Grant List
Represents Grant table in the DB
GET /v1/grants?sort=other_investigators
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=other_investigators", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1419&sort=other_investigators", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=2&sort=other_investigators", "prev": null }, "data": [ { "type": "Grant", "id": "15088", "attributes": { "award_id": "2402991", "title": "Collaborative Research: NeTS: Medium: Scaling up Multi-user Immersive Content Delivery over mmWave", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Networking Technology and Syst" ], "program_reference_codes": [], "program_officials": [ { "id": 710, "first_name": "Murat", "last_name": "Torlak", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-10-01", "end_date": null, "award_amount": 360000, "principal_investigator": { "id": 26011, "first_name": "Feng", "last_name": "Qian", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Three-dimensional, large-size, and long-duration immersive content captured from real scenes will have a significant impact in the foreseeable future. Playing a critical role in holographic communication, immersive content allows viewers to exercise 6-degree-of-freedom (6DoF) motion during playback. Most existing research on immersive content delivery focuses on single-viewer scenarios. This project proposes to enable, for the first time, a large number of co-located viewers over a millimeter wave (mmWave) network that is capable of providing high bandwidth, with a single access point and edge server. It suits numerous use cases such as massive interactive demonstration and immersive classroom education. This project aims demonstrable networking and systems research with a synergy among wireless networking & sensing, multimedia systems, machine learning, and computer vision. It will help bridge the digital divide by reducing the cost of multi-user holographic communication and telepresence. It will also provide a platform to conduct various outreach activities and community services. As streaming emerging multimedia content is playing a key role in the post-COVID world, the project will have a high impact on global societies and economies.<br/><br/>To overcome the challenge of supporting multiple users with limited network and compute resources, this project innovates in three key dimensions. First, it will develop an accurate motion prediction model that captures users' collective motion and their interactions, and study how to adapt to changes deviating from training data. Second, this project will leverage mmWave sensing based on FMCW (frequency-modulated continuous-wave) radar to directly incorporate environment reflection profiles into beamforming and mmWave throughput prediction. Assisted by 6DoF motion prediction, this will lead to proactive and fast beamforming, as well as an accurate forecast of mmWave performance that benefits upper layers. To realize environment profiling based on mmWave sensing, the project will design two techniques: collaboratively reconstructing indoor 3D reflectivity maps and building a neural representation of indoor mmWave reflections. Third, this project proposes two approaches to scale up at the application layer: hybrid streaming where certain viewers receive 3D content and others consume content live-transcoded by the edge, and allowing viewers to share a transcoded view. The team will integrate the above thrusts into a holistic framework, implement it on their mmWave testbed with heterogeneous client devices, and conduct extensive evaluations including field trials with real users.<br/><br/>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": "15110", "attributes": { "award_id": "2405915", "title": "US-Israel Collab: A structural and multiepistemic approach to modeling Brucella transmission along complex networks in Bedouin communities", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "Ecology of Infectious Diseases" ], "program_reference_codes": [], "program_officials": [ { "id": 599, "first_name": "Samuel", "last_name": "Scheiner", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-09-01", "end_date": null, "award_amount": 3000000, "principal_investigator": { "id": 31655, "first_name": "Julianne", "last_name": "Meisner", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 159, "ror": "https://ror.org/00cvxb145", "name": "University of Washington", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true }, "abstract": "Zoonotic diseases are diseases that animals give to humans. SARS-CoV-2, the cause of COVD-19, is a zoonotic disease, and the COVID-19 pandemic has highlighted the importance of both zoonotic diseases, and mutual trust between public health institutions and the public whose health they are intended to safeguard. To effectively control zoonoses, we need a better understanding of exactly how they are transmitted, and how trust—and its absence—influences that transmission. Brucellosis is a zoonosis caused by a bacteria that is present worldwide, including the US. The most serious form is caused by the bacteria Brucella melitensis, which is spread by sheep and goats when a person drinks or eats milk or cheese that hasn’t been pasteurized, or when people assist a sheep or goat who is giving birth. In animals, the disease causes pregnancy losses and reduced milk production. In humans, the disease also causes pregnancy losses, as well as fever, headaches, back pain, physical weakness, and fatigue that can last for months or even years. In some cases, severe neurological and heart effects can also be seen. The project leverages the strong US-Israel research collaboration to advance the knowledge of the more-than-bio-physical drivers of interspecies disease transmission, focusing on Brucella melitensis but generalizable to other zoonotic diseases. <br/><br/>This project works with Bedouin communities in southern Israel, where Brucella burden is among the highest in the world, second only to Syria pre-war and likely worsening since. These communities exhibit extremely high levels of institutional distrust and experience ongoing urbanization. This provides a model setting for examining how distrust, urbanization, and zoonoses—a triad being replicated throughout the world—collectively impact humans, animals, and livelihoods. The research tests the hypothesis that institutional distrust and population displacement to urban centers increase the density of human-animal contact networks, facilitating the transmission of brucellosis. Objective 1 aims to measure human-animal contact networks among six Bedouin communities in southern Israel using qualitative data, quantitative data, and experience-based knowledge. These data support Objective 2 to model synthetic human-animal networks and develop a new method for generating Brucella genomes, applied to samples collected from humans, livestock, and environments. Subsequent tasks for Objective 3 include fitting and validating an epidemic network model using these synthetic networks and Brucella genomes and applying this model to test the research hypothesis by exploring counterfactual scenarios defined by distrust and urbanization, developed through participatory methods. These methods and insights afford broad applicability beyond this empirical setting, to other Brucella systems and zoonotic diseases throughout the world.<br/><br/>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": "15149", "attributes": { "award_id": "2433784", "title": "Travel: Conference: Gateways 2024", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "EDUCATION AND WORKFORCE" ], "program_reference_codes": [], "program_officials": [ { "id": 6428, "first_name": "Varun", "last_name": "Chandola", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-08-01", "end_date": null, "award_amount": 32251, "principal_investigator": { "id": 13923, "first_name": "Sandra", "last_name": "Gesing", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 258, "ror": "", "name": "University of California-San Diego", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Gateways 2024 is the major event for the science gateway community in the US to discuss challenges and solutions in the area, to identify new issues, to shape future directions for research, foster the exchange of ideas, standards and common requirements and push towards the wider adoption of science gateways. The topics covered by the Gateways conference series range from technical topics to use cases to related content such as usability or sustainability of science gateways. The knowledge transfer can be transformative between different research domains and technical content. The building blocks of science gateway frameworks are re-usable in diverse research areas evident in widely used frameworks such as Hubzero and Tapis. The Gateways conference series sets the stage for learning, engaging and empowering the different stakeholders in the community who are science gateway users, developers and providers as well as funders and decision makers. Providing travel grants for students and early-career researchers allows to include a diverse audience and support underrepresented minorities.<br/><br/>Science gateways are a key part of NSF funded Cyberinfrastructure, and they are used by hundreds of thousands of researchers and students, supporting both publication-quality science and at-scale education. Science gateways involve a comprehensive set of research domains that has a broad impact on society, addressing considerable challenges such as pandemics, climate change, global sustainability of food, water, and land use driven by growing populations and rising per capita incomes. In recognition of their importance, NSF has funded the Science Gateways Community Institute (SGCI) and more recently the SGX3 Science Gateways Center of Excellence to provide leadership for the science gateways community. The Gateways conference series is one of the of flagships of SGCI and SGX3 and the major event in the US to bring the science gateways community together. The conference series has existed since 2016 and has attracted each year between 100-170 participants. In 2023 it has moved from an SGX3-organized conference to a community-driven conference with the first time the general chair being selected by a newly established advisory board for the conference and who is not part of the SGCI/SGX3 team. The goal is to attract additional research domains and tap into the chair's networks that are not already in contact with SGCI/SGX3. SGX3 continues to guide the conference while inviting each year since 2023 a different general chair. Gateways 2024 features various program formats such as keynotes, presentations, tutorials, demos, panels, posters and Bring Your Own Portal. Accepted submissions are published in open-access proceedings and accepted papers are invited to a special issue in a journal. SGCI/SGX3 has an impressive record of underrepresented minority involvement within the science gateway community. The travel grant allows to involve more students and early-career researchers at Gateways 2024 and they are selected under consideration of diversity, equity and inclusion.<br/><br/>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": "15133", "attributes": { "award_id": "2414965", "title": "Instrument-free yes/no quantitative analysis of molecular biomarkers", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "Special Initiatives" ], "program_reference_codes": [], "program_officials": [ { "id": 961, "first_name": "Aleksandr", "last_name": "Simonian", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-09-01", "end_date": null, "award_amount": 380074, "principal_investigator": { "id": 31692, "first_name": "Irina", "last_name": "Nesterova", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 574, "ror": "https://ror.org/012wxa772", "name": "Northern Illinois University", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "Contemplating on the recent pandemics, the general public came to realize and appreciate the vital role of do-it-yourself diagnostic devices for disease control and management. Such devices report whether a unique pathogen-associate molecule (also known as a molecular biomarker) is found in a human. To extend the benefit of accessible molecular diagnostics to a wider range of diseases and situations, it is critical to develop devices that not only report whether a specific molecular biomarker is present but also answer the question of how much of that biomarker is present (so called quantitative analysis). The goal of this project is to develop a platform that enables an equipment-free and easy-to-interpret quantitative analysis of molecular biomarkers in do-it-yourself and point-of-care environments. To ensure an easy interpretation, the platform will produce a yes/no answer that involves observing bubbles as a readout. Observing bubbles does not require scientific training, an equipped lab, or color vision proficiency and, therefore, can be easily recognized by everyone ages 2 and up. In addition to public health benefits, the proposed development will spark and sustain a STEM interest in middle- and high school student through their direct hands-on engagement in the project- related experimental work.<br/><br/>The goal of this project is to develop a platform for instrument-free easy-to-interpret quantitative analysis of molecular biomarkers. The proposed platform will comprise two developments: a yes/no output for quantitative measurement and a novel equipment-free signal readout. The yes/no quantitative measurement will be enabled through stoichiometry. The heart of the model is negative cooperativity-based target – probe binding. The binding modality yields a well-defined structure exactly at the stoichiometric equivalence point. Detection of the structure is a yes/no event for a quantitative result. The new equipment-free readout will be based on bubbling produced in a gas-generating reaction. As an easy to spot and interpret phenomena, bubbling perfectly matches the yes/no paradigm. The gas-generating readout will be triggered via an activatable in the equivalence point catalytic system. The project will produce a general methodology that is adaptable to a range of molecular targets including potential new agents (once their target binding is characterized to some extent).<br/><br/>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": "15093", "attributes": { "award_id": "2416741", "title": "Investigating the Uptake of Research-Based Instructional Strategies: A Post-COVID Update", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Directorate for STEM Education (EDU)", "IUSE" ], "program_reference_codes": [], "program_officials": [ { "id": 27310, "first_name": "James A. M.", "last_name": "Alvarez", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-10-01", "end_date": null, "award_amount": 156614, "principal_investigator": { "id": 31631, "first_name": "Estrella", "last_name": "Johnson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 244, "ror": "", "name": "Virginia Polytechnic Institute and State University", "address": "", "city": "", "state": "VA", "zip": "", "country": "United States", "approved": true }, "abstract": "This project aims to serve the national interest by mapping national patterns in the use of research-based instructional practices in post-secondary chemistry, mathematics, and physics courses five years after the disruptions due to the COVID-19 pandemic. In the Spring of 2019, a survey was sent to roughly 18,000 instructors of first-year mathematics, chemistry, and physics courses at nearly 1000 post-secondary institutions. That survey provided a comprehensive view of introductory science courses and instructors across the United States, with responses from nearly 4000 faculty from 660 U.S. colleges and universities. However, just one year later colleges and universities across the nation quickly shifted to online, emergency remote teaching in response to the COVID pandemic. The scale of instructional change during this time was both unprecedented and ubiquitous, with nearly every instructor teaching in the spring of 2020 required to try something new, and many needing to continue experimenting and revising their courses for the following semesters. This project will repeat the 2019 survey in order to characterize any lasting impact of the COVID pandemic on undergraduate science education and understand what this new instructional landscape may mean for change agents working to improve undergraduate science education through the uptake of research-based instructional practices.<br/><br/>The goals of this project are to 1) understand the impact of the COVID pandemic on undergraduate science education as well as provide a current description of undergraduate science instruction, and 2) in consideration of any shifts following the COVID disruption to higher education, revise and update the research-based insights and recommendations for supporting and achieving instructional change in undergraduate STEM. To do so, the roughly 18,000 instructors will be re-surveyed. Some of the survey analyses will be conducted on the new responses alone, including multilevel modeling of the impact of malleable factors on instructors’ adoption of research-based instructional practices. Other analyses will incorporate the prior results for pre-post analysis to capture changes in the practices of both individuals and the disciplines in the aggregate. Where changes are observed, additional statistical tests and modeling will be used to identify the impact of emergency response teaching strategies on those shifts. These findings will be used by change agents (e.g., professional development organizations, instructional coaches) to better support undergraduate instructors in implementing research-based instructional strategies and by administrators (e.g., department chairs, course coordinators) in making resource allocations and policy decisions. These results will update the foundational knowledge base needed to support widespread pedagogical shifts toward the use of research-based instructional practices in post-secondary STEM education, impacting undergraduate students across the country. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students. Through its Institutional and Community Transformation track, the program supports efforts to transform and improve STEM education across institutions of higher education and disciplinary communities.<br/><br/>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": "15186", "attributes": { "award_id": "1R01HS030083-01", "title": "Reducing Uninsurance by Addressing Administrative Burdens in the Health Insurance Marketplaces", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "Agency for Healthcare Research and Quality (AHRQ)" ], "program_reference_codes": [], "program_officials": [ { "id": 24040, "first_name": "Fred", "last_name": "Hellinger", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-09-01", "end_date": "2029-06-30", "award_amount": 376307, "principal_investigator": { "id": 31767, "first_name": "Coleman", "last_name": "Drake", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 848, "ror": "", "name": "UNIVERSITY OF PITTSBURGH AT PITTSBURGH", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true }, "abstract": "Over 27 million Americans remain uninsured in 2022, and millions more have lost Medicaid coverage with the end of the Public Health Emergency in 2023. Over 40% of uninsured persons were eligible for large subsidies to obtain coverage through the Health Insurance Marketplaces created by the Affordable Care Act. Health in- surance is critical to providing access to care and improving health outcomes. While the American Rescue Plan Act greatly reduced affordability barriers to Marketplace coverage, other key barriers to coverage remain un- addressed. Administrative burdens—the compliance, learning, and psychological costs people face when inter- acting with government services—have a large effect on health insurance coverage take-up. Despite the Market- places’ critical role in providing health insurance coverage to Americans during the COVID-19 pandemic, lim- ited research exists on the effects of administrative burdens on Marketplace enrollment. This proposal’s objec- tive is to assess how different types of administrative burdens impact Marketplace enrollment. The applicants will use state-of-the-art research methods from economics, public administration, and anthropology to address three specific aims: (1) determine if eliminating premium payment-related compliance costs affects reenroll- ment in Marketplace coverage; (2) determine whether reducing the burden of information costs through adver- tising affects Marketplace coverage take-up; and (3) create a person-centered understanding of how compli- ance, information, and psychological costs erect barriers to Marketplace coverage. Aims 1 and 2 will use Mar- ketplace enrollment data and causal inference approaches; Aim 3 will use semi-structured interviews in three diverse states, Arizona, Connecticut, and North Carolina, to study administrative burdens. This mixed methods research addresses a critical need for evidence on cost-effective policies that can reduce the number of unin- sured, who disproportionately consist of AHRQ priority populations, including racial and ethnic minorities and rural and low-income populations. In so doing, this proposal is directly responsive to AHRQ’s interest in re- search on health insurance coverage, access and affordability, and its special emphasis notice on health services research to advance health equity. It also is responsive to the President’s executive order on reducing adminis- trative burdens. Results will provide state and federal policymakers with easily implementable approaches to reducing the uninsured rate by making the process of Marketplace enrollment less burdensome. This proposal is particularly timely with the end of the Public Health Emergency, which will require millions of former Medi- caid enrollees to successfully navigate Marketplace administrative burdens to remain insured. The applicants will directly disseminate findings to Marketplace policymakers and administrators to facilitate translation of the proposed research into policies that reduce the number of uninsured.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "15178", "attributes": { "award_id": "1F31AI179125-01A1", "title": "Defining factors affecting natural killer cells' antibody-dependent responses in COVID-19", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [ { "id": 26918, "first_name": "Michelle Marie", "last_name": "Arnold", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-09-01", "end_date": "2027-08-31", "award_amount": 42293, "principal_investigator": { "id": 31761, "first_name": "Leslie", "last_name": "Chan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 266, "ror": "https://ror.org/00f54p054", "name": "Stanford University", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "SARS-CoV-2, the causative agent of COVID-19, has become an extended public health challenge due to the emergence of variants that results in reduced protection by vaccination and prior infection. As innate immune cells that recognize and lyse infected or stressed cells, natural killer (NK) cells are uniquely poised to respond to SARS-CoV-2 variants capable of escaping antigen-specific immune responses. NK cells can potently target virus-infected cells via antibody-dependent responses even if the host antibodies have poor neutralizing activity. While the ability of NK cells to mediate antibody-dependent responses could significantly influence disease pathogenesis, the factors affecting NK cells’ antibody-dependent responses are understudied. My proposed research seeks to resolve these critical gaps in our knowledge of the immune response to SARS-CoV-2. I hypothesize that SARS-CoV-2 infection, immunosuppressant treatment, and acquisition of surface molecules from infected cells impair the antibody-dependent responses of NK cells. To test this hypothesis, I will 1) identify how COVID-19 vaccination and infection influence the ability of memory-like NK cells to perform antibody-dependent responses; 2) elucidate how immunosuppressant drugs interact with COVID-19 cytokines to affect NK cells’ antibody-dependent responses; and 3) define mechanisms by which trogocytosis, the acquisition of surface molecules, from SARS-CoV-2-infected cells impairs NK cells’ antibody-dependent responses. In Aim 1, I will compare NK cells’ antibody-dependent responses across different COVID-19 patient groups and build upon my training in immune cells’ surface proteomics analysis to evaluate intracellular signaling activity. In Aim 2, I will co-culture NK cells with SARS-CoV-2-infected cells to elucidate the impact of immunosuppressant drugs on NK cells’ antibody-dependent response. In Aim 3, I will gain training in dissecting NK cells’ ligand interactions and NK cell engineering to define mechanisms by which trogocytosis can impair NK cells’ functions. My BSL3 certification and training to work with SARS-CoV-2, combined with my experiences in evaluating NK cells’ functions, uniquely qualify me to carry out this proposed research. This research plan will provide me with robust training in assessing NK cell responses to virus-infected cells through the establishment of co-culture systems. Notably, my proposed research on trogocytosis is a particularly novel research area and gives me the opportunity to creatively pursue an understudied topic of interest by identifying the tools appropriate for this research. This work will be the first to determine the mechanisms by which NK cells’ antibody-dependent responses are regulated in infection, with therapeutic implications for COVID-19 and other infectious diseases.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "15125", "attributes": { "award_id": "2404834", "title": "Conference: MEE Hubs: A hybrid conference in microbial ecology and evolution", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "Evolutionary Processes" ], "program_reference_codes": [], "program_officials": [ { "id": 6330, "first_name": "Paco", "last_name": "Moore", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-09-01", "end_date": null, "award_amount": 120910, "principal_investigator": { "id": 31683, "first_name": "Maria", "last_name": "Rebolleda-Gomez", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 177, "ror": "", "name": "University of California-Irvine", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Recent years have seen an increased integration of ecology and evolution in the understanding of microbial populations and communities. For instance application and development of population genetic models allows investigation of the evolution of microbes in the host, and the ways in which spatial dynamics can shape evolutionary change. Increased integration physiological theories with ecology also increases predictability of microbial community assembly and function. These current advances make it clear that it is important to foster interdisciplinary interactions in understanding microbiomes. Conferences can play a central role in this type of fostering. However, travel costs, both monetary and environmental, are a barrier to increased conference participation. This conference will integrate microbiology, evolutionary ecology, physics, and mathematics, driving innovation in fundamental and applied questions. This conference will explore a novel mechanism for conferences that will allow the benefits of in person meetings while retaining the global networking available through virtual meetings. The project will develop a more sustainable model of conferences in the future and will promote the organizing similar conferences in other fields. Decreased cost will foster increased participation of a scientifically and demographically diverse set of participants. <br/>Virtual conferences as a result of the pandemic have provided an alternative to in person conferences that is more sustainable and accessible, but lack important aspects of in person encounters with colleagues. As a solution this conference will explore a hub-based conference model in microbial ecology and evolution. This entire conference will consist of six hubs meeting on the same day and interacting across four countries (USA, Mexico, UK, Switzerland). Each of the hubs will highlighting cutting-edge microbial ecology and evolution from a highly interdisciplinary perspective. This funding will support 3 USA based hubs, including awards to promote travel of students from historically underrepresented minorities in STEM.<br/><br/>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": "15194", "attributes": { "award_id": "1R43OH012683-01", "title": "Voice Amplifier to Enhance Occupational Safety and Critical Care among Masked Providers", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute for Occupational Safety and Health (NIOSH)" ], "program_reference_codes": [], "program_officials": [ { "id": 24462, "first_name": "BRIDGETTE E", "last_name": "GARRETT", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-09-01", "end_date": "2025-08-31", "award_amount": 357231, "principal_investigator": { "id": 31774, "first_name": "Matthew", "last_name": "Hilden", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2518, "ror": "", "name": "MINNESOTA HEALTHSOLUTIONS CORPORATION", "address": "", "city": "", "state": "MN", "zip": "", "country": "United States", "approved": true }, "abstract": "The proposed project relates to the development of a technological intervention to improve speech intelligibility among healthcare workers who wear personal protective equipment for occupational safety while caring for patients with infectious diseases. Respiratory protective equipment such as filtering facepiece respirators, elastomeric half- and full-facepiece respirators and powered air-purifying respirators are routinely worn in the critical care unit as components of personal protective equipment for occupational safety when caring for patients with infectious diseases including COVID-19. Diminished speech intelligibility has been observed to be associated with certain types of respiratory protective equipment. Effective verbal exchanges are vital in critical care and significant reductions in speech intelligibility impact many complex tasks. The objective of this proposed scientifically rigorous phase I project is to specify, design, construct, test and evaluate a fully functional prototype system to improve speech intelligibility among healthcare workers wearing respiratory protective equipment. The system will be designed for use in a healthcare environment and be compatible with a wide variety of respiratory protective equipment.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "15202", "attributes": { "award_id": "1R56AI178166-01A1", "title": "Pathogenesis and Outcomes of SARS-CoV-2 In Utero Transmission - Immunologic and Virologic Evaluations", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [ { "id": 6243, "first_name": "BROOKE ALLISON", "last_name": "Bozick", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-09-01", "end_date": "2025-08-31", "award_amount": 664837, "principal_investigator": { "id": 31785, "first_name": "Andrea A.Z.", "last_name": "Kovacs", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Importance: Despite effective vaccines, SARS-CoV-2 infection remains a major public health problem for pregnant women and their newborns as they have increased morbidity and mortality. Studies on estimated rates of in utero transmission are conflicting and reported on small numbers mostly limited to PCR testing at birth. Critical Gaps include limited diagnostics to identify in utero infection and lack of understanding of factors that impact MTCT and the pathogenesis of disease. From October 2021 through February 2023, we studied 1294 infant cord bloods for presence and level of SARS-CoV-2 antibodies. Overall, 89.9% had anti-RBD IgG, indicating maternal vaccination and/or previous infection and 55.1% had both anti-N and anti-RBD IgG, indicative of past infection. Fetal IgA and/or IgM antibodies to SARS-CoV-2 were found in 21.8% of 176/808 samples with anti-N, indicative of in utero transmission. The overall goal of this study is to identify newborns with in utero SARS-CoV-2 and prospectively follow infants to identify clinical and neurodevelopment outcomes. Aim 1: Identify newborns with in utero SARS-CoV-2 infection using a multi-faceted approach and assess relationship with inflammation, placental infection and pathology, and immunity. Hypothesis 1: In utero infection will be associated with elevated soluble markers of inflammation in newborn cord blood and evidence of placental infection and dysfunction. Using cord blood we will screen 3,600 newborns for anti-N, S, and RBD IgG antibodies (Abs) and if anti-N+ we will assess for SARS-CoV-2 specific anti-IgM and anti-IgA abs. Maternal SARS-CoV-2 qPCR testing will be done at delivery, and if qPCR+, newborn qPCR will be performed at 24/48 hours. Variant type will be determined by ddPCR. Newborn meconium/stool samples will have qPCR testing. Soluble biomarkers of inflammation and immune activation will be determined. Finally, placentas will be evaluated for pathology and SARS-CoV-2 infection. Aim 2. Longitudinally assess for immune activation, dysregulation, and function among a subset of infants with in utero infection and matched controls. Hypothesis 2: In utero infected infants will have abnormal markers of inflammation, immune activation, and dysregulation that if sustained will be associated with adverse clinical outcomes. In a subset of 100 infants with in utero SARS-CoV-2 and 50 uninfected controls we will determine levels of CD4 and CD8 T-cell activation and dysregulation and assess for SARS-CoV-2 specific antibodies and T cell response in mother-infant dyads at birth and longitudinally. We will then correlate with clinical and neurodevelopmental outcomes. At the end of this project, we will have developed a comprehensive algorithm to screen and follow newborns with in-utero SARS-CoV-2 and will have determined if there are immunologic dysfunctions impacting clinical, developmental, neurologic, and other abnormalities that may require long-term follow-up, treatments and/or interventions.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 1, "pages": 1419, "count": 14184 } } }