Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1406&sort=funder_divisions
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=funder_divisions", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=funder_divisions", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1407&sort=funder_divisions", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1405&sort=funder_divisions" }, "data": [ { "type": "Grant", "id": "4894", "attributes": { "award_id": "1118459", "title": "2011 Biomaterials & Tissue Engineering Gordon Research Conference", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "BIOMATERIALS PROGRAM" ], "program_reference_codes": [], "program_officials": [], "start_date": "2011-06-01", "end_date": "2012-05-31", "award_amount": 8000, "principal_investigator": { "id": 17625, "first_name": "Joyce", "last_name": "Wong", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 17623, "first_name": "Shelly E", "last_name": "Sakiyama-Elbert", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 17624, "first_name": "Nancy R", "last_name": "Gray", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 226, "ror": "https://ror.org/05rad4t93", "name": "Gordon Research Conferences", "address": "", "city": "", "state": "RI", "zip": "", "country": "United States", "approved": true }, "abstract": "ID: MPS/DMR/BMAT(7623) 1108459 \tPI: Wong, Joyce ORG: Boston University\n\nTitle: 2011 Biomaterials & Tissue Engineering Gordon Research Conference\n\nINTELLECTUAL MERIT: Biomaterials- and tissue engineering-based strategies and approaches are central for the successful performance of numerous biomedical devices. The theme of the 2011 Gordon Research Conference on Biomaterials & Tissue Engineering is ?The Path from Basic Science and Engineering to Translational Medicine.? It focuses on applying basic science and engineering principles in diverse settings including developmental biology, materials science, and nanotechnology with the goal of solving important clinically relevant biomedical problems. The program will provide a cutting-edge scientific program and discussion forum that focuses on specific fundamental and applied science and engineering challenges that, when overcome, will facilitate the translation of biomaterials and tissue engineering technologies to clinical medicine. The program serves both to educate the biomaterials and tissue engineering communities in the highly relevant field of developmental biology and to stimulate discussion in current approaches from both materials science and engineering and biological perspectives.\n\nBROADER IMPACTS: In the spirit of the Gordon Research Conferences, this conference seeks to bring together speakers and discussion leaders at the forefront of their field with other prominent investigators, junior attendees, and researchers from underrepresented groups. This diverse group of speakers, discussion leaders, and poster presenters who represent different fields of study (e.g. clinical investigators, basic scientists and engineers, and industrial researchers) can contribute to the advancement of the field of biomaterials and tissue engineering. Such interactions are critical for building research networks for researchers at all stages of their career and play a key role in developing future leaders in the field of biomaterials science and engineering. The discussion leaders and speakers were selected to represent the gender, ethnic, and cultural (i.e. researchers from non-US institutions ? 6 non-US countries represented) diversity in the biomaterials and tissue engineering fields. In accordance with Gordon Research Conference policies, there are no formal publications; however, the GRC format provides a stimulating environment to disseminate new ideas and to establish new and continue existing collaborations/interactions. This year?s program has 19 out of 41 discussion leaders and speakers who are women and/or from underrepresented minority groups; 6 are assistant professors. Selection of attendees from the pool of applicants will adhere to principles of affirmative action with respect to minority groups, women, and junior scientists in addition to the date of application and the scientific background of the applicant.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "5185", "attributes": { "award_id": "0938713", "title": "Washington ACS Meeting: Washington, DC; August 16-19, 2009", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "BIOMATERIALS PROGRAM" ], "program_reference_codes": [], "program_officials": [], "start_date": "2009-08-15", "end_date": "2010-07-31", "award_amount": 3500, "principal_investigator": { "id": 18389, "first_name": "Ting", "last_name": "Xu", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 176, "ror": "", "name": "University of California-Berkeley", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 176, "ror": "", "name": "University of California-Berkeley", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "ID: MPS/DMR/BMAT(7623) 0938713 PI: Xu, Ting ORG: California-Berkeley \n\nTitle: Washington ACS Meeting\n\nINTELLECTUAL MERIT: This proposal seeks support for travel awards for graduate students, post-docs, and underrepresented faculty to attend the symposium on ?Hybrid Soft Materials of Natural and Synthetic Polymers? at the Fall ACS national meeting in Washington, D.C., August, 16-19, 2009 in the Division of Polymeric Materials: Science and Engineering. The organizers aim to capture recent developments and present research in both well-developed stages and in new directions. The proposed symposium is divided into four specific focus areas: (1) Peptide-directed self-assembly, (2) Amphiphilic peptides, conjugates and assemblies, (3) Hybrid responsive biomaterials, (4) Hierarchical assemblies toward biomaterials. The threefold objectives of the symposium are: (1) to highlight recent advances in the design, synthesis, phase behavior and application of hybrid soft materials combining polymers and natural building blocks, (2) to provide a platform for the polymer chemist, polymer physicist, material scientist and bioengineer to establish connections and exchange ideas, (3) to facilitate opportunities for minority and junior faculty, postdoctoral fellows, and graduate students to present their most recent research results and extend their horizon and knowledge base of hybrid materials. This symposium will provide opportunities for both leaders and young investigators working in these focus areas to share their recent advances, ideas, challenges, and solutions with the expectation that approaches being developed in one area can directly impact and facilitate advances in the others. In addition, the integration of polymer scientists, biophysicists and engineers, who may approach material design in different manners, may facilitate more rapid advancement of these technologies. Finally, the format of the symposium is intended to facilitate discussion among all scientists in attendance.\n\nBROADER IMPACTS: Because the symposium is under the auspices of the ACS Division of Polymer Materials Science and Engineering (PMSE), every oral presentation will be accompanied by a two page abstract in PMSE Preprints. These abstracts contain pertinent references and significantly support the impact of the oral presentation. Younger scientists and those from underrepresented groups will benefit from the opportunity not only to meet one another but to hear from and meet international leaders in the field. The symposium has a strong interdisciplinary character and will stimulate discussions among participants with a variety of scientific backgrounds.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "5351", "attributes": { "award_id": "0904257", "title": "2009 Gordon Research Conference on Thin Film and Crystal Growth Mechanisms; New London, NH; Summer 2009", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "BIOMATERIALS PROGRAM" ], "program_reference_codes": [], "program_officials": [], "start_date": "2008-12-15", "end_date": "2009-11-30", "award_amount": 5000, "principal_investigator": { "id": 18778, "first_name": "Jonah", "last_name": "Erlebacher", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [ { "id": 226, "ror": "https://ror.org/05rad4t93", "name": "Gordon Research Conferences", "address": "", "city": "", "state": "RI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 226, "ror": "https://ror.org/05rad4t93", "name": "Gordon Research Conferences", "address": "", "city": "", "state": "RI", "zip": "", "country": "United States", "approved": true }, "abstract": "ID: MPS/DMR/BMAT(7623) 0904257 PI: Erlebacher, Jonah ORG: Gordon Research Conferences\n\nTitle: 2009 Gordon Research Conference on Thin Film and Crystal Growth\n\nINTELLECTUAL MERIT: The 2009 Gordon Research Conference on Thin Films and Crystallization addresses the fundamental issues underlying processes associated with crystal growth, which is central to a broad array of technologies. The conference will attract scientists from a wide range of disciplines, from semiconductor thin film growth to biocrystallization and crystallization for pharmaceutical drug delivery. Sessions devoted to the following timely topics are included: crystal surface morphology and kinetics, low dimensional crystals, fundamentals of crystal nucleation and growth, large biomolecule crystallization, biocrystallization and biomineralization, organic electronics, advanced electron microscopy, and structure function relationships on catalytic crystal surfaces. These topics intersect the portfolios of the NSF Biomaterials and Solid State and Materials Chemistry programs, which will provide partial support for the Conference..\n\nBROADER IMPACTS: The Gordon Research Conferences have a long standing reputation for providing an informal atmosphere for intimate scientific exchange among scientists from around the world. The plans for this conference fit this mold very well. The Vice-Chair and at least 6 of the 19 invited speakers are females. Participation in the Conference is by invitation, and the organizers describe a plan to ensure participation from a diverse selection of scientists, including especially women, racial and ethnic minorities, persons with disabilities, and others from groups that have been traditionally underrepresented in science. NSF support will help to facilitate participation by young scientists who might otherwise be unable to attend. The organizers have given due attention in the expenditure of support funds provided to further the NSF goals of broadening participation and integration of research and education.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "2760", "attributes": { "award_id": "1907184", "title": "NSF Postdoctoral Fellowship in Biology FY 2019: Viruses: Architects of Microbial Community Metabolism", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Broadening Participation of Gr" ], "program_reference_codes": [], "program_officials": [ { "id": 8170, "first_name": "Daniel", "last_name": "Marenda", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-08-01", "end_date": "2023-07-31", "award_amount": 207000, "principal_investigator": { "id": 8171, "first_name": "Kalia", "last_name": "Bistolas", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 944, "ror": "", "name": "Bistolas, Kalia", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 944, "ror": "", "name": "Bistolas, Kalia", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "This action funds an NSF Postdoctoral Research Fellowship in Biology for FY 2019, Broadening Participation of Groups Under-represented in Biology. The fellowship supports a research and training plan for the Fellow that will increase the participation of groups underrepresented in biology. The Fellow will explore the interface between viruses, their microbial hosts, and human-driven changes in marine nutrients. Viruses are the most abundant biological entities on the planet yet cannot multiply without cellular hosts, including microbes. Viruses manipulate the metabolism of the microbes that they infect through numerous mechanisms, which has consequences for global nutrient cycling. One way that viruses modify microbial activities is by genetically altering microbial metabolism to better suit viral replication and this can also alter the way that microbes utilize key nutrients, including nitrogen. Nitrogen is a fundamental chemical in oceans and an essential component of all organisms. Human activities have increased the deposition of nitrogen into natural ecosystems five-fold over the last century. This influx alters the composition and function of microbial communities. The goal of this research is to understand how the genetics of viruses contributes to microbial metabolism to better predict how microbial communities respond to human-driven nutrient increases. The Fellow will also enhance inclusivity in science by working with students from underrepresented groups, including students with disabilities.\n\nThis project targets an aggregate portrait of virus-encoded auxiliary metabolic gene (AMG) repertoires and host-virus dynamics in nitrate/urea-replete marine ecosystems using a multidimensional sequencing approach. By coupling in situ experimentation with in silico analysis of coexisting viral and cellular consortia, this research aims to resolve the significance of nitrogen amendment on (1) microbial community turnover and putative metabolic capacity, (2) composition and distribution of virus-encoded AMGs, and (3) microbial transcription of pathways involved in host-virus interactions. The experimental design expects to differentiate between short- and long-term impacts of eutrophication, providing both baseline information about AMG dynamics and stability under transitional conditions. As integral members of aquatic ecosystems, viruses govern microbial diversity, evolution, and metabolism; it is imperative to investigate host-virus dynamics and virus-mediated proliferation of AMGs under anticipated future biogeochemical conditions. In addition to facilitating the Fellow's development of key bioinformatic and molecular skills, this program will enable international collaboration, improve inclusivity and integration of universal design at fieldwork sites, and engage individuals of underrepresented groups through curriculum design and mentorship.\n\nThis 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": "15648", "attributes": { "award_id": "2439345", "title": "CAREER: Intelligent Biomarker Analysis based on Wearable Distributed Computing", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "CAREER: FACULTY EARLY CAR DEV" ], "program_reference_codes": [], "program_officials": [ { "id": 12587, "first_name": "Juan", "last_name": "Li", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 340, "ror": "", "name": "North Dakota State University Fargo", "address": "", "city": "", "state": "ND", "zip": "", "country": "United States", "approved": true } ] } ], "start_date": "2025-04-01", "end_date": null, "award_amount": 503930, "principal_investigator": { "id": 32151, "first_name": "Juan", "last_name": "Patarroyo", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1024, "ror": "", "name": "University of Puerto Rico Mayaguez", "address": "", "city": "", "state": "PR", "zip": "", "country": "United States", "approved": true }, "abstract": "Some of the challenges associated with wearable technologies are the limitation on computational power, battery capacity, data privacy, user interface design, and the need for seamless integration into user lifestyles without causing discomfort. These challenges limit the on-device implementation of machine learning methods, which are suitable for classifying and estimating medical conditions based on the biomarkers sensed by the wearable devices. This research addresses these problems by developing a scheme that distributes the computational load of machine-learning models across wearable devices. Results from this research contribute to deploying advanced health monitoring tools for in-home care of frail populations, such as post-COVID patients. This is aligned with the NSF mission to promote the progress of science and advance national health. The development of this project involves multidisciplinary efforts from computer science, bioengineering, and electrical engineering, as well as educational activities with the participation of students from underrepresented groups. This project focuses on developing a wearable sensor network scheme with distributed and interconnected computing capabilities. As an application case, the wearable computing sensor network is aimed at biomechanics analysis for frail populations. The research plan is geared toward creating an advanced scheme of wearable devices to improve power consumption, data privacy, and computational performance for advanced health monitoring and analysis. To fulfill the strict requirements of size, computational load, and energy consumption, a novel distributed machine learning architecture is designed and deployed on each wearable sensor using field programmable gate arrays. The deployed architecture is a simplified version of the parallel-computing architecture found in commercial graphics processing units, which have been demonstrated to be suitable for machine-learning applications. In addition, this architecture contains additional hardware components for estimating missing data, synchronization, and addressing communication errors between the devices. This project addresses realistic challenges in biomedical and wearable technologies research, including (i) segmenting and training machine learning models considering the nature of biomechanical data and wearable inertial sensors without affecting accuracy, (ii) modeling a lightweight computer architecture for performing distributed machine learning inference in real time, (iii) estimating detailed body motion dynamics using a reduced amount of inertial sensors, and (iv) integrating reliable and state-of-the-art data analytics environments for efficient real-time analysis and visualization. The education plan tackles three major areas: (i) research training and competitive experiences for graduate and undergraduate students in the areas of computer science, computer architecture, and health-related areas, (ii) course development in topics related to edge computing, real-time systems, and machine learning applications to healthcare, and (iii) outreach to K-12 students and professionals by the introduction of competitive activities. Most of the students and contributors for this project are Hispanic, and this project supports broader access to and training in cutting-edge research in computational applications. 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": "5022", "attributes": { "award_id": "1019261", "title": "Us-UAE Workshop: \"Building MENA Women's Associations in Science and Technology, Abu Dhabi, United Arab Emirates", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Catalyzing New Intl Collab" ], "program_reference_codes": [], "program_officials": [], "start_date": "2010-07-01", "end_date": "2011-06-30", "award_amount": 49896, "principal_investigator": { "id": 17987, "first_name": "John", "last_name": "Cristiano", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 169, "ror": "", "name": "Regents of the University of Michigan - Ann Arbor", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true } ] }, "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": "OISE-1019261 \nThis award is for \nSummary: The proposal is for support of a U.S.-UAE workshop on building Science and Engineering \nAssociations for Women in Middle Eastern and North African (MENA) Countries scheduled for May 2-4, 2010 in Abu Dhabi, UAE. The project is a follow-up to the recently completed program ?Professional Mentoring of Women in Science and Engineering? funded by the State Department, which brought 19 Arab women from MENA countries to the University of Michigan-Dearborn (UM-Dearborn) for an 8 week fellowship for professional mentoring and to create a sustainable network between the women and their university and industry mentors. The workshop will include participants from the initial program, US engineering and natural science faculty, and other US and MENA academic and industry participants. There will be approximately 100 participants, including 10 female faculty members from the U.S. funded by this proposal. The US organizer is Dr: John Cristiano, of the UM-Dearborn\n\nIntellectual Merit: The workshop is to bring women in science and technology together to further and foster international collaborations and to build research and networking skills among the participants from the US and from the MENA region. The participants will identify best practices for forming collaborations including mentoring and industry interactions, and discuss ways to create science and engineering associations, and to stimulate technical collaborations between Institutions in MENA and the US. Topics to be discussed are IT, computer, civil and mechanical engineering as well as natural sciences. Participants will discuss global questions including network security and environmental issues. Recommendations will be made to adopt the most suitable potential research topics in the context of socio economic and environmental considerations. Establishment of a US-MENA ?Research Collaboration Opportunities? database is planned to foster future collaborations among workshop participants and other STEM women. The PI will prepare a report on the workshop to include recommendations for ?next steps? and a third-party evaluation of the program. \n \nBroader impacts: The workshop will increase the participation of women from both US and MENA countries. Increasing the participation of US female faculty will provide an opportunity for them to connect globally with women who share common research interests. It will serve as catalyst in the formation of associations to support potential research collaboration. The new association will help support research funding opportunities and sharing new research approaches and ideas. Dissemination of the information regarding research challenges, collaborative partners and funding opportunities will be shared on public website. Teaching women scientists and engineers how to build associations and international collaborations has the potential for very broad impacts within the researchers? home countries. The award funds will fund six senior and four junior scientists/engineers from the U.S. The workshop will help increase the number of female US faculty members participating in activities with the MENA region. This project is jointly funded by the Office of International Science and Engineering and the Program of Diversity and Outreach in the Directorate of Engineering.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "5444", "attributes": { "award_id": "0554749", "title": "U.S. Japan Workshop on Symbiotic Nitrogen Fixation", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Catalyzing New Intl Collab" ], "program_reference_codes": [], "program_officials": [], "start_date": "2006-03-15", "end_date": "2009-02-28", "award_amount": 52800, "principal_investigator": { "id": 18997, "first_name": "K. Dale", "last_name": "Noel", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [ { "id": 439, "ror": "https://ror.org/04gr4te78", "name": "Marquette University", "address": "", "city": "", "state": "WI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 439, "ror": "https://ror.org/04gr4te78", "name": "Marquette University", "address": "", "city": "", "state": "WI", "zip": "", "country": "United States", "approved": true }, "abstract": "OISE-0554749 \n(K. Dale Noel, Marquette University)\nU.S.-Japan Workshop on Symbiotic Nitrogen Fixation\n\n\nThis proposal, from Dale Noel of Marquette University, will organize a U.S.-Japan workshop titled Genomics, Molecular Mechanisms and Evolution of Symbiotic Nitrogen Fixation. The workshop, jointly organized with Professor Shigeyuki Tajima of Kagawa University, will take place outside Tokyo, Japan on August 15-19, 2006. Sixteen U.S. participants, including at least five graduate students and postdoctoral researchers, will join 11 Japanese researchers and their students for the meeting. Meeting sessions will explore the following topics: 1) bacterial genetic and genomic-proteomic approaches to understanding symbiosis; 2) evolution and horizontal phylogenetic distribution of plant-microbe associations; 3) biochemistry and molecular interactions during symbiotic development; 4) molecular genetics and genomics-proteomics of two model legumes; and 5) from model legumes to soybean and other crop legumes.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "15682", "attributes": { "award_id": "2531023", "title": "Collaborative Research: Optimized Testing Strategies for Fighting Pandemics: Fundamental Limits and Efficient Algorithms", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "CCSS-Comms Circuits & Sens Sys" ], "program_reference_codes": [], "program_officials": [ { "id": 26403, "first_name": "Huaiyu", "last_name": "Dai", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-01-01", "end_date": null, "award_amount": 274774, "principal_investigator": { "id": 26404, "first_name": "Jing", "last_name": "Yang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 517, "ror": "", "name": "University of Virginia Main Campus", "address": "", "city": "", "state": "VA", "zip": "", "country": "United States", "approved": true }, "abstract": "Large-scale high-throughput prevalence and diagnostic testing is essential for the containment and mitigation of pandemics. The testing bottleneck in the COVID-19 pandemic has led to a resurgence of interest in group testing, where several people's biological samples are mixed together and examined in a single test. When the rate of infection in the population is low, this method can significantly reduce the total number of tests per subject and increase the throughput of the existing testing infrastructure. However, traditional group testing has the following limitations: First, efficient group testing based methods for the estimation of prevalence have been largely overlooked in the literature. Second, traditional group testing usually assumes that the testing results are qualitative (positive versus negative), not quantitative (providing viral load information). Third, the theoretical study of group testing rarely takes practical constraints, such as the sensitivity of the pooled tests and the dilution effect, into consideration, which hinders the applicability of the testing schemes in practice. The goal of this project is to overcome these limitations of traditional group testing and design advanced pooled testing strategies for efficient prevalence tracking and accurate infection diagnosis. It will develop optimized pooled testing strategies with strong theoretical performance guarantees yet feasible and cost-effective in practice. The proposed research is organized in three research thrusts as follows. Thrust 1 aims to design effective sampling and testing algorithms to estimate the prevalence in communities and track its evolution, under scarce testing resource constraints. Thrust 2 focuses on the design of optimized pooling and decoding algorithms for compressed sensing based (COVID-19) virus diagnostic testing. Thrust 3 validates the accuracy and efficiency of the proposed pooled testing through experiments on anonymized COVID-19 samples. This project bridges group testing and online learning, the two largely disconnected areas, with the objective to effectively allocate limited testing resources for efficient prevalence tracking. Such integration leads to novel sampling strategies, broadens the paradigm of group testing, and advances the state of the art of online learning. Moreover, the proposed compressed sensing based diagnostic testing leverages quantitative measurements provided by advanced testing technologies, which can significantly increase test throughput, reduce the number of needed tests, decrease the consumption of scarce reagents, and provide results robust against observation noises and outliers. The rich compressed sensing theory provides possible approaches to the rigorous mathematical certification of the correctness of the decoded results. Besides, the clinical constraints on pooled testing also lead to novel problem formulation and theoretical characterization, enriching the study of compressed sensing. 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": "12263", "attributes": { "award_id": "2104319", "title": "CDSE: Collaborative: Cyber Infrastructure to Enable Computer Vision Applications at the Edge Using Automated Contextual Analysis", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "CDS&E" ], "program_reference_codes": [], "program_officials": [], "start_date": "2021-09-01", "end_date": "2024-08-31", "award_amount": 174749, "principal_investigator": { "id": 28148, "first_name": "George", "last_name": "Thiruvathukal", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [ { "id": 742, "ror": "", "name": "Loyola University of Chicago", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 742, "ror": "", "name": "Loyola University of Chicago", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "Digital cameras are deployed as network edge devices, gathering visual data for such tasks as autonomous driving, traffic analysis, and wildlife observation. Analyzing the vast amount of visual data is a challenge. Existing computer vision methods require fast computers that are beyond the computational capabilities of many edge devices. This project aims to improve the efficiency of computer vision methods so that they can run on battery-powered edge devices. Based on the visual data and complementary metadata (e.g., geographical location, local time), the project first extracts contextual information (such as a city street is expected to be busy at rush hour). The contextual information can help assist determine whether analysis results are correct. For example, a wild animal is not expected on a city street. Moreover, contextual information can improve efficiency. Only certain pixels need to be analyzed (pixels on the road are useful for detecting cars, while pixels in the sky are not) and this can significantly reduce the amount of computation, thus enabling analysis on edge devices. This project constructs a cyberinfrastructure for three services: (1) understand contextual information to reduce the search space of analysis methods, (2) reduce computation by considering only necessary pixels, and (3) automate evaluation of analysis results based on the contextual information without human effort.\n\nUnderstanding contextual information is achieved by using background segmentation, GPS-location-dependent logic, and image depth maps. Background analysis leverages semantic segmentation and analysis over time to identify the background pixels and then generate inference rules via a background-implies-foreground relationship. If a pixel is consistently marked by the same semantic label across a long period of time, this pixel is classified as a background pixel. The background information can infer certain types of foreground objects. For example, if the background is city streets, the foreground objects can be vehicles or pedestrians; if a bison is detected, this is likely a mistake. This project processes only the foreground pixels by adding masks to the neural network layers. Masking convolution can substantially reduce the amount of computation with no loss of accuracy and no additional training is needed. Meanwhile, hierarchical neural networks can skip sections of a model based on context. For example, pixels in the sky only need to be processed by the hierarchy nodes that classify airplanes. The project provides an online service that can accept input data and analysis programs for automatic evaluation of the programs, without human created labels. The evaluation is based on the correlations of background and foreground objects.\n\nThis 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": "4339", "attributes": { "award_id": "1521595", "title": "Collaborative Research: RAPID: Computationally designed probes to experimentally characterize mechanisms of Ebola virus membrane fusion", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Cellular Dynamics and Function" ], "program_reference_codes": [], "program_officials": [], "start_date": "2015-02-15", "end_date": "2017-01-31", "award_amount": 66500, "principal_investigator": { "id": 14758, "first_name": "Robert", "last_name": "Rizzo", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 578, "ror": "", "name": "SUNY at Stony Brook", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 578, "ror": "", "name": "SUNY at Stony Brook", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "Lay Abstract\nThe 2014 Ebola epidemic is the largest outbreak in history (http://www.cdc.gov) and according to the World Health Organization (WHO), \"There have been 9936 Ebola virus disease cases, and 4877 deaths, up to the end of 19 October.\" Just as alarming are the recent reports of Ebola transmission to hospital caregivers despite official warning to the contrary that spread would likely not be an issue in more developed countries such as the United States. Together, these unprecedented events highlight the severity of the potential of Ebola virus to become pandemic and the urgent need to more fully characterize how the virus replicates so that steps can be made to stop the current and likely future outbreaks. This project employs atomic-level computer modeling (docking, virtual screening) to predict and characterize how small molecule compound probes bind to and interact with specific viral proteins located on the surface of the Ebola virus. Top-scoring compounds will be experimentally tested to determine which molecules can stop viral entry. Characterization of how small molecules interact with Ebola proteins will ultimately enable a better understanding of how viral entry can be stopped and Ebola infection controlled. This will also be important for the study of other enveloped viruses such as influenza, HIV, SARS, MERS, among others. Broader impacts of the work include increased knowledge as to what types of molecules are most effective at stopping Ebola infection which will benefit study of related enveloped viruses and targeting of similar viral entry events mediated by analogous viral proteins. An important component of the project is educational training in use of cutting-edge computational and experimental tools for viral research at the undergraduate, graduate, and postdoctoral levels that includes the planned participation of women and underrepresented minorities. \n\n\nTechnical Abstract\n\nThe PI will conduct computational and experimental studies to identify and design small molecular probes that will arrest early membrane fusion events necessary for the life cycle of the virus. The project will employ a powerful new computational docking strategy that allows putative binding interfaces, such as those on Ebola viral entry proteins GP2 and GP1, to be mapped and exploited at the atomic level. Specifically, computational footprinting methods employing per-residue interaction energies will be used to identify targetable events in the Ebola pre-hairpin and pre-fusion models followed by docking to identify the most promising top-scoring compounds for additional in-depth characterization and experimental testing. The goal is to identify compounds that target favorable positions for disruption of N-helical coil formation and C-helix association, using large-scale high-throughput-virtual screening of commercially available compounds and experimental testing. An experimental pseudotyped virus system that uses a quantitative reporter gene in a non-replicating virus-like particle containing Ebola virus envelope proteins GP2 and GP1 will be used to confirm that compounds from the virtual screen arrest viral entry/fusion. Such compounds will be prioritized for additional study and development. Broader impacts of the work include increased knowledge as to what types of compounds are most effective at stopping Ebola infection which may both lead to development of Ebola virus-targeted therapeutics and also benefit study of related enveloped viruses and targeting of similar viral entry events mediated by analogous viral proteins. The project will also educate undergraduate, graduate, and postdoctoral students in the use and analysis of innovative computational docking and experimental biophysical methods to help prepare the next generation of scientists to attack important research problems in the future.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 1406, "pages": 1424, "count": 14236 } } }