Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=2&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=3&sort=funder", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=funder" }, "data": [ { "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": "10439", "attributes": { "award_id": "2112345", "title": "STTR Phase I: A DLT Machine Learning Platform for Blockchain Warehousing", "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": 670, "first_name": "Anna", "last_name": "Brady", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-03-15", "end_date": "2022-11-30", "award_amount": 255916, "principal_investigator": { "id": 26436, "first_name": "Mohammad", "last_name": "Sadoghi", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1933, "ror": "", "name": "MOKA BLOX LLC", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this Small Business Technology Transfer (STTR) project improves the use of large-scale databases, data warehouses, and the software that used to commercially data-mine these resources. In the era of big data, many applications, such as machine learning and artificial intelligence, critically rely on data functionalities including efficiency, interoperability, and analysis. However, their data subsystems are challenged to meet these needs due to multiple technical limitations, such as centralized storage, homogeneous data formats, and tightly coupled workflows. This STTR project will develop a new framework to overcome these limitations to improve big data applications in various scientific fields, such as biological sciences, astronomy, and computational chemistry. At the end of this Phase I project, the requisite knowledge and foundational materials for developing a blockchain-based data warehousing middleware will be produced.\n\nThis STTR Phase I project proposes to advance the specific knowledge and commercialization of DLTs (Distributed Ledger Technologies) and blockchains by creating novel and innovative environments for further development for DLTs and blockchains as a \"virtuous cycle\", starting with bottlenecks identified in modern data warehouses. The DLT tool developed here advances blockchain protocols, specifically for removing quadratic and speculative costs from orthodox protocol-based approaches to blockchains on conventional hardware and instituting linearizable and constant costs with other innovative programming methods (e.g., probabilistic pruning). New statistical, topological, and computational approaches will be researched and developed for these purposes, including for development of techniques applicable for machine learning, artificial intelligence, peta-scale and exa-scale computing, advanced scientific computing, and pedagogical academic development of future generations. The expected results include a new set of protocols and a unified tool for integrating data types and multiple networks into conventional data warehouses, especially for advancement of data warehouses struggling to keep pace with new blockchain data, metadata, and real-time analytics.\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": "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": "10455", "attributes": { "award_id": "2050542", "title": "Building Capacity to Increase the Pool of Highly Qualified STEM Teachers in High-Need Texas School Districts with Predominantly Hispanic Student Populations", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Education and Human Resources (EHR)", "Robert Noyce Scholarship Pgm" ], "program_reference_codes": [], "program_officials": [ { "id": 1859, "first_name": "Mike", "last_name": "Ferrara", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-03-01", "end_date": "2022-05-31", "award_amount": 74970, "principal_investigator": { "id": 26459, "first_name": "David", "last_name": "Turner", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 26458, "first_name": "Angeli M", "last_name": "Willson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 404, "ror": "", "name": "St Mary's University San Antonio", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "This project aims to address the need for science, technology, engineering, and mathematics (STEM) K-12 teachers at both the national and regional level. Toward this aim, St. Mary’s University, a four-year Hispanic Serving Institution in San Antonio, Texas, will work with local education agency partners to evaluate and build capacity within its STEM Teacher Certification programs. The project will focus broadly on improving the pipeline for STEM majors seeking teacher licensure. In addition, it will encourage STEM pre-service teachers to teach in high-need schools and develop strategies and resources to support STEM pre-service teachers through their undergraduate studies and early stages of their professional K-12 teaching careers. This effort will include a careful investigation of available resources that might influence the development of an effective teacher preparation program and partnerships with local school districts. The project will also work to understand factors that impact Hispanic and other students as they make educational and career choices. \n\nThis project at St. Mary’s University includes partnerships with the Northside Independent School District (Northside ISD) and the San Antonio ISD. Project goals include: 1) analyzing baseline data to explore the need for highly qualified STEM teachers in the partner local education agencies; 2) understanding the motivations and obstacles faced by Hispanic and other students as they make educational and career choices, particularly whether to major in STEM fields and to pursue a career as a K-12 STEM educator; 3) evaluating the existing university infrastructure for a robust program for student recruitment and STEM teacher preparation; and 4) developing a comprehensive plan to enhance the University’s ability to (a) successfully recruit, retain, and graduate talented students as STEM teachers; and (b) to support them during their first year as teachers in high-needs school districts. The project will generate new knowledge about effective recruiting and support mechanisms for diverse pre-service teachers, in partnership with school districts that have predominantly Hispanic student populations. Project outcomes are expected to contribute to ongoing efforts to broaden participation in K-12 STEM teaching. This Capacity Building project is supported through the Robert Noyce Teacher Scholarship Program (Noyce). The Noyce program supports talented STEM undergraduate majors and professionals to become effective K-12 STEM teachers and experienced, exemplary K-12 teachers to become STEM master teachers in high-need school districts. It also supports research on the persistence, retention, and effectiveness of K-12 STEM teachers in high-need school districts.\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": "2556", "attributes": { "award_id": "2018094", "title": "Perceived Causes and Clarity of Financial Market Jumps", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "Economics" ], "program_reference_codes": [], "program_officials": [ { "id": 7350, "first_name": "Nancy", "last_name": "Lutz", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-08-01", "end_date": "2023-07-31", "award_amount": 520000, "principal_investigator": { "id": 7353, "first_name": "Scott", "last_name": "Baker", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 407, "ror": "", "name": "National Bureau of Economic Research Inc", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 7351, "first_name": "Nicholas", "last_name": "Bloom", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 7352, "first_name": "Steven J", "last_name": "Davis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 407, "ror": "", "name": "National Bureau of Economic Research Inc", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "Abstract\n\nThis project examines what causes stock market jumps by exploring and characterizing next-day newspaper accounts of daily stock market moves both in the United States and a range of other countries. This project advances the body of knowledge in this area in both the scale and the scope. The project examines over 5,000 stock market jumps in 15 countries back to the 1900s and characterizes information on what triggered the jump through human processing. The project further explores the geographic source of the market-moving information, and the clarity of perceptions about the reasons for the jump. Considering stock market jumps of different types and levels of clarity indicate different downstream effects on market volatility.\n\nThis project explores stock market jumps by examining newspaper accounts over a long time period and for a large set of countries. The project examines the significant role the United States plays in global stock markets, particularly since 1980. The project further explores the countercyclical role of government policy; jumps associated with monetary policy and government spending are the most over-represented following negative non-policy market moves. The project further investigates the impact of both the cause and the clarity of stock market jumps on future market volatility. Jumps driven by non-policy events and jumps that are less clearly attributed to a single cause tend to have significant positive effects on volatility over the next days and weeks.\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": "2573", "attributes": { "award_id": "2015419", "title": "Collaborative Research: RoL: The evo-devo of male pregnancy and its effects on the brood pouch microbiome", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "Evolution of Develp Mechanism" ], "program_reference_codes": [], "program_officials": [ { "id": 7428, "first_name": "Anna", "last_name": "Allen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-08-01", "end_date": "2023-07-31", "award_amount": 586223, "principal_investigator": { "id": 7429, "first_name": "Adam", "last_name": "Jones", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 627, "ror": "", "name": "Regents of the University of Idaho", "address": "", "city": "", "state": "ID", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 627, "ror": "", "name": "Regents of the University of Idaho", "address": "", "city": "", "state": "ID", "zip": "", "country": "United States", "approved": true }, "abstract": "The evolution of novel traits can change the way that organisms interact with their environments to survive, grow and reproduce. Deep knowledge of the underlying genes and developmental changes that underly most evolutionary innovations is sparse, as is understanding of the ecological consequences for both the organisms in which novel traits emerged and the organisms with which they interact in communities. A particular gap in understanding is how the evolution of novel traits influences the biodiversity of their associated microbial communities. This project will help fill this gap in our knowledge by studying a remarkable innovation – male pregnancy in seahorses, pipefish and seadragons. This project will include the creation of new genome sequences and detailed studies of the developmental genetic underpinnings of the embryo brooding structures that make male pregnancy possible. The consequences of pouch evolution on the complexity and function of the community microbes in the pouch will also be studied, as well as how this unique host-associated microbiota can affect the fitness of embryos in the pouch. This project will provide research training to high school students, teachers, and undergraduates from underrepresented groups through immersive outreach and targeted support programs. The project will also support training of the next generation of scientists via education of Ph.D. students and postdoctoral scholars. Outreach to general public will be accomplished through public talks and through creation of a museum exhibit on syngnathid biology paired with web resources to support K-12 education.\n\nMale pregnancy, accompanied by morphologically diverse embryo brooding structures, is a defining evolutionary innovation in syngnathid fishes. The goal of this project is to build an integrative understanding of the developmental genetic origin of this remarkable syngnathid novelty and its role in mediating multi-level ecological interactions with host-associated microbiota. This project will include production of 19 new annotated reference genomes strategically sampled across the syngnathid lineage, morphogenetic analysis and transcriptional/epigenetic profiling of the developing pouch in a comparative framework that leverages the repeated, independent evolution of complex brooding structures in the family, and analysis of brood pouch biocomplexity as a determinant of pouch-associated microbiome assembly. When complete, this project will provide novel insights into genome structural evolution in syngnathids, identify protein sequence and gene regulation changes involved in brood pouch development, and address whether the evolution of the brooding tissues created specialization in host regulation of microbiota with consequences for brooded progeny. The work will attract new researchers to syngnathids for studies of evolutionary innovation and diversification. The project will provide research training to high school students, teachers, and undergraduates from underrepresented groups, and will support education of graduate students and postdoctoral scholars, including the opportunity to take intense short courses to learn next generation sequencing, bioinformatics, complex statistical analyses, and genome editing. Educational outreach to general public will be accomplished through public lectures by the PIs, and through creation of a museum exhibit on syngnathid biology, which will be paired with an associated web resource directed toward K-12 education.\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": "2600", "attributes": { "award_id": "2026135", "title": "SBIR Phase I: Using Automation to Deliver Photo-Realistic Clothing Simulations for Virtual Fittings", "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": 7550, "first_name": "Peter", "last_name": "Atherton", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-08-01", "end_date": "2021-09-30", "award_amount": 256000, "principal_investigator": { "id": 7551, "first_name": "Marcelino", "last_name": "Rodriguez Cancio", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 900, "ror": "", "name": "COUTURE TECHNOLOGIES LLC", "address": "", "city": "", "state": "TN", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 900, "ror": "", "name": "COUTURE TECHNOLOGIES LLC", "address": "", "city": "", "state": "TN", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact of this Small Business Innovation Research (SBIR) Phase I project will be to demonstrate the feasibility of the virtual garment creation and try-on system. As businesses increase their e-commerce presence, they face a major challenge: the high rate of returns in e-commerce. The return rate for online purchases exceeds that of in-store purchases by roughly 4 to 1, with customers (52-74%) citing dissatisfaction with the garments’ fit as the primary reason for returns. A reduction in returns as small as 1% could keep over 50 million pounds of goods out of the landfill and return $2.3 B to fashion retailers. This Phase I project is aimed at developing a sophisticated process using 3D modeling and fabric simulation technologies to enable customized fit and sizing visualizations prior to purchase. \n\nThis Small Business Innovation Research (SBIR) Phase I project will demonstrate the feasibility of the virtual garment creation system by using machine learning, numerical simulations and 3D graphic rendering to generate virtual garments based on (i) images and text that describe the garment and (ii) a minimum set of measurements of the customer's body. This process will advance the translation of novel approaches to combining artificial intelligence and 3D representation of a deformable shape in a computationally efficient manner.\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": "2500", "attributes": { "award_id": "2017789", "title": "Equity and Sustainability: A framework for Equitable Energy Transition Analyses", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "EnvS-Environmtl Sustainability" ], "program_reference_codes": [], "program_officials": [ { "id": 7114, "first_name": "Bruce", "last_name": "Hamilton", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-07-01", "end_date": "2023-06-30", "award_amount": 399915, "principal_investigator": { "id": 7116, "first_name": "Destenie", "last_name": "Nock", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 243, "ror": "", "name": "Carnegie-Mellon University", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 243, "ror": "", "name": "Carnegie-Mellon University", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true }, "abstract": "Decisions regarding transitions from traditional energy sources such as fossil fuels to more sustainable, renewable energy systems impact multiple constituencies, including the most vulnerable members of society. This research addresses two questions: (1) What are transition pathways from non-renewable energy sources (such as fossil fuels) to renewable energy sources (such as wind and solar) for the US electricity sector that can best balance the (sometimes conflicting) objectives of the transition, while accounting for social equity and sustainability? (2) How can transition to a low-carbon electricity system be done in a way that minimizes adverse impacts on the most vulnerable members of society? This research targets creating a new way to account for social equity in the sustainability analysis of transitions to new energy systems, which may help guide decision-makers. \n\nThere are many decision makers and constituencies in energy system planning, each of which may make decisions or influence decisions according to their own versions of the desired goals. This research builds and expands upon previous research in three key ways that permit a more robust sustainability assessment of future electricity systems, and incorporates social equity into the energy transition discussion. First, an electricity system expansion model is coupled with a system sustainability model and then examined to ask how increasing carbon constraints are likely to impact power system development, and how important regional cooperation is likely to be in achieving a fully decarbonized US electricity system. Second, social equity will be an integral part of the sustainability analysis framework, thus displaying how other facets of sustainability impede or support an equitable energy transition. Third, to illuminate the social equity trade-offs, how regional cooperation may impact job and price equity around the country will be investigated. This research will be a system sustainability analysis for the entire US that incorporates multiple metrics for social equity, while capturing impacts of integrating intermittent renewables in the grid. The PI will develop an open-source data analysis tool for electricity sustainability analysis, enriching the discussion and uncovering the interactions among sustainability criterion at a national scale. The social equity focused framework is targeted to facilitate national discussions about how energy transition will impact communities in the US. This framework may also help support planning for job recovery of those most affected by the retirement of fossil fuel generation.\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": "10755", "attributes": { "award_id": "2234873", "title": "Colorimetric Lateral Flow Assay Using Unique Hollow Nanoparticles as Labels", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "BIOSENS-Biosensing" ], "program_reference_codes": [], "program_officials": [ { "id": 961, "first_name": "Aleksandr", "last_name": "Simonian", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-06-01", "end_date": "2026-05-31", "award_amount": 400000, "principal_investigator": { "id": 26816, "first_name": "Xiaohu", "last_name": "Xia", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "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": "Test strip assay is an accessible in-home or point-of-care testing technology. At-home COVID-19 antigen tests are one example of this type of testing, which is also called colorimetric lateral flow assay (CLFA). CLFA can be used outside the laboratory, performed by a non-skilled person, and results can be read with the human eye, without the need of any equipment. Despite the simplicity of CLFA, its detection sensitivity is relatively low compared to other equipment-based diagnostic technologies. The goal of this project is to substantially improve the sensitivity of CLFA technology while retaining its simplicity through the development of a unique type of nanoparticle. This project will engage high school, undergraduate and graduate students in research. Activities include mentored research experiences for undergraduate students, research experiences for high school students through the “Highschool Summer Research Internship” program, and the implementation of a new course “Chemical Synthesis of Biomaterials.”\n\nColorimetric lateral flow assay (CLFA) is one of a handful of diagnostic techniques that can be used outside the laboratory without requiring skilled personnel and equipment. The current bottleneck for CLFA development is its relatively low detection sensitivity due to the weak color signals from colorimetric labels. For decades, gold nanoparticles (AuNPs) have been extensively used as colorimetric labels for CLFA because of their good physicochemical properties, including the display of a characteristic red color due to their plasmonic activities. Nevertheless, it remains a challenge to substantially enhance the intensity of the red color and thus the detection sensitivity of AuNPs-based CLFAs. This project aims to break through the detection limit barrier of CLFA by developing Au/Ag (gold/silver) alloyed hollow nanoparticles (Au/Ag HNPs) that can be used as alternatives to AuNPs. Compared to conventional AuNPs, the Au/Ag HNPs possess much stronger plasmonic activities. In addition, they have lower densities because of the hollow interiors, which facilitates smooth migration of particles in CLFA test strip. These distinct features of Au/Ag HNPs enable them to be sensitive labels for CLFA that can significantly advance the power of the assay without compromising its simplicity.\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": 2, "pages": 1424, "count": 14236 } } }