Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=5&sort=-program_reference_codes
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-program_reference_codes", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1442&sort=-program_reference_codes", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=6&sort=-program_reference_codes", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=4&sort=-program_reference_codes" }, "data": [ { "type": "Grant", "id": "2090", "attributes": { "award_id": "2033488", "title": "RAPID: Reimagined Virtual STEM Laboratory Experiences in Response to COVID-19 Pandemic Impacts on Undergraduate Education", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Education and Human Resources (EHR)" ], "program_reference_codes": [ "097Z", "7914", "8209", "9178" ], "program_officials": [ { "id": 5619, "first_name": "Michael", "last_name": "Davis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-07-01", "end_date": "2022-06-30", "award_amount": 197870, "principal_investigator": { "id": 5621, "first_name": "Frank A", "last_name": "Gomez", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 719, "ror": "", "name": "California State University Channel Islands", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 5620, "first_name": "David B", "last_name": "Gillespie", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 719, "ror": "", "name": "California State University Channel Islands", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "With support from the Improving Undergraduate STEM Education: Hispanic-Serving Institutions (HSI Program), this RAPID project will address critical instructional challenges in undergraduate STEM education that result from the COVID-19 pandemic. Specifically, it will produce and deploy virtual labs in upper-division chemistry, physics, and math courses. The rush to online course delivery in response to COVID-19 has revealed limitations of commercially available online virtual labs. Existing virtual lab experiences are generally poorly focused on student exploration. In addition, the effectiveness of virtual lab activities is not well understood, particularly for specific student populations such as Hispanic/Latinx students. To address these opportunities, the California State University system will design three virtual labs that focus on community building, are culturally responsive, and relate to real life events brought about by the pandemic. The project will also study the effectiveness of these virtual labs, thus adding to the body of knowledge about effective online instruction. The creation and delivery of the proposed labs have the potential to positively affect many students, as well as increase equitable access to high-quality learning opportunities. Beyond its immediate impact on improving online laboratory instruction in a time of crisis, this work may provide models for other STEM education initiatives and contribute to institutional and educational changes to better support STEM learning.The project aims to develop and test three virtual labs that are purposely designed to create and sustain a culture of inclusion and equity that supports the success of all students, particularly the large population of Hispanic/Latinx students served within the California State University system. The project seeks to increase opportunity and achievement by providing students with avenues to grow STEM identity, self-efficacy, and sense of belonging. The design criteria for the three virtual labs will be informed by culturally responsive and trauma-informed teaching practices. The virtual labs will support instruction across the California State University campuses and beyond, beginning as early as Fall 2020. The overall goal is to directly improve students’ knowledge and ability, STEM identity, and integration of identities. The project plans to examine disciplinary best practices in student learning through an informed equity perspective. The project will investigate how to best implement culturally responsive and relevant teaching in virtual science and math laboratory environments and gather and analyze data about the shift to online teaching/learning modalities. Data will be collected every three months from students participating in the virtual labs via pre/post assessments to provide insight into the role of metacognition in their learning. Results of the research will be disseminated through peer-reviewed scholarship, virtual and face-to-face workshops, and reports. This RAPID award is made by the Hispanic-Serving Institutions Program in the Division of Undergraduate Education, Directorate of Education and Human Resources. The HSI Program aims to enhance undergraduate STEM education and build capacity at HSIs.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "2204", "attributes": { "award_id": "2032147", "title": "RAPID:Investigating the Impact of COVID-19 on the Future of the U.S. STEM Workforce", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Education and Human Resources (EHR)" ], "program_reference_codes": [ "097Z", "7914", "8055" ], "program_officials": [ { "id": 5966, "first_name": "Earnestine", "last_name": "Psalmonds", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-08-01", "end_date": "2022-07-31", "award_amount": 199132, "principal_investigator": { "id": 5968, "first_name": "Gerald R", "last_name": "Marschke", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [ { "id": 407, "ror": "", "name": "National Bureau of Economic Research Inc", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 5967, "first_name": "Andrew J", "last_name": "Wang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 407, "ror": "", "name": "National Bureau of Economic Research Inc", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "This RAPID project addresses the need to maintain resilience in the STEM workforce during a pandemic. The researchers aim to assess which STEM jobs in which industries are more or less able to telework in the near term during the COVID-19 pandemic. The project also will examine the distribution of STEM occupations and wages within firms and compare across industries to gain insight into how disruptive COVID-19 will be at the workplace level. The research team will use large-scale population data, linked employee-employer data, and business establishment and firm microdata to model the 2008-2009 Great Recession and subsequent recovery and estimate the likely effects of COVID-19 recession on STEM workers and the STEM labor market. The research will provide policymakers with information and estimates that can shape policies to ameliorate the effects of the COVID-19 pandemic on the STEM workforce. The research goals are to (1) measure how much of the STEM workforce is able to continue work in which occupations and industries during the COVID-19 pandemic, (2) model the likely effect of the COVID-19 work disruption and economic recession on STEM workers and the STEM labor market, and (3) inform policies that can ameliorate the effects of pandemics on STEM workers. The research team will merge Occupation Information Network (O*NET) and American Community Survey (ACS) data to assess which STEM workers are potentially able to continue work during the COVID-19 pandemic and to what extent. To estimate the likely effects of COVID-19 recession and recovery on STEM workers, the team will construct a longitudinal dataset of workers and firms and augment the data with occupations that can support telework. The researchers will use the experience of the 2008-2009 Great Recession and subsequent recovery to evaluate the wider economic recession effects of COVID-19 to document factors that mitigate or exacerbate effects of recession on STEM employment. The research results can help guide policies that support telework and other changes in the structure of work and workplaces to enhance future workforce resilience. The project responds to the COVID-19 pandemic. It is supported by the ECR: Building Capacity in STEM Education Research competition of the EHR Core Research Program (ECR) that funds fundamental research focused on STEM learning sand learning environments, broadening participation in STEM fields, and STEM professional workforce development.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "1424", "attributes": { "award_id": "2030129", "title": "RAPID: National Drosophila Species Stock Center Covid-19 Relief and Recovery", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)" ], "program_reference_codes": [ "097Z", "1106", "1197", "7914" ], "program_officials": [ { "id": 3685, "first_name": "Reed", "last_name": "Beaman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-06-15", "end_date": "2021-05-31", "award_amount": 198710, "principal_investigator": { "id": 3686, "first_name": "Patrick M", "last_name": "O'Grady", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 279, "ror": "https://ror.org/05bnh6r87", "name": "Cornell University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 279, "ror": "https://ror.org/05bnh6r87", "name": "Cornell University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "This award to Cornell University will provide RAPID funding to mitigate the impact of the COVID-19 on the Drosophila Species Stock Center (DSSC). The DSSC maintains a collection of ca. 1400 living stocks representing nearly 300 species of Drosophila, a genus of about 1500 described species. The DSSC is an internationally recognized collection and serves as a resource to address questions on questions in evolution, ecology, developmental biology, physiology, neurobiology, comparative genomics, and immunology. The DSSC also provides technical expertise to a broader community in the areas of husbandry, natural history, systematics, evolution, and ecology of Drosophila. The DSSC provides living stocks for a large number of Drosophila species as reagents for research programs around the globe. The DSSC also maintains over 60 Drosophila species that have had their whole genomes sequenced, increasing the value of these stocks for research. The number of strains maintained at the DSSC reflects factors such as close phylogenetic relationship to species with sequenced genomes, the presence of genetically marked or transgenic stocks, and the availability of stocks from a geographic diversity of sources. In addition to the maintenance and sale of living stocks, the center provides an annual Drosophila Species Identification Workshop in which participants learn the basics of Drosophila identification, biology, and culture requirements. Through this award, the DSSC can mitigate a temporary decline in research demand and continue to serve as an important research resource.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "1532", "attributes": { "award_id": "2032663", "title": "RAPID: Folding@home and COVID-19", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)" ], "program_reference_codes": [ "096Z", "9150" ], "program_officials": [ { "id": 3997, "first_name": "Steven", "last_name": "Ellis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-05-15", "end_date": "2021-04-30", "award_amount": 200000, "principal_investigator": { "id": 3998, "first_name": "Gregory R", "last_name": "Bowman", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "['Protein structure and dynamics']", "approved": true, "websites": "['https://foldingathome.org/', 'https://bowmanlab.biochem.wustl.edu/', 'https://osf.io/fs2yv/', 'https://registry.opendata.aws/foldingathome-covid19/']", "desired_collaboration": "", "comments": "", "affiliations": [ { "id": 232, "ror": "https://ror.org/00b30xv10", "name": "University of Pennsylvania", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 304, "ror": "", "name": "Washington University", "address": "", "city": "", "state": "MO", "zip": "", "country": "United States", "approved": true }, "abstract": "The SARS-CoV-2 virus uses numerous proteins to infect human cells, evade an immune response, and replicate itself. These proteins have moving parts that are essential to their function. Understanding the way the proteins move and change conformation will provide novel insights into viral biology and could potentially reveal new therapeutic opportunities. Researchers supported by this award are simulating the SARS-COV-2 proteins using the Folding@home distributed computer, which pools the computational resources of volunteer citizen scientists across the globe to run simulations on their personal computers. As a result of huge public interest and very productive interactions with major technology corporations, the Folding@home network now provides access to over 23 million CPU cores and 600,000 GPUs, making the network roughly 10-times more powerful than the world’s fastest traditional supercomputer. Support from this award will provide much needed upgrades to the cyberinfrastructure required to effectively harness this unprecedented computational resource and engage productively with the millions of people now participating in the effort to better understand SARS-COV-2. Results of the research effort will be published in peer-reviewed journals, presented at scientific meetings, and distributed broadly by social media and popular press.Folding@home is one of the largest and most successful distributed computing projects in the world. Current research efforts on the SARS-COV-2 include a dynamic analysis of every viral protein and free energy perturbation modeling of more than 50,000 small molecule interactions to identify possible starting points for therapeutics. Searching for cryptic binding sites is a major focus of the effort and early results are promising. With support from this award, improvements in the Folding@home TCP/IP stack, work collection servers, and back-end analysis servers will be conducted to increase the utilization efficiency of distributed computing resources. The additional capacity will also enable support for more projects with basic biological research relevance. This RAPID award to Washington University in Saint Louis is made by the Division of Biological Infrastructure using funds from the Coronavirus Aid, Relief, and Economic Security (CARES) Act.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "1276", "attributes": { "award_id": "2039369", "title": "RAPID Excellence in Research: The development of ultrasensitive, multiplexed DNA/RNA detection platform using printed nanocomposite biosensors", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)" ], "program_reference_codes": [ "096Z", "9150" ], "program_officials": [ { "id": 3285, "first_name": "Steven", "last_name": "Ellis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-08-01", "end_date": "2022-07-31", "award_amount": 199993, "principal_investigator": { "id": 3286, "first_name": "Honghe", "last_name": "Wang", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 569, "ror": "https://ror.org/0137n4m74", "name": "Tuskegee University", "address": "", "city": "", "state": "AL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 569, "ror": "https://ror.org/0137n4m74", "name": "Tuskegee University", "address": "", "city": "", "state": "AL", "zip": "", "country": "United States", "approved": true }, "abstract": "The COVID-19 pandemic presents a serious public health crisis to the United States and to the world at large. One critical need is for improved and simplified methods to detect the SARS-COV-2 virus. Many of the available tests lack specificity, take several hours to complete, and require centralized high-complexity laboratory equipment. Researchers supported by this award will develop and test a novel system for electrochemical detection of viral RNA sequences without the need for complex laboratory procedures. The work will be led by investigators at Tuskegee University, working in collaboration with Auburn University researchers. In addition to the potential societal benefit accrued from improved SARS-COV-2 testing, the undergraduate and graduate student training conducted as part of the project will help to advance and broaden the participation of students from HBCUs. Electrochemical nanocomposite biosensors are powerful tools for the detection of biomarkers and environmental hazards. DNA or RNA fragments found in clinical samples typically fall below the detection limits of most methods of unamplified DNA/RNA detection. The research supported by this award will test the utility of simple nanocomposite sensor detecting DNA/RNA directly from unamplified samples. This technology offers an unprecedented simultaneous and multiplexed detection of different pathogen sequences in a high-throughput format with electrical readout. The simplified approach has the potential to dramatically reduce sample turnaround time due to their label free character and high sensitivity with a disposable “sensor strip.” Results from these studies will be disseminated through publication in peer-reviewed journals, presentations at scientific meetings, and potentially through commercialization of the resulting technology. This RAPID award to Tuskegee University is made by the Division of Biological Infrastructure and is also supported by the NSF HBCU Excellence in Research Program.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "2091", "attributes": { "award_id": "2033389", "title": "RAPID: Student and Instructor Perceptions, Attitudes, and Emotions Surrounding Online Spaces and Institutional Supports during a Pandemic (COVID-19)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Education and Human Resources (EHR)" ], "program_reference_codes": [ "096Z", "8212", "7914", "8817" ], "program_officials": [ { "id": 5622, "first_name": "Michael", "last_name": "Davis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-06-01", "end_date": "2022-05-31", "award_amount": 200000, "principal_investigator": { "id": 5625, "first_name": "Monica K", "last_name": "Smith", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 438, "ror": "https://ror.org/03m2x1q45", "name": "University of Arizona", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 5623, "first_name": "Marla", "last_name": "Franco", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 5624, "first_name": "Elizabeth J", "last_name": "Pope", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 438, "ror": "https://ror.org/03m2x1q45", "name": "University of Arizona", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "The Improving Undergraduate STEM Education: Hispanic-Serving Institutions Program (HSI Program) supports RAPID projects when there is severe urgency with regard to availability of, or access to, data, facilities or specialized equipment, including quick-response research on natural or anthropogenic disasters and similar unanticipated events, such as the COVID-19 pandemic. This project aims to explore challenges faced by students and instructors at HSIs after moving to online formats during COVID-19. Longitudinal surveys and interviews seek to reveal how students and instructors cope with courses moving online, and how course experiences are impacted by this move. The study also aims to identify the resources and supports that are most helpful to students and instructors and to catalog resources that are still needed. The research will include examination of how findings differ for students and instructors from underrepresented and underserved communities (i.e., Latinx and Native American). Data collected will contribute knowledge regarding attitudes and coping processes during crises. Results seek to inform best practices for HSIs during recovery from this pandemic.Low perceived control over outcomes and fear of performing worse than peers affect coping skills and attitudes among undergraduates. College and minority stress, likely augmented by this pandemic, exacerbate depression, in turn reducing persistence. Moreover, resources necessary for success (e.g., internet) are not always accessible to underserved communities. One-hour online surveys and 1.5-hour semi-structured interviews will be conducted across Arizona HSIs in May-June, August-September, and October-November 2020. Surveys will include rating scales (e.g., sense of belonging). Interviews, oversampling from underrepresented populations, will include think aloud protocols and questions about resources and course experiences. This mixed methods project will contribute knowledge of attitudinal and emotional processes and reactions to institutional supports. Identified institutional and instructional practices will inform recovery from this pandemic. Preliminary results will be shared with HSIs and the broader community via the NSF HSI Hub, brief reports, webinars, and a project website. The HSI Program aims to enhance undergraduate STEM education and build capacity at HSIs. Projects supported by the HSI Program will also generate new knowledge on how to achieve these aims.This RAPID award is made by the HSI Program in the Division of Human Resource Development, Directorate of Education and Human Resources, using funds from the Coronavirus Aid, Relief, and Economic Security (CARES) Act.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "1996", "attributes": { "award_id": "2029745", "title": "SBIR Phase I: Development and assessment of a diagnostic platform for rapid identification of COVID-19 patients without using custom reagents", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [ "096Z", "8038" ], "program_officials": [ { "id": 5334, "first_name": "Henry", "last_name": "Ahn", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-07-01", "end_date": "2020-12-31", "award_amount": 256000, "principal_investigator": { "id": 5335, "first_name": "Rajesh", "last_name": "Krishnamurthy", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 712, "ror": "", "name": "3I Diagnostics, Inc.", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 712, "ror": "", "name": "3I Diagnostics, Inc.", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to deploy a diagnostic to rapidly and inexpensively detect COVID-19 infections. Beyond the short-term goal of identifying COVID-19 patients, the technology will lend strong support for real-time infection tracking nationally. The same hardware components of the diagnostic can be used to identify a wide variety of pathogens without custom reagents. The system will work with a cloud-based database and monitoring system to rapidly identify hotspots of increased pathogen activity, enabling faster response to new pathogens since no hardware-related development, manufacturing, and distribution are needed. Once a new pathogen’s fingerprint is obtained, it can be easily distributed to deployed instruments to enable immediately tracking of the new pathogen. This Small Business Innovation Research (SBIR) Phase I project aims to develop a rapid diagnostic capable of detecting SARS-nCoV2 directly from sample matrices without the use of custom reagents (like DNA) or a cold supply chain. The approach isolates intact virus directly from the specimen with the help of a disposable cartridge and a syringe pump. The isolated virus is then identified using Fourier-Transform Infrared Spectrometry (FTIR). The proposed work leverages the differential response to mechanical stress between the virus and the components of a sample matrix. This differential response is used to selectively lyse only the sample matrix components, not the virus. The debris is subsequently separated from the virus by size-based separation methods such as filtration, enabling rapid isolation of a broad range of pathogens directly from the sample. FTIR is used to identify the isolated virus since pathogens exhibit unique spectral fingerprints in the infrared region. The proposed Phase I effort will develop the protocol for isolating and identifying intact virus and will demonstrate the performance with nasopharyngeal swab samples. The results will be compared against results from RT-PCR methods to assess comparability.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "1245", "attributes": { "award_id": "2028187", "title": "SBIR Phase I: HaloFilm as a virucide against COVID-19 infection", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [ "096Z", "8038" ], "program_officials": [ { "id": 3202, "first_name": "Erik", "last_name": "Pierstorff", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-06-01", "end_date": "2021-02-28", "award_amount": 256000, "principal_investigator": { "id": 3203, "first_name": "Mingyu", "last_name": "Qiao", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 544, "ror": "", "name": "HALOMINE INC.", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact of this Small Business Innovation Research (SBIR) Phase I project is to develop an antiviral surface coating with unique application and efficacy features. Evidence suggests that the COVID-19 virus strain can remain live on stainless steel and plastic for as long as three days, a potentially harmful situation in environments with high traffic, such as subway turnstiles, buses, and high-touch surfaces in hospitals. Furthermore, even in hospitals, cleaning and disinfecting can be insufficiently comprehensive than desired, with surfaces that may easily be recontaminated until disinfectants are reapplied. The proposed technology enables chlorine-based disinfectants to be effective for as long as 4 weeks. The coating keeps chlorine in a physical and chemical state that is active against viruses, but remains safe and does not cause skin irritation upon contact. The coating can turn any surface into an antimicrobial, and antiviral, surface. The proposed SBIR Phase I project will assess the utility, efficacy and safety of a spray-on surface coating that is rechargeable and can be reapplied, such that it can be used as an antimicrobial surface coating, particularly to prevent transmission of coronaviruses. The state-of-the-art is to regularly use liquid spray disinfectants to kill viruses on surfaces. However, typical active ingredients, such as chlorine, quaternary ammonium compounds, alcohol, peracetic acid or hydrogen peroxide, are active against viruses for a matter of minutes and certainly less than an hour, leaving a surface that can potentially be recontaminated. The technical aims of the proposal focus on 1) assessing the virucidal activities of the coating at specific times after application; 2) determining the half-life of coronaviruses on the coating for comparison to other materials.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "1246", "attributes": { "award_id": "2027985", "title": "SBIR Phase I: Large Scale Production of Antiviral Interferons for the Treatment of COVID-19", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [ "096Z", "8038" ], "program_officials": [ { "id": 3204, "first_name": "Erik", "last_name": "Pierstorff", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-06-01", "end_date": "2021-08-31", "award_amount": 256000, "principal_investigator": { "id": 3205, "first_name": "Ryan W", "last_name": "Shepherd", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 564, "ror": "", "name": "PhylloTech Inc.", "address": "", "city": "", "state": "WI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 564, "ror": "", "name": "PhylloTech Inc.", "address": "", "city": "", "state": "WI", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will be to advance the development of production for COVID-19 treatments. The COVID-19 pandemic is placing great strain on the supply chain for protein and antibody therapeutics and research products. Interferons represent a specific class of protein released in response to viral infections; they are currently being tested as important therapies to combat COVID-19 infections and to regulate the immune system. This project will develop a new system to produce and purify interferons using a new platform based on a plant system. No plant system has been utilized commercially to produce human interferons, due to product loss during purification from plant tissue. This system overcomes this challenge by secreting the proteins to leaf surfaces where they will easily be recovered. The rapid scalability of this plant-based system can allow fast production of COVID-19 therapeutics at high levels and lower cost than current protein expression systems. The proposed Phase I project will develop a photosynthetic platform for the production of COVID-19 therapeutics, as current production strategies are expensive to scale and limited in production capacity. Plants will be generated that produce and secrete interferons for the purposes of large-scale production. Further research efforts will be performed to determine if newly-identified trichome-specific promoters, intron-mediated expression elements, and unique protein secretion signals that are cleaved during protein maturation can optimize and enhance the system for interferon production. Plant-made interferons will be tested for activity and compared against interferons generated in other biomanufacturing systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "1683", "attributes": { "award_id": "2014753", "title": "STTR Phase I: Development and Commercialization of the SafeLight Family of Antimicrobial Materials for Combatting the COVID-19 Pandemic and Hospital Acquired Infections", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [ "096Z", "8038" ], "program_officials": [ { "id": 4409, "first_name": "Erik", "last_name": "Pierstorff", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-06-01", "end_date": "2021-12-31", "award_amount": 225000, "principal_investigator": { "id": 4411, "first_name": "Robert J", "last_name": "Sheehan", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 654, "ror": "", "name": "PHOTOCIDE PROTECTION, INC.", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 4410, "first_name": "Reza A", "last_name": "Ghiladi", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 654, "ror": "", "name": "PHOTOCIDE PROTECTION, INC.", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact of this Small Business Technology Transfer (STTR) Phase I project is the development of new antimicrobial materials to reduce the spread of harmful bacteria and viruses in a variety of settings, particularly for self-disinfecting personal protection equipment against SARS-CoV-2 to combat the COVID-19 pandemic. While primarily intended for use in hospitals, these antimicrobial materials can also impact bio-defense; military facilities; food processing, packaging, and service industries; wastewater treatment facilities; daycare and long-term care facilities; and even personal households. Beyond the current pandemic, this technology can address hospital-acquired infections, which add an estimated $30-45 billion to health care costs every year; and the food service industry, where norovirus foodborne infections alone account for an economic loss of about $5.8 B annually in the United States. The proposed technology offers significant benefit for the current COVID-19 challenge and beyond. The proposed project will develop light-activated surface-disinfecting materials based on photodynamic inactivation that generates singlet oxygen – a highly reactive yet environmentally benign species – to cause non-specific damage to microbes, rendering them inactive. The technical challenges are: 1) the development of chemical species capable of producing singlet oxygen upon exposure to light, but stable at the high temperatures of manufacturing processes, for which we will start with a known class of compounds; 2) the development of a method for the production and embedding of the newly-developed photoreactive compounds within relevant materials, particularly for the manufacture of personal protection equipment; and 3) evaluation of process efficacy for virucidal (against coronaviruses), antibacterial, antimycotic and sporicidal use.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 5, "pages": 1442, "count": 14420 } } }