Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1392&sort=-award_amount
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-award_amount", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=-award_amount", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1393&sort=-award_amount", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1391&sort=-award_amount" }, "data": [ { "type": "Grant", "id": "12650", "attributes": { "award_id": "2324998", "title": "ANT LIA: Collaborative Research: Evolutionary Patterns and Mechanisms of Trait Diversification in the Antarctic Notothenioid Radiation", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "ANT Organisms & Ecosystems" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28568, "first_name": "Jacob", "last_name": "Daane", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "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": "Part I: Nontechnical description The ecologically important notothenioid fish of the Southern Ocean surrounding Antarctica will be studied to address questions central to polar, evolutionary, and adaptational biology. The rapid diversification of the notothenioids into >120 species following a period of Antarctic glaciation and cooling of the Southern Ocean is thought to have been facilitated by key evolutionary innovations, including antifreeze glycoproteins to prevent freezing and bone reduction to increase buoyancy. In this project, a large dataset of genomic sequences will be used to evaluate the genetic mechanisms that underly the broad pattern of novel trait evolution in these fish, including traits relevant to human diseases (e.g., bone density, renal function, and anemia). The team will develop new STEM-based research and teaching modules for undergraduate education at Northeastern University. The work will provide specific research training to scholars at all levels, including a post-doctoral researcher, a graduate student, undergraduate students, and high school students. The team will also contribute to public outreach, including, in part, the develop of teaching videos in molecular evolutionary biology and accompanying educational supplements.Part II: Technical descriptionThe researchers will leverage their comprehensive notothenioid phylogenomic dataset comprising >250,000 protein-coding exons and conserved non-coding elements across 44 ingroup and 2 outgroup species to analyze the genetic origins of three iconic notothenioid traits: (1) loss of erythrocytes by the icefish clade in a cold, stable and highly-oxygenated marine environment; (2) reduction in bone mass and retention of juvenile skeletal characteristics as buoyancy mechanisms to facilitate foraging; and (3) loss of kidney glomeruli to retain energetically expensive antifreeze glycoproteins. The team will first track patterns of change in erythroid-related genes throughout the notothenioid phylogeny. They will then examine whether repetitive evolution of a pedomorphic skeleton in notothenioids is based on parallel or divergent evolution of genetic regulators of heterochrony. Third, they will determine whether there is mutational bias in the mechanisms of loss and re-emergence of kidney glomeruli. Finally, identified genetic mechanisms of evolutionary change will be validated by experimental testing using functional genomic strategies in the zebrafish model system.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": "12651", "attributes": { "award_id": "2143044", "title": "CAREER: Voice Technologies for Helping Older Adults Navigate Uncertain Information in Decision Making", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Information Technology Researc" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28569, "first_name": "Robin", "last_name": "Brewer", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 169, "ror": "", "name": "Regents of the University of Michigan - Ann Arbor", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true }, "abstract": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).People often create strategies for determining if the information they encounter online is credible. For example, they may evaluate the website’s structure, professionalism, or other design features. However, many of these strategies are not helpful when searching for information when using voice technologies, many of which lack screens and thus don’t present visual credibility cues. Further, older adults, who often use voice technologies to address accessibility challenges posed by vision, motor, and cognitive disabilities, are also often more susceptible to contradictory or uncertain information that characterizes important topics such as healthcare. Combined, these factors place older adults at greater risk of making risky decisions when accessing information online. This project investigates approaches for developing voice technologies that help older adults with credibility assessment, managing uncertain or inconsistent information, and making informed decisions. The work will advance knowledge about how older adults use voice technologies in seeking information online, develop models for non-visual information seeking, and create new ways of interacting with voice assistants and information to reduce these risks. This project draws upon behavior change research to investigate how to nudge older adults towards better information decisions when using voice technologies. To do so, the research team will engage older adults as community partners, not only in involved in data collection, but also as members of the research team. The research will (1) provide empirical evidence of older adults’ information behaviors when using voice interfaces; (2) evaluate a range of choice architecture strategies for voice-based information seeking and decision-making, using findings to inform the design of a framework for non-visual information seeking; (3) implement the design framework through a toolkit of novel audio tools; and (4) deploy these tools, evaluating their effectiveness at mitigating information uncertainty “in-the-wild” with older adults. The outcomes of the work will advance research in human computer interaction, information retrieval and sensemaking, and aging. Further, as voice interface design is understudied in computing education, this project will also contribute new modules for teaching voice application design to middle and high school students.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": "12652", "attributes": { "award_id": "2302084", "title": "CRII: SaTC: Physical Side-Channel Attacks in Biometric System", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Secure &Trustworthy Cyberspace" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28570, "first_name": "Nima", "last_name": "Karimian", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 385, "ror": "", "name": "West Virginia University Research Corporation", "address": "", "city": "", "state": "WV", "zip": "", "country": "United States", "approved": true }, "abstract": "Biometric traits are permanent and difficult to revoke if compromised, unlike keys or passwords. By requiring the storage of biometric trait measurements (templates) for subjects, biometric systems are vulnerable to violation of user privacy. Unprotected storage of biometric reference data poses severe privacy threats such as identity theft. Despite recent research in the security of biometric systems, research on physical side-channel attacks in biometric systems are still nascent, especially when compared to cryptographic and information technologies. Although side-channel attacks are well-developed techniques in the information technology security and cryptography fields, they have been understudied in the context of biometric systems. The project’s novel aspects are developing methodologies such as metrics, deep learning algorithms, protocols, and tools for physical side-channel attacks and countermeasures in biometric systems. This project intends to be a first step towards bridging the knowledge gap between seemingly isolated research field on hardware security and biometric security. The project's broader significance and importance are improvement of security and privacy of biometric systems against physical side channel attacks followed by protection schemes and involvement in the ongoing biometric evaluation and standardization efforts led by the National Institute of Standards and Technology.This project offers insights for future biometric designers on how to efficiently take advantage of physical side-channel attack frameworks to recognize vulnerabilities in biometric systems. The project outcomes advance both attack (physical side-channel) and defense mechanism (domain-specific architecture) in biometric systems. The biometric protection scheme is evaluated according to International Organization for Standardization and the International Electrotechnical Commission (ISO/IEC) Standard 24745. Due to the wide adoption of biometric systems in society, this project can have a positive impact on a broad range of activities involving identity cards, border identity checkpoints, and patient authentication in healthcare.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": "12653", "attributes": { "award_id": "2325166", "title": "Collaborative Research: Understanding the hydrologic consequences of urban irrigation across the U.S.", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "Hydrologic Sciences" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 8115, "first_name": "Diane", "last_name": "Pataki", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 202, "ror": "https://ror.org/03r0ha626", "name": "University of Utah", "address": "", "city": "", "state": "UT", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "All components of the water cycle are altered by human activities in cities, and the impacts of these changes on urban water and climate are still poorly understood. Urbanization affects climate, the amount of water in soil (soil moisture), and the type and amount of vegetation across the landscape. All of these factors strongly impact evapotranspiration (ET): the flux of water from land to the atmosphere. Urban ET is poorly predicted by hydrologic models that do not adequately represent human actions, such as irrigation. Yet, urban irrigation can have large effects on climate, soil moisture, and plant growth and survival. This study addresses the extent to which ET is limited by soil moisture, atmospheric water demand (a function of humidity and air temperature), or the density and distribution of vegetation within and across U.S. cities. Measurements will be made in three urban regions: Los Angeles, CA (a semi-arid city where irrigation has been declining due to drought response policy), Salt Lake City, UT (semi-arid but still heavily irrigated), and Tallahassee, FL (high rainfall and very high urban tree cover). These cities represent urban settings with different water cycle components. This project will advance knowledge and understanding of urban ET, improve basic climate and water cycle models, and to contribute to efficient water management in cities and urban landscapes. Urban hydrologic data are still sparse relative to observations in natural and agricultural systems. To advance a generalizable understanding of urban hydrology, it is necessary to explore categorizable differences within and across cities in the balance of water supply (soil moisture as supplied by both irrigation and precipitation), plant demand for water uptake (as determined by the magnitude, distribution, and composition of leaf area), and atmospheric evaporative demand (net radiation and vapor pressure deficit). The project will examine similarities and differences in these fluxes within and across cities by quantifying irrigation efficiency, its variability, and its key drivers. The contribution of each component of the soil-plant-atmosphere system to ET fluxes is likely to vary in mesic vs. arid/semi-arid climates and according to local irrigation practices as well as urbanization processes that influence land and vegetative cover. By sampling cities that are hypothesized to span different combinations and ranges of irrigation practices and likely limits on urban soil moisture, vapor pressure deficit, and ET, the investigators will test a general framework that can be applied beyond these specific cities and measurement sites. Ultimately, this project will use the extensive datasets collected in this study for advancing mechanistic models of urban landscape ET as an alternative to empirical crop and landscape coefficient approaches. The results will be disseminated to stakeholders and extension specialists who are focused on improving turfgrass management, outdoor water management, and urban water policy. The investigators will also leverage programs for recruiting and retaining undergraduate and graduate students from under-represented groups to build a diverse, interdisciplinary team aimed at broadening participation in STEM.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": "12654", "attributes": { "award_id": "2230388", "title": "Online Undergraduate Resource Fair for the Advancement and Alliance of Marginalized Mathematicians", "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": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28390, "first_name": "Kiera", "last_name": "Edwards", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2105, "ror": "https://ror.org/00701k896", "name": "Mathematical Association of America", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true }, "abstract": "This project serves the national interest by providing undergraduate and graduate students in the mathematical sciences with “insider” knowledge that will allow them to make informed decisions about their educational and career choices. Specifically, this project will support the third offering of the Online Undergraduate Resource Fair for the Advancement and Alliance of Marginalized Mathematicians, a two-day online conference. Building from two prior offerings in 2020 and 2021 that involved 350 and 400 participants, respectively, the 2022 conference will include six main activities for participating students: (1) Our Stories talks, where recent PhD recipients will share their experiences; (2) crash courses that provide brief overviews of fields of mathematics common in undergraduate research; (3) a summer opportunities panel; (4) a student experiences panel; (5) two plenary presentations; and (6) two virtual networking lunches. Too often, students can be excluded from educational and career opportunities simply because they are not “in the know”, be that due to insufficient mentorship, underdeveloped institutional advising systems, or other circumstances. This is a particularly common challenge for individuals from low-income backgrounds, first-generation students, and students from populations that have historically been underrepresented in the mathematical sciences. This conference looks to provide important mentoring and networking opportunities to promote positive and inclusive access to opportunities for all students. The conference builds upon three pillars: (1) sharing information about resources and opportunities through conference presentations and panel discussions; (2) providing access to role models and representation through a careful selection of speakers with diverse identities and experiences and a history of supporting students; and (3) providing access to networking opportunities. A participant overview and an assessment of the conference’s effectiveness will be conducted using a registration form, a Zoom meeting report, a post-conference survey immediately after the conference, and a post-conference survey four months after the conference. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students.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": "12656", "attributes": { "award_id": "2225122", "title": "Collaborative Research: GEM--Energetic Electron Nonlinear Interactions with Oblique Whistler-Mode Chorus Waves", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "MAGNETOSPHERIC PHYSICS" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28572, "first_name": "Homayon", "last_name": "Aryan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 151, "ror": "", "name": "University of California-Los Angeles", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Whistler-mode \"chorus\" waves are naturally occurring radio emissions in Earth's outer radiation belt. These waves can resonantly interact with trapped energetic electrons (~10 keV to >1 MeV), both accelerating them to high speeds and scattering them into the atmosphere as \"particle precipitation.\" Intense chorus waves, propagating at oblique angles to the background magnetic field, invoke such resonances in multiple harmonics and produce strong electron responses on rapid timescales, within tens of seconds. However, the role of different resonance harmonics in shaping the global state of the radiation belt remains unknown. This investigation will study the interactions between electrons and these intense oblique chorus waves to address this problem. Understanding the properties and mechanisms of these processes is important for forecasting space weather and its effects on sensitive systems, such as spacecraft surfaces and electronics. This project will also support early-career scientists and a graduate student, and the findings will be incorporated into public outreach materials and undergraduate classes at the University of Texas at Dallas.The goal of this project is to address three specific scientific questions: 1) How does energetic electron phase space density evolve under nonlinear wave-particle interactions with oblique whistler-mode chorus waves? 2) Are there observable distinctions between different electron harmonic resonances with magnetospheric chorus waves and, if so, what are they? 3) What are the respective roles of Landau and cyclotron resonances in shaping the outer radiation belt in events with intense oblique chorus waves? To answer these questions, we will develop numerical models of both oblique chorus wave packets and electron phase space density evolution, and quantitatively compare model results with in-situ measurements made by NASA's Van Allen Probes. Importantly, this research may lead to the discovery of direct observational evidence of electron nonlinear resonances in distinctive harmonics, including Landau resonance. These important processes have been theorized to occur in outer space but have yet to be confirmed with experimental evidence.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": "12657", "attributes": { "award_id": "2216807", "title": "PREC Track 2: Partnership for Research and Education in Chemistry-Sustainable Polymers", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "OFFICE OF MULTIDISCIPLINARY AC" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28573, "first_name": "Xinle", "last_name": "Li", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 332, "ror": "https://ror.org/0397tsa92", "name": "Clark Atlanta University", "address": "", "city": "", "state": "GA", "zip": "", "country": "United States", "approved": true }, "abstract": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). Plastics derived from petroleum are ubiquitous in our society, comprising affordable packaging, components of automobiles, computers, building materials, medical devices, etc. However, because of their durability and stability, and their low level of recycling, plastic pollution in the environment and oceans has become a major societal, worldwide problem. The NSF Partnership for Research and Education in Chemistry‒Sustainable Polymers (PREC-SP) will embrace a holistic approach to developing fundamental knowledge and applications of sustainable polymers to meet societal needs. Successful implementation of the proposed work will result in he PREC-SP faculty and students conducting collaborative research with faculty and students of the existing NSF Center for Sustainable Polymers (CSP), as Phase II Center for Chemical Innovation (CCI), supported by the Division of Chemistry (CHE). This partnership has the potential to synergistically combine their transformative work of how plastics are made, unmade, and remade through innovative research and engaging education. The multi-institutional, collaborative research projects that will be the backbone of this PREC-SP/CSP partnership include: (1) development and study of porous crystalline framework catalysts for sustainable biomass valorization to polymer feedstocks; (2) preparation, characterization, processing, and biodegradation of PLA (polylactic acid) and PHB (polyhydroxybutyrate) nanocomposite material that are reinforced with cellulose nanocrystals; (3) synthesis of sustainable block copolymers, functional polymers, and hairy nanoparticles via novel polymerization techniques. The PREC-SP has the potential to expand the diversity of researchers supporting the development of sustainable polymers. Successful implementation will increase education and research opportunities through research experiences for undergraduates, faculty and student exchanges, joint PREC-SP/CSP workshops & seminars, research group meetings, and other practices for professional growth. These opportunities could significantly increase the recruitment, retention, degree completion, of African Americans who enroll in and complete graduate degrees in the chemical sciences, key elements of viable pipeline. A successful partnership will build a sustainable pathway for underrepresented minority students into the professional workforce and higher education research and development positions.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": "12658", "attributes": { "award_id": "2221337", "title": "Collaborative Research: Pacific Alliance for Low-Income Inclusion in Statistics & Data Science", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Directorate for STEM Education (EDU)", "S-STEM-Schlr Sci Tech Eng&Math" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28574, "first_name": "Daniel", "last_name": "Gillen", "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": "This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of high-achieving, low-income students with demonstrated financial need at the University of California - Santa Barbara, the University of California - Irvine, the University of Washington, California State University, East Bay, California State University, Monterey Bay, San Diego State University, and California Polytechnic State University, San Luis Obispo. The Data Revolution is generating numerous well-paid career paths, and creating a significant workforce shortage, in Statistics & Data Science. Graduate degrees are needed for many lucrative, data-rich careers, which can represent a significant barrier for low-income students. This project will provide scholarship support to approximately 115 talented, low-income undergraduate students studying statistics and data science and provide continued scholarship support for at least 65 of them over two years of graduate studies. Scholars will benefit from faculty and peer mentoring, an annual meeting that spans all seven participating schools, and support for applying to and preparing for graduate school, including a pre-grad summer bootcamp. Additional academic supports include a small-group directed reading program, shared coursework to build community within scholar cohorts, and undergraduate research opportunities.The overall goal of this project is to increase STEM degree completion of low-income, high-achieving undergraduates with demonstrated financial need. Additional project goals and aims include: (a) to offer a cohort-based program that supports students financially via scholarships lasting up to 3 years; (b) provide scholars with academic and co-curricular experiences designed to facilitate placement into careers in statistics and data science; and (c) offer interventions to enhance scholars’ community cultural capital. Project research will use surveys and interviews to study three main themes: (a) how counterspaces and other kinds of community develop and support scholars’ progress towards their goals; (b) how scholars’ community cultural wealth shapes and is shaped by the counterspaces and communities that develop; and (c) how students’ low-income status and other identities impact key counterspaces and communities and influence scholars’ choices and outcomes. Project evaluation will provide formative and summative feedback on all aspects of the project to support efficient progress towards goals. This project is funded by NSF’s Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students.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": "12659", "attributes": { "award_id": "2247019", "title": "LEAPS-MPS: Analysis of Initial and Boundary Value Problems", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "OFFICE OF MULTIDISCIPLINARY AC" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28575, "first_name": "John", "last_name": "Holmes", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 308, "ror": "", "name": "Ohio State University", "address": "", "city": "", "state": "OH", "zip": "", "country": "United States", "approved": true }, "abstract": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2)Differential equations have played a central role in the study of physical phenomena since Sir Isaac Newton described the motion of planetary objects using differential calculus, and are fundamental to the understanding of physics, engineering, biology, chemistry, and economics. Differential equations relate how quantities or systems change over space and time and are derived as models for real world situations. In applications such as optimal investing, infectious diseases, chemical reactions, and tsunamis, the differential models used are often of diffusive or dispersive type. The mathematical theory for diffusive and dispersive nonlinear partial differential equations is incomplete, even in basic setups such as when the region considered can be model as the half line or a bounded interval, which for example is the case when dealing with the ocean floor or a fiber optic cable. This project intends to further the mathematical study of these models, to aid scientists in their understanding of the underlining physical phenomena. The project will provide research and training opportunities for undergraduate and graduate students and for early career researchers, with a focus in promoting the participation of members of underrepresented groups in STEM. The central aim of this project is to study dispersive and diffusive equations on the half line and on bounded intervals using the Uniform Transform Method (UTM), which has recently been developed as an extension to the Fourier transform for initial and boundary data. The UTM allows to construct iterative maps via contour integrals in the complex plane but has not yet been successfully applied to the Nonlinear Schrödinger, Korteweg-de Vries, and Burgers equations, with initial and boundary value data in spaces of very low regularity. This project will use the UTM to extend to bounded intervals previous results obtained for unbounded domains in spaces of both very low and very high regularity, with the main goal of developing the techniques and theory necessary to study well-posedness and asymptotic behavior of the solutions.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": "12660", "attributes": { "award_id": "2222148", "title": "Mentoring a Diverse Cohort of Postdoctoral Scholars in Data Science Education Research", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Education and Human Resources (EHR)", "Discovery Research K-12" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28576, "first_name": "Rachel", "last_name": "Levy", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "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": "Data science is rapidly growing, as a profession, a professional skill and a component of literacy for the general public. With data science research careers moving beyond the university setting and into other sectors, it is imperative to learn what kind of learning environment will support the postdoctoral training and development of diverse, skilled data scientists, educators, and data science education researchers who can help build and communicate with a data-literate public. The ability to consume, question, produce, and use data is critical not only to answer research questions in areas such as health, science, business, and government but also to inform decision-making in many aspects of work and personal life. Through this project, the North Carolina State University Data Science Academy will identify the key success components of a model for the recruitment and mentoring of a diverse cohort of postdoctoral fellows who will enter their professions with expertise in data science education research. This model is intended to train and support scholars who have differing levels of experience and strengths in STEM, STEM education, education research, or data science.While data science and literacy can be embedded across disciplines, they are central to STEM Education. How data-related skills will be infused in courses across the curriculum and taught in stand-alone data science learning environments is an open and evolving area of education research and practice. The cohort of postdoctoral scholars will study the North Carolina State University Data Science Academy's course design model: All-campus Data science through Accessible Project-based Teaching and learning (ADAPT). Fellows will work as part of a diverse education research team to develop, implement, scale and share a long-term, robust research program that assesses the efficacy of the ADAPT model and related courses. The research will add capacity to STEM education research by presenting a model that has been validated through ongoing assessment and continuous improvement and has the potential to be adapted to other institutions and STEM fields. By matching postdoctoral fellows with a diverse team of mentors with varied data science education research interests, the project also aims to build reciprocal relationships between mentees and mentors who learn from each other and their experiences. Postdoctoral scholars will have opportunities to engage with a network of data science and education leaders in industry, government, education, consulting and agriculture.The Discovery Research preK-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models and tools. Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects.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": 1392, "pages": 1424, "count": 14236 } } }