Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1383&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=1384&sort=-id", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1382&sort=-id" }, "data": [ { "type": "Grant", "id": "743", "attributes": { "award_id": "2121097", "title": "RAPID: Informed and Ecological Decision Making of COVID-19 Vaccination", "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": 1740, "first_name": "Sara", "last_name": "Kiesler", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-03-01", "end_date": "2023-02-28", "award_amount": 200000, "principal_investigator": { "id": 1741, "first_name": "Aiping", "last_name": "Xiong", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 219, "ror": "", "name": "Pennsylvania State Univ University Park", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 219, "ror": "", "name": "Pennsylvania State Univ University Park", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true }, "abstract": "Vaccination is the most effective method to prevent infectious diseases like coronavirus disease 2019 (COVID-19) and prompt herd immunity. However, herd immunity could be slowed or stalled if people hesitated to be vaccinated. This project aims to facilitate informed vaccination decisions. The research aims to illuminate how people’s vaccination decisions evolve in response to their social context. The project’s novelty is to follow participants over time to evaluate their real-world decision making about vaccination. The project will advance the state-of-the-art on risk communication during crises and decision-making under uncertainty. The project will identify effective communication about COVID-19 vaccines that are understandable by, and applicable to, the public. The project could ultimately improve the immunization rate of the population to pass the threshold for herd immunity and the collective health benefits of immunization. The project entails four tasks that will advance the understanding of human vaccination decision-making under risk and uncertainty. (1 ) Develop communications about the COVID-19 vaccines that are experimentally varied in completeness, transparency, and correctness by leveraging the standards of risk communication in the health domain. (2) Evaluate the effectiveness of proposed communications in enhancing people’s knowledge of COVID-19 vaccines and informing their vaccination decisions. (3) Examine the effectiveness of proposed communications on informing peoples’ vaccination decisions in real-world application settings. (4) Investigate how people respond to uncertainties of different situations in order to understand how vaccination decisions evolve throughout the current vaccination campaign.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": "742", "attributes": { "award_id": "2051967", "title": "STTR Phase I: A system for collection, transportation and accurate analysis of RNA virus specimens", "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": 1738, "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": "2021-02-01", "end_date": "2022-06-30", "award_amount": 256000, "principal_investigator": { "id": 1739, "first_name": "Avinoam", "last_name": "Dukler", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 383, "ror": "", "name": "Kepler Diagnostics Inc.", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 383, "ror": "", "name": "Kepler Diagnostics Inc.", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to support a testing device for collection, transportation and diagnosis of certain viral infections, such as hepatitis C virus (HCV), human immunodeficiency virus (HIV) and measles. Recent viral outbreaks of measles, Ebola, Zika, SARS-CoV, and the COVID-19 pandemic have illustrated the need for fast and accurate diagnosis to contain the outbreak, as well as for decentralized testing during periods of quarantine or general global epidemiological surveillance. The technology will enable at-home or remote location specimen collection without the need for traditional, costly, draw stations and overnight cold-pack shipments. The initial target is hepatitis C virus (HCV) infections. The United States Centers for Disease Control and Prevention (CDC) recommend that adults should be screened for HCV infection at least once in their lifetimes, and women should be screened during each pregnancy. This Small Business Technology Transfer (STTR) Phase I project will focus on solving the inherent instability of RNA viruses. RNA viruses, in liquid blood and especially dry, degrade rapidly. It is why SARS-COV-2 is primarily a contact/aerosol transmission and not a problem with packages. RNA samples have a high sensitivity to ribonucleases (enzymes that catalyze the degradation of RNA) and degrade in a short period of time when dried. Thiis project will create a special protective environment so that when the specimen dries it does not degrade; it will consist of a device that retains a fixed and known amount of specimen, desiccant for drying, and modified atmospheric packaging (MAP) preventing specimen degradation at ambient temperature for up to 14 days. The MAP prevents gas exchange during transit, enabling collection and transport in any weather conditions including cold, heat, and high humidity. Upon arrival at the laboratory, an extraction process will recover the RNA virus for testing via RT-qPCR. This project will evaluate the impact of drying time, inhibition of ribonucleases, gas content within the MAP, transport media, extraction buffer, and RT-qPCR techniques to stabilize and quantify HCV.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": "741", "attributes": { "award_id": "2051972", "title": "SBIR Phase I: A Novel SARS-CoV-2 Virus-Like Particle Optimized to Deliver shRNA Therapeutics to Prevent and Treat Infection (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": 1736, "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": "2021-03-01", "end_date": "2022-04-30", "award_amount": 246731, "principal_investigator": { "id": 1737, "first_name": "Michelle", "last_name": "Ngai", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 382, "ror": "", "name": "NANORED LLC", "address": "", "city": "", "state": "WI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 382, "ror": "", "name": "NANORED LLC", "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 involves generation of a new class of therapeutics to combat the COVID-19 pandemic, while also laying the foundation for a new way to treat respiratory infection and pulmonary illness. This approach relies on precise delivery of a treatment that impairs the ability of the COVID-19 virus to form infectious particles. In the future, this approach could be rapidly modified for use against other respiratory viruses or to deliver other pulmonary medicines. This Small Business Innovation Research (SBIR) Phase I project seeks to generate a novel SARS-CoV-2 therapeutic through precise delivery of a genomic medicine and direct competition with the SARS-CoV-2 virus for access to at-risk or infected pulmonary epithelial cells. This project will use an in silico approach to design and prioritize the product, followed by in vitro testing and validation. This project aims to prioritize a novel delivery vehicle and genomic medicine candidate.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": "740", "attributes": { "award_id": "2052574", "title": "I-Corps: Ultra-Fast COVID-19 Sensor", "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": 1734, "first_name": "Ruth", "last_name": "Shuman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-02-01", "end_date": "2023-01-31", "award_amount": 50000, "principal_investigator": { "id": 1735, "first_name": "Gerardine G", "last_name": "Botte", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 270, "ror": "https://ror.org/0405mnx93", "name": "Texas Tech University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 270, "ror": "https://ror.org/0405mnx93", "name": "Texas Tech University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this I-Corps project include the deployment of a diagnostic sensor at the COVID-19 pandemic frontlines such as hospitals, clinical laboratories, authorized drive-in labs, airports, and public spaces like supermarkets, schools, and universities, work spaces. The sensor will be used for ultra-fast (less than 1 minute) non-invasive screening of samples to ensure safety. The ultimate goal is a home-based test that minimizes the exposure and transmission of virus to clinical technicians and others at testing locations. This testing ability will identify and isolate carriers of the virus and thereby control the spread of virus. This technology is timely to counter COVID-19; However, it can be extended towards detecting other bacteria and viruses and has shown promise for detecting HIV as well. The versatility of the sensor will be investigated. In general, the innovation may lead to ensuring the healthcare of the population by monitoring the condition of individuals rapidly without causing discomfort. This I-Corps project focuses on a new technology for COVID-19 diagnosis. The ultra-fast COVID-19 (UFC-19) detection sensor is a fast, portable, small size instrument that operates directly with saliva (it does not require special swabs or collection devices) for COVID-19 diagnosis with the ability to sense the presence/absence of the virus SARS-CoV-2 in a sample in less than 1 second. The portability and the speed of results makes this sensor a potentially important diagnostic tool for fast initial screening of samples and continuous monitoring of an individual. The UFC-19 technology is based on the electron transfer reaction between the proteins present in the SARS-CoV-2 virus at the electrode/electrolyte interface. This innovation advances the current understanding of electrochemical sensors for point-of-care applications by utilizing multidisciplinary contributions from electrochemical engineering, virology, and physiology, among others. Through this I-Corps program, the team intends to learn about the proposed market to pave the path for commercializing the sensor.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": "739", "attributes": { "award_id": "2036294", "title": "SBIR Phase I: Development of a novel peptide inhibitor of coronavirus papain-like protease as a prophylactic and anti-viral therapeutic for COVID19, administered by inhalation", "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": 1732, "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": "2021-02-15", "end_date": "2022-01-31", "award_amount": 255981, "principal_investigator": { "id": 1733, "first_name": "Avital", "last_name": "Weiss", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 381, "ror": "", "name": "GRIT BIO INC", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 381, "ror": "", "name": "GRIT BIO 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 will result from development of a safe and sustainable anti-viral treatment for COVID-19. Vaccine and drug development efforts are underway, but the efficacy of these treatments and their safety particularly for high-risk populations remain a concern. The proposed project is an anti-viral inhaler that delivers a natural immune defense salivary protein that blocks the activity of a molecule essential for viral replication in the lung. The candidate therapeutic will potentially be a safer treatment option for people with compromised health. The sustainability of this treatment relies on three factors. First, the therapeutic targets a viral genome replication process. Thus, this targeted technology will not be compromised by virus mutations and will maintain its efficacy against current and future coronavirus outbreaks. Second, it does not require clinical administration and is thus more easily accessible by patients. Third, the treatment has potential as an broad anti-viral therapy.The proposed project will validate a novel anti-viral treatment against SARS-CoV-2. First, the anti-viral action will be validated in a cell-based model that mimics human lung infected with coronavirus, alveolar epithelial cells cultured in an air-liquid interface and infected with SARS-CoV-2. Next, an in vivo model will be used to confirm that the therapy can reach the virus target site in the lung, undergo uptake by the alveolar epithelial cells and avoid the barriers of pulmonary delivery (e.g. mucus, pulmonary enzymes or macrophages). Finally, this project will confirm that the therapy does not elicit a pro-inflammatory response and toxicity in lung cells, so it can be safely given to people with compromised health without exacerbating their immune response. The treatment will be delivered by inhalation and ultimately become a therapeutic and prophylactic anti-viral inhaler.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": "738", "attributes": { "award_id": "2115588", "title": "EAGER: Magnetoelectric Biosensor for Rapid Point-of-Care COVID-19 diagnostics", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [], "program_officials": [ { "id": 1730, "first_name": "Usha", "last_name": "Varshney", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-02-15", "end_date": "2023-01-31", "award_amount": 131245, "principal_investigator": { "id": 1731, "first_name": "Dmitri", "last_name": "Litvinov", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 231, "ror": "https://ror.org/048sx0r50", "name": "University of Houston", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 231, "ror": "https://ror.org/048sx0r50", "name": "University of Houston", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "A key component of effective pandemic management is efficient infection surveillance and contact tracing. Testing for COVID-19, caused by the coronavirus, SARS-CoV-2, has been primarily limited to symptomatic patients who seek medical care. However, this approach misses infections in individuals with mild or no symptoms, who are, in fact, highly contagious. While the availability of diagnostic tests using state-of-the-art instrumentation has been rapidly scaled up in response to the COVID-19 pandemic, it remains woefully inadequate for effective disease surveillance and contact tracing. There remains an urgent critical need for ultrasensitive, simple, and rapid diagnostic assays at the point-of-care to enable wide-scale population testing and screening. The ongoing lack of quickly scalable and deployable diagnostic tools for effective wide-scale COVID-19 surveillance is a significant handicap in COVID-19 pandemic management. Such ultrasensitive diagnostic tools are likely to persist into the foreseeable future due to continuously emerging infectious diseases. The success of these tools can make a significant impact at the point-of-care for diagnostic and quantitation of cancer biomarkers and other infectious diseases as well as for the surveillance of environmental hazards and contaminants. This project will be closely integrated with the existing programs at the University of Houston to enhance the recruitment of women and underrepresented minorities into the fields of science and engineering. This research will enable a number of undergraduate Capstone Design projects. The knowledge gained over the course of this project will be disseminated through the Nano Engineering Minor option and graduate courses offered by the PIs in the Cullen College of Engineering.This EAGER aims to demonstrate the feasibility of an inexpensive, compact, and ultrasensitive magneto electric biosensor platform designed for quantitative detection of the SARS-CoV-2 virus nucleoprotein in patient samples. The proposed biosensor is based on magnetic reporter nanoparticles detection in a test line of a lateral flow assay (similar to the technology used in a pregnancy test) using magnetoelectric resonant sensors. Magnetoelectric sensors utilize strain-mediated energy transfer between magnetostrictive and piezoelectric sensor components. These sensors enable the efficient conversion of exceedingly weak external magnetic fields produced by magnetic nanoparticles into electrical signals. The technology is expected to be far more sensitive than current state-of-the-art antigen-detection diagnostics. The achievable sensitivity is also likely to be exceeding the sensitivity of the state-of-the-art tools currently available only at centralized laboratories. The new biosensors will leverage inexpensive and highly scalable manufacturing approaches routinely employed to fabricate micro-electromechanical systems. The biosensor will be comprised of disposable magnetoelectric lateral flow assay cartridges and a simple electronic readout built using low-cost off-the-shelf electronic components. The technology is ideal for sensitively detecting and quantifying the SARS-CoV-2 virus nucleoprotein in nasopharyngeal swabs or saliva samples. It has the potential to become an invaluable tool in pandemic management. Successful demonstration of the technology will establish an analytical and diagnostic platform widely useful in biomedical science and clinical diagnostics. This platform technology will be readily extendable to other types of infectious diseases, detection of cancer biomarkers, and food/environmental contaminants monitoring.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": "737", "attributes": { "award_id": "2043385", "title": "SCC-Civic-PG Track A:Flexible Mobility-as-a-Service to Improve Post-Pandemic Regional Sustainability", "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": 1728, "first_name": "David", "last_name": "Corman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-01-15", "end_date": "2021-09-30", "award_amount": 49994, "principal_investigator": { "id": 1729, "first_name": "Joseph", "last_name": "Ferreira", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 210, "ror": "https://ror.org/042nb2s44", "name": "Massachusetts Institute of Technology", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 210, "ror": "https://ror.org/042nb2s44", "name": "Massachusetts Institute of Technology", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "This project's vision is to encourage sustainable mobility habits that can take advantage of new mobility services. There are enormous debates over whether emerging mobility services (like ride-hailing and bikesharing) are complementary or competitive to public transit. This project believes it would be beneficial to experiment with specific forms of Mobility-as-a-Service (MaaS) in the urban core of a congested metropolitan area (e.g. Boston), wherein public transit can focus on high-quality “mass” transit while allowing for emerging mobility services to complement and feed into public transit. Modern ICTs can provide travelers with a richer set of mobility alternatives that suit individual circumstances and affordability. This project envisions a pilot program that provides low-income workers in targeted communities with mobility service bundles at subsidized costs. Low-income workers can then increase their use of active mobility (which has health benefits) and multi-modal shared services to access more opportunities. The MaaS model also provides tangible benefits for the COVID recovery plan, wherein buses from low-demand routes can be repurposed to better match demand on high-volume routes without eliminating options for car-less individuals on the low-volume routes. This project hopes to learn how preferences for different non-car services vary by time, circumstance, and affordability, in order to extend our findings to the design of a long-term MaaS model that can reverse the trend of rising car ownership in Metro Boston.This project has already analyzed public transit ridership (from MBTA and Transit app) and commuting flows (from US Census Bureau) to preliminarily identify communities and bus routes that are most suitable for the pilot. Low-income commuters along identified bus routes will be recruited to participate in a stated preference survey, which will used to identify willingness-to-pay and willingness-to-switch for alternative (non-private-car) mobility services. Such alternatives include overlapping commuter rail routes (e.g. Fairmount Line), bikesharing, and mobility-on-demand (EZRide/ private shuttles/ ride-hailing). Based on the survey, this project will design a randomized controlled trial that provides voucher programs for targeted individuals. Subsidy levels could even be adjusted periodically based on real-time peak-hour public transit overcrowding data provided by Transit app. MaaS vouchers will be distributed among recruits during the pilot phase, and data on real-time mobility choices will be collected for two months. Finally, this project will evaluate the effectiveness of providing flexible MaaS at both the individual level (e.g. sustainable mobility choices and increased accessibility) and the system level (e.g. lower risk of overcrowding on high-volume bus routes and lower car use). This project is supported by the CIVIC Innovation Challenge program Track A. Communities and Mobility: Offering Better Mobility Options to Solve the Spatial Mismatch Between Housing Affordability and Jobs through a collaboration between NSF and the Department of Energy Vehicle Transportation Office.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": "736", "attributes": { "award_id": "2042661", "title": "SCC-CIVIC-PG Track A: Meeting COVID and Household Affordability Challenges through Flex Streets and Dynamic Bicycle Transportation Infrastructure", "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": 1724, "first_name": "Michal", "last_name": "Ziv-El", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-01-15", "end_date": "2021-06-30", "award_amount": 50000, "principal_investigator": { "id": 1727, "first_name": "Marc", "last_name": "Schlossberg", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 380, "ror": "", "name": "University of Oregon Eugene", "address": "", "city": "", "state": "OR", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 1725, "first_name": "David S", "last_name": "Hurwitz", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 1726, "first_name": "Stephen", "last_name": "Fickas", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 380, "ror": "", "name": "University of Oregon Eugene", "address": "", "city": "", "state": "OR", "zip": "", "country": "United States", "approved": true }, "abstract": "This project seeks to merge the need for flexibility affordability, and physical distancing along our streets by developing flexible traffic signal infrastructure. The goal is to use smart and connected communication systems to maximize the throughput of people on bike, scooter, and other micromobility modes and minimize physical proximity (when needed) that happens if a group arrives at a red light in any given cycle. With safe and efficient infrastructure, micromobility has the potential to meet a majority of household trip needs, is more affordable than car ownership allowing households to either reduce expenses or allocate more to address housing needs, and is more inclusive for people aged eight to eighty to access their communities more fully.This work proposes to expand the nation’s only bicycle and driving simulation lab to create dynamic, immersive environments to test new V2X communication with flexible streets and traffic signals that can help municipalities dynamically and quickly change the use of their public right of way due to changing needs, whether due to pandemics, disasters, or just to respond to overall changing community preferences. The team intends to install a network of traffic signals and test the efficacy of this new smart system on streets in Portland, Oregon, in partnership with community stakeholders. The team includes researchers in urban planning, transportation engineering, and computer science from two universities, a private sector vendor of next generation smart traffic signals, and traffic engineers from the cities of Portland (OR) and Utrecht (Netherlands). The results of this work can help fully integrate micromobility into traffic signal systems, in a scalable way, that also gives information to users in ways that help them optimize their travel. This project is in response to the Civic Innovation Challenge program, Track A— Communities and Mobility: Offering Better Mobility Options to Solve the Spatial Mismatch Between Housing Affordability and Jobs—and is a collaboration between NSF and the Department of Energy.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": "735", "attributes": { "award_id": "2032814", "title": "STTR Phase I: Minimizing Uncertainties in Software-based Vibration Compensation of 3D Printers to Enable Increased Speed and Accuracy (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": 1722, "first_name": "Elizabeth", "last_name": "Mirowski", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-02-01", "end_date": "2022-01-31", "award_amount": 249070, "principal_investigator": { "id": 1723, "first_name": "Samuel", "last_name": "Thompson", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 379, "ror": "", "name": "S2A TECHNOLOGIES LLC", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 379, "ror": "", "name": "S2A TECHNOLOGIES LLC", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact of this Small Business Technology Transfer (STTR) Phase I project is to increase the productivity (speed) of manufacturing machines at low cost without sacrificing quality. The project is specifically motivated by 3D printing (or additive manufacturing), a $9 billion rapidly growing industry whose adoption for mainstream manufacturing is hindered by the low speed of 3D printers. For example, faster 3D printers can help support manufacturing of key equipment, such as personal protective equipment (PPE). A major hindrance to high-speed 3D printing is vibration, which causes loss of quality at high-speed operation. This project seeks to develop a new approach for mitigating the vibration of 3D printers and other manufacturing machines. Because the dynamic behavior of manufacturing equipment may lead to uncertainties in software compensation schemes, this project will develop new software algorithms to address these uncertainties. The software algorithms developed through this project will not only benefit 3D printing, but would also apply a wide range of manufacturing machines, like machine tools and robots, whose speed and accuracy are often limited by vibration.This STTR Phase I project seek to develop two new calibration approaches that allow the filtered B spline vibration compensation software to handle uncertainty and avoid loss of accuracy due to dynamic mismatch. The first approach is robust offline calibration – i.e., calibration of the machine offline to accommodate the widest range of potential mismatch in machine dynamics. Preliminary lab-scale work has shown potential of a robust filtered basis functions to address this issue. However, remaining technical challenges of guaranteed computational efficiency and accuracy of the robust filtered basis function approach must be overcome. The second approach is adaptive online calibration – i.e., updating the calibration of the machine while it is operating in the field using vibration measurements obtained from low-cost accelerometers. To achieve this, this project will address challenges of guaranteed accuracy of adaptive online calibration using low-cost accelerometers by ensuring persistence of excitation during online calibration.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": "734", "attributes": { "award_id": "2044677", "title": "PFI-TT: Flexible Electronic Devices for Harvesting Body Heat toward Self-Powered Wearable Health Monitoring", "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": 1718, "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": "2021-01-01", "end_date": "2022-12-31", "award_amount": 249950, "principal_investigator": { "id": 1721, "first_name": "Mehmet C", "last_name": "Ozturk", "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": [ { "id": 1719, "first_name": "Michael D", "last_name": "Dickey", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 1720, "first_name": "Adam", "last_name": "Curry", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "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 broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project lies in enabling wearable devices that can be used for remote, vigilant, and long-term health monitoring. The COVID-19 pandemic has recently highlighted the acute need for such devices to manage/protect individual and public health, particularly for those with chronic underlying conditions. Continuous monitoring of multiple biomarkers is one of the key enablers of precision and personalized medicine. However, current products on the market are not capable of providing the medical and scientific community the necessary access to high-resolution and longitudinal data. These systems typically lack multiple sensing modalities while also suffering from short battery life. To address the need, wearable platforms must operate with no interruptions to collect high granularity data over time and establish individual health baselines. This can be accomplished by harvesting the excess energy from the human body and/or the environment to power the sensors and the electronics. Such battery-free devices have the potential to revolutionize the medical industry by empowering individuals to gain control of their own health while significantly reducing medical costs by decreasing the need for frequent doctor visits.The project introduces a flexible electronic energy harvesting device that can be worn on the body to harvest excess body heat and convert it to electrical energy. The device relies on a unique liquid-metal material which conducts electricity like a metal while offering water-like viscosity to realize electrical circuitry with ultimate flexibility and stretchability. The technology is compatible with roll-to-roll manufacturing, a highly desirable attribute in flexible electronics to reduce costs. The primary goal of the project is to increase the technology readiness of the harvester to increase its commercialization potential. The research includes systematic studies geared toward assessing and improving the long-term reliability of the harvester while enhancing its manufacturability by introducing materials and processes that offer lower-cost and manufacturing ease without compromising device performance. Research tasks include new flexible materials for enhanced performance, comfort, and robustness. The new materials and devices will be tested on the human body during different physical activity levels and under different ambient conditions. The harvesters will be subjected to repetitive cycles of external stresses such as heat, moisture and mechanical deformation. The results will be used to identify potential failure mechanisms, materials and process solutions will address such mechanisms.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": 1383, "pages": 1424, "count": 14236 } } }