Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1385&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=1386&sort=-award_amount", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1384&sort=-award_amount" }, "data": [ { "type": "Grant", "id": "12580", "attributes": { "award_id": "2329821", "title": "CAREER: Pore-Scale Multiphase Mass Transfer in Porous Electrodes", "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": [], "start_date": "2022-11-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28505, "first_name": "Xianglin", "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": 304, "ror": "", "name": "Washington University", "address": "", "city": "", "state": "MO", "zip": "", "country": "United States", "approved": true }, "abstract": "The rapidly growing markets for electric vehicle and unmanned aerial vehicle present a pressing need of high-power and high-energy electric supplies. While the lithium-ion battery is reaching its theoretical energy density limit, other technologies such as lithium-air battery, fuel cells, and super capacitors have great potential as the next generation energy storage and energy conversion technologies. The power density and energy density of these electrochemical technologies are often limited by the supply of reactants within porous electrodes. Clear understanding of transport phenomena within the pores is required to rationally design and engineer high-performance electrodes and devices. This project will apply advanced imaging technologies, customized electrode materials, and computational approaches to visualize and reconstruct pore-scale geometries of electrodes and develop new theories and tools to understand multiphase transport phenomena in porous electrodes. Results from this project will advance the development of environmentally friendly electric storage and conversion technologies. Research outcomes will be incorporated into summer camps, local STEM education platforms, and curriculum developments to educate and train local students with diverse backgrounds. The partnership with local industry will also nurture an educated professional workforce in the Kansas's metropolitan areas.Porous electrodes with high specific surface area are widely used in a variety of electrochemical systems such as batteries, fuel cells, super capacitors, flow batteries, and electrolysis technologies to provide sufficient reaction sites for electrochemical reactions. The goal of this project is to fundamentally understand pore-scale multiphase transport phenomena applicable to porous electrodes of electrochemical devices, considering spatial distributions of the solid matrix and filling fluids, and directly address key barriers to improved system-level performance (energy, power, efficiency etc.). In pursuit of the research goal, this project will integrate experiments and simulations to elucidate how the spatial distribution of each phase governs the pore-level multiphase transfer and system-level performance of porous electrodes. The clear understanding of the spatial phase distributions on transport phenomena is particularly important for sustaining performance in devices equipped with electrodes whose pore-size distributions and properties change over time. Fundamental knowledge on multiphase transport phenomena will fill a significant knowledge gap in porous-electrode engineering. Results from this project will directly benefit sustainable electricity production and storage technologies, including Li-ion batteries, metal-air batteries, fuel cells, super capacitors, redox flow batteries, and electrolysis technologies, to move the society toward a more sustainable future. This project is jointly funded by CBET Electrochemical Systems program and the Established Program to Stimulate Competitive Research (EPSCoR).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": "12581", "attributes": { "award_id": "2228967", "title": "SHINE: Physics-based and Statistical Studies Connecting Surface-field Distributions to the Magnetic Flux Rope Structure in the Corona and Heliosphere", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "SOLAR-TERRESTRIAL" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-11-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 7723, "first_name": "Hong", "last_name": "Xie", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 505, "ror": "https://ror.org/047yk3s18", "name": "Catholic University of America", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true }, "abstract": "Coronal mass ejections (CMEs) from the Sun are the driver of extreme space weather near Earth. This project addresses the Solar, Heliospheric, and Interplanetary Environment (SHINE) goal of understanding the origin and evolution of CMEs through an investigation of magnetic flux ropes. The project is led by scientists from under-represented groups in STEM, who will mentor undergraduate students from underrepresented ethnic minority groups or first-generation college students. The project advances the participation of women in science. Outreach will also be conducted in preparation for the October 2023 and April 2024 solar eclipses.The central goal of this project is to obtain a quantitative understanding of the structure and evolution of magnetic flux ropes from the solar photosphere to the inner heliosphere. The scientific objective of the work is to determine how the reconnected magnetic flux in the solar source region drives the CME flux rope structure in the corona and heliosphere. The proposed objective will be achieved by answering the questions: 1) Do flux ropes exist prior to eruptions, or are they formed during eruptions, or some combination of the two? 2) How magnetic reconnection affect the magnetic properties and kinematics of CME flux ropes? A combination of photospheric and coronal observations combined with flux rope fitting form the basis for geometrical and magnetic characterization of the “flux rope from eruption data” (FRED). The team will determine the direction of the axial magnetic field and magnetic flux rope (MFR) helicity by a combination of magnetogram data and EUV eruptive features (e.g., coronal arcade skews, Fe XII stalks, sigmoids, and magnetic tongues) in solar source regions. Since the flux rope legs are anchored in the photosphere within the EUV core dimming regions in the eruption site, the magnetic flux within the core dimming region corresponds to the flux rope’s axial flux. The reconnected flux within the post eruption arcade corresponds to the poloidal flux of the flux rope. Thus, a MFR is fully defined in the corona and its evolution is tracked under the assumption of self-similar expansion, enabling the prediction of the Bz (out of the ecliptic field) component that encounters Earth. The coronal flux rope structure will be compared against the flux rope in the heliosphere fitted to in-situ observations at various heliocentric distances (Parker Solar Probe, Solar Orbiter, and spacecraft near 1 AU), including self-similar expansion, helicity and the orientation of the coronal and interplanetary flux ropes. The team will use the elliptical flux rope and graduated cylindrical shell techniques for forward modeling of the CME flux ropes. Both the Lepping cylindrical force-free magnetic cloud fitting and Marubashi cylinder and torus fitting are used to derive the MFR structure in CMEs.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": "12582", "attributes": { "award_id": "2203810", "title": "SBP: Promoting Structural Understanding of STEM Gender Disparities in Early Childhood", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "SBP-Science of Broadening Part" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-11-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28506, "first_name": "Gail", "last_name": "Heyman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2118, "ror": "", "name": "Amemiya, Jamie", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "This award was provided as part of NSF's Social, Behavioral and Economic Sciences (SBE) Postdoctoral Research Fellowships (SPRF) program and SBE's Science of Broadening Participation program. The goal of the SPRF program is to prepare promising, early career doctoral-level scientists for scientific careers in academia, industry or private sector, and government. SPRF awards involve two years of training under the sponsorship of established scientists and encourage Postdoctoral Fellows to perform independent research. NSF seeks to promote the participation of scientists from all segments of the scientific community, including those from underrepresented groups, in its research programs and activities; the postdoctoral period is considered to be an important level of professional development in attaining this goal. Each Postdoctoral Fellow must address important scientific questions that advance their respective disciplinary fields. Under the sponsorship of Dr. Lin Bian at the University of Chicago, this postdoctoral fellowship award supports an early career scientist studying STEM gender disparities. This research aims to promote young children’s structural understanding of gender disparities in science, technology, engineering, and math (STEM). From early in life, children notice gender disparities and make sense of these patterns. Among the many possible causal factors, it is critical for children to consider structural causes, such as historical societal discrimination against girls and women in science. A structural understanding of gender disparities may enhance girls’ persistence in male-dominated fields by helping them realize that current gender inequalities do not simply reflect their group’s lack of ability or interest. Moreover, structural thinking may encourage children to rectify gender disparities and include their female peers more in STEM activities. Together, promoting structural thinking in early childhood may help mitigate later gender inequalities in STEM.The proposed research examines the cognitive mechanisms and behavioral outcomes of 5- to 7-year-old children’s structural thinking about STEM gender disparities. The studies will use a social-cognitive experimental approach in which we will randomize children to storybooks that provide different levels of structural information about gender inequality. Aim 1 will examine whether certain types of causal evidence support structural thinking. Results will provide insight into what types of information are most effective for educational materials on structural inequality. Aim 2 will include behavioral experiments to test whether structural explanations for a prior gender inequality in STEM have positive behavioral consequences for girls’ STEM persistence and children’s inclusion of their female peers. The findings will inform which outcomes can be improved through structural thinking interventions, and thus situate a structural thinking approach within broader efforts to increase women’s representation 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": "12583", "attributes": { "award_id": "2222061", "title": "Postdoctoral Training in STEM Education", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Directorate for STEM Education (EDU)", "ECR-EDU Core Research" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-11-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28507, "first_name": "David", "last_name": "Purpura", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 252, "ror": "", "name": "Purdue University", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "This project team will establish the Purdue University Research Program on STEM Education (PURPOSE) postdoctoral training program to support the development of a cohort of postdoctoral scholars in the area of early STEM learning and development in informal and/or formal learning environments such as schools, homes, child care, and community settings. In this training program, postdoctoral scholars will hone their research and teaching skills, build relationships with educators, policy makers, families, and community members that could lead to collaborations, and learn how policies are developed and evaluated, broadening their understanding of how research is used in decision-making at the state level. The program will support the postdoctoral scholars’ success in attaining impactful STEM education careers–where they can generate and disseminate STEM education knowledge–through the provision of research and professional development training experiences. Ultimately, this training will result in well-rounded early STEM education scholars equipped for success in academic, industry, and/or policy-relevant positions.The overarching goal of the PURPOSE postdoctoral training program is to enhance the postdoctoral scholars’ knowledge base beyond traditional STEM skills, theories, and perspectives, to employ new methods relevant to STEM and non-STEM skill development, and to develop collaborations with STEM and non-STEM colleagues. These scholars will build connections and partnerships that extend to practice and policy, engage in holistic scholarly and professional development, and be poised to take the next steps in their career to generate high-quality STEM education knowledge. The training program will be built on the three pillars of research, practice, and policy that are supported through a foundation of professional learning, diversity, equity, and inclusion (in contexts of both their scholarly and professional development), and mentoring (both the provision of mentoring and learning how to mentor). It is expected that the postdoctoral scholars will develop knowledge and skills at the intersection of early STEM education and school readiness. Additionally, the initiative’s structure will be evaluated, refined and used as a model for postdoctoral training that will be maintained by the key personnel at Purdue and disseminated to others through future conferences, professional development training, and other opportunities.This project is funded by the EHR Core Research (ECR) program, which supports work that advances fundamental research on STEM learning and learning environments, broadening participation in STEM, and STEM workforce development.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "12584", "attributes": { "award_id": "2221225", "title": "Preparing Computational Biologists for the New England Workforce", "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": 28508, "first_name": "Winnie", "last_name": "Yu", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1652, "ror": "https://ror.org/00ramkd50", "name": "Southern Connecticut State University", "address": "", "city": "", "state": "CT", "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 Southern Connecticut State University, a public university in a region that is home to the second largest cluster of biotechnology companies on the East coast. The project, \"Preparing Computational Biologists for the New England Workforce (ComBiNE),\" will address the demonstrated need for well-trained graduates in computing and bioscience in New England as well as at the national level. This project will recruit academically talented students with interest in the area of computational biology and have financial needs, implement activities to support retention, and provide high-quality career readiness training. Over its six-year duration the project will award 4-year scholarships to 2 cohorts of 11 and 12 scholars. The project’s objective is to offer equity in talent development to students with financial need and to help fill a gap in the research and industry workforce by building interdisciplinary curricula in computational biology and helping students strengthen career readiness and pathways to meet the local and regional workforce demand. In addition to the interdisciplinary computational biology curricula, a tiered summer research experience, mentoring and cohort building and support are also prominent features. ComBiNE aligns with NSF mission as it will also generate knowledge on how to improve retention and graduation rate in STEM education. With 45% of Southern Connecticut State University undergraduate students coming from groups underrepresented in their pursuit of STEM fields, this project holds promise to support diversity and inclusion. ComBiNE will also increase partnering between academia and industry, and it will increase the economic competitiveness of the United States by providing the workforce with well-trained professionals in a fast-growing field both at the national and state level.Awarded students will participate in a variety of activities aimed at engagement and retention. First is a computational biology themed orientation and first-year experience coupled with specially designed major and minor curricula that ensure acquiring interdisciplinary computational biology expertise. Next, peer-support through a learning community and cohort building events will be offered along with one-on-one mentoring with an assigned mentor throughout the duration of the scholarship. Finally, structured and incremental three-phase interdisciplinary computational biology research and internship experiences are paired with career-development events for students in their junior and senior years, increasing their prospects in career placement. The interdisciplinary summer research experience is one of the key elements in the ComBiNE program and consists of the three phases: Introduction, Incubation, and Independence. These summer research experiences will support students in securing internships in the local industry in the summer prior to their senior year. The ComBiNE program will also inform and generate knowledge about academic success, retention and completion, and program efficacy particularly among STEM students with financial needs. With much evidence in the literature on the importance of undergraduate research in improving retention and completion, ComBiNE will focus on the efficacy of the structured and incremental three-phase interdisciplinary research experience in increasing students’ persistence in research and ultimately their retention in and completion of the program of study. 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": "12585", "attributes": { "award_id": "2219734", "title": "Collaborative Research: CISE-MSI: RPEP: CPS: A Resilient Cyber-Physical Security Framework for Next-Generation Distributed Energy Resources at Grid Edge", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "CISE MSI Research Expansion" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28509, "first_name": "Sudip", "last_name": "Mazumder", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 163, "ror": "https://ror.org/02mpq6x41", "name": "University of Illinois at Chicago", "address": "", "city": "", "state": "IL", "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).Current electric power grid is undergoing transition due to the rapid penetration of distributed energy resources (DERs) including renewable energy systems, energy storage systems, and electric vehicles. However, new cybersecurity threats arise. It is still challenging to model and manage a cross-layered security perimeter in multiparty-involved DER systems. Maloperation or malicious control of DERs will be caused by advanced attackers (e.g., hackers and insiders) as seen the real-world attack cases using the expanded attack surfaces. Besides, quantum era is coming soon and it is anticipated that quantum computing attacks will be possible within 5–10 years. In addition, many inverter-based DERs exposed to the public are vulnerable to physical attacks. To address major threats facing the cyber-physical DERs, this project aims to develop a resilient cyber-physical security framework with a collaborative partnership across multidisciplinary team members from two minority serving institutions, Texas A&M University-Kingsville and University of Illinois Chicago, and Sandia National Laboratories. Moreover, this partnership supports an integrative research and education program of the MSIs for training skilled next-generation workforce in the cyber-physical power and energy systems areas.The technical goal of this project is to launch a major research direction to develop an innovative resilient cyber-physical security framework that addresses imminent challenges in both future cyber-physical security requirements and power engineering designs and resilient operational strategies for DER-rich power systems. Specific integrated research thrusts are as follows: (a) developing a blockchain security governance model for DER systems operating under multiparty and system of systems environments; (b) developing a quantum secure DER network by studying a lightweight post quantum cryptography against quantum computing attacks; (c) realizing DER inverter hardware hardening by investigating a new DER smart inverter security design; and (d) achieving controlled resilience at grid edge using event-triggered resilient self-learning control with retrieval strategy ensuring reduced dependency and susceptibility to communication during security breach.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": "12586", "attributes": { "award_id": "2301335", "title": "Collaborative Research: CISE-MSI: DP: CNS: An Edge-Based Approach to Robust Multi-Robot Systems in Dynamic Environments", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "CISE MSI Research Expansion" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28510, "first_name": "Pooyan", "last_name": "Fazli", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "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": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).Multi-robot systems consist of autonomous robots interacting in a shared environment to achieve common goals. They are widely used in real-world application domains such as transportation, disaster management, as well as warehousing and manufacturing. This project develops an efficient, robust, and secure multi-robot system, called EdgeRobot. EdgeRobot establishes an edge computing based architecture and algorithmic framework to facilitate multi-robot collaboration and coordination in dynamic environments. This work provides new model, architecture, and theory for coordinated multi-robot systems. In addition, this project builds research capacity, sustainable for training underrepresented students via the partnership of six geographically diverse minority-serving institutions in the United States: the University of Houston-Clear Lake (South), the University of Michigan Flint (North), CUNY-New York City College of Technology (Northeast), Morgan State University (East), San Francisco State University (West), and California State University Dominguez Hills (West). The cross-institutional collaboration not only boosts research capacity in all six participating institutions but also provides integrative research and education experience to their underrepresented minority students. Ultimately, this project establishes and exemplifies an effective collaboration model for training and educating underrepresented students from geographically diverse minority-serving institutions.This project consists of the following three research thrusts. First, the novel edge computing infrastructure provides optimal and location-aware computing services for collaborative robots to achieve their common goals. Besides, reinforcement learning-based algorithms solve the multi-robot scheduling and routing problems, modeled as variants of the prize-collecting traveling salesman problem. Second, in tasks requiring collaborative actions, such as cooperative target tracking, multi-agent reinforcement learning enables teams of robots to operate, learn, and adapt in dynamic and human-populated environments robustly and safely. Third, integrating modern cryptographic and security primitives secures the collaboration among edge nodes in multi-robot systems. Consequently, the interface between EdgeRobot and its human team members builds a shared autonomy model.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "12587", "attributes": { "award_id": "2224109", "title": "Collaborative Research: GEM--Impact of Solar Wind Dynamic Pressure Enhancement on the Cusp and Polar Cap Ion Source", "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": 12691, "first_name": "Yu", "last_name": "Lin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 273, "ror": "https://ror.org/02v80fc35", "name": "Auburn University", "address": "", "city": "", "state": "AL", "zip": "", "country": "United States", "approved": true }, "abstract": "Outflow ions from the ionosphere are one of the major particle sources for the Earth's space environment. Their dynamics in the region inside the geosynchronous orbits play a crucial role in space weather disturbances, whose effects include satellite drag, disruption in communication and navigation systems, and damaging electric power grids. This project is focused on understanding the physical processes of how one of the drivers from the Sun, solar wind compression of the geospace, generates these outflow ions and their transport. The compression can often be strong and impulsive, but we currently have little knowledge in both observations and simulations on the resulting outflow ions. This project will establish such knowledge, which is urgently needed in the space community to improve our forecast ability for impulsive space weather events. This project supports the education of a graduate student by providing balanced tasks for developing the student's essential research ability in both simulations and data analysis.The science goal of this project is to understand how solar wind compression impacts outflow ions. The two main objectives and methods are (1) Investigating Cluster satellite data to establish a better observational understanding of temporal variations of the ion fluxes in the cusp and lobes resulting from the compression. (2) Conduct 3D global hybrid simulations to evaluate the physical processes behind the outflow ions caused by the compression. The hybrid simulation is currently the most appropriate tool to take into account the kinetic processes of these outflow ions. The simulations are designed to be compared with the observation results to establish a solid physical understanding. It will also improve our current model specification of the outflow ions that can eventually be incorporated into space weather modeling to achieve a better forecast of the impact of solar wind compression.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": "12588", "attributes": { "award_id": "2224108", "title": "Collaborative Research: GEM--Impact of Solar Wind Dynamic Pressure Enhancement on the Cusp and Polar Cap Ion Source", "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": 28511, "first_name": "Chih-Ping", "last_name": "Wang", "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": "Outflow ions from the ionosphere are one of the major particle sources for the Earth's space environment. Their dynamics in the region inside the geosynchronous orbits play a crucial role in space weather disturbances, whose effects include satellite drag, disruption in communication and navigation systems, and damaging electric power grids. This project is focused on understanding the physical processes of how one of the drivers from the Sun, solar wind compression of the geospace, generates these outflow ions and their transport. The compression can often be strong and impulsive, but we currently have little knowledge in both observations and simulations on the resulting outflow ions. This project will establish such knowledge, which is urgently needed in the space community to improve our forecast ability for impulsive space weather events. This project supports the education of a graduate student by providing balanced tasks for developing the student's essential research ability in both simulations and data analysis.The science goal of this project is to understand how solar wind compression impacts outflow ions. The two main objectives and methods are (1) Investigating Cluster satellite data to establish a better observational understanding of temporal variations of the ion fluxes in the cusp and lobes resulting from the compression. (2) Conduct 3D global hybrid simulations to evaluate the physical processes behind the outflow ions caused by the compression. The hybrid simulation is currently the most appropriate tool to take into account the kinetic processes of these outflow ions. The simulations are designed to be compared with the observation results to establish a solid physical understanding. It will also improve our current model specification of the outflow ions that can eventually be incorporated into space weather modeling to achieve a better forecast of the impact of solar wind compression.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": "12589", "attributes": { "award_id": "2236449", "title": "CRII: CNS: Towards Spectrum and Energy Efficient Large-scale IoT Communications: A Cross-layer Optimization Approach", "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": 28512, "first_name": "Haijian", "last_name": "Sun", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 160, "ror": "", "name": "University of Georgia Research Foundation Inc", "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).Although 5G has dramatically improved network capacity and spectrum efficiency (SE), the explosive growth of Internet of Things (IoT) demands for more spectrum and energy resources to support high device density and massive traffics. It is estimated that at least 5.2 GHz bandwidth is required for just eHealth Care IoT if spectrum is accessed exclusively, or 1.3 GHz even with dynamic sharing strategy. It is clear that shortage of spectrum resources is a major bottleneck for the success of IoT popularity. On the other hand, current IoT devices use standards such as Bluetooth, LoRA, Sigfox, narrow-band IoT (NB-IoT), or Zigbee, which require power-hungry active radio frequency components like oscillators and converters. Battery-driven IoT devices can hardly sustain years of life-cycle goal even with infrequent transmission and optimized low-power protocols. Thus, sustainable energy consumption is another challenge. With tens of billions of IoTs desire for connectivity by 2030, there is a pressing need to address both SE and energy efficiency (EE) challenges to accommodate for such densified IoT networks. This research seeks to improve SE and EE performance while providing guaranteed quality of service (QoS) for IoTs at large-scale, thereby providing a feasible and practical connectivity solution in massive IoT era. Outcomes from this project can bring following impacts: 1) a hybrid and cooperative communication architect for IoTs, which combines benefits from both active and passive mode; 2) integration of research and curriculum design, capstone projects to both undergraduate and graduate students; 3) cutting-edge research experiences to a primarily undergraduate institution (PUI). The core approach is to enable IoT device with a wireless-powered hybrid communication structure that can not only minimize energy footprint with energy harvesting from ambient signals, but also integrate coordinated passive and active communication to support versatile QoS needs with efficient spectrum utilization through user cooperation. This project offers a holistic solution to deliver following innovations. 1) A novel PHY transmission architect. It combines a bio-inspired symbiotic radio to coordinate excessive interference. Optimization problems for SE and EE metrics are introduced from PHY resource allocation perspective. 2) The co-designed MAC layer protocol to ensure proper user and resource coordination. Two protocols will be introduced, one for maximum performance and the other for lower complexity. 3) System validation with software and hardware implementations. Extensive experimental verification is designed to systematically validate the performance of proposed schemes and algorithms.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": 1385, "pages": 1424, "count": 14236 } } }