Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1391&sort=-id
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-id", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=-id", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1392&sort=-id", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1390&sort=-id" }, "data": [ { "type": "Grant", "id": "663", "attributes": { "award_id": "2036316", "title": "SBIR Phase I: Ultra-High Throughput COVID-19 Serology Test Using a Novel Biomarker Multiplexing System", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)" ], "program_reference_codes": [], "program_officials": [ { "id": 1515, "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": "2020-12-15", "end_date": "2022-05-31", "award_amount": 255851, "principal_investigator": { "id": 1516, "first_name": "Casey D", "last_name": "Wright", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 351, "ror": "", "name": "Inanovate, Inc.", "address": "", "city": "", "state": "SD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 351, "ror": "", "name": "Inanovate, Inc.", "address": "", "city": "", "state": "SD", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to create a rapid, inexpensive, and ultra-high throughput test to screen patients for antibodies against the SARS-CoV-2 virus that causes COVID-19. The proposed test will facilitate population-wide screening for prior exposure, giving epidemiologists and policy-makers insight into the virus's spread and the frequency of asymptomatic cases. Individuals will understand their levels of risk (e.g., someone with strong immunity may be protected from re-infection in the near-term) to make informed decisions. The proposed technology will be a quantitative test, which may allow immunity level to be correlated with disease severity or other parameters. The proposed test can be adapted easily to query multiple antigens simultaneously to address more complex medical assessments. Beyond the current pandemic, this flexible technology will be useful for exposure testing for diverse pathogens and immunogens in applications ranging from epidemiology to vaccine development.This Small Business Innovation Research (SBIR) Phase I project explores a novel method for ultra-high throughput serology testing. Briefly, high density arrays of patient samples will be queried with fluorescently labeled COVID-19 antigens to identify patients with antibodies against the SARS-CoV-2 virus. For the proposed project: Sample preparation and arraying (printing) techniques and workflows will be optimized. Assay probes (Covid-19 antigens) and conditions will be optimized using spiked samples and commercially purchased sera from patients, purchased commercially and deidentified. The assay's sensitivity and specificity will be measured using anti-COVID (50 samples) and non-reactive (100 samples) sera. Finally, given that the SARS-CoV-2 virus is related to other coronaviruses––some of which regularly circulate in humans, the potential for assay probes to cross-react with antibodies raised against previous (i.e., non-COVID) infections will be determined. The results of the proposed work will provide proof-of-concept for massively parallel, population-level serology screening.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": "662", "attributes": { "award_id": "2033314", "title": "SBIR Phase I:Automatic Touch Screen Disinfection (COVID-19)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)" ], "program_reference_codes": [], "program_officials": [ { "id": 1513, "first_name": "Anna", "last_name": "Brady", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-01-01", "end_date": "2021-12-31", "award_amount": 255730, "principal_investigator": { "id": 1514, "first_name": "Boris", "last_name": "Kobrin", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 350, "ror": "", "name": "Innovasonic", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 350, "ror": "", "name": "Innovasonic", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I is to equip any personal and public touch screen displays with self-disinfection capabilities. Touch-screen technology is an integral part of everyday life in applications such as personal smartphones, industrial and medical equipment, and public touch screen stations. These screens are convenient but become a hotspot for harmful germs and bacteria. The use of touch screens could mitigate the social distancing policies of the COVID-19 pandemic. This project will develop an ultrasonic disinfection method to mitigate the spread of pathogens across such surfaces. A wide array of applications could follow including: banks (ATMs), retail (groceries POS stations, vending machines, restaurant order stations), transportation (self-check kiosks, border control stations, plane’s infotainment systems, automotive dashboards), medical equipment, government buildings, museums and tourist attractions, art and entertainment (interactive kiosks), and consumer electronics (smartphones, smartwatches, tablets, laptops, touch screen equipped appliances). Primary benefits of the methods would include speed and ability to disinfect with high frequency, elimination of need for manual labor to disinfect by this method, and expected safety to the user.This SBIR Phase I project will demonstrate the efficiency of ultrasonic disinfection process using discrete piezoelectric transducers. Because these elements are not transparent, they could be integrated with touch screen only by attachment at the periphery of the display glass. This configuration will allow a basic feasibility study for a proposed disinfection method. The project will use a novel thin film piezoelectric technology where transducers are fabricated across an entire display glass surface using thin film deposition and patterning method. This configuration is beneficial since it would not require additional device area or thickness beyond the current display glass product dimensions. Moreover, this design is not limited to small display form-factors and could be scaled to a larger display size. A thin film piezoelectric system is energy efficient in operation. The disinfection process will be characterized at wide ranges of ultrasonic frequencies and powers, and illustrated for coronavirus (SARS-CoV-2) and bacterium (E. coli).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": "661", "attributes": { "award_id": "2030347", "title": "STTR Phase I: Microbial Discovery and Biosynthesis of Targeted Protease Inhibitors (COVID-19)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)" ], "program_reference_codes": [], "program_officials": [ { "id": 1510, "first_name": "Kaitlin", "last_name": "Bratlie", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-12-15", "end_date": "2022-04-30", "award_amount": 255937, "principal_investigator": { "id": 1512, "first_name": "Levi D", "last_name": "Kramer", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 349, "ror": "", "name": "THINK BIOSCIENCE, INC.", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 1511, "first_name": "Joel L", "last_name": "Kaar", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 349, "ror": "", "name": "THINK BIOSCIENCE, INC.", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase 1 project is to develop new lead compounds for treating COVID-19 by using microbial systems. The microbial assembly approach, which enables rapid, fermentation-based scale-up of therapeutic candidates for pre-clinical studies and early human trials, could accelerate the pace and reduce the cost of therapeutic development. Broad-spectrum therapeutics for COVID-19 could shorten hospital stays, reduce disease-associated mortality and morbidity, and help combat future coronavirus diseases. This Small Business Technology Transfer (STTR) Phase 1 project will use engineered microbial systems to identify and build antivirals for treating COVID-19. The approach departs from contemporary efforts to use microbial systems for the production of known, pharmaceutically relevant molecules by using them for the identification, evolution, and biosynthesis of new (or previously uncharacterized) biologically active agents. The research exploits contemporary approaches to synthetic biology to develop a microbial strain that detects inhibitors of enzymes needed for viral infection by SARS-CoV-2, and it will use that strain to (i) screen a library of late-stage pharmaceutical compounds for therapeutic candidates and (ii) build natural products that inhibit those enzymes. If successful, it will yield a set of therapeutic candidates for treating COVID-19 and a simple, easily shared microbial platform for screening compound libraries for targeted antivirals.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": "660", "attributes": { "award_id": "2032392", "title": "STTR Phase I: Designer peptide opsonins against COVID-19", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)" ], "program_reference_codes": [], "program_officials": [ { "id": 1507, "first_name": "Kaitlin", "last_name": "Bratlie", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-12-15", "end_date": "2022-05-31", "award_amount": 255933, "principal_investigator": { "id": 1509, "first_name": "Corey", "last_name": "Heffernan", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 348, "ror": "", "name": "SAPHTX, INC.", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 1508, "first_name": "Rajesh N", "last_name": "Dave", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 348, "ror": "", "name": "SAPHTX, INC.", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact / commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to develop a new therapeutic for the SARS-CoV-2 virus causing COVID-19. The proposed technology is a novel therapeutic engineered to specifically target the coronavirus and assemble on its surface, disabling the virus’ infectivity. This therapeutic will potentially protect COVID-19 patients with mild to moderate symptoms from worsening and possibly transmitting the virus. The therapy may later benefit asymptomatic or non-infected high-risk groups as well. This Small Business Technology Transfer (STTR) Phase I project will study the nature of supramolecular assembly of self-assembled peptides (SAPs) on the surface of pathogens such as the COVID-19 virus (SARS-CoV-2) and its impact on the impairment and immune recognition of the pathogen. Self-assembled peptides have greater stability than unfunctionalized peptides, yet they are twenty times smaller than antibodies. Therefore, they may combine key benefits of antibodies and small molecules, enabling a new modality designed for rapid and affordable widespread development of urgently needed therapies. Current repurposing efforts are limited by a lack of specificity, while SARS-CoV-2-specific efforts are dominated by antibodies or proteins that are challenging to rapidly manufacture at scale. We will: (1) engineer functionalized anti-COVID-19 SAPs and studying their binding kinetics to the SARS-CoV-2 viral spike protein receptor binding domain (RBD); (2) investigate the in vitro efficacy of anti-COVID-19 SAPs in inhibiting viral infection; and (3) establish the in vitro cytocompatibility and in vivo dose range tolerability of the SAPs.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": "659", "attributes": { "award_id": "2050546", "title": "Trans-Atlantic Research and Development Interchange on Sustainability 2021: Sustainability and Resilience in the Face of Emergent Threats", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [], "program_officials": [ { "id": 1505, "first_name": "Bruce", "last_name": "Hamilton", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-12-01", "end_date": "2023-03-31", "award_amount": 49998, "principal_investigator": { "id": 1506, "first_name": "Urmila M", "last_name": "Diwekar", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 347, "ror": "https://ror.org/00cz1kp86", "name": "Vishwamitra Research Institute", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 347, "ror": "https://ror.org/00cz1kp86", "name": "Vishwamitra Research Institute", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "In the 21st Century, the dominant challenge to humanity is encapsulated in the concept of sustainability. This is at its core an effort to find ways that make it possible for civilization to prosper on Earth now and in the future. By itself, this is a formidable challenge given the 7.8 billion current human population. But this challenge must be met in the face of emergent threats such as the SARS-COV-2 pandemic, wars, climate change, and others. At the local level, these emergent global threats can manifest as major disruption events like floods, droughts, forest fires, high rates of hospitalization and death, and economic distress. Therefore, the theme for TARDIS 21 is \"Sustainability and Resilience in the Face of Emergent Threats.\" To explore this theme and find feasible and actionable pathways to manage it, the following focus questions will be addressed at TARDIS 21: (1) What are the most critical threats facing the World in the 21st Century? (2) Which of these threats are critical challenges to achieving sustainability and promoting resilience locally as well as globally? (3) What may be the most practical and effective ways to mitigate these threats? (4) What is the most practical and useful path to resilience and sustainability in the face of these threats? The workshop will be conducted in October 2021 in Miskolc, Hungary. The composition of the body of participants will be balanced to include representation with respect to discipline (engineering, physics, chemistry, economics, policy, etc.), institutions (academic, government, private sector) and regional and national representation, and (4) minorities and women. The participants will be from both the European and American communities, with the European participants being supported on non-NSF funds. The PI will work with the Technical University of Graz, the University of Miskolc, and the Austrian Federal Ministry of Science to prepare a final report resulting from the workshop. This report will be made available on public websites.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": "658", "attributes": { "award_id": "2036226", "title": "SBIR Phase I: Rapid Development of a Protein Vaccine for COVID-19", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)" ], "program_reference_codes": [], "program_officials": [ { "id": 1503, "first_name": "Kaitlin", "last_name": "Bratlie", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-10-01", "end_date": "2021-11-30", "award_amount": 256000, "principal_investigator": { "id": 1504, "first_name": "Peter M", "last_name": "Leonardi", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 346, "ror": "", "name": "OMNICYTE, LLC", "address": "", "city": "", "state": "CT", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 346, "ror": "", "name": "OMNICYTE, LLC", "address": "", "city": "", "state": "CT", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is the development of a vaccine to prevent infection from the SARS-CoV-2 virus. The proposed project is a novel vaccine that activates multiple components of the immune system, potentially more effective than other SAR-CoV-2 vaccines, and using a well-understood approach as a protein-based vaccine.This SBIR Phase I project will advance a protein vaccine based upon a platform technology combining two functions, activating the immune system and targeting it to attack to a specific pathogen or cell. The platform has a modular design that allows it to be re-engineered, in a cassette-like fashion, to redirect the attack to different targets. Applications for the technology include vaccines against viruses and cells infected by viruses, as well as against specific cancer types. The vaccine can be rapidly generated and easily re-engineered. The focus of this project will be to produce this SARS-CoV-2 targeted protein vaccine utilizing an immune-activating platform with the SARS-CoV-2 spike protein inserted into the targeting domain of the platform. The will be followed by studies to demonstrate the vaccine candidate activity in an in vitro model and an animal model.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": "657", "attributes": { "award_id": "2055193", "title": "Collaborative Research: RAPID: Virtual Conference Platform", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)" ], "program_reference_codes": [], "program_officials": [ { "id": 1501, "first_name": "Sol", "last_name": "Greenspan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-09-01", "end_date": "2021-05-31", "award_amount": 7866, "principal_investigator": { "id": 1502, "first_name": "Jonathan", "last_name": "Bell", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 184, "ror": "https://ror.org/04t5xt781", "name": "Northeastern University", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 184, "ror": "https://ror.org/04t5xt781", "name": "Northeastern University", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "The spread of COVID-19 is forcing physical academic conferences to suddenly move online. Since conferences are critical to the fabric of many scientific and engineering communities, making their online versions as good as they can be -- especially, doing everything we can to replace the unstructured, serendipitous conversations and connections that are the lifeblood of conferences -- is of the utmost importance. But the virtual conferences that have happened so far have not been very successful at replicating this \"hallway discussions.\" The goal of this project is to rapidly develop a Web-based virtual conference platform, dubbed Clowdr, that will support several modalities for synchronous interaction among participants while alleviating the integration problems reported by participants at recent events. In the longer term, Clowdr-based online meetings will become an integral part of the conference ecosystem, supporting efforts to reduce the carbon footprint of scientific research coordination and improve diversity, accessibility, and fairness.The immediate focus for the project is the integration of all the necessary technological pieces for a successful conference in a single, easy-to-use web interface. A first version of this platform will be ready by the end of June 2020, and it will be continually improved until the end of the year based on participant and organizer feedback from a series of conferences. The platform will include areas for watching live talks along with chat and question-and-answer components, an area for watching past live talks with audience awareness, a poster and demo space where participants can join and easily switch, a lobby area where participants can start ad-hoc text and video chats, and other features. The platform will be used later as the basis for research on human-social interactions in conference settings.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": "656", "attributes": { "award_id": "2042834", "title": "A microscale study of turbulent flow in the porous medium and at the porous/fluid interface: combining LES, DNS, and Neural Network approaches", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [], "program_officials": [ { "id": 1499, "first_name": "Ron", "last_name": "Joslin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-01-01", "end_date": "2023-12-31", "award_amount": 320393, "principal_investigator": { "id": 1500, "first_name": "Andrey V", "last_name": "Kuznetsov", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 245, "ror": "https://ror.org/04tj63d06", "name": "North Carolina State University", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 245, "ror": "https://ror.org/04tj63d06", "name": "North Carolina State University", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "The dynamics of microscale turbulence transport in porous media (at the scale smaller than the pore size) is not understood even for simple porous matrix geometries. This understanding requires connecting turbulence transport in porous media to the microscale flow physics. This project will elucidate the flow physics of turbulence inside a porous medium. Preliminary results show that microscale turbulence in porous media constitutes a new physical phenomenon. The scientific outcomes of the project will have significant socio-economic impacts by enabling an improved systemic modeling of porous media flows. Immediate applications include combating COVID-19 through the design of more effective filter layers in masks. There are also long-term applications in energy storage and conversion. The project will also contribute to education and training of students. The investigator plans to engage undergraduate and high school students in the development of computational fluid dynamics code and neural network models. The exposure to lab work and academic research will allow the undergraduate and high school students improve their computational skills and help cultivate their research interests. Finally, the research results will be incorporated into the investigator's graduate class on advanced convection heat transfer.The results from this project are vital for modeling turbulent flow associated with engineering porous media. The flow field will be phase-averaged to obtain the true turbulence statistics decomposed into non-stationary mean and fluctuation components. The proposed research will also combine traditional direct numerical simulation and large-eddy simulation with neural networks to interpret and model the flow physics of microscale turbulence. Neural networks will be used because they are superior to traditional methods for processing the intricate, inhomogeneous structure of the flow field. Supervised classification will be used to visualize 3D turbulent structures which are classified according to their turbulence kinetic energy and anisotropy. A supervised autoencoder will be used to develop the first macroscale model that takes the contribution of the inhomogeneous microscale flow field into consideration. By implementing the proposed methodology with rigorous parameter variation, the observations about the microscale flow physics will lead to understanding the main features of microscale turbulence.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": "655", "attributes": { "award_id": "2037362", "title": "Enhancing Making and Innovation Capacity for HBCU Students and Faculty Via an Inclusive Community of Practice", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Education and Human Resources (EHR)" ], "program_reference_codes": [], "program_officials": [ { "id": 1496, "first_name": "Carleitta", "last_name": "Paige-Anderson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-01-01", "end_date": "2023-12-31", "award_amount": 612981, "principal_investigator": { "id": 1498, "first_name": "Iris", "last_name": "Wagstaff", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 345, "ror": "https://ror.org/05j0w0e76", "name": "American Association For The Advancement of Science", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 1497, "first_name": "Neela", "last_name": "White", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 345, "ror": "https://ror.org/05j0w0e76", "name": "American Association For The Advancement of Science", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true }, "abstract": "The Historically Black Colleges and Universities - Undergraduate Program (HBCU-UP) supports conferences that seek to increase the research capacity of science, technology, engineering, and mathematics (STEM) students and faculty at HBCUs. The American Association for the Advancement of Science (AAAS) will organize two Making & Innovation Showcases to provide students and faculty from HBCUs with an opportunity to implement and present technology prototypes. Furthermore, AAAS will conduct an evaluation research study exploring the impact of maker-related activities on students, faculty, and institutions. The showcases will be held on November 2021 and November 2022 on the campus of Howard University. Each showcase will host sixty participants, with teams comprised of three to five undergraduate or graduate students and one faculty member. In case the global COVID-19 pandemic does not allow in-person meetings at that time, the showcases will be conducted virtually.The overall goal of the project is to conduct research to investigate best practices to enhance making and innovation-related capacity for HBCU students and faculty via an inclusive community of practice. This goal will be accomplished via the following activities: two yearly Making and Innovation Showcases where student teams will develop and present innovations in response to one of the seventeen United Nations Sustainability Development Goals, and participate in professional development sessions; monthly virtual engagement to support participants; e-mentoring and coaching; and development of a toolkit of making and innovation resources for HBCUs. The research questions that guide this project at the faculty and student level are related to faculty professional development, improved teaching strategies, student motivation and STEM identity, and the students’ role in the community of practice. The impact of the activities will be studied using quantitative and qualitative research methods.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": "654", "attributes": { "award_id": "2034983", "title": "Collaborative Research: Effective Face Masks to Mitigate COVID-19 Transmission: Insights from Multimodal Quantitative Analysis", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [], "program_officials": [ { "id": 1494, "first_name": "Ron", "last_name": "Joslin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-11-15", "end_date": "2023-10-31", "award_amount": 335992, "principal_investigator": { "id": 1495, "first_name": "Rajat", "last_name": "Mittal", "orcid": null, "emails": "[email protected]", "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": [], "awardee_organization": { "id": 344, "ror": "https://ror.org/00za53h95", "name": "Johns Hopkins University", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "The years ahead will likely see face masks become a critical and widely used “medical appliance.” Understanding the physics that underpins the effectiveness of face masks as a defense against airborne pathogens is therefore more important than ever. The protection afforded by face masks has emerged as a particularly important issue in the COVID-19 pandemic, but the flow physics of face masks is complex and is not well-studied. The increased pressure inside the mask during expiration pushes the face mask outwards, resulting in increased perimeter leakage. This fluid-structure interaction problem is mediated by the structural design and the permeability of the mask, as well as the fit on the face. Spasmodic events such as coughing and sneezing generate high transient expulsion velocities and significantly diminish the outward protection of face masks. However, in a conceivable future where people will wear face masks while engaged in their daily routines, outward protection during normal activities such as breathing and talking, might be equally important. The objectives of this project are (i) to develop improved computational and experimental tools necessary to characterize the performance of face masks, (ii) to employ these tools to perform a detailed characterization of mask performance under a variety of conditions and (iii) to generate, in a timely manner, data that can be used for improved facemask design and to guide more effective public health policy.The project will develop a set of innovative, powerful and accurate computational and experimental tools, rooted in flow physics and mechanics that can be used for the quantitative analysis of the protective performance of face masks. Computational tools will couple fluid flows with the motion of elastic structures in complex geometries defined by a wide range of facial geometries. Experimental tools will include simultaneous measurements of mask motion and the aerosol cloud, using Digital Image Correlation and Particle Image Velocimetry, respectively. Visible and X-ray techniques will be used to take measurements outside and inside the mask. The combined results of the simulations and experiments are expected to yield critical insights regarding the features that contribute to the protective performance of masks, and to provide timely guidance for improved mask design and effective public health policies. The project will promote the multidisciplinary education of students in Science and Engineering, and increase public knowledge about the fluid dynamics principles of effective facemasks.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": 1391, "pages": 1424, "count": 14236 } } }