Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1405&sort=-other_investigators
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-other_investigators", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1405&sort=-other_investigators", "next": null, "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1404&sort=-other_investigators" }, "data": [ { "type": "Grant", "id": "10795", "attributes": { "award_id": "2313449", "title": "RAPID: Collaborative Research: Electrospun Nanofibrous Air Filters for Coronavirus Control", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "Nanoscale Interactions Program" ], "program_reference_codes": [], "program_officials": [ { "id": 971, "first_name": "Nora", "last_name": "Savage", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-11-01", "end_date": "2023-04-30", "award_amount": 130000, "principal_investigator": { "id": 5518, "first_name": "Yun", "last_name": "Shen", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 153, "ror": "", "name": "University of California-Riverside", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 174, "ror": "https://ror.org/00y4zzh67", "name": "George Washington University", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true }, "abstract": "A collaborative team consisting of researchers from The George Washington University and the University of California, Riverside is developing electrospun nanofibrous air filters for controlling the transmission of coronavirus, including SARS-CoV-2. The pandemic of COVID-19 has raised a significant public health concern in 2020. The spread of COVID-19 is difficult to control, because SARS-CoV-2 is environmentally persistent and it can potentially be suspended in aerosols for long-range, airborne transmission and infection. Air filtration is crucial to control SARS-CoV-2 transmission, however most air filters used in residential, commercial, and industrial buildings are not effective for retaining viruses. As personal protective equipment for healthcare personnel or even the general public, respirators and masks that can effectively capture the virus are also urgently needed for this pandemic. Electrospinning has emerged as a novel technology to synthesize non-woven nanofibrous mats, and it is both industrially viable for large-scale manufacturing and deployable onsite for small-scale applications by a portable device. The fabricated nanofibrous mats are ideal for air filtration, because they have a reduced pore size to efficiently capture the virus, a large porosity to reduce air pressure drop in filtration, well-controlled properties, and mechanical robustness and flexibility. This RAPID research project will rationally design and fabricate novel nanomaterial-based air filters for coronavirus control, understand the interplay between viral pathogens and nanomaterials in complex environmental matrices, and initiate a fast response for protecting the public health with engineering tools. The project will provide training to students in science and engineering areas and offer them hands-on research experience, and introduce students from diverse backgrounds and educational levels, particularly those from underrepresented groups, to cutting-edge research in STEM. In addition, the project will disseminate the acquired knowledge through education modules, scientific journals and conferences, and science fairs, which will help increase the scientific literacy of the general public. \n\nThe research team aims to rationally design and fabricate electrospun nanofibrous air filters that are effective, low-cost, scalable, and easy for implementation for coronavirus control, including SARS-CoV-2, and to understand the mechanism of coronavirus removal in air filtration. The researchers will first develop electrospun nanofibrous air filters with diverse morphologies, retained charges, and selective binding sites to enhance the capture of bioaerosols containing coronavirus. Coronavirus removal efficiency under different environmental conditions will next be evaluated to understand the performance and robustness of the air filters. Key virus-nanomaterial interactions will be identified with the aid of both simulation and experimental tools, which can guide future air filter design and optimization. For this RAPID project, the researchers will also test the performance of air filters for removing SARS-CoV-2 in a healthcare facility that houses COVID-19 patients. The proposed research will contribute significantly to nanotechnology, microbiology, and environmental engineering, and it can be potentially transformative in the field of materials at large in terms of multiscale, rational, functional design. It will not only provide a rapid response to COVID-19 outbreaks and public health protection, but also be translated into controlling other virulent pathogens. The project will provide training to students in STEM, particularly introduce students from underrepresented groups and students from diverse backgrounds and educational levels to cutting-edge research. Moreover, the project will disseminate the acquired knowledge to help increase the scientific literacy of the general public.\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": "10797", "attributes": { "award_id": "2313212", "title": "COVID-Inspired Data Science Education through Epidemiology", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Directorate for STEM Education (EDU)", "ITEST-Inov Tech Exp Stu & Teac" ], "program_reference_codes": [], "program_officials": [ { "id": 8565, "first_name": "Margret", "last_name": "Hjalmarson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-01-15", "end_date": "2024-02-29", "award_amount": 1226321, "principal_investigator": { "id": 1643, "first_name": "Janice", "last_name": "Mokros", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 373, "ror": "", "name": "Science Education Solutions Inc", "address": "", "city": "", "state": "NM", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1966, "ror": "", "name": "TUMBLEHOME, INC.", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "The ongoing COVID-19 pandemic provides a starting point for empowering young people to understand uses of data science through epidemiology. Through this program, 400 underserved youth nationwide will engage in a 15-hour out-of-school multimedia program centered on a project-developed text, The Case of the COVID Crisis, which is integrated with data activities, modeling, animations, and career exploration. Participants will: 1) Learn to use data tools and models to track the spread of infectious diseases; 2) Develop an understanding of how to ask and address their own questions of data; and 3) Gain confidence in their ability to use data to study and communicate to local audiences about epidemiological challenges. The program is also aimed at encouraging youth’s interest in the myriad careers of the data-rich discipline of epidemiology. The project will achieve these goals through a multifaceted partnership involving Science Education Solutions, Tumblehome Books, Imagine Science/STEM Next, Concord Consortium, Jackson Laboratory (JAX), Strategic Learning Partners for Innovation, and the PEAR Institute (Partnerships in Education and Resilience).\n \nDatasets and tools are entering everyday usage at a rapid rate, especially during the pandemic. The project’s research breaks new ground on how youth, especially those who traditionally have not had access to data tools in school, begin using these tools to address the spread of COVID-19 and other diseases. This research is based on cultural historical activity theory, and employs a mixed methods approach involving surveys, documentation, and artifact analysis. The research will contribute to the field of data science education by: 1) Elucidating the ways in which youth use datasets and data tools to ask epidemiological questions, examine patterns, and make predictions; 2) Studying how youth become motivated to engage in work in the intersection of data science and epidemiology; and 3) Examining the affordances of a multifaceted intervention integrating pedagogical strategies, including the use of narrative, inquiry-based data activities, accessible data tools, animations, and career exploration. The project also will make an important contribution to the burgeoning area of K–12 epidemiology education by incorporating authentic, personally relevant data into out-of-school programming. This project is funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.\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": "10800", "attributes": { "award_id": "2237430", "title": "CAREER: Aerosol transport in well-defined periodic porous metamaterials", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "PMP-Particul&MultiphaseProcess" ], "program_reference_codes": [], "program_officials": [ { "id": 1490, "first_name": "William", "last_name": "Olbricht", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-02-01", "end_date": "2028-01-31", "award_amount": 615000, "principal_investigator": { "id": 26881, "first_name": "Catherine", "last_name": "Fromen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 442, "ror": "https://ror.org/01sbq1a82", "name": "University of Delaware", "address": "", "city": "", "state": "DE", "zip": "", "country": "United States", "approved": true }, "abstract": "Tiny solid or liquid droplets suspended in air called ‘aerosols’ are all around us and have major impacts to our health and environment. Aerosols of certain properties can deposit in the human airway, with potential detrimental outcomes, such as the spread of airborne diseases such as COVID-19, or positive outcomes, such as inhalers that deliver medicines or vaccines. In these examples, the lung effectively acts as a porous filter, collecting some fraction of inhaled aerosols as they travel through the complex airway structure. The movement of aerosols through porous structures such as the lung is very difficult to predict and depends on the background airflow, the local porous structure, and the individual aerosol properties. This Faculty Early Career Development Program (CAREER) award seeks to understand how aerosols travel through porous structures with similar porosities to the human lung using model porous materials with a regular and well-defined structure. Leveraging this understanding of aerosol movement in regular porous structures could ultimately lead to development of better inhalable medicines or protection against environmental exposures. This award will also involve a set of educational activities related to the scientific work that seek to diversify the scientific pipeline, support public engagement with scientific communication, and mentor socially aware research scientists.\n\nThe overall objective of this award is to build fundamental understanding of aerosol transport through well-defined porous lattices, using both experimental and computational multiphase approaches. Aerosol transport within lattices will be studied to establish predictive fundamental relationships within uniform lattices, as well as deposition within asymmetric and patterned lattices, under cyclic flow profiles, and within tapered pipes. Knowledge of deposition within varied lattice designs will then be implemented to approximate spatial deposition in an innovative dynamic lung model, using lattice structures to provide meaningful spatial approximations of inhaled aerosols that map to anatomic regions of the human lung. This award also aims to integrate educational activities to empower scientific communicators and strengthen multilayered student communities for student success and STEM engagement. This award represents a synergistic research methodology to enhance the mechanistic understanding of aerosol dynamics within periodic, well-defined porous structures while growing a sustainable and integrated approach to educational STEM impacts.\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": "10801", "attributes": { "award_id": "2310925", "title": "Travel: CIF: Student Travel Support for the 2023 IEEE International Symposium on Information Theory", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Comm & Information Foundations" ], "program_reference_codes": [], "program_officials": [ { "id": 1867, "first_name": "Phillip", "last_name": "Regalia", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-01-01", "end_date": "2023-12-31", "award_amount": 15000, "principal_investigator": { "id": 26882, "first_name": "Chih-Chun", "last_name": "Wang", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 252, "ror": "", "name": "Purdue University", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "The IEEE International Symposium on Information Theory (ISIT) is the premier international conference on information theory, the scientific discipline that studies the mathematical foundations of efficient, reliable, and secure communications, with applications in telephony, television, wireless, optical, and data storage systems. The performance benchmark provided by information theory has successfully guided engineers in the design of ever more efficient coding systems that leverage the technological advances to closely approach fundamental limits. The Symposium focuses on the presentation of previously unpublished contributions in all areas of information theory, including big data analytics, communication theory and systems, cryptography and security, and various emerging applications. The pandemic in years 2020 to 2022 resulted in significant disruption to international conference travel. ISIT-2023 is expected to be the first edition after the pandemic that will be fully back to normal with the travel restrictions from around the globe being lifted. Attendance by student researchers to the Symposium is especially crucial to the continued vitality of the field of Information Theory, which, if history is to serve as an indicator, is the basis for US competitiveness in the fields of data transmission, storage, compression and security. In addition, an outstanding benefit of the Symposium is the close personal interaction between senior and junior workers in information theory, which encourages the free exchange of ideas and critical comments. The opportunities for cross-fertilization are immense and it is vital that those who are new to the field and bring fresh ideas be present to discuss their work with those who are more experienced. The travel support from NSF will significantly ease the burden of the attending students, given the expected higher-than-normal cost of international travel in the summer of 2023.\n\nIn the past few years (pre-pandemic), the attendance at IEEE ISIT has varied between 750 and 925, typically including over 300 students. Among them, 40% are students enrolled in graduate or undergraduate programs in the United States, who will benefit directly from this travel support grant. In the last few years, ISIT has had significant participation from women engineers, with about 40% female student participation. The student travel grant will be administered to ensure that no less than 45% of the awards are women recipients, which will continue promoting a healthy and diverse study participation that is key to the vitality of the community. While the travel support will be given mostly to student authors who will present technical papers during the conference, a portion of the US NSF Student Travel Grant will be reserved for US graduate/undergraduate students who will attend the conference for the first time and may not have a paper/ presentation/poster/demo at the conference. Preference will be given to students from under-represented groups (e.g., women, minorities and people with disabilities). The introduction of this new category will ensure a broader, more diverse student participation and also promote student interest in the broad STEM areas in general.\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": "10803", "attributes": { "award_id": "2239410", "title": "CAREER: Evolutionary Games in Dynamic and Networked Environments for Modeling and Controlling Large-Scale Multi-agent Systems", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "EPCN-Energy-Power-Ctrl-Netwrks" ], "program_reference_codes": [], "program_officials": [ { "id": 26885, "first_name": "Eyad", "last_name": "Abed", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-09-01", "end_date": "2028-08-31", "award_amount": 503462, "principal_investigator": { "id": 26886, "first_name": "Ceyhun", "last_name": "Eksin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 282, "ror": "", "name": "Texas A&M Engineering Experiment Station", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "Classical game theory addresses how individuals make decisions given suitable incentives, for example, whether to use resources rapaciously or with restraint. However, game theory does not typically address the consequences of the actions that reshape the resources over the long term. Indeed, individuals' actions often subsequently modify the commons (environment) and associated payoffs. In this project, we propose a unified mathematical framework to model and analyze the coupled evolution of individuals' incentives, opinions, and the environment using tools from game theory, network science, and nonlinear dynamic systems. Based on the mathematical framework, the proposed project is organized to study fundamental issues relating to (a) when and how desirable behavior, e.g., cooperative behavior, arise in the populations, and (b) whether tragedies of the commons can be averted in complex systems, e.g., during a pandemic. Scientific contributions of this project will have the potential to have a transformational impact on our understanding of the emergence of cooperation and environmental collapse in public health systems where individuals' actions affect the resources, and in engineered multi-agent systems, e.g., autonomous or energy systems, that involve self-interested entities. The overarching goals of the project are rooted in an educational agenda with initiatives, e.g., a summer residential research experience for educators, designed to expose the broader public to central concepts in game theory and nonlinear systems, and push for a systems-thinking perspective on societal problems.\n\nThe premise of this project is that individual behavior is dynamic, i.e., evolves according to selection or learning, and such learning behavior has subsequent effects on the environment, and thus on the future incentives for learning. The proposed research is a concerted effort to develop a mathematical framework for studying population behavior when the population’s well-being depends on the environment that the behavior is affecting. The proposed research aims to achieve the following scientific contributions: 1) novel models of strategic learning dynamics in feedback-evolving games with relevance to socio-biological and -technological systems including epidemics and autonomous systems; 2) decentralized algorithms for tracking rational behavior in dynamic network games; 3) a framework for dynamic intervention mechanisms to induce desirable system-level behavior in such settings; 4) design and analysis of experiments to uncover the role of peer effects and ambiguity on perceived risks on cooperation. This effort will lead to novel analysis, and scalable decentralized algorithms applicable to addressing real-world problems in social and technological multi-agent systems.\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": "10804", "attributes": { "award_id": "2243213", "title": "BCSER-IID: Foundations for a STEM What Work Clearinghouse for Broadening Participation Research in STEM Education", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Directorate for STEM Education (EDU)", "ECR-EDU Core Research" ], "program_reference_codes": [], "program_officials": [ { "id": 8210, "first_name": "Andrea", "last_name": "Nixon", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-15", "end_date": "2022-09-30", "award_amount": 318639, "principal_investigator": { "id": 1425, "first_name": "Erin", "last_name": "Lynch", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 314, "ror": "https://ror.org/02h63je06", "name": "Quality Education for Minorities Network", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 314, "ror": "https://ror.org/02h63je06", "name": "Quality Education for Minorities Network", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true }, "abstract": "The proposed project will lay the foundation for a clearinghouse of broadening participation STEM education research at Historically Black Colleges and Universities (HBCUs). The clearinghouse is envisioned as an online platform that will be populated with data collected through a systematic literature review during this initial phase. The investigator used the Vitae Researcher Development Framework to identify the STEM education research skills gaps that will be the focus of a comprehensive professional development. The professional development domains include knowledge and intellectual abilities; personal effectiveness; research governance and organization; and engagement, influence and impact. The goals will be accomplished by completing formalized training in meta-analysis research design and methodology, acquiring training in database foundations and data analytics, and receiving mentoring. The project will position the investigator to contribute scholarship that informs effective interventions at HBCUs and topics for future research. \n\nThe research project will produce a meta-analysis of NSF-funded broadening participation interventions at HBCUs by answering two research questions: (1) What broadening participation research interventions work and for whom? and (2) What are the mean corrected correlations between program traits in NSF-funded HBCU broadening participation interventions and student success metrics at HBCUs? The research design is a quantitative retrospective systematic review. The rationale for this design selection is the power of meta-analytical studies for researchers. The research will be guided by expert mentors and informed by the expertise acquired through structured professional development activities. The research project, in the long term, is expected to provide accessible empirical data for investigators to conduct robust broadening participation in STEM education research studies. \n\nThe project is supported through the EHR Core Research Building Capacity in STEM Education Research competition that is designed to build individuals' capacity to carry out high quality fundamental STEM education research in STEM learning and learning environments, broadening participation in STEM fields, and STEM workforce development.\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": 1405, "pages": 1405, "count": 14046 } } }