "Grant", "id": "8301", "attributes": { "award_id": "5R13CA261080-02", "title": "Support of the North American Association of Central Cancer Registries, Inc. (NAACCR) Annual Scientific Conference", "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": [ { "id": 24101, "first_name": "Rose", "last_name": "Mills", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-05-01", "end_date": "2025-04-30", "award_amount": 29629, "principal_investigator": { "id": 24102, "first_name": "Betsy A", "last_name": "Kohler", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1697, "ror": "", "name": "NORTH AMERICAN ASSN/CENTRAL CANCER REG", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1697, "ror": "", "name": "NORTH AMERICAN ASSN/CENTRAL CANCER REG", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "NAACCR Annual Scientific Conference Project Summary R13 20-207 Cancer surveillance data are the lynchpin of the cancer data ecosystem. Only through the collection of accurate, standardized, curated data on every cancer patient in the U.S. can we truly monitor and evaluate our progress against cancer. The goal of this application is to convene annual conferences that will strengthen collaboration between the cancer surveillance community and cancer researchers to maximize the impact of cancer registries in advancing our scientific understanding. NAACCR has hosted the most influential and informative annual conference for cancer surveillance scientists in North America for over 30 years. It is the largest meeting of its kind for population-based cancer registries to participate in the advancement of cancer surveillance data science, learn new techniques, exchange information, and develop efficient and cost-effective work practices. This year, renowned speakers and surveillance experts will highlight changes in cancer care, data sources, technology, and research requirements and focus on integrating with cancer surveillance so as to make cancer registries more useful and accessible to researchers. The objective of this conference grant is to: Convene a conference for cancer researchers, NAACCR members and the cancer surveillance community to demonstrate the utility and value of cancer surveillance data in a wide array of cancer research applications, including cancer control, cohort matching through the NAACCR Virtual Pooled Registry, clinical surveillance, pharmacoepidemiology, and population-based site specific prognostic indicators. Cancer surveillance data forms the backbone of countless cancer research studies each year. The methods used will be the planning and implementation of a world-class scientific conference, with workshops, break-out sessions, panel discussions, keynotes, plenaries, and posters. In addition, we plan to encourage attendance and enhance diversity by subsidizing registration for delegates from under-resourced countries. Awards will be based on need and/or guidelines of NCI’s Office of Global Health. Due to ongoing uncertainty around travel restrictions and social distancing measures resulting from the COVID-19 global pandemic, we plan to use a hybrid in-person/virtual conference model in 2021 and, potentially, subsequent years. Making some portion of the conference available via an online virtual format allows us to achieve our specific aims while accommodating the needs of attendees. The NAACCR meeting is the only cancer surveillance meeting that draws participation from every state and province in U.S. and Canada. This conference provides an excellent opportunity for participation by groups that are often under-represented in science, particularly women and minorities, and the location of the conference is selected to ensure a mix of regional, national and international participation and representation.", "keywords": [ "American", "Award", "Biology", "COVID-19 pandemic", "Canada", "Cancer Control", "Cancer Patient", "Cancer Surveillance Research", "Clinical", "Collaborations", "Collection", "Communication", "Communities", "Consensus", "Country", "Coupled", "Data", "Data Analyses", "Data Collection", "Data Science", "Data Sources", "Discipline", "Educational workshop", "Ensure", "Epidemiologist", "Evaluation", "Foundations", "Future", "Goals", "Grant", "Guidelines", "Health", "Hybrids", "Influentials", "Interdisciplinary Study", "International", "Learning", "Location", "Malignant Neoplasms", "Measures", "Mentorship", "Methodology", "Methods", "Minority", "Modeling", "Monitor", "North America", "Persons", "Pharmacoepidemiology", "Province", "Registries", "Research", "Research Activity", "Research Personnel", "Resources", "Science", "Scientific Advances and Accomplishments", "Scientist", "Site", "Social Distance", "Standardization", "Students", "Techniques", "Technology", "Travel", "Uncertainty", "Underrepresented Populations", "Vertebral column", "Woman", "Work", "anticancer research", "base", "cancer care", "cancer epidemiology", "clinical care", "cohort", "cost effective", "data ecosystem", "global health", "improved", "innovation", "interest", "meetings", "member", "neoplasm registry", "population based", "posters", "prognostic indicator", "programs", "research study", "surveillance data", "symposium", "virtual" ], "approved": true } }, { "type": "Grant", "id": "8196", "attributes": { "award_id": "75N92021P00116-0-0-1", "title": "THIS IS A CONTRACT AWARD FOR VENTUREWELL TO PROVIDE SUPPORT FOR TECHNICAL ASSESSMENTS AND PROJECT MANAGEMENT FOR THE NIBIB RAPID ACCELERATION OF DIAGN", "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": "2021-04-01", "end_date": "2021-12-31", "award_amount": 11288096, "principal_investigator": { "id": 23973, "first_name": "MARK", "last_name": "MARINO", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1670, "ror": "https://ror.org/00mgk5c15", "name": "VentureWell", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1670, "ror": "https://ror.org/00mgk5c15", "name": "VentureWell", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "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", "Award", "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", "Exhalation", "Funding", "Goals", "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", "Readiness", "Research", "Saliva", "Sampling", "Seasons", "Sensitivity and Specificity", "Speed", "Structure", "Technology", "Test Result", "Testing", "Time", "TimeLine", "United States National Institutes of Health", "Validation", "Virus", "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": "8433", "attributes": { "award_id": "1R13AR079882-01", "title": "15th Fellows Forum on Osteoporosis and Metabolic Bone Diseases", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)" ], "program_reference_codes": [], "program_officials": [ { "id": 24193, "first_name": "Kristy", "last_name": "Nicks", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-07-10", "end_date": "2022-06-30", "award_amount": 15000, "principal_investigator": { "id": 24194, "first_name": "JOHN P", "last_name": "BILEZIKIAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 781, "ror": "", "name": "COLUMBIA UNIVERSITY HEALTH SCIENCES", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 781, "ror": "", "name": "COLUMBIA UNIVERSITY HEALTH SCIENCES", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "This application seeks support for the 15th Fellows Forum on Osteoporosis and Metabolic Bone Diseases. The conference will be held September 29-30, 2021, immediately prior to the Annual Meeting of the American Society of Bone and Mineral Research in the Toronto Convention Center, Toronto, Canada. The program will also be held virtually or exclusively using a virtual platform, depending upon the status of the Covid-19 epidemic. We expect to have approximately 90 postdoctoral trainees who are united by their research interests but who are training in a number of different basic and clinical specialties. The faculty will consist of 11 of the most highly valued thought leaders in the world. The ability of young investigators with promise to interact with this faculty in a setting of both didactic and interactive workshops has been and will continue to be a seminal experience, leading to a further commitment on the part of these fellows to train in osteoporosis and other metabolic bone diseases.", "keywords": [ "American", "Basic Science", "COVID-19 pandemic", "Canada", "Clinical", "Clinical Sciences", "Discipline", "Educational workshop", "Endocrinology", "Faculty", "Functional disorder", "Learning", "Metabolic Bone Diseases", "Minerals", "Osteoporosis", "Research", "Research Personnel", "Seminal", "Societies", "Therapeutic", "Training", "Translational Research", "bone", "bone loss", "design", "experience", "interest", "lectures", "medical specialties", "meetings", "posters", "programs", "symposium", "virtual", "virtual platform" ], "approved": true } }, { "type": "Grant", "id": "7567", "attributes": { "award_id": "3U54MD012393-04S4", "title": "FIU Center for Reducing Health Disparities in Substance Abuse & HIV in South Florida", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Minority Health and Health Disparities (NIMHD)" ], "program_reference_codes": [], "program_officials": [ { "id": 6598, "first_name": "Deborah Elizabeth", "last_name": "Linares", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2017-09-20", "end_date": "2022-06-30", "award_amount": 199998, "principal_investigator": { "id": 23366, "first_name": "ERIC F", "last_name": "WAGNER", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 207, "ror": "https://ror.org/02gz6gg07", "name": "Florida International University", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 207, "ror": "https://ror.org/02gz6gg07", "name": "Florida International University", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true }, "abstract": "COVID-19 is a pandemic that has caused disastrous and unprecedented public health and economic consequences in the United States. The pandemic has seriously and negatively affected Americans’ physical and mental health, and disproportionately so the health of Americans from underrepresented minority backgrounds (URM). The proposed supplemental project will engage the large network of FIU-RCMI community partner organizations forged by our Engagement Core. Our primary focus will be on Miami-Dade organizations serving URM communities suffering disparities in rates of COVID-19 fatalities, infection, exposure, testing, and access to care. Our primary emphasis will be the developing, designing, and mounting of community-partnered efforts (i.e., Town Hall Meetings) to promote COVID-19 vaccine literacy among URM groups, with direct attention to readiness for participation in (a) candidate vaccine trials and (b) approved vaccine rapid deployment. The aims of this proposed supplement are to inform and educate Miami-Dade URM communities through Town Halls facilitated by community organizations that serve these hard-to reach communities. Our efforts will be community partnered and involve a formative phase for developing and testing materials, and an implementation phase for conducting Town Halls. The implementation phase also will include assessing the Town Halls’ impact on readiness for participation in (a) candidate vaccine trials and (b) approved vaccine rapid deployment. We anticipate reaching a minimum of 700 community stakeholders and influencers through the Town Halls. Town Hall participant data will be collected through real-time polling at the opening (pre) and close (post) of each Town Hall meeting. We hypothesize Town Hall participants will demonstrate pre-to-post increases in: knowledge of the risks and benefits of COVID-19 vaccine trials and vaccines; knowledge of the scientific process and vaccine safety and efficacy; confidence about participating in vaccine trials; trust in receiving the approved vaccines; and readiness to participate in vaccine trials and approved vaccines. Separately, Town Hall participants will be asked if they would like to participate in a vaccine trial; any Town Hall participant indicating interest will be asked to provide contact information, and will receive a follow-up contact from the FIU-RCMI with information and instructions on vaccine trial participation. 1", "keywords": [ "American", "Behavioral Genetics", "Benefits and Risks", "COVID-19", "COVID-19 pandemic", "COVID-19 vaccine", "Cessation of life", "Communities", "Complex", "County", "Data", "Death Rate", "Development", "Disadvantaged", "Economics", "Educational Materials", "Effectiveness", "Environmental Risk Factor", "Feedback", "Florida", "Fright", "General Population", "HIV", "Health", "Health Services Accessibility", "Health behavior", "Hospitalization", "Individual", "Infection", "Instruction", "International", "Knowledge", "Linguistics", "Materials Testing", "Mental Health", "Misinformation", "Outcome", "Participant", "Phase", "Population", "Process", "Public Health", "Readiness", "Recommendation", "Recording of previous events", "Research", "Risk", "Severities", "Structure", "Substance abuse problem", "Surveys", "Testing", "Time", "Trust", "Underrepresented Minority", "United States", "Universities", "Vaccines", "Vulnerable Populations", "World Health Organization", "base", "community consultation", "community organizations", "design", "directed attention", "follow-up", "health disparity", "health economics", "interest", "literacy", "meetings", "negative affect", "pandemic disease", "physical conditioning", "policy implication", "public trust", "rehearsal", "social", "social determinants", "social health determinants", "socioeconomics", "vaccine candidate", "vaccine efficacy", "vaccine safety", "vaccine trial", "virtual", "virus characteristic" ], "approved": true } }, { "type": "Grant", "id": "8617", "attributes": { "award_id": "5R01DA053232-02", "title": "Studying How State and Local Health Services Delivery Policies can Mitigate the Effects of Disasters on Drug Addiction Treatment and Overdose: A Mixed-Methods Study of COVID-19.", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Drug Abuse (NIDA)" ], "program_reference_codes": [], "program_officials": [ { "id": 22314, "first_name": "Lori", "last_name": "Ducharme", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-08-01", "end_date": "2025-05-31", "award_amount": 715845, "principal_investigator": { "id": 24388, "first_name": "Matthew", "last_name": "Eisenberg", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 344, "ror": "https://ror.org/00za53h95", "name": "Johns Hopkins University", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 24389, "first_name": "Emma Elizabeth", "last_name": "McGinty", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 344, "ror": "https://ror.org/00za53h95", "name": "Johns Hopkins University", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "Public health disasters and the drug addiction and overdose epidemic are among the foremost public health issues facing the United States. Disaster-related disruptions to drug addiction treatment and overdose prevention services can be life-threatening to people with drug addiction. Public policies form the backbone of disaster response by delineating what health systems can and cannot do in the midst and aftermath of disasters. There are several types of state health service delivery policies with the potential to enhance access to drug addiction treatment and prevent overdose during disasters e.g., state telehealth policies allowing addiction treatment services to be delivered by phone, as opposed to video conference (a policy that may benefit people with drug addiction who lack computer and/or high-speed internet access); state harm reduction policies loosening restrictions on naloxone distribution during disasters; and state policies waiving in-person methadone dosing requirements and allowing individuals with opioid use disorder to take home a 14-28 days' supply. The implementation and effects of these policies on addiction treatment and overdose in the disaster context have not been studied; we will fill this gap by studying these policies in the context of the COVID-19 pandemic. We propose a mixed-methods study using a concurrent-embedded design. In Aims 1-2, we will conduct a 50-state study using a difference-in-differences approach to examine the effects of the state health services delivery policies of interest on rates of drug addiction treatment and fatal and non-fatal drug overdose. Data sources for Aims 1-2 will include 50-state administrative databases capturing services delivered in the general medical sector (IQVIA LRx/Dx and United Healthcare) and specialty addiction treatment sector (TEDS), as well as CDC fatal drug overdose data. In Aim 3, we will conduct in-depth qualitative case studies of eight US states hard-hit by COVID-19, with embedded case studies of local public health and healthcare systems in urban and rural counties within those states. A strength of the proposed study is its use of a concurrent embedded mixed-methods strategy, where qualitative case studies (Aim 3) will answer questions not addressed by the primary quantitative method (Aims 1-2). Our study will yield actionable evidence to inform policy development and implementation to enhance continuity to addiction treatment and prevent drug overdose during future disasters.", "keywords": [ "American", "Behavioral", "COVID-19", "COVID-19 pandemic", "Case Study", "Centers for Disease Control and Prevention (U.S.)", "Characteristics", "Computers", "Counseling", "Data", "Data Sources", "Disasters", "Dose", "Drug Addiction", "Drug usage", "Epidemic", "Event", "Face", "Future", "Geographic state", "Harm Reduction", "Health Services", "Health Services Accessibility", "Health system", "Healthcare", "Healthcare Systems", "Home", "Individual", "Internet", "Interruption", "Interview", "Knowledge", "Lead", "Legal", "Life", "Medical", "Methadone", "Methods", "Naloxone", "Overdose", "Perception", "Persons", "Pharmaceutical Preparations", "Pharmacotherapy", "Policies", "Policy Developments", "Public Health", "Public Policy", "Relapse", "Risk Factors", "Services", "Source", "Speed", "Substance Use Disorder", "System", "Telephone", "Time", "United States", "Vertebral column", "Videoconferencing", "addiction", "administrative database", "aged", "authority", "climate change", "design", "health care delivery", "implementation outcomes", "insight", "interest", "medical specialties", "non-drug", "opioid use disorder", "overdose prevention", "overdose risk", "pandemic disease", "prevent", "prevention service", "psychologic", "response", "rural counties", "social", "stressor", "telehealth", "treatment services" ], "approved": true } }, { "type": "Grant", "id": "8618", "attributes": { "award_id": "1R01DA053232-01A1", "title": "Studying How State and Local Health Services Delivery Policies can Mitigate the Effects of Disasters on Drug Addiction Treatment and Overdose: A Mixed-Methods Study of COVID-19.", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Drug Abuse (NIDA)" ], "program_reference_codes": [], "program_officials": [ { "id": 22314, "first_name": "Lori", "last_name": "Ducharme", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-08-01", "end_date": "2025-05-31", "award_amount": 736292, "principal_investigator": { "id": 24388, "first_name": "Matthew", "last_name": "Eisenberg", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 344, "ror": "https://ror.org/00za53h95", "name": "Johns Hopkins University", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 24389, "first_name": "Emma Elizabeth", "last_name": "McGinty", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 344, "ror": "https://ror.org/00za53h95", "name": "Johns Hopkins University", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "Public health disasters and the drug addiction and overdose epidemic are among the foremost public health issues facing the United States. Disaster-related disruptions to drug addiction treatment and overdose prevention services can be life-threatening to people with drug addiction. Public policies form the backbone of disaster response by delineating what health systems can and cannot do in the midst and aftermath of disasters. There are several types of state health service delivery policies with the potential to enhance access to drug addiction treatment and prevent overdose during disasters e.g., state telehealth policies allowing addiction treatment services to be delivered by phone, as opposed to video conference (a policy that may benefit people with drug addiction who lack computer and/or high-speed internet access); state harm reduction policies loosening restrictions on naloxone distribution during disasters; and state policies waiving in-person methadone dosing requirements and allowing individuals with opioid use disorder to take home a 14-28 days' supply. The implementation and effects of these policies on addiction treatment and overdose in the disaster context have not been studied; we will fill this gap by studying these policies in the context of the COVID-19 pandemic. We propose a mixed-methods study using a concurrent-embedded design. In Aims 1-2, we will conduct a 50-state study using a difference-in-differences approach to examine the effects of the state health services delivery policies of interest on rates of drug addiction treatment and fatal and non-fatal drug overdose. Data sources for Aims 1-2 will include 50-state administrative databases capturing services delivered in the general medical sector (IQVIA LRx/Dx and United Healthcare) and specialty addiction treatment sector (TEDS), as well as CDC fatal drug overdose data. In Aim 3, we will conduct in-depth qualitative case studies of eight US states hard-hit by COVID-19, with embedded case studies of local public health and healthcare systems in urban and rural counties within those states. A strength of the proposed study is its use of a concurrent embedded mixed-methods strategy, where qualitative case studies (Aim 3) will answer questions not addressed by the primary quantitative method (Aims 1-2). Our study will yield actionable evidence to inform policy development and implementation to enhance continuity to addiction treatment and prevent drug overdose during future disasters.", "keywords": [ "American", "Behavioral", "COVID-19", "COVID-19 pandemic", "Case Study", "Centers for Disease Control and Prevention (U.S.)", "Characteristics", "Computers", "Counseling", "Data", "Data Sources", "Disasters", "Dose", "Drug Addiction", "Drug usage", "Epidemic", "Event", "Face", "Future", "Geographic state", "Harm Reduction", "Health Services", "Health Services Accessibility", "Health system", "Healthcare", "Healthcare Systems", "Home", "Individual", "Internet", "Interruption", "Interview", "Knowledge", "Lead", "Legal", "Life", "Medical", "Methadone", "Methods", "Naloxone", "Overdose", "Perception", "Persons", "Pharmaceutical Preparations", "Pharmacotherapy", "Policies", "Policy Developments", "Public Health", "Public Policy", "Relapse", "Risk Factors", "Services", "Source", "Speed", "Substance Use Disorder", "System", "Telephone", "Time", "United States", "Vertebral column", "Videoconferencing", "addiction", "administrative database", "aged", "authority", "climate change", "design", "health care delivery", "implementation outcomes", "insight", "interest", "medical specialties", "non-drug", "opioid use disorder", "overdose prevention", "overdose risk", "pandemic disease", "prevent", "prevention service", "psychologic", "response", "rural counties", "social", "stressor", "telehealth", "treatment services" ], "approved": true } } ], "meta": { "pagination": { "page": 1391, "pages": 1424, "count": 14236 } } }