Grant List
Represents Grant table in the DB
GET /v1/grants?sort=funder
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=funder", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=funder", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=2&sort=funder", "prev": null }, "data": [ { "type": "Grant", "id": "9536", "attributes": { "award_id": "2030139", "title": "Compounding Crises: Facing Hurricane Season in the Era of COVID-19", "funder": null, "funder_divisions": [], "program_reference_codes": [ "CK090", "RND123" ], "program_officials": [], "start_date": null, "end_date": null, "award_amount": 199890, "principal_investigator": null, "other_investigators": [], "awardee_organization": null, "abstract": "Test", "keywords": [ "covid", "research" ], "approved": true } }, { "type": "Grant", "id": "2571", "attributes": { "award_id": "2018427", "title": "MRI: Expansion of the Molecular Education and Research Consortium in Undergraduate Computational ChemistRY (MERCURY) via Addition of High Performance Computers", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Major Research Instrumentation" ], "program_reference_codes": [], "program_officials": [ { "id": 7415, "first_name": "Deepankar", "last_name": "Medhi", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-10-01", "end_date": "2023-09-30", "award_amount": 400000, "principal_investigator": { "id": 7418, "first_name": "George", "last_name": "Shields", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 893, "ror": "https://ror.org/04ytb9n23", "name": "Furman University", "address": "", "city": "", "state": "SC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 7416, "first_name": "Carol A", "last_name": "Parish", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 7417, "first_name": "Maria A", "last_name": "Gomez", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 893, "ror": "https://ror.org/04ytb9n23", "name": "Furman University", "address": "", "city": "", "state": "SC", "zip": "", "country": "United States", "approved": true }, "abstract": "This high-performance computer (HPC) adds to the HPC MERCURY resources, and enables 12 more research groups to benefit, expanding the consortium to 38 computational chemists and physicists at 33 different institutions. The consortium is the Molecular Education and Research Consortium in Undergraduate computational chemistRY (MERCURY). Its objective is to increase the number of undergraduate students participating and benefiting from this stimulating and highly productive environment. The enabled research projects described utilize the tools of computational chemistry to solve significant problems in chemistry and chemical physics. \n\nThe Instrument is expected to increase the number of undergraduate students participating and benefiting from this stimulating and highly productive environment. The enabled research projects utilize the tools of computational chemistry to solve significant problems in chemistry and chemical physics. This Instrument expansion builds on the progress and momentum of the 2001 MRI grant, which allowed the consortium to purchase a high-performance computer and assisted in formally establishing rigorous, accessible research programs at the member institutions. The instrument enables research in computational chemistry, spanning the fields of biochemistry, biological, bioinorganic, biophysical, environmental, inorganic, materials, machine learning, nanoparticles, physical, physical organic, photochemistry, polymers, and solvation effects.\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": "2650", "attributes": { "award_id": "1832184", "title": "PDB Management by The Research Collaboratory for Structural Bioinformatics", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "ADVANCES IN BIO INFORMATICS" ], "program_reference_codes": [], "program_officials": [ { "id": 7751, "first_name": "Steven", "last_name": "Ellis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-03-01", "end_date": "2024-02-29", "award_amount": 14500000, "principal_investigator": { "id": 7752, "first_name": "Stephen", "last_name": "Burley", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 218, "ror": "", "name": "Rutgers University New Brunswick", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 218, "ror": "", "name": "Rutgers University New Brunswick", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true }, "abstract": "The mission of the Research Collaboratory for Structural Bioinformatics (RCSB) Protein Data Bank (PDB) is to sustain a unique Findable-Accessible-Interoperable-Reusable (FAIR) living data resource of three-dimensional (3D) biomolecular structure information. PDB structures are the molecules of life. Knowledge of 3D structures (shapes) of biological macromolecules, how they evolved with time, and their functions are essential for understanding critical areas of science, including fundamental biology; health and disease of humans, animals, and plants; food and energy production; and other topics of concern to global prosperity and environmental sustainability. Structure data are equally important for biopharmaceutical and biotechnology companies, driving discovery of new therapeutics, biomaterials, and medical devices. RCSB PDB services span the entire PDB data lifecycle. Archive Management/Access services safeguard this single global archive of over 137,000 3D structures of biological macromolecules, with an estimated replacement cost of nearly $14 billion. Deposition/Biocuration and Data Exploration services support over 30,000 data contributors and over 1 million data users worldwide. The PDB has a 19-year history of scientific and technical leadership in sustaining an open-access global data resource that has become central to research and education in biology and medicine, by curating, integrating, and disseminating biomolecular structure information in the context of biological function, biochemical pathways, cellular processes, disease states, and molecular evolution. RCSB PDB websites supporting research (rcsb.org) and education (pdb101.rcsb.org) foster a molecular understanding of fundament biology, biomedicine, and energy in three-dimensions at the atomic level. Access to PDB data and RCSB PDB services will continue to drive patent applications, drug discovery and development, publication of innovative research, in scientific disciplines ranging from Agriculture to Zoology, development of life-changing biopharmaceutical products and formation of new US companies. \n\nRCSB PDB outreach, education, and training efforts leverage PDB data and RCSB PDB staff expertise. More than 620,000 researchers, educators, students, and members of the public use the Outreach/Education services. Online materials supporting exploration of fundamental biology; biomedicine; energy; biotechnology drug discovery; and Science, Technology, Engineering, and Mathematics (STEM) education, are consumed by researchers, educators, students, and the public. RCSB PDB educational resources are designed for global reuse in homes and classrooms, requiring only modest desktop computers, smartphones, or digital printers to experience the full impact of the project's online offerings. These free-of-charge materials are hosted at pdb101.rcsb.org, including the popular Molecule of the Month series that highlights the structure and function of molecules, and the Guide to Understanding PDB Data that introduces structural biology tools to a broad audience. RCSB PDB also produces and distributes online curricular materials for high school and college educators and students, explaining how molecular structures inform fundamental biology, medicine, energy, biotechnology, and drug discovery, with a focus on global public health concerns.\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": "2658", "attributes": { "award_id": "1900171", "title": "2020 Vision for Dynamics International Conference", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "ANALYSIS PROGRAM" ], "program_reference_codes": [], "program_officials": [ { "id": 7782, "first_name": "Marian", "last_name": "Bocea", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-08-01", "end_date": "2020-01-31", "award_amount": 24992, "principal_investigator": { "id": 7785, "first_name": "Boris", "last_name": "Hasselblatt", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 508, "ror": "https://ror.org/05wvpxv85", "name": "Tufts University", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 7783, "first_name": "Giovanni", "last_name": "Forni", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 7784, "first_name": "Yakov B", "last_name": "Pesin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 508, "ror": "https://ror.org/05wvpxv85", "name": "Tufts University", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "2020 Vision for Dynamics will be held in the Mathematical Research and Conference Center Bedlewo of the Institute of Mathematics at the Academy of Sciences of Poland from August 11 to 16, 2019. The conference will focus on topics related to elliptic, parabolic and hyperbolic dynamical systems and smooth ergodic theory that have seen much progress, but where significant problems vital to the field remain open. Based on forward-looking presentations of recent developments, the conference will set a broad and concrete agenda for further research on several fronts and bring together senior, mid-career and young practitioners for discussions of open problems in these research areas. More information can be found at: https://www.impan.pl/en/activities/banach-center/conferences/19-vision2020\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": "2554", "attributes": { "award_id": "2039317", "title": "WORKSHOP: Doctoral Consortium at the 2020 Conference on Computer Supported Cooperative Work and Social Computing", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "HCC-Human-Centered Computing" ], "program_reference_codes": [], "program_officials": [ { "id": 7344, "first_name": "Ephraim", "last_name": "Glinert", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-08-01", "end_date": "2021-07-31", "award_amount": 4500, "principal_investigator": { "id": 7345, "first_name": "Jessica", "last_name": "Vitak", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 297, "ror": "https://ror.org/047s2c258", "name": "University of Maryland, College Park", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 297, "ror": "https://ror.org/047s2c258", "name": "University of Maryland, College Park", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "This is funding to support a doctoral research consortium (workshop) to take place in conjunction with the Association for Computing Machinery's 2020 Conference on Computer Supported Cooperative Work and Social Computing (CSCW), to be held virtually due to the current situation from October 17-21, and which is sponsored by the Association for Computing Machinery's Special Interest Group on Human Computer Interaction (SIGCHI). The CSCW conferences are the premier venue for the presentation of research relating to the design and use of technologies that affect groups, organizations, communities and networks. The development and application of new technologies continues to enable new ways of working together and coordinating activities. While work is an important area of focus for the conference, technology is increasingly supporting a wide range of recreational and social activities. CSCW has also embraced an increasing range of devices, as we collaborate from different contexts and situations. Research published at CSCW is heavily refereed and widely cited; the conference annually attracts over 700 top researchers from academia and industry around the world. The CSCW doctoral consortia, which began in 1992, have been highly successful in providing a forum for the initial socialization into the field of young doctoral scholars, and many of today's leading CSCW researchers participated as students in earlier consortia. These doctoral consortia traditionally bring together the best of the next generation of CSCW researchers, allowing them both to sharpen the research skills and to create a social network among themselves and with senior researchers at a critical stage in their professional development. Maintaining and fostering research dialog among the diverse disciplines that are present in the CSCW community results in synergistic and transformative research collaborations. Because the students and faculty constitute a diverse group across a variety of dimensions, including nationality/cultural and scientific discipline, the students' horizons are broadened to the future benefit of the field.\n\nThe Doctoral Consortium at CSCW 2020 will be a full-day event taking place the day before the main conference on October 18. Goals of the doctoral consortium include building a cohort group of new researchers who will then have a network of colleagues spread out across the world, guiding the work of new researchers by having experts in the research field mentor them and provide constructive advice, and making it possible for promising new entrants to the field to attend their research conference. Students will make formal presentations about their research, followed by discussion and constructive feedback both from members of the faculty panel and other student participants. The feedback will be geared to helping students understand and articulate how their work is positioned relative to other CSCW research, whether their topics are adequately focused for thesis research projects, whether their methods are correctly chosen and applied, and whether their results are appropriately analyzed and presented. Additionally, the mentors will discuss different aspects of research life, including career paths, funding, work-life balance, etc.\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": "2623", "attributes": { "award_id": "2020434", "title": "Collaborative Research: Measuring leaping performance, evaluating its anatomical correlates, and reconsidering the importance of leaping in primate origins and early evolution", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "Biological Anthropology" ], "program_reference_codes": [], "program_officials": [ { "id": 7640, "first_name": "Rebecca", "last_name": "Ferrell", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-01-15", "end_date": "2022-12-31", "award_amount": 158544, "principal_investigator": { "id": 7644, "first_name": "Douglas", "last_name": "Boyer", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 246, "ror": "https://ror.org/00py81415", "name": "Duke University", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 7641, "first_name": "Daniel O", "last_name": "Schmitt", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 7642, "first_name": "Angel", "last_name": "Zeininger", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 7643, "first_name": "Gabriel", "last_name": "Yapuncich", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 246, "ror": "https://ror.org/00py81415", "name": "Duke University", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "Primate species display a diverse range of adaptations for moving through their environments, and hypotheses about these locomotor patterns have long played a central role in models of primate origins. In this project, the investigators will use an integrative set of analytical techniques to (1) explore the correlation of “leaping related” skeletal traits with leaping performance and (2) assess the evolutionary implications of the resulting correlations in the primate fossil record. This approach is designed to provide validated evidence capable of supporting or refuting the hypothesis that selection for powerful arboreal leaping characterized early primate locomotion. Utilizing research facilities at the Duke Lemur Center and the Cleveland Metroparks Zoo (CMZ), this study will contribute to the debate on the relevance of leaping behavior during early primate evolution by providing quantitative biomechanical data on leaping performance in 19 species of extant primates. The project will enhance K-12 education and outreach via the involvement of high school research interns at Northeast Ohio Medical University and Duke University, as well as public outreach efforts through the teaching of a short course on primate locomotor biomechanics at a local STEM academy and public science events at the CMZ, Duke University’s Darwin Day, and the North Carolina Museum of Natural Science. The project will also provide research training and opportunities for undergraduates, female graduate students, and a postdoctoral fellow. \n\nDiffering hypotheses about ancestral primate locomotion have long generated strong debate about the predominant selective pressures acting during primate origins. Recent paleontological analyses have been interpreted to suggest that selection for improved leaping was particularly critical during early primate evolution. Hypotheses about the paleobiology of ancestral primates are constrained by a limited understanding of the functional significance of morphological variation in extinct lineages, as fossils currently provide only imprecise clues about behavioral capacity. Robust correlations between morphology and performance are needed to more precisely infer locomotor transitions during primate origins from the anatomical transformations revealed by fossils. Fortunately, leaping biomechanics are relatively easy to characterize, making this a particularly tractable locomotor behavior to study. This research is organized into two specific aims. (AIM 1) Investigators will use high-speed video and force plates to study leaping performance in a diverse sample of extant primates, squirrels, and treeshrews. These data will be combined with morphometric datasets to test hypotheses relating variation in leaping performance to variation in skeletal morphology. (AIM 2) Armed with a deeper understanding of the functional morphology of leaping performance, investigators will use phylogenetic comparative analyses and evolutionary modeling to investigate the selective importance of leaping at the origin of crown primates and during their subsequent evolution. This two-pronged approach will ground interpretations of primate “leaping” morphology with transformational functional specificity, permitting assessment of how morphological changes in the primate fossil record quantitatively affected leaping performance and informing long-standing debates on the ecological context of primate origins. This project is jointly supported by the NSF SBE-BCS-Biological Anthropology and BIO-IOS-Physiological Mechanisms and Biomechanics programs.\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": "2638", "attributes": { "award_id": "2026281", "title": "SBIR Phase I: Stabilization of the desired epitopes of hRSV-F protein for efficient absorption through the gut", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)", "SBIR Phase I" ], "program_reference_codes": [], "program_officials": [ { "id": 7703, "first_name": "Erik", "last_name": "Pierstorff", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-12-01", "end_date": "2021-11-30", "award_amount": 256000, "principal_investigator": { "id": 7704, "first_name": "Swarnamali", "last_name": "Rupassara", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 910, "ror": "", "name": "FruitVaccine Incorporation", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 910, "ror": "", "name": "FruitVaccine Incorporation", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will be to provide global populations with a safe, affordable and viable edible vaccine against the human respiratory syncytial virus (hRSV). hRSV is a critical global health problem, annually affecting 64 million people and causing over 160,000 death, motivating a vaccine. Natural food-derived vaccines offer advantages over traditional injections by providing a safe, affordable, non-invasive, non-egg-based (reduced allergenic risk), vegan-friendly, effective and efficient antigen-delivery system. The project addresses this need by developing a cherry-tomato-based oral vaccine that can be administered painlessly in a chewable gummy-like pill formulation or in oral drops. The proposed fruit-vaccines will minimize the global incidence of hRSV through scalable production and distribution, increasing global accessibility and vaccination rates. Furthermore, with fewer disposables it is more environmentally friendly. This method could apply broadly to other oral-delivery platforms.\n\nThis Phase I project will advance peptide-based oral-delivery platforms. The project will improve the yield and consistent expression of the immunogenic antigen (hRSV-F protein) in the plant, both pre- and post-harvest, as well as before and after delivery into the body. The approach involves bioengineering the plant-optimized gene for the hRSV-F protein to improve its stability by blocking undesirable cleavage sites while retaining the desirable protective epitopes of the hRSV-F immunogen. Transgenic plants expressing the stabilized hRSV-F in the tomato fruits will be grown in a greenhouse. The hRSV-F-containing cherry-tomatoes will be harvested, homogenized (pureed), and then lyophilized (freeze-dried) to formulate innovative vaccine purees or pills, respectively. Tasks include conducting qualitative and quantitative analyses, such as color, consistency, pH, concentration of intact hRSV-F protein, its potential degradation products and desired epitope/s, analyzed using enzyme-linked immunosorbent assay (ELISA), western-blot and high-performance liquid chromatography. These tests will help characterize the persistence and effectiveness of the proposed changes on hRSV-F protein expression, yield, and stability in fresh-fruits, tomato-puree and in the freeze-dried fruit-pills. Similar assessments will be performed also post-ingestion, in the gut contents and in blood of mice.\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": "2582", "attributes": { "award_id": "2037874", "title": "I-Corps: Cell Culture Platform Using Engineered Micropatterns to Control Differentiation", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)", "I-Corps" ], "program_reference_codes": [], "program_officials": [ { "id": 7458, "first_name": "Ruth", "last_name": "Shuman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-08-01", "end_date": "2023-01-31", "award_amount": 50000, "principal_investigator": { "id": 7459, "first_name": "Scott", "last_name": "Wood", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 580, "ror": "https://ror.org/00ch7yk27", "name": "South Dakota School of Mines and Technology", "address": "", "city": "", "state": "SD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 580, "ror": "https://ror.org/00ch7yk27", "name": "South Dakota School of Mines and Technology", "address": "", "city": "", "state": "SD", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this I-Corps project is the development of an in vitro, articular cartilage model for osteoarthritis (OA). This model is designed to increase the likelihood of successful clinical translation of research on the causes of OA into potential treatments. OA often occurs with age or injury and affects over 32.5 million US adults. There are currently no known disease-modifying treatments to stop or reverse the progression of OA – all current treatments are limited to either various methods of pain management or surgical tissue replacement. The proposed technology will advance the translation of OA research by facilitating studies of chondrocytes, the primary cells that cause OA, using traditional and state-of-the-art genomic, proteomic, and imaging techniques. It is expected that the proposed technology will bridge the gap between the 2D and 3D cell culture markets, represented by an annual market of ~$1 billion in the US. Due to the prevalence and crippling nature of OA, joint replacements represent a $19 billion industry annually in the US. In addition to its role in OA treatments, the model may clinical implications in improving outcomes for autologous chondrocyte transplantation, increasing its commercial impact.\n\nThis I-Corps project is based on the development of a cell culture platform that improves control over the differentiation of chondrocytes. This control is enabled through the regulation of cell shape via a novel combination of nanotechnology, micropatterning, and mechanically-tunable, thin-film composite materials. Chondrocytes rapidly transform into non-physiological cell types in standard 2D culture systems. More advanced 3D culture systems prevent this problem but introduce difficulties in compatibility with analytical techniques. The proposed technology may act as an egg crate for individual cells, nesting each one in an environment that allows it to maintain its physiological nature without restricting their ability to be studied. The technology may maintain the physiological cell shape of chondrocytes for at least 28 days, four times as long as competing micropatterned technologies. The technology has potential applications in drug development, gene therapy, stem cell medicine, tissue engineering, the elucidation of molecular pathogeneses, and other biomedical applications.\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": "2595", "attributes": { "award_id": "2016363", "title": "Collaborative Research: Learning by Touch: Preparing Blind Students to Participate in the Data Science Revolution", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Cyberlearn & Future Learn Tech" ], "program_reference_codes": [], "program_officials": [ { "id": 7519, "first_name": "Dan", "last_name": "Cosley", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-10-01", "end_date": "2023-09-30", "award_amount": 328112, "principal_investigator": { "id": 7520, "first_name": "Sile", "last_name": "O'Modhrain", "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": "Over the past decade the data science revolution has transformed the way scientists, engineers, and businesses work. A key enabler is the rise of interactive data visualization tools, which allow users to filter, analyze, and understand large data sets. Beyond static charts and graphs, interactive data visualization allows users to view data in different ways and from different perspectives, to build deeper understanding of trends, and to test hypotheses. However, Blind and Visually Impaired People have not been able to fully participate in this data revolution. Common tools for data analysis and data exploration are based on interactive spatial graphics, displayed on 2D screens. These spatial diagrams, charts, and other representations are not easily conveyed through speech or text – the typical ways in which Blind and Visually impaired people consume information through computers. This lack of access to common tools has presented a barrier for Blind and Visually Impaired People to enter STEM fields. History teaches us that, with the right tools, Blind and Visually Impaired People can contribute fully to highly technical fields. For example, many blind people are engaged as programmers and network administrators across a range of industries. It is evident that, if Blind and Visually Impaired People are provided with accessible tools that are functionally equivalent to those used by others and are able to interact with and generate their own data, they will take their place in the world of work, alongside their sighted peers. To address these issues, this project will work to: (1) increase understanding of data literacy amongst Blind and Visually Impaired People; (2) develop new tools and techniques, using touch and audio, to help prepare Blind and Visually Impaired People’s to understand and explore data. This is expected to begin to increase access to STEM concepts and materials in the BVI community, where access has previously been limited. Spatial information is ubiquitous in STEM; finding effective ways to make it accessible to everyone is imperative. Increasing access to Interactive Data Visualization tools will help prepare the Blind and Visually Impaired to participate as data scientists, software engineers, and informed citizens.\n \nThis research will work to make fundamental contributions in the fields of information visualization, assistive technology, and haptic perception, advancing our understanding of techniques for effective encoding and exploration of spatial information in alternate forms to graphical representation. It will also expand on guidelines for multi-modal haptic interaction with spatial information and create new open source software to enable these interactions. Finally, it will contribute to the field of informal STEM learning, providing understanding about data literacy and personal data exploration as a pathway to engage the Blind and Visually Impaired community in data science and STEM activities. The research will use a mixed methods approach, using co-design, qualitative and longitudinal field studies, and quantitative lab studies. Through 4 synergistic research themes, this project will expand knowledge of broadening access to interactive data visualization for Blind and Visually Impaired People by investigating: (1) current practices, gaps and needs in data literacy for Blind and Visually Impaired People; (2) how task goals affect exploration strategies for tactile perception of data for BVI people; (3) data exploration and manipulation strategies through co-design using an interactive tactile display; and (4) the efficacy of interactive tactile data exploration to expand data literacy for BVI people.\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": "2610", "attributes": { "award_id": "2018069", "title": "MRI: Acquisition of a Cyberinstrument for AI-Enabled Computational Science & Engineering", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Major Research Instrumentation" ], "program_reference_codes": [], "program_officials": [ { "id": 7588, "first_name": "Marilyn", "last_name": "McClure", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-10-01", "end_date": "2023-09-30", "award_amount": 651000, "principal_investigator": { "id": 7593, "first_name": "Amy", "last_name": "Apon", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [ { "id": 290, "ror": "https://ror.org/037s24f05", "name": "Clemson University", "address": "", "city": "", "state": "SC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 7589, "first_name": "Dvora", "last_name": "Perahia", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 7590, "first_name": "Mashrur A", "last_name": "Chowdhury", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 7591, "first_name": "Kuang-Ching", "last_name": "Wang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 7592, "first_name": "Feng", "last_name": "Luo", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 290, "ror": "https://ror.org/037s24f05", "name": "Clemson University", "address": "", "city": "", "state": "SC", "zip": "", "country": "United States", "approved": true }, "abstract": "This project aims to acquire an instrument focusing on Artificial Intelligence to drive fundamental research and enable applications of existing methodologies. The instrumentation extends the supercomputer at the institution and would serve as catalysts for academic partnerships in the state among Clemson, Medical University of S.C. (MUSC), USC, and some HBCUs.\n\nThe Instrument extends the supercomputer at the institution and enables research on: Artificial Intelligence, Machine Learning, Computational Intelligence, Deep Learning, and Statistical Methods. The instrument enables research on Biomedical Data Science and Informatics, including the development of tools and deep learning methods for third generation sequencing data, new machine-learning algorithms for biomedical knowledge discovery systems. The Instrument enables research on root nodulation in legumes, cancer biology, and genomics algorithms; Visual Computing. It also enables research on fundamental problems related to physical simulation and numerical control problems spanning broadly from predictive scientific visualization to production of artificial sampling data for Deep Neural Network Training and to the control and safety assurance of real-world artifacts such as autonomous vehicles.\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 } } ], "meta": { "pagination": { "page": 1, "pages": 1424, "count": 14236 } } }