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=1405&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": "2612", "attributes": { "award_id": "1952792", "title": "SCC-IRG Track 2: Leveraging Smart Technologies and Managing Community Resilience through Networked Communities and Cross-Sector Partnerships", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "S&CC: Smart & Connected Commun" ], "program_reference_codes": [], "program_officials": [ { "id": 7600, "first_name": "Daan", "last_name": "Liang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-09-01", "end_date": "2023-08-31", "award_amount": 1225000, "principal_investigator": { "id": 7605, "first_name": "Yue", "last_name": "Ge", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 173, "ror": "", "name": "The University of Central Florida Board of Trustees", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 7601, "first_name": "Christopher W", "last_name": "Zobel", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 7602, "first_name": "Naim", "last_name": "Kapucu", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 7603, "first_name": "Liqiang", "last_name": "Wang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 7604, "first_name": "Haizhong", "last_name": "Wang", "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": "This Smart & Connected Communities grant will leverage existing community partnerships and resources and evaluate the information technology applications aided by artificial intelligence in enhancing community resilience management. The east central Florida region (including 8 counties and 78 member towns/cities) is selected as a testbed for this project to improve community resilience practices through a regional data platform – Community Resilience Data Depot (CoRD2). Built on an interdisciplinary team with synergistic contributions from Emergency Management, Public Administration, Geography, Computer Science, Civil Engineering, and Operation Management, the project aims to augment the information and communication capacity of the east central Florida region and the Orlando metropolitan area to the next level via a sustainable partnership. The metrics to assess the extent and speed of achieving appropriate post-event functionality will help address a nationwide community capacity building need to quantitatively evaluate resilience increases by public-private partnerships. The research design assessing resilience changes will help decision makers in governments, businesses, and nonprofits to obtain a deeper understanding of how artificial intelligence-aided information technologies can advance collective decision making to reduce community vulnerability and enhance resilience.\n\nThe research involves developing an integrative framework to evaluate smart technology advances that foster community partnerships and enhance community connectedness in resilience management; filling research gaps in modeling community partnership characteristics and examining design and implementation networks among cross-sector partners for community resilience efforts; creating a holistic approach to comparing community resilience functionality changes by research intervention and an actual hazard event; and building CoRD2 for resilience data sharing and integration among public, private, and nonprofit sectors to support real-time collective decision making. The novel methodologies include collecting and calibrating multi-dimensional data from behavioral surveys, policy and plan documents, social media posts, and an in-house drill with pre-/post-surveys; creating converged metrics for evaluating community resilience from an organizational perspective; providing next-generation computational solutions for processing disaster response data flowing in the regional data platform as peak influxes; developing real-time machine learning algorithms and software capacities for social media big data analytics (texts and images); and modeling organizational resilience capacity and multidimensional community resilience functionality.\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": "2669", "attributes": { "award_id": "1850115", "title": "CRII: CHS: Modeling Analysis Behavior to Support Interactive Exploration of Massive Datasets", "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": 7824, "first_name": "Balakrishnan", "last_name": "Prabhakaran", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-09-01", "end_date": "2021-08-31", "award_amount": 175000, "principal_investigator": { "id": 7825, "first_name": "Leilani", "last_name": "Battle", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "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": "Scientists commonly use exploratory data analysis methods to gain insights from their data. However, increases in the number and granularity of data sources raise problems of scale that complicate the already difficult problem of developing tools that help analysts manage the often-changing goals and analysis trajectories suggested by their exploratory work. This project focuses on improving two key systems in exploratory data analysis tools: the visualization systems that provide graphical representations of the data, and the data management systems that efficiently manage large-scale data on the back end to support the analysis. The key idea is to integrate these two systems by first inferring analysts' goals and future behaviors from their recent actions in the visualization system, then using those to proactively construct efficient processing queries in the data management system. Doing this should improve system response times, which should in turn improve analysts' ability to use the system and the insights they gain; the techniques developed will contribute to the database, visualization, and human-computer interaction communities. The tools themselves stand to benefit a number of scientific and industrial domains, and the team will also use the project work to support new interdisciplinary data science courses along with outreach and research opportunities for underrepresented students in computer science.\n\nTo improve performance, this project will produce dynamic optimization strategies for visual exploration systems, which infer the user's exploratory analysis goals over time, and deploy optimization algorithms tailored to the current analysis goal. These optimizations will address both human performance, i.e., how effectively a scientist or analyst extracts insights and performs analysis tasks with a visual exploration system, and system performance, i.e., how efficiently and effectively the system responds to a user's interactions. The development of these optimizations will be done in two phases. First, a user study will be conducted to characterize how users interact with visual exploration systems under different exploratory data analysis scenarios and system designs. Second, using the collected study data, a predictive query execution engine will be designed to infer users' analysis goals from log data and detect shifts in behaviors over time. To boost data management system performance, existing techniques will be adapted to leverage the predictive query execution engine, including query scheduling of likely upcoming queries and multi-query optimization to leverage computational overlap between recent and predicted queries. To boost visualization system and human performance, the system will recommend predicted next queries to analysts, while the project team will conduct performance-driven interface design work to design new interactions based on data collected by the predictive query execution engine.\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": "2640", "attributes": { "award_id": "2026203", "title": "STTR Phase I: Haptics in Telerobotics for Improved Remote Dexterity", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)", "STTR Phase I" ], "program_reference_codes": [], "program_officials": [ { "id": 7713, "first_name": "Muralidharan", "last_name": "Nair", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-01-01", "end_date": "2021-12-31", "award_amount": 256000, "principal_investigator": { "id": 7715, "first_name": "William", "last_name": "Cortez", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 913, "ror": "", "name": "Tangible Research Inc.", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 7714, "first_name": "Jeremy", "last_name": "Fishel", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 913, "ror": "", "name": "Tangible Research Inc.", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to advance haptics - electromechanical systems that operate through the sense of touch. This technology may improve the performance of telemanipulation systems, making the operation similar to that of bare hands, and advance a new generation of robotic tools allowing humans to remotely feel and interact with environments at a distance. Early applications include scenarios where humans would be placed in dangerous (e.g., nuclear, chemical, deep sea, mining, and space), complicated (clean rooms and surgeries), or remote locations (remote maintenance). This technology may reduce the costs of telework (including improved access for those with disabilities), travel, and specialized, local healthcare workers. \n\nThis Small Business Technology Transfer (STTR) Phase I project will evaluate the contributions of realistic tactile and force feedback as well as biologically-inspired haptic reflexes in telemanipulation. Because experimental psychologists and physiologists have demonstrated that the absence of tactile sensory information is detrimental to the speed and dexterity of human hands, telerobot systems will seek to build these systems. This work seeks to advance haptics for improved telerobotics performance by making them robust to distraction and latency. Several technologies for force and tactile feedback, intelligent haptic reflexes, and control schemes will be developed and tested in a range of telerobotic tasks to evaluate their merits and suitability in candidate 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": "2677", "attributes": { "award_id": "1848166", "title": "CAREER:Potential of fiber acoustic sensing in the next-generation seismic networks", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "Geophysics" ], "program_reference_codes": [], "program_officials": [ { "id": 7860, "first_name": "Eva", "last_name": "Zanzerkia", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-04-15", "end_date": "2024-03-31", "award_amount": 493920, "principal_investigator": { "id": 7861, "first_name": "Zhongwen", "last_name": "Zhan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 211, "ror": "https://ror.org/05dxps055", "name": "California Institute of Technology", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 211, "ror": "https://ror.org/05dxps055", "name": "California Institute of Technology", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Scientists use large networks of seismic sensors to detect ground vibrations caused by earthquakes, in order to understand their physics and help mitigate related hazard. In regions with high seismic activity, such as California, there are dense networks with one seismic sensor every 10 to 30 km. However, past large earthquakes taught us that this station density is still not enough. Earthquake shaking can change dramatically from block to block, due to highly complex shallow soil structures. Furthermore, many small earthquakes are not detected by the current seismic networks, smearing our images of faults. With denser seismic networks, scientists will be able to better map earthquake faults and monitor their activities, also to provide more clear pictures of Earth interior.\n\nDistributed acoustic sensing (DAS) is an emerging technology that converts every meter of a long optical fiber to a seismic sensor, by shining a laser pulse into the fiber from one end and interrogating the \"echo\" scattered from fiber defects. DAS provides a scalable and affordable way to deploy a dense seismic network. This CAREER project will build the Pasadena Array, the first continuous city-scale fiber seismic network, to explore the potential of DAS in the next-generation seismic networks. The researcher will collaborate with the City of Pasadena to transform an existing telecommunication fiber network owned by the city to a seismic array with 50,000 sensors within 10km. The Pasadena Array will be a unique platform to test and characterize different generations of DAS instruments, develop data processing algorithms, and explore applications in seismology. The orders of magnitude increase in station density will push the limits of earthquake detection, basin structure imaging, and hazard assessment/mitigation. Ultimately, the Pasadena Array will serve as a template to build a million-sensor seismic network in Southern California, and transform how we design, build, and use seismic networks nationally and globally.The Broader Impacts of the project include the benefits enhanced knowledge of the impacts of earthquakes and the involvement of students in the Pasadena school system in better understanding seismic hazards.\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": "2652", "attributes": { "award_id": "1915101", "title": "2019 Neural Crest & Cranial Placodes Gordon Research Conference & Gordon Research Seminar (Italy, April 13-19)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "Organization" ], "program_reference_codes": [], "program_officials": [ { "id": 7758, "first_name": "Evan", "last_name": "Balaban", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-02-01", "end_date": "2020-01-31", "award_amount": 20250, "principal_investigator": { "id": 7759, "first_name": "Clare", "last_name": "Baker", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "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": "The Gordon Research Conference \"Interdisciplinary Approaches to the Neural Crest and Cranial Placodes\", and a preceding 2-day graduate student/postdoc-led Gordon Research Seminar on the same topic will be held from April 12-19 in Lucca, Italy. Neural crest and cranial placodes are transient embryonic structures made up from cells that would otherwise become skin in regions next to the embryonic brain; they are present only in animals with backbones (vertebrates). Crest and placode cells subsequently participate in extensive migrations, and contribute to an extraordinary diversity of different tissues in the body. Their evolution and elaboration are thought to have been critical for the evolution and diversification of vertebrate species. The symposium presents a unique opportunity to promote dialogue and exchange of ideas among investigators who work on very different aspects of neural crest and placode biology, and who normally would not be interacting at the same meeting venues. All speakers are expert investigators in their fields. Although the workshop is being held at a location in Italy, 17 out of the 39 already-confirmed scientific participants have appointments at US universities and research institutes. An expected outcome of the symposium is the development of new collaborations that will lead to novel work on fundamental questions about neural crest and placode development, function and evolution.\n \nThe Gordon Research Conference \"Interdisciplinary Approaches to the Neural Crest and Cranial Placodes\", and a preceding 2-day graduate student/postdoc-led Gordon Research Seminar on the same topic will be held from April 12-19 in Lucca, Italy. The vertebrate neural crest and cranial placodes are transient embryonic structures derived from skin cell precursors next to the embryonic brain, which undergo extensive migration and morphogenetic changes, and contribute to an extraordinary array of cell types. Their evolution and elaboration are thought to have been critical for the evolution and diversification of vertebrates. The symposium presents a unique opportunity to promote dialogue and exchange of ideas among investigators who work on very different aspects of neural crest and placode biology, and who normally would not be interacting at the same meeting venues. The invited speakers include investigators who study the gene regulatory networks and epigenetics of the neural crest and placodes; their role in birth defects and disease; and the developmental and evolutionary biology of neural crest and placodal cells. All speakers are expert investigators in their fields. An expected outcome of the symposium is the development of new collaborations that will lead to novel work on fundamental questions about neural crest and placode development, function and evolution.\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": "2693", "attributes": { "award_id": "1849657", "title": "Doctoral Dissertation Research: A Historical Study of Land Use Changes and Emerging Epidemics", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "STS-Sci, Tech & Society" ], "program_reference_codes": [], "program_officials": [ { "id": 7929, "first_name": "Frederick", "last_name": "Kronz", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-06-01", "end_date": "2020-05-31", "award_amount": 15120, "principal_investigator": { "id": 7931, "first_name": "Fredrik", "last_name": "Albritton Jonsson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 289, "ror": "https://ror.org/024mw5h28", "name": "University of Chicago", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 7930, "first_name": "Emily L", "last_name": "Webster", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 289, "ror": "https://ror.org/024mw5h28", "name": "University of Chicago", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "This award supports a doctoral dissertation research project that studies epidemic diseases in the British Empire. The researcher will develop a comparative study of three cities: Belfast, Melbourne, and Bombay. She will focus on the microbe, the colonial administrator, and the bacteriologist as the central actors in each of the three cases. She will do so by engaging in a study of archival documents and other sources to obtain a deeper understanding of the social, economic, and cultural complexities that make each region unique. She plans to show how specific features of the local environment in these three regions, when combined with plans of sanitary improvement and land use change espoused by the British Empire, served to produce unique environments in which particular microbes thrived. The proposed project draws from multiple disciplinary sources and is intended for multiple disciplinary audiences. The researcher plans to disseminate her research results at conferences and workshops sponsored by history departments, epidemiology and public health departments, public health policy centers, and organizations that engage in climate studies.\n\nThis project uses a historical frame while engaging with a number of central topics in the field of science and technology studies. It engages with the concept of nonhuman agency with its focus on the ecological specificity of microbes, and it uses Niche Construction Theory to access the localized environments and to draw out their relationship to microbial actors. Cultural construction of science and technology, particularly as it relates to imperialism and nineteenth century colonial practices, will also be an important element of consideration to this project. Using relatively new social scientific frameworks to guide this history, this project will engage with STS in its goal to induce new consideration of the agency of living objects and actor-network theory as a viable historical and social scientific frame.\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": "2724", "attributes": { "award_id": "1929329", "title": "Collaborative Research - HSI ATE Hub - Diversifying the ATE Program with Hispanic Serving Institutions using Culturally Inclusive Mentoring and ATE Resources", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Education and Human Resources (EHR)", "Advanced Tech Education Prog" ], "program_reference_codes": [], "program_officials": [ { "id": 8038, "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": "2018-08-24", "end_date": "2021-05-31", "award_amount": 269768, "principal_investigator": { "id": 8041, "first_name": "Caroline", "last_name": "VanIngen-Dunn", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 8039, "first_name": "Cynthia", "last_name": "Pickering", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 8040, "first_name": "Anna", "last_name": "Tanguma-Gallegos", "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": "Community Colleges enroll a higher percentage of Hispanic students than any other sector of higher education. Moreover, U.S. institutions of higher education are experiencing a growth trajectory of Hispanic student enrollment, with more than 2.3 million students currently enrolled. Hispanic Serving Institutions (HSIs) are essential points of access because they enroll a majority of all Hispanic college students and nearly half of all HSIs are community colleges. This project will bridge two NSF initiatives: Mentor-Connect (M-C) (DUE-1204463 and DUE-1501183) and KickStarter (KS) (HRD-1450661). These initiatives support community and technical colleges in learning about funding opportunities in relevant STEM programs at the NSF, and mentor institutional teams (faculty and administrators) in developing their project ideas, crafting a proposal, and submitting to the program of interest. To date, these two programs have collectively served 32 HSIs in nine states, with student enrollments ranging from 400 to 40,000 and Hispanic enrollment percentages ranging from 27% to 97%.\n\nThis project will enable Mentor-Connect and KickStarter to work together to: 1) support three annual cohorts of four teams from Community College-HSIs (CC-HSIs) with a program that combines the expertise of the two initiatives; 2) support the cohorts with mentors who are experienced ATE PIs, and/or with HSI-relevant ATE resources; 3) collect data on the effectiveness of the bridging strategy and augmentation activities; and 4) assess the impact as a proof of concept model for the ATE program (or any NSF program) to become more ethnically and racially diverse.\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": "2709", "attributes": { "award_id": "1926871", "title": "I-Corps: Virtual Clinical Trials Platform", "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": 7985, "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": "2019-03-15", "end_date": "2021-05-31", "award_amount": 50000, "principal_investigator": { "id": 7987, "first_name": "Ancha", "last_name": "Baranova", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 239, "ror": "https://ror.org/02jqj7156", "name": "George Mason University", "address": "", "city": "", "state": "VA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 7986, "first_name": "Harsha K", "last_name": "Rajasimha", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 239, "ror": "https://ror.org/02jqj7156", "name": "George Mason University", "address": "", "city": "", "state": "VA", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this I-Corps project would be to enable substantial improvements in clinical trial efficiency. Current industry wide average cost to bring a novel medicine through FDA approval has now exceeded $2.6 Billion. The average time for the same is 10 - 15 years. Typically, industrial customer spends an average of 16,000 to 26,000 US dollars per patient recruited into a phase I, II or III trial, with phase III recruitment costing the highest. With this project's innovative model assisting virtual clinical trials, the cost of recruitment alone can potentially come down significantly as the costs associated with multiple sites setup and monitoring would be eliminated. Each customer will also likely to see significantly reduced dropout during the trials, thereby reducing overall cost and compressing the schedule of the trial.\n\nThis I-Corps project develops a virtual siteless environment for clinical trials. This environment will reduce risks, accelerate trial recruitment using e-consent, aid in conducting multiple virtual follow-up sessions with trial participants without requiring their travel to trial sites. It will also enable collection of data continuously, through participants' wearable devices, web-deployable questionnaires and surveys, home based specimen collection kits or through home visits by a nurse or phlebotomists. This integrated environment for virtual clinical trials will potentially integrate a patient facing application for text, image, video and voice interactions, data hub for integration of clinical, molecular, and digital biomarkers as well as capture of health information.\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": "2625", "attributes": { "award_id": "2026152", "title": "SBIR Phase I: Fetal Monitoring During Exercise", "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": 7650, "first_name": "Alastair", "last_name": "Monk", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-09-01", "end_date": "2022-02-28", "award_amount": 255762, "principal_investigator": { "id": 7651, "first_name": "Ann", "last_name": "Holder", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 906, "ror": "", "name": "MARANI HEALTH, INC.", "address": "", "city": "", "state": "MN", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 906, "ror": "", "name": "MARANI HEALTH, INC.", "address": "", "city": "", "state": "MN", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to develop fetal heart rate monitoring technology as part of the wearable fitness technology market, empowering women and clinicians to manage maternal health during pregnancy. The proposed system can disrupt the traditional fetal monitoring methods as the only wireless solution enabling real-time, continuous monitoring when a pregnant woman is exercising. This technology will potentially improve the quality of health and wellness of women and their babies during pregnancy, having the potential to offer new evidence-based guidance. \n\nThis Small Business Innovation Research (SBIR) Phase I project addresses the technical challenge of developing a wearable fetal monitoring device for pregnant women, specifically tailored for use during exercise. The project will use dry electrodes designed to minimize motion artifacts and improve the quality of the recorded signal, embedded in an abdominal compression garment for ease of use and comfort. The project will also develop machine learning algorithms to separate the confounded maternal and fetal electrocardiogram (ECG) signals and movement artifacts. The project objectives include: (1) optimize spatial density of sensors for accurate measurements; (2) identify the best sensor-incorporating smart clothing design based on functionality; (3) develop and refine signal processing algorithms for accurate filtering and data analysis; and (4)validate the performance of the resulting prototype for accurate fetal monitoring during exercise.\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": 1405, "count": 14046 } } }