Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1384&sort=-award_id
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-award_id", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=-award_id", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1385&sort=-award_id", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1383&sort=-award_id" }, "data": [ { "type": "Grant", "id": "4534", "attributes": { "award_id": "1524353", "title": "Community College Undergraduate Research Initiative (CCURI): Creating a culture of change", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Education and Human Resources (EHR)", "IUSE" ], "program_reference_codes": [], "program_officials": [ { "id": 15601, "first_name": "Virginia", "last_name": "Carter", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-09-15", "end_date": "2022-12-31", "award_amount": 1499986, "principal_investigator": { "id": 15606, "first_name": "James", "last_name": "Hewlett", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1299, "ror": "https://ror.org/011kg8p14", "name": "Finger Lakes Community College", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 15602, "first_name": "Dr. Diana", "last_name": "Spencer", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 15603, "first_name": "Virginia L", "last_name": "Balke", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 15604, "first_name": "John", "last_name": "VanNiel", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 15605, "first_name": "Darren C", "last_name": "Mattone", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1299, "ror": "https://ror.org/011kg8p14", "name": "Finger Lakes Community College", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "The American Association of Community Colleges reports that an estimated 12.8 million students are enrolled at community and technical colleges. These numbers account for 45% of all U.S. undergraduates, and highlight the increasing impact that community colleges are having on the education of post-secondary students. Several recent reports have made recommendations on the importance of providing an authentic undergraduate research experience in the first two years of a student's post-secondary education. While evidence continues to mount regarding what needs to be accomplished, little is known about how to achieve the desired reform. What is needed is a model of reform that can be tested, evaluated, refined, characterized and disseminated nationally. The Community College Undergraduate Research Initiative (CCURI) is a national consortium of community colleges, four-year institutions, government agencies, and private organizations dedicated to the development, implementation, and assessment of sustainable models for integrating an undergraduate research experience into community college STEM programs.\n\nThis project will support an expansion of the CCURI network, along with the addition of several enhancements to the model, and support research related to the impact of the CCURI model on institutional culture change, faculty instructional practices, and student persistence in STEM pathways. Two main questions will guide the research and evaluation efforts of this project. 1) How does an institution move from a culture of \"no research\" to a culture of \"research as the norm,\" with research as an integral part of the student experience? 2) What factors promote or constrain culture change from \"no research\" to \"research as the norm?\" Data gathered in response to these questions will improve the STEM undergraduate enterprise's understanding of the impact of a research experience during the first two years of a community college STEM program. In addition, the expansion of the CCURI network will lead to the creation of a southwest regional network of community college Hispanic Serving Institutions (HSIs). This expansion provides opportunities for studies to be conducted with respect to the effectiveness of the CCURI model on institutions that serve predominantly underrepresented groups.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4443", "attributes": { "award_id": "1524216", "title": "19th Annual GLOBE Partner Meeting and GLOBE Working Groups Meeting", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "GLOB LEARN & OBSER TO BEN ENVI" ], "program_reference_codes": [], "program_officials": [ { "id": 15194, "first_name": "Brandon", "last_name": "Jones", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-07-15", "end_date": "2016-02-29", "award_amount": 275877, "principal_investigator": { "id": 15196, "first_name": "Jody", "last_name": "Priselac", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 151, "ror": "", "name": "University of California-Los Angeles", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 15195, "first_name": "Henry", "last_name": "Ortiz", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 151, "ror": "", "name": "University of California-Los Angeles", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "This award is providing partial support for the 19th annual meeting of Partners and Working Groups involved with the Global Learning and Observations to Benefit the Environment (GLOBE) program, being held in Los Angeles, CA between July 19 and July 24, 2015. The GLOBE program is a worldwide community of students, teachers, scientists and citizens working to understand, sustain, and improve Earth's environment at local, regional and global scales. The mission of GLOBE is to promote the teaching and learning of science through authentic, hands-on student research, enhance environmental literacy and stewardship, and promote scientific discovery. GLOBE strives to expand the number and diversity of students engaged in STEM and pursuing scientific careers. Since its inception, GLOBE has trained more than 20,000 teachers representing ~27,000 schools around the world. The more than 12 million students who have participated in GLOBE have contributed over 126 million data measurements to the GLOBE database for use in student- and scientist-led research projects. The GLOBE annual meeting provides an essential venue to bring together the 134 U.S. Partners and 114 Partner Country Coordinators for strategic planning, program coordination, sharing of best practices, and piloting of new resources.\n\nThe 19th annual GLOBE meeting, being organized by an international committee of scientists, GLOBE Partners, and educators, will focus on the following activities: 1) train participants on the use of selected GLOBE protocols for short- and long-term research projects; 2) train participants in the use of new data entry, data analysis, visualization and communication tools recently augmented on the GLOBE web site; 3) highlight new opportunities to engage larger communities in GLOBE through citizen science projects; 4) introduce Partners to new tools that enable GLOBE students to engage in environmental research and peer review; 5) assess the success after its first year of operation of a new governance structure for GLOBE (including new Working Groups and a U.S. Partner Forum); 6) identify and model best practices for using GLOBE resources to implement new standards for STEM, language arts, and math; 7) model best practices for engaging students in the end-to-end research process using the suite of GLOBE tools; and 8) introduce a pilot program to integrate technology that connects in real-time remote research sites through live interactive collaborations between teachers, students, and scientists. Keynote presentations will be given by scientists and 7 master teachers. In addition to the 130-150 Partners and Country Coordinators attending the meeting, a group of 40 students, 3 teachers, and 7 additional chaperones will engage in a 2-day intensive research study on Catalina Island, modeling GLOBE program research resources. Pre- and post-meeting evaluation of participants will document the near- and longer-term impacts of the annual meeting activities, as well as the extent to which the resources modeled duirng the meeting are disseminated back to the GLOBE communities being served by the Partners.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4406", "attributes": { "award_id": "1523909", "title": "Collaborative Research: Fold Form, Strain, and Mechanics at the Whaleback Anticline: New Approaches to a Classic Field Locality", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "Tectonics" ], "program_reference_codes": [], "program_officials": [ { "id": 15033, "first_name": "Stephen", "last_name": "Harlan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-09-01", "end_date": "2019-08-31", "award_amount": 159757, "principal_investigator": { "id": 15034, "first_name": "Juliet", "last_name": "Crider", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 159, "ror": "https://ror.org/00cvxb145", "name": "University of Washington", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 159, "ror": "https://ror.org/00cvxb145", "name": "University of Washington", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true }, "abstract": "Folded rock layers are among the most fundamental, instructive and charismatic geologic structures. Folds are studied to investigate mountain building, to understand the engineering properties of rock, to predict the underground movement of water or hydrocarbons, and to give insight into the fundamental processes of folding itself. These applications rely on the accurate interpretation of rock deformation within a fold. Various conceptual and mathematical models predict fold-related deformation. To assess the capabilities of such predictive models, data from natural examples are required. This can be challenging, because most geologic folds at Earth's surface are only partially exposed, with major portions of the fold either buried underground or eroded away. The Whaleback Anticline in Bear Valley, east-central Pennsylvania, is a unique locale where a complete large-scale fold is exposed; strip mining for coal early in the last century revealed it in exquisite detail. This outstanding exposure permits observation of the complete three-dimensional form of the folded surface and provides a highly detailed record of deformation across the fold. This project will use cutting-edge digital imaging techniques and traditional geologic fieldwork to produce a comprehensive data set against which to test hypotheses about folding. In addition to the scientific goals of the project, the research is contributing to achievement of societally relevant outcomes in the areas of science, technology, engineering, and mathematics (STEM) education, including the development of a diverse, globally competitive STEM workforce through graduate and undergraduate student training; the development of research infrastructure of three universities; the broadening of participation of underrepresented groups in science; and increased public scientific literacy and public engagement with science and technology. The Whaleback Anticline is an important educational field trip location for dozens of university geology departments throughout the eastern United States, and it is a well-used recreation site for the local community. As part of this proposed project we will preserve, expand and curate geological observations from the Whaleback, for use by researchers, educators and the community. \n\nDeformation associated with folding is recorded by distributed strain and discrete secondary structures. These features are of fundamental importance to understanding mechanisms and sequence of fold evolution and are of practical importance as records and hosts for fluid migration in and around folds. Incomplete data from natural examples limits the ability to evaluate geometric and physics-based models of folding. Recent advances in digital imaging and analysis now make it possible to produce quantitative three-dimensional descriptions of noncylindrical folds and evaluate the relationships of these forms to the distribution and evolution of fold-related strain. This project has the following objectives: 1) to produce a high-resolution digital surface model of an iconic fold, the Whaleback Anticline in Bear Valley, east-central Pennsylvania; 2) to document the spatial variability of strain around the fold with new observations of grain-scale strain, anisotropy of magnetic susceptibility, and detailed mapping of mesoscale structures in the folded layer; 3) to test the hypothesis that surface curvature controls the spatial variation and style of observed strain around a fold; 4) to evaluate stratigraphic and rheological influences on fold strain, through finite element analysis; 5) to demonstrate the utility of structure-from-motion photogrammetry as a tool for structural geology research and 6) to produce educational resources that will preserve and expand access to a world-class field locality and engage the local community.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4555", "attributes": { "award_id": "1522550", "title": "Collaborative Research: PoLS Student Research Network", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "PHYSICS OF LIVING SYSTEMS" ], "program_reference_codes": [], "program_officials": [ { "id": 15701, "first_name": "Krastan", "last_name": "Blagoev", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-10-01", "end_date": "2022-09-30", "award_amount": 2458045, "principal_investigator": { "id": 15702, "first_name": "Jose", "last_name": "Onuchic", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 357, "ror": "", "name": "William Marsh Rice University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "This collaborative research project, consisting of four institutions (Rice, Yale, UIUC and Princeton) aims to continue the Physics of Living Systems Student Research Network (PoLS SRN). This network has been in existence for four years and has had a dramatic impact on many graduate students, both in the US and abroad, working on the application of physical science techniques to living systems. These students now can participate in a global community that can help deal with the many complex issues involved in conducting research in such a new and inherently multidisciplinary field. These issues range from proper training, to gaining a broad perspective, to accessing technical expertise that may not be available at their home institution. In addition to the obvious broader impacts related to training of a research workforce, there are other broad impacts of this plan. Via the interaction of one of the PoLS nodes (Rice) with the biomedical community in Houston, students and faculty will be exposed to possible avenues whereby physics can contribute to human health issues. Funds to attract students from under-represented groups to network meetings will be available through the new funds administered by the newly proposed network coordinator. Also deas vetted by the PoLS SRN will be adapted to create student networks in other areas of science and engineering.\n\nThere is by now little disagreement with the general notion that concepts and methods from physics have been a critical contributor to the increased understanding of the living world, and that its importance will be growing as the scientific world moves toward an ever more quantitative and predictive form of biology. Thus, the physics community clearly needs to train a new generation of scientists who can lead this effort, scientists who have the right mix of physics/mathematics rigor and broad knowledge of living systems from molecular scales on up. The PoLS SRN aims at creating a community of graduate students who can collectively help themselves and their mentors accelerate and enhance this training process. This is being done by a mix of in-person and virtual modes of communication, and this proposal is a plan to continue and expand these efforts; it will reach more students, improve the social networking portals, and make use of the complementary research agendas of the different network nodes to provide broad technical expertise. Doing all of this, will boost the intellectual level of the entire research field and convince the best students that the Physics of Living Systems is truly the most exciting research frontier in 21st century science.\n\nThis project is being jointly supported by the Physics of Living Systems program in the Division of Physics, the Molecular Biophysics Cluster in the Division of Molecular and Cellular Biosciences, the Chemistry of Life Processes program in the Division of Chemistry, and the Cellular Dynamics and Function Program in the Division of Integrative Organismal Systems.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4577", "attributes": { "award_id": "1522054", "title": "Collaborative Research: CompSustNet: Expanding the Horizons of Computational Sustainability", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Expeditions in Computing" ], "program_reference_codes": [], "program_officials": [ { "id": 15790, "first_name": "Sylvia", "last_name": "Spengler", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-12-15", "end_date": "2023-11-30", "award_amount": 8060000, "principal_investigator": { "id": 15795, "first_name": "Carla", "last_name": "Gomes", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 279, "ror": "https://ror.org/05bnh6r87", "name": "Cornell University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 15791, "first_name": "Jon M", "last_name": "Conrad", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 15792, "first_name": "John E", "last_name": "Hopcroft", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 15793, "first_name": "David B", "last_name": "Shmoys", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 15794, "first_name": "Bart", "last_name": "Selman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 279, "ror": "https://ror.org/05bnh6r87", "name": "Cornell University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "Poverty, saving species, repowering the world with renewable energy, lifting people up to live better lives - there are no easy answers to guiding our planet on the path toward sustainability. Complex problems require sophisticated solutions. They involve intricacy beyond human capabilities, the kind of big-data processing and analysis that only advanced large-scale computing can provide. This NSF Expedition in Computing launches CompSustNet (http://www.compsust.net), a vast research network powered by the nation's recognized university computer science programs, charged with applying the emerging field of computational sustainability to solving the world's seemingly unsolvable resource problems. Put simply, the project will enlist some of the top talents in computing, social science, conservation, physics, materials science, and engineering to unlock sustainable solutions that safeguard our planet's future.\n\nComputational Sustainability is, at its core, the belief that with sufficiently advanced computational techniques, we can devise sustainable solutions that meet the environmental, societal, and economic needs of today while providing for future generations. In much the same way IBM's supercomputer Watson could defeat any challenger in Jeopardy!, computational sustainability posits that a computer-engineered solution can be applied to world's difficult and challenging problems - from helping farmers and herders in Africa survive severe droughts to developing a smart power grid fueled entirely by renewable energy. CompSustNet is a large national and international multi-institutional research network led by Cornell University and including 11 other US academic institutions: Bowdoin, Caltech, CMU, Georgia Tech, Howard University, Oregon State, Princeton, Stanford, UMass, University of South California, and Vanderbilt University, as well as collaborations with several international universities. But CompSustNet is not just an academic enterprise, as it also includes key governmental and non-governmental organizations that specialize in conservation, poverty mitigation, and renewable energy, such as The Nature Conservancy, The World Wildlife Fund, The International Livestock Research Institute, The Trans-African Hydro-Meteorological Observatory, and the National Institute of Standards and Technology.\n\nCompSustNet's core mission is to significantly expand the horizons of computational sustainability and foster the advancement of state-of-the-art computer science to achieve the scale to tackle global problems. Research will focus on cross-cutting computational topics such as optimization, dynamical models, simulation, big data, machine learning, and citizen science, applied to sustainability challenges. For example, computational sustainability is being put to work to resolve the problem of providing wetlands for shorebirds that migrate from the Arctic through California during a time of drought. As California gets drier, the shorebirds have nowhere to stop, rest, and refuel by eating wetland invertebrates. Scientists are developing new dynamic precision conservation techniques that use complex, big-data models to tackle the problem with NASA satellite imagery, meteorological forecasts, and citizen science in the form of thousands of bird location sightings from the Cornell Lab of Ornithology's eBird checklisting app for birdwatchers. Through partnership with The Nature Conservancy, the program forecasts when and where wetland habitat would be needed for shorebirds, and the Conservancy pays Central Valley rice farmers to flood their fields at opportune times - providing benefits for birds and farmers at a time when extreme drought is making life tough for both. In similar ways, computational sustainability projects will also be hard at work innovating automated monitoring networks to protect endangered elephant population from poachers, promoting the discovery of novel ways to harvest energy from sun light, and designing algorithms to manage the generation and storage of renewable energy in the power grid. \n\nAdvancements in computational sustainability will lead to novel, low-cost, high-efficiency strategies for saving endangered species, helping indigenous peoples improve their way of life, and scaling renewables up to meet 21st century energy demand. CompSustNet is like the seed, the venture capital, to help the field of computational sustainability achieve what's possible.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4498", "attributes": { "award_id": "1521972", "title": "SCH: INT: Collaborative Research: Diagnostic Driving: Real Time Driver Condition Detection Through Analysis of Driving Behavior", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Smart and Connected Health" ], "program_reference_codes": [], "program_officials": [ { "id": 15420, "first_name": "Wendy", "last_name": "Nilsen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-09-01", "end_date": "2020-08-31", "award_amount": 314011, "principal_investigator": { "id": 15422, "first_name": "Avelino", "last_name": "Gonzalez", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 15421, "first_name": "Annie S", "last_name": "Wu", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 173, "ror": "", "name": "The University of Central Florida Board of Trustees", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true }, "abstract": "The automobile presents a great opportunity for healthcare monitoring. For one, most Americans engage in daily driving, and patient's time spent in vehicles is a missed opportunity to monitor their condition and general wellbeing. The goal of this project is to develop and evaluate technology for automatic in-vehicle monitoring of early symptoms of medical conditions and disrupted medications of patients, and to provide preventive care. Specifically, in this project we will focus on Attention-Deficit/Hyperactivity disorder (ADHD) in teenagers and young adults, a prevalent chronic medical condition which when uncontrolled has the potential for known negative health and quality of life consequences. The approach of using driving behavior to monitor ADHD symptoms could be applied to many other medical conditions (such as diabetes, failing eyesight, intoxication, fatigue or heart attacks) thereby transforming medical management into real-time sensing and management. Identification of all these conditions from driving behavior and alerting the proper agent could transform how we think about health monitoring and result in saved lives and reduced injuries.\n\nThe main goal of this project is to leverage the large amounts of health data that can be collected while driving via machine learning, in order to detect subtle changes in behavior due to out-of-control ADHD symptoms that can, for example, indicate the onset of episodes of inattention before they happen. Via lab-based driving simulator as well as on-road studies, the research team will investigate the individualized behaviors and patterns in vehicle control behaviors that are characteristic of ADHD patients under various states of medication usage. The team will develop a machine learning framework based on case-based and context-based reasoning to match the current driving behavior of the patient with previously recorded driving behavior corresponding to different ADHD symptoms. The key machine learning challenge is to define appropriate similarity measures to compare driving behavior that take into account the key distinctive features of ADHD driving behavior identified during our study. The team will evaluate the accuracy with which the proposed approach can identify and distinguish between different out-of-control ADHD symptoms, which are the implications for long-term handling of ADHD patients, via driving simulator experiments as well as using instrumented cars with real patients.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "491", "attributes": { "award_id": "1521918", "title": "RAPID: On-site Disinfection and Survival of Ebola and Other Viruses in Human Fecal Wastes and Sewage", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown" ], "program_reference_codes": [], "program_officials": [ { "id": 992, "first_name": "Karl", "last_name": "Rockne", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-02-01", "end_date": "2018-01-31", "award_amount": 144418, "principal_investigator": { "id": 993, "first_name": "Mark D", "last_name": "Sobsey", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 166, "ror": "https://ror.org/0130frc33", "name": "University of North Carolina at Chapel Hill", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 166, "ror": "https://ror.org/0130frc33", "name": "University of North Carolina at Chapel Hill", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "1521918SobseyRAPID: On-site Disinfection and Survival of Ebola and Other Viruses in Human Fecal Wastes and SewageThere is a critical and urgent need for quantitative data on the survival and rapid, onsite chemical disinfection of Ebola virus and surrogate/indicator viruses in feces and raw sewage, as no such data currently exist. Data on both survival and chemical disinfection of Ebola virus and surrogates/indicators for it will provide quantitative information to assess the risks posed by Ebola virus in fecal waste and raw sewage and to determine if the risks can be reduced effectively by on-site, rapid chemical disinfection. No previous studies have ever compared systematically the range of chemical disinfectants to be used here for inactivation of Ebola or other surrogate/indicator viruses. The project will provide critical and timely quantitative information on the survival and rapid on-site chemical disinfection of a mutant Ebola virus and several candidate indicator/surrogate viruses in feces and raw sewage.The objectives of this study are to: (1) do batch laboratory-scale experiments to quantify and characterize the rate and extent of inactivation of the infectivity of a mutant Ebola virus strain as well as surrogate/indicator viruses, both enveloped and non-enveloped) in feces and raw sewage at two temperatures (37C and a room temperature of ~23C) under both aerobic and anaerobic conditions, and, (2) to determine the rate and extent of inactivation of the infectivity of these viruses in feces and raw sewage by batch disinfection with different doses of the following disinfectants: free chlorine, 2 quaternary ammonium compounds, peracetic acid, lime (calcium hydroxide), a phenolic compound and an anionic detergent. The mutant Ebola virus strain that is not infectious for humans or animals but grows and can be assayed for infectivity in a genetically modified cell line will be used along with the following surrogate/indicator viruses: an animal coronavirus (Transmissible Gastroenteritis Virus of Swine), an avian influenza virus strain, an enveloped bacteriophage (Phi6) and 2 non-enveloped bacteriophages of E. coli (MS2 and PhiX-174).", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4485", "attributes": { "award_id": "1521904", "title": "SCH: INT: Disposable High Sensitivity Point of Care Immunosensors for Multiple Disease and Pathogen Detection", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Smart and Connected Health" ], "program_reference_codes": [], "program_officials": [ { "id": 15358, "first_name": "Wendy", "last_name": "Nilsen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-08-01", "end_date": "2021-07-31", "award_amount": 1824432, "principal_investigator": { "id": 15360, "first_name": "Jennifer", "last_name": "Blain Christen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 15359, "first_name": "Karen", "last_name": "Anderson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "This research program proposes to investigate substances sometimes found in sweat, such as protein, which can detect health and disease (biomarkers). The sweat is a biofluid that can provide a window to a person's health. At this time, there is no rapid method to measure the changes in proteins in the sweat that signal disease. The goal is to measure changes in these proteins in the sweat before, during, and after physical activity, including measuring levels of stress hormones and immune markers using a low cost and disposable point-of-care biosensor. In essence, the aim of this proposal is to develop a cheap and disposable patch sensor that can be worn on the skin, and eventually become as widely used as the box of bandages or oral thermometer found in most home medicine cabinets. One of the key engineering roadblocks to such a device is the availability of a low-cost manufacturing technology that can be combined with state-of-the-art biomarker proteomic detection technology to diagnose and monitor multiple diseases with medical laboratory level sensitivity. This proposal presents a new approach combining low-cost commercial display technology (found in your TV, computer monitor, or cell phone) with protein microarray printing technology to fabricate a low-cost, disposable skin patch for more effective self-management of patient health care in the home or in other non-clinical settings. The measurements will be available in real time for both patients and their caregivers using smart-phone technology. To meet this research objective, a fabric-like flexible skin patch is proposed that would provide non-invasive monitoring of multiple biomarkers in human sweat. This new approach is designed to use existing commercial manufacturing technology that can be readily adapted to produce hundreds of millions of devices per year at a cost of only a few dollars each.\n\nThe research program proposes to utilize multiple proteomic research platforms (mass spectrometry, protein, and antibody microarrays) to establish a profile of the sweat proteome that will have a fundamental impact on furthering the biological understanding of sweat and skin, and transition high-cost fluorescent-based assay platforms into a low-cost, disposable, highly sensitive fluorescent point-of-care based assay that is minimally to non-invasive. Highlights of the proposed development effort include: a detailed proteomic analysis utilizing mass spectrometry as well as custom protein and antibody microarrays for the discovery of proteins and antibodies present in sweat; development and optimization of the biosensor's optical and electronic components for the utilization of low-cost fluorescent recognition lateral flow assay; development of fluorescent recognition lateral flow assays utilizing identified serum and sweat biomarkers and the integration of the assay with our optical biosensor. This research program accelerates the development of technology that will transform healthcare from reactive and hospital-centered to preventative, proactive, evidence-based, and person-centered. This next generation health care solution will provide breakthrough sensor technology for in-home monitoring. This transformation in healthcare is especially critical for immune-compromised individuals, such as organ transplant recipients, cancer patients, post-operative patients, and the elderly.", "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 } }, { "type": "Grant", "id": "4340", "attributes": { "award_id": "1521547", "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": 14759, "first_name": "Amy", "last_name": "Jacobs", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 422, "ror": "", "name": "SUNY at Buffalo", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 422, "ror": "", "name": "SUNY at Buffalo", "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": 1384, "pages": 1424, "count": 14236 } } }