Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1391&sort=-end_date
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-end_date", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1419&sort=-end_date", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1392&sort=-end_date", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1390&sort=-end_date" }, "data": [ { "type": "Grant", "id": "14500", "attributes": { "award_id": "2213394", "title": "LEAPS MPS: The Erdos-Ko-Rado Property of Well-Covered Graphs", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "WORKFORCE IN THE MATHEMAT SCI" ], "program_reference_codes": [], "program_officials": [ { "id": 8065, "first_name": "Tomek", "last_name": "Bartoszynski", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-01", "end_date": null, "award_amount": 249343, "principal_investigator": { "id": 31139, "first_name": "Jessica", "last_name": "De Silva", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2469, "ror": "", "name": "California State University-Stanislaus", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Many types of relations and processes, including physical and social systems, can be modeled using a graph. Graph models of such systems tend to be very large, requiring mathematical techniques that can extract global information from the graph at the smaller, local level. Extremal graph theory can be thought of as the study of how global properties of a graph influence its local structure. The aim of this project is to investigate questions in extremal graph theory, particularly those that relate to a well-known extremal set theory result called the Erdos-Ko-Rado theorem. Undergraduate student researchers at the PI’s Hispanic-serving institution will work in pairs to take on parts of this project. These students will have the opportunity to learn how to leverage their individual strengths while conducting cutting-edge research. Additionally, a colloquium series will be established within this project to connect students and faculty in the PI’s department to high-impact role models in the mathematical sciences.<br/><br/>The Erdos-Ko-Rado (EKR) theorem is a pivotal result in extremal set theory that gives an upper bound on the number of sets of a fixed size that are pairwise intersecting. Of particular interest is the straightforward construction of an intersecting family that attains this bound by collecting all sets of the specified size that contain some fixed element. In 2005, Holroyd, Spencer, and Talbot formulated an EKR property for graphs related to intersecting families of independent sets. This property has a corresponding construction, called an r-star, that takes all independent sets of size r containing a fixed vertex of the graph. A graph is called r-EKR if the maximum size of an intersecting family of size r independent sets is equal to the size of the largest r-star in the graph. This project aims to study the r-EKR property, and related concepts, for certain classes of graphs.<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": "14501", "attributes": { "award_id": "2212860", "title": "LEAPS-MPS: Entanglement, Transport and Collective Effects in Few-Photon Many-Emitter Chiral Waveguide Quantum Electrodynamics", "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": [ { "id": 1997, "first_name": "Kathleen", "last_name": "McCloud", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-01", "end_date": null, "award_amount": 192077, "principal_investigator": { "id": 31140, "first_name": "Imran", "last_name": "Mirza", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 183, "ror": "https://ror.org/05nbqxr67", "name": "Miami 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). The requirement of establishing a strong coupling between light (quantized electromagnetic radiation) and single atoms (quantum emitters) is ubiquitous in the fundamental studies of light-matter interaction at the smallest scale. Typically, this interaction is simplified to a scenario of single-mode fields trapped inside optical cavities and coupled with a single atom. However, the recent advancements in quantum computing and quantum networking are requiring the coherent control of 100-1000 quantum bits (qubits) with the possibility of reliable quantum communication over 100s kilometers. In this context, multiple-emitter waveguide quantum electrodynamics (one-dimensional waveguides/fibers strongly coupled with a chain of atoms) has emerged as a fascinating platform due to its ability to host several useful quantum effects (such as quantum correlations e.g., entanglement, atom-photon bound state formation, one-way light-matter interaction or chirality, controlled photon transport, and collective photon emission, etc.) in a single setup. This project aims to study one-way or chiral waveguide quantum electrodynamics architectures as a testbed to investigate many-body quantum optical effects under the influence of environmental interactions. The completion of this project will result in the development of more powerful theoretical and numerical tools that will go beyond the typical single-atom single-mode field interaction paradigm of quantum optics and will be suitable for the examination of the state-of-the-art and futuristic quantum technological devices. The project includes the development of a two-year program of integrating research and education in quantum optics and quantum information science (QIS) in the Physics Department at Miami University. With the growing interest and investment in the National Quantum Initiative, there is a demand for training the next generation of workforce in QIS. This award will offer such training opportunities by engaging historically underrepresented students through direct outreach at the high school and undergraduate levels. To further extend the outreach program, the PI will develop online and face-to-face modules accessible to high school students through the Miami University Summer Scholar Program and undergrad students through the Miami University eLearning department.<br/> <br/>In particular, the proposed research here aims to: (1) perform an in-depth theoretical study of the quantum transport properties of few (one, two, or three)-photon Fock states in chiral waveguides that are simultaneously coupled with several noisy quantum emitters, and to (2) analyze the generation and control of several types of quantum effects such as entanglement between emitters, collective emitter effects (superradiance, subradiance, selective radiance), and emitter-cavity bound states, etc. Open quantum system approaches (Markovian and non-Markovian master equations, real-space quantization technique, and quantum jump approach) will be utilized to quantify the photon transport in terms of reflection and transmission spectra, second-order correlation functions as well as to predict the time evolution of emitter- waveguide systems. At every stage of the project, the connection of the results obtained with the experimentally feasible applications in quantum information transfer, storage, and processing protocols will also be emphasized. Additionally, while accomplishing the goals of the project, the PI will train a group of two graduate and six undergraduate students in quantum information science at Miami University. The PI will also introduce concepts of quantum computation in various undergraduate-level physics courses and will offer quantum computing modules for underrepresented groups of high school students through the Miami University Summer Scholar Program.<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": "14502", "attributes": { "award_id": "2213274", "title": "LEAPS-MPS: Fast and Efficient Novel Algorithms for MHD Flow Ensembles", "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": [ { "id": 6669, "first_name": "Yuliya", "last_name": "Gorb", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-01", "end_date": null, "award_amount": 248180, "principal_investigator": { "id": 31141, "first_name": "Muhammad", "last_name": "Mohebujjaman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1318, "ror": "https://ror.org/028861t28", "name": "Texas A&M International University", "address": "", "city": "", "state": "TX", "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). The relative movement of an electrically conducting fluid (e.g., liquid metal coolant, saltwater, ionized gases, or plasmas) in a magnetic field is important as it has many applications in, e.g., nuclear reactors, artificial suns to produce carbon-free electricity, artificial hearts, magnetohydrodynamic (MHD) pumps, and geomagnetic dynamos. The accurate numerical simulation of the interaction between the velocity field of the fluid and the magnetic field is often computationally challenging, arduous, and prohibitively expensive even with the use of an advanced computing facility. This is because the two fields are non-linearly coupled. Moreover, many practical flows occur in a convection-dominated regime and their numerical simulations using standard algorithms produce numerical instability. The scenario is exacerbated by the presence of noise in the input data. The involvement of input uncertainties reduces the accuracy of the final solutions. Therefore, it is important to develop long-range high fidelity numerical algorithms for simulating such a complex problem. First, this project will investigate efficient ensemble schemes for simulating incompressible flow problems (without the presence of a magnetic field). Second, this project will focus on understanding the numerical instability and develop robust, efficient, and accurate algorithms for simulating complex flow problems where velocity and magnetic fields interact. This project will facilitate the teaching and training of students from underrepresented groups to pursue their careers in STEM fields. This will be carried out by supporting and supervising undergraduate and graduate students' research in numerical analysis and scientific computing.<br/><br/>The focus of this project is to understand the numerical instability in the uncertainty quantification (UQ) of Navier-Stokes (N-S) and MHD flow simulations. The objective of this project is to develop, analyze, and test robust, and efficient novel algorithms of N-S and MHD flow ensembles simulations. The first research goal is to develop and investigate an efficient Stabilized Penalty-projection Finite Element Method (SPP-FEM) for the UQ of fluid flow simulations. The SPP-FEM is presented in an elegant way that at each time-step, it permits a shared system matrix for each realization in conjunction with a stabilized penalty-projection step. It is conjectured that the scheme will be unconditionally stable with respect to the time-step size and would be much faster and more computationally efficient than standard numerical methods. The second research goal is to develop a Proper Orthogonal Decomposition (POD) based Reduced Order Modeling (ROM) stabilized Evolve-Filter-Relax Stochastic Collocation ROM (EFR-SCM-ROM) algorithm to deal with the numerical oscillations, which commonly arise in ROM of the UQ of MHD flow ensembles. The EFR-SCM-ROM algorithm approximates the randomness of the parameters using stochastic collocation methods (SCMs) and uses a high-order ROM spatial differential filter in conjunction with an evolve-then-filter-then-relax scheme to attenuate the numerical oscillations of standard ROMs. The new EFR-SCM-ROM framework yields accurate approximations, minimizes the sensitivity of noise in input data, and uses rigorous error estimates to determine practical parameter scaling. The SPP-FEM and EFR-SCM-ROM algorithms are innovative and considered novel approaches, which will enrich and revolutionize the computational methodology and platform for the numerical approximation of MHD flow ensembles. These studies will advance the knowledge base in the field of MHD flow ensembles and other fields of multi-physics problems, including Boussinesq systems.<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": "14503", "attributes": { "award_id": "2213207", "title": "LEAPS-MPS: Determining All the Contributions of Adrenodoxin to Cytochrome P450 Catalysis", "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": [ { "id": 4073, "first_name": "Anne-Marie", "last_name": "Schmoltner", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-01", "end_date": null, "award_amount": 249840, "principal_investigator": { "id": 31142, "first_name": "Michael", "last_name": "Reddish", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 426, "ror": "https://ror.org/051m4vc48", "name": "Appalachian State University", "address": "", "city": "", "state": "NC", "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). In this project, funded by the Mathematical and Physical Sciences Directorate and housed in the Chemistry Division, Professor Michael Reddish and his students at Appalachian State University will investigate how a group of proteins, called ferredoxin proteins, enable cytochrome P450 enzymes to catalyze a wide range of chemical reactions in animals, plants, fungi, bacteria, and archaea. Cytochrome P450 enzymes naturally play a role in the metabolism of drugs, steroids, and other chemicals. Understanding how cytochrome P450 enzymes work enables the design of new medicines and more environmentally friendly industrial processes. Professor Reddish will also utilize resources from this project to: (1) Pay undergraduate students so they can meet their financial needs through research instead of external jobs; (2) Develop a new way to teach introductory chemistry that focuses on cohort-building so that all students feel welcome in science; and (3) Co-lead a course-based undergraduate research experience (CURE) in the upper-level biochemistry lab at Appalachian State University. These activities will enable more students to learn about research and encourage students with diverse histories to become researchers.<br/><br/>Professor Reddish proposes to focus on the interactions of human cytochrome P450 27A1 and the human ferredoxin protein adrenodoxin. It is known that ferredoxin proteins supply electrons to cytochrome P450 enzymes. Evidence from various researchers suggests adrenodoxin may further promote catalysis in other ways. The project will include a structural approach to determine if adrenodoxin promotes catalysis by forcing the enzyme to a more “active” shape. The project will also test to see if adrenodoxin changes the functionality of the enzyme by altering ligand binding to the enzyme or altering reactivity of molecular oxygen utilized by the enzyme. It is proposed that a clear understanding of all roles of adrenodoxin in cytochrome P450 27A1 catalysis will allow for a better understanding of how other ferredoxins enable cytochrome P450 catalysis from a wide variety of sources and how their reactivity can be modified.<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": "14504", "attributes": { "award_id": "2213365", "title": "LEAPS-MPS: Nanopatterning Nitride Based Nanostructures Using Sequential Infiltration Synthesis for Optoelectronic Applications", "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": [ { "id": 30222, "first_name": "Nazanin", "last_name": "Bassiri-Gharb", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-01", "end_date": null, "award_amount": 179285, "principal_investigator": { "id": 31143, "first_name": "Mahua", "last_name": "Biswas", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 901, "ror": "", "name": "Board of Trustees of Illinois State University", "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). <br/><br/>Non-Technical Summary:<br/>Optoelectronic devices, including photodetectors, solar cells, and light-emitting diodes (LEDs), are essentially energy conversion devices which converts light to electricity or vice versa. These devices are used in many aspects of modern life such as telecommunication, energy, consumer electronics, and solid-state lighting. Most commonly the active material in optoelectronic devices are Gallium Nitride (GaN) or Aluminum Nitride (AlN). These materials have attracted significant attention and are of great interest because of their emission in ultraviolet (UV) and visible wavelengths. Nanostructures of nitride materials are not as common as planar structures which are currently used in commercial devices, but they could enable future devices with novel functionalities. With this award from the LEAPS-MPS program researchers at Illinois State University develop nanopatterns of AlN and GaN by using a synthesis approach called Sequential Infiltration Synthesis (SIS). SIS allows them to investigate the growth mechanism of the nitride materials as well as optical properties of nanostructures with different shapes morphologies. In addition to this research being of great interest to the semiconductor industry, the project also enhances the undergraduate education at a primarily undergraduate institution because students can participate in cutting-edge experimental research, which provides hands-on synthesis and characterization opportunities. This effort also broadens the semiconductor workforce by integrating research results into the physics curriculum as part of an upper-level experimental physics courses. The recipient of this award, an early career female faculty member is a role model for female and minority students, encouraging them to choose STEM careers.<br/> <br/>Technical Summary:<br/>In the field of optoelectronic research, group III nitrides such as AlN and GaN have gained significant attention over last few decades due to their stabilities and as a wide band gap semiconductor with emission in the ultraviolet and visible ranges. The planar structured nitride materials currently used in commercial devices come with limitations such as defects and dislocations due to lattice mismatch with available substrates which consequently limit the performance of the resulting devices, high temperature requirements limiting choice of substrates and the dimensions are not suitable for futuristic nanoscale devices. For emerging devices, the concerns related to planar structures can be alleviated by employing nanostructures of these materials. However, fabrication methods of nanostructured nitride materials are still in infancy and current approaches are complex and multi-step processes. Significant improvements and a fundamental understanding are needed regarding the growth of nitride nanostructures and subsequent long-range patterning of these nanostructures. With this award from the LEAPS-MPS program the researchers synthesize AlN and GaN nanorod patterns using nanostructured block copolymer (BCP) templates and an inorganic deposition method called Sequential Infiltration Synthesis (SIS). The SIS process involves infiltration of gas phase molecules into soft polymeric materials. This project investigates the SIS growth mechanism for nitride materials using Fourier Transform Infrared Spectroscopy (FTIR) as well as other physical, structural and optical characterization techniques. These and other methods, including scanning electron microscopy (SEM), energy dispersive x-ray spectroscopy (EDX), X-ray diffraction (XRD), photoluminescence (PL) and photoluminescence excitation (PLE) spectroscopy, and cathodoluminescence (CL) imaging, are used to study the resulting nanostructures. The proposed work opens up new avenues of research to realize nitride nanomaterial growth and patterning using SIS as a facile and cost-effective method.<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": "14505", "attributes": { "award_id": "2203042", "title": "PostDoctoral Research Fellowship", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "Workforce (MSPRF) MathSciPDFel" ], "program_reference_codes": [], "program_officials": [ { "id": 2352, "first_name": "Stefaan De", "last_name": "Winter", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-01", "end_date": null, "award_amount": 150000, "principal_investigator": { "id": 31144, "first_name": "Claire", "last_name": "Frechette", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2470, "ror": "", "name": "Frechette, Claire E", "address": "", "city": "", "state": "MN", "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). This award is made as part of the FY 2022 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Claire Frechette is \"Whittaker Coefficients for Metaplectic Unitary Groups.\" The host institution for the fellowship is Boston College, and the sponsoring scientist is Solomon Friedberg.<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": "14506", "attributes": { "award_id": "2141922", "title": "CAREER: Microbial regulation of plant coexistence and invasive dominance: changes with environmental stress", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "Population & Community Ecology" ], "program_reference_codes": [], "program_officials": [ { "id": 2013, "first_name": "Betsy Von", "last_name": "Holle", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-06-01", "end_date": null, "award_amount": 900734, "principal_investigator": { "id": 31145, "first_name": "Emily", "last_name": "Farrer", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 305, "ror": "https://ror.org/04vmvtb21", "name": "Tulane University", "address": "", "city": "", "state": "LA", "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).<br/><br/>Thousands of microorganisms (e.g., fungi, bacteria) live in soil, in and around plant roots. We know that these microbes impact plant health in both positive and negative ways – some microbes help plants take up nutrients, others cause disease. Environmental change can shift plant-microbe interactions in ways that may have negative consequences for plant diversity and exacerbate species invasions. Wetlands are globally important for carbon sequestration (removal of CO2 from the atmosphere), protecting coastal cities from hurricanes, and as nursery habitat for fisheries. A severe threat to wetlands is saltwater intrusion, where saline water moves inland due to sea level rise. The biota in these systems may not be adapted to prolonged, high salinity levels and so this project will investigate how saltwater intrusion affects plant-microbe interactions with consequences for plant coexistence and invasion of Gulf Coast marshes. Competitive interactions among plants also influence coexistence and invasion and will likely shift with elevated salinity, and so the research will compare the relative importance of competitive vs. microbial interactions in driving plant community responses to saltwater intrusion. Data collection and analysis will be integrated with a high school summer course, an undergraduate service-learning course, a graduate statistics course, and this project will provide training opportunities for graduate and undergraduate researchers. A deeper understanding of how plant-microbe interactions, plant diversity, and the growth of invasive species will be affected by changing environmental conditions is important for managing our natural resources and making predictions of future change.<br/> <br/>The proposed research will elucidate how plant-microbe interactions influence biodiversity and invasion under conditions of environmental change. It utilizes and extends the Plant-Soil Feedback (PSF) research framework which has become enormously effective for studying plant-microbial interactions and their effect on plant community coexistence and invasion outcomes. The project studies the ubiquitous wetland invader Common Reed (Phragmites australis) as its model invasive species. First, the proposed research will test how salinity affects plant-fungal and plant-bacterial interactions and feedbacks in coastal marshes using a field survey and feedback experiment combined with next generation amplicon sequencing. Second, the proposed work will apply modern coexistence theory to the PSF framework to partition how salinity alters competitive and microbially-mediated coexistence mechanisms. Third, the proposed work will extend PSF theory in a novel way by explicitly modeling microbial taxa in a three-year, outdoor, mesocosm experiment using linked plant-microbial population models to assess the timescales over which specific plant-microbe interactions play out to influence community structure and invasion. New modeling techniques will be developed to pinpoint the particular microbes that are causing plant community change, a difficult task due to the incredible biodiversity of microorganisms.<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": "14507", "attributes": { "award_id": "2052844", "title": "EAR-PF: Impact of flooding intensity on levee development and dynamics", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "XC-Crosscutting Activities Pro" ], "program_reference_codes": [], "program_officials": [ { "id": 9801, "first_name": "Aisha", "last_name": "Morris", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-06-01", "end_date": null, "award_amount": 174000, "principal_investigator": { "id": 31146, "first_name": "Eric", "last_name": "Barefoot", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2471, "ror": "", "name": "Barefoot, Eric A", "address": "", "city": "", "state": "TX", "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).<br/><br/>Dr. Eric Barefoot has been granted an NSF EAR Postdoctoral Fellowship to carry out research and education plans at Indiana University. Dr. Barefoot will study flooding, a significant natural hazard that threatens critical infrastructure and communities in the US and across the world. Artificial embankments (or dikes) along river corridors are often constructed to reduce flooding hazards and these engineering projects often take advantage of natural levees on the floodplain. Levees form next to a river channel when the river floods and sediment spreads out away from the river. Because levee formation correlates poorly with river attributes, it remains challenging to predict where and when levees will form. This project seeks to test a new hypothesis: that the intensity of floods is a key control on levee formation. By combining analysis of floodplains across the State of Indiana with monitoring on the Lower Mississippi River, this project will determine the importance of flood intensity for levee formation. Dr. Barefoot will also identify processes by which sediment is transported on river floodplains during floods. These research outcomes will be coupled with an educational outreach plan that focuses on engaging public-school educators to produce new curriculum focused on flood hazards and sustainability in Indiana. Additionally, this project will bolster STEM engagement for LGBTQ+ undergraduate students through local field-based research opportunities. <br/><br/>Natural levees form and develop during overbank flow, when sediment-laden water decants from the river, and deposits adjacent to the channel. The pattern of sediment deposition is controlled by water surface gradients across the inundated floodplain. The orientation and mag- nitude of water surface gradients are hypothesized to depend on flooding intensity; operationally defined here as the coefficient of variation of discharge (CVQ). However, the impact of flooding intensity on floodplain deposition is poorly constrained because direct observations of co-evolving floodplain topography and inundation hydraulics are scarce. This project will quantify the impact of flooding intensity on floodplain inundation patterns and analyze how resulting water surface gradients influence levee formation and development. This research will combine repeat lidar datasets with field surveys and sedimentological observations on floodplains in Indiana, USA, to compare levee morphology and composition spanning a range of historical flooding intensities. To link flooding intensity and sediment dispersal in a mechanistic framework, a complementary case study will be conducted in an end-member locality typified by low flooding intensity. In-situ measurements of water surface elevation and velocity during annual overbank conditions in an engineered section of the Mississippi River will be paired with repeat lidar topography surveys to couple inundation hydraulics with topographic evolution. New insights from this project will fill a critical research need because intensified flooding due to contemporary climate change threatens sustainability of river corridors. The scientific outcomes will inform land management strategies while also driving fundamental advances in sedimentology and geomorphology.<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": "14508", "attributes": { "award_id": "2152768", "title": "CRII: CNS: Integrating Security Tasks into Multicore Real-Time Systems", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "CSR-Computer Systems Research" ], "program_reference_codes": [], "program_officials": [ { "id": 5186, "first_name": "Jason", "last_name": "Hallstrom", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-06-01", "end_date": null, "award_amount": 175000, "principal_investigator": { "id": 28490, "first_name": "Monowar", "last_name": "Hasan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 931, "ror": "https://ror.org/00c4e7y75", "name": "Wichita State University", "address": "", "city": "", "state": "KS", "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).<br/><br/>Many critical systems of modern society (e.g., engine control units in automobiles, logic controllers in manufacturing and power plants, aircraft control and navigation systems, industrial control systems, sensing and perception systems in robot-aided healthcare) have \"real-time\" (i.e., strict timing and safety) requirements. Emerging Internet-of-things-specific applications (e.g., connected autonomous cars, unmanned aerial vehicles), the trending use of off-the-shelf components, and widespread Internet/network connectivity expand the possibility of security breaches in those critical systems, as revealed by recent real-world attacks. The key innovation of this research is the development of a unified framework to integrate monitoring and detection mechanisms as first-class elements within the design of real-time systems, especially those built with multicore chips. This project will (a) devise novel algorithms, scheduling models, and frameworks to integrate security into multicore platforms that are cognizant of real-time requirements, (b) build design-time tools and system-level plugins to incorporate the proposed techniques into off-the-shelf systems, and (c) develop metrics to carefully trade-off two contending requirements: timeliness and security. The ideas will be validated through experimentation and testing on two off-the-shelf platforms: a multi-terrain rover and a six-degree-of-freedom robotic arm.<br/><br/>This research will advance the field by enabling system designers to better understand how to integrate security concerns, with a focus on revealing security trade-offs to ensure minimal (or no) perturbations on real-time properties. Techniques developed as part of this project will make safety-critical, real-time systems more secure and applicable to various domains (e.g., automobiles, avionics, drones, space rovers, power grids, manufacturing plants, medical devices, industrial control systems). The proposed research and educational plans will enhance the knowledge of the next-generation technological workforce in cyber-physical systems and cyber-security. This award supports the training of graduate and undergraduate students, the development of a new security course at Wichita State University, and the integration of research findings into educational materials. All hardware, software, and system implementations (including documentation and tutorials) will be freely available in a public repository (https://github.com/CPS2RL) for educators, scientists, industry personnel, and hobbyists to access and use.<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": "14509", "attributes": { "award_id": "2150505", "title": "REU Site: Using Data Science Tools to Improve Neighborhoods", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "RSCH EXPER FOR UNDERGRAD SITES" ], "program_reference_codes": [], "program_officials": [ { "id": 1351, "first_name": "Josie Welkom", "last_name": "Miranda", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-04-01", "end_date": null, "award_amount": 349095, "principal_investigator": { "id": 31148, "first_name": "Lynne", "last_name": "Stokes", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 31147, "first_name": "Jennifer L", "last_name": "Ebinger", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 370, "ror": "https://ror.org/042tdr378", "name": "Southern Methodist University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "This project is funded from the Research Experiences for Undergraduates (REU) Sites program in the Directorate for Social, Behavioral, and Economic (SBE) Sciences. This program will engage students in exploration of economic, environmental, and infrastructure challenges in Dallas, Texas, using publicly available data sources. The eight-week program will begin with a three-week period of lectures in social science theory and research methods, including place-based economics, data collection methodologies and sources, and data ethics. Simultaneous technical workshops will equip students with skills in coding, data wrangling, and use of mapping software. Each participant will then join a research team focused on measuring variability or mitigating disparities across urban neighborhoods. The objectives of the REU site are to provide students with expertise in data science methods and tools for studying problems affecting small geographies; to increase interest in data science and the likelihood that participating students will pursue graduate studies in a related field, especially for students underrepresented in these fields; to engage students in research that requires interdisciplinary skills and knowledge; and to increase collaboration across disciplinary boundaries for both faculty and students, and between university researchers and community partners.<br/><br/>Examples of research team topics are: (a) assessing the fairness of county polling place locations; (b) describing the change in urban heat island locations and intensity over time, as well as its proximity to neighborhoods; (c) evaluating economic development, workforce development, and affordable housing interventions in small urban areas; and (d) educating and empowering neighborhoods near toxic chemical waste sites using data-driven findings. To address its questions, each team will use specialized methodologies and tools, which the students will be exposed to under the supervision of their mentoring faculty and graduate student team. The methodologies will vary by problem, but collectively include causal inference, complex survey design and analysis, clustering and prediction, data visualization and storytelling, and human-centered design. The research findings will be shared in a university-wide three-minute thesis contest for all summer undergraduate researchers, and an opportunity to publish a paper in the universities Journal of Undergraduate Research. Besides the participants’ direct contribution to these studies, the data products they produce by retrieving, wrangling, and curating the public data will make a valuable contribution to a collective data resource about Dallas, which can be shared with local researchers.<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 } } ], "meta": { "pagination": { "page": 1391, "pages": 1419, "count": 14184 } } }