Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1405&sort=-keywords
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Place-based mobility-centric prediction models (PBMC) use human mobility data - together with other contextual information - to predict spatio-temporal statistics of significance to decision makers. For example, mobility patterns that reflect (lack of) compliance with travel restrictions and stay-at-home orders have been used to predict the number of covid-19 cases over time. However, the data used to train PBMC models can suffer from different types of bias that might in turn affect the fairness of the predictions. For example, under-reporting in the covid-19 case data used to train PBMC models might produce predictions that are wrongfully low, which could lead a decision maker to, for example, not locate a covid-19 testing unit in a given neighborhood. This project presents a set of approaches to mitigate - in a transparent and interpretable manner - a diverse set of bias present in PBMC models for two high-stakes settings: public health and public safety. In addition, by providing insights into the processes that led to the embedding of bias in the data and into the effects of bias on the fairness of the models, this project will hopefully move PBMC models closer to broad adoption in policy settings. This project will also offer educational opportunities for graduate and undergraduate students as well as computing workshops for high school students and under-represented genders in computing with a focus on the value of PBMC models, human mobility data and fairness for high-stakes settings.\n\nThe technical contributions of this project are divided in three thrusts. Thrust one will provide a novel PBMC prediction model - that can work with different neural architectures - to predict reported place-based statistics while mitigating for potential under-reporting bias. Thrust two will create a novel sampling bias mitigation approach to correct for under-represented groups in human mobility data collected from cell phones. Thrust three will produce novel transfer learning approaches to mitigate for algorithmic bias, i.e., low performing models in data-scarce regions. The thrusts proposed have been designed in a modular way, to allow for the layered combination of data and algorithmic bias mitigation approaches in end-to-end mitigation frameworks that are evaluated for fairness and accuracy. All bias mitigation methods are accompanied by novel interpretability approaches to distill the social determinants that might explain how the bias was embedded into place-based statistics and mobility data; as well as to identify the role that different model components might play in the mitigation itself. Our research outcomes will advance the state of the art in the design of transparent and interpretable bias mitigation approaches for PBMC models with evaluations in two high-stakes settings: public health and public safety.\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": "10025", "attributes": { "award_id": "2240769", "title": "GRC Fluids and Health 2022: Fluids in Disease Transmission and Contamination", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "EnvE-Environmental Engineering" ], "program_reference_codes": [], "program_officials": [ { "id": 1123, "first_name": "Mamadou", "last_name": "Diallo", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-01", "end_date": "2023-08-31", "award_amount": 30000, "principal_investigator": { "id": 5378, "first_name": "Lydia", "last_name": "Bourouiba", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 210, "ror": "https://ror.org/042nb2s44", "name": "Massachusetts Institute of Technology", "address": "", "city": "", "state": "MA", "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 COVID-19 pandemic has demonstrated how a respiratory pathogen that emerged in one part of the world can quickly spread globally, paralyze entire economies, and bring local and national healthcare delivery systems to the brink of collapse. Early successes in the use of non-medical interventions to reduce the spread of COVID-19 have highlighted the need for efficient and cost-effective technologies and solutions to mitigate and prevent the spread and transmission of respiratory pathogens in the built environment including residential/commercial buildings, schools, and healthcare/recreational facilities. However, a fundamental understanding of the transmission and spread of respiratory pathogens in the built environment and communities has remained elusive. The proposed Gordon Research Conference (GRC) will be devoted to the critical and important topic of “Fluids in Disease Transmission and Contamination.” The GRC will bring together a group of experts and stakeholders from a broad range of disciplines and fields including fluid dynamics, environmental engineering, applied and computational mathematics, epidemiology, microbiology, virology, and public health. The conference will provide a unique forum for scientific, engineering, and public health communities that rarely meet or interact to discuss and assess the current level of understanding of the fluid dynamics and multiphase transport of pathogen and disease transmission along with its public health implications. This NSF award will enable the conference organizers to broaden participation to the GRC by providing travel grants (including registration costs) to early career researchers including women, junior faculty, post-doctoral researchers, and students from underrepresented groups. \n\nThe COVID-19 pandemic has highlighted critical knowledge gaps in the fundamental understanding of the fluid dynamics and multiphase transport of pathogen and disease transmission. Pathogens are transported in fluid phases – air, water, and biological fluids including blood and saliva. In addition, fluid dynamics and multiphase transport play key roles in the design and implementation of efficient and cost-effective pathogen decontamination technologies. Yet, limited research has been devoted to the fluid dynamics and multiphase transport of pathogen and disease transmission in the built environment and communities. The proposed 5-day Gordon Research Conference (GRC) on “Fluids in Disease Transmission and Contamination” will be held in August 14-18, 2022, at Mount Holyoke College (MA). The conference will bring together a group of scientists, engineers, clinicians, public health researchers, and infection control practitioners at various stages of their careers and provide them with a forum to discuss the science, engineering, and healthcare implications of the fluid dynamics and multiphase transport/physics of pathogen and disease transmission. The conference program and discussion will be structured around nine sessions including an introductory session entitled “Front-line challenges in the prevention, control, and modelling of emerging infectious diseases and contamination” (Session 1), a session devoted to “Interfacial flows in contamination/decontamination: Surface-fluid interaction, fragmentation, droplets, and their phase change” (Session 7), and a session devoted to “Spillovers, transmission ecology and animal models, viral and bacterial diseases” (Session 8).\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": "10026", "attributes": { "award_id": "2222716", "title": "FW-HTF-P: Safeguarding the Health of Healthcare Workers During Future Pandemics, Using Robotics and Automation", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "FW-HTF Futr Wrk Hum-Tech Frntr" ], "program_reference_codes": [], "program_officials": [ { "id": 4888, "first_name": "Betty", "last_name": "Tuller", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-11-01", "end_date": "2023-10-31", "award_amount": 150000, "principal_investigator": { "id": 25762, "first_name": "Axel", "last_name": "Krieger", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 25857, "first_name": "Hao", "last_name": "Su", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 344, "ror": "https://ror.org/00za53h95", "name": "Johns Hopkins University", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "The COVID-19 pandemic has stressed the healthcare system to the breaking point and has transformed healthcare delivery, forcing a strong shift to telemedicine. This reduction in-person healthcare visits is a key strategy for healthcare surge control now and in the future. However, current tele-systems provide mostly communication support, while the physical interactions required for diagnostic procedures, interventional procedures, and bedside care still largely rely on in-person care. Innovative approaches in automation and robotics have the potential to assist and protect healthcare workers in many of these areas of patient care. The current work develops novel compliant actuators to enable safe physical interactions with patients, thus minimizing the need for physical contact with healthcare providers. The investigators will design robotic systems with varying degrees of autonomy, using a vascular access delivery system as a testbed. The technology developed in this project can be used to mitigate the impact of the next pandemic and spearhead change in healthcare for the future. \n\nThis project serves healthcare workers in clinical settings who care for patients with infectious and other diseases by investigating robotics, autonomous systems, trust of physical human-robot interaction and the impacts on safety, productivity, and economics. The proposed research and experiments on compliant robotics should yield new techniques for medical robots that are safe for physical interaction with humans, while maintaining low cost for mass production. The proposed control-design activities address shortfalls in current autonomous robot controllers by providing new strategies to maximize safety, trust, and performance. Finally, this work brings stakeholders from nursing, medicine, economics, and psychology together with experts in medical robotics, artificial intelligence, autonomy, and disease transmission to provide a roadmap for a sustainable future of healthcare in which increased use of robots and autonomous systems is part of the solution.\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": "10027", "attributes": { "award_id": "2233329", "title": "NSBP 2022-2023 Annual Conferences", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "XC-Crosscutting Activities Pro" ], "program_reference_codes": [], "program_officials": [ { "id": 5173, "first_name": "Guebre", "last_name": "Tessema", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-01", "end_date": "2024-08-31", "award_amount": 601056, "principal_investigator": { "id": 7480, "first_name": "Willie", "last_name": "Rockward", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 291, "ror": "https://ror.org/017d8gk22", "name": "Morgan State University", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "This award from the National Science Foundation (NSF) supports the 350 students/year to attend the next two (2) Annual Conferences of the National Society of Black Physicists (NSBP) themed “Grand Unification II – Emerging from the Event Horizon and Beaming to the Future.” The primary goal of the NSBP is to address the perennial problem of lack of diversity in physics, astronomy, condensed matter and materials research, and related fields such as geophysics. The NSBP Conference aims to provide mentorship opportunities, increase participant access to recruiters, offer networking opportunities and inform the broader physics community on best practices. Also, the NSBP Conferences directly address (1) the NSF’s 10 Big Ideas, including Future of Work at the Human-Technology Frontier, Windows on the Universe, and the objectives of NSF INCLUDES and (2) the AIP TEAM-UP report recommendation that professional societies work with funding agencies like NSF to commit to achieving the goal of doubling the number of bachelor’s degrees in physics and astronomy awarded to African Americans by 2030. The award is enabled by cross-directorate funds from the Directorate for the Mathematical Sciences, the Directorate for Geosciences, and the Directorate Human Resource Development (HBCU-up program). \n\nThe mission of the NSBP is to promote the professional well-being of African American physicists and physics students within society at large. The NSBP will build on the experience of the 2020 and 2021 conferences which, due to the COVID-19 pandemic, had to be completely virtual meetings. The opportunity to make comparisons between face-to-face (2018-2019), online (2020-2021), and hybrid (2022-2023) NSBP conferences will be serendipitous, the silver lining to the onset of a global pandemic. The Conference allows students to have close interactions with professional physicists and gain exposure to high-quality scientific researchers and presentations. NSBP 2022 and 2023 conferences will include a “Big Science Hour” emphasis on the science and technology of Quantum Information Systems (QIS). In addition to being a meeting that promotes the persistence of underrepresented physics students in the academic-workforce pipeline, the NSBP Conferences will inspire the next generation of physics professionals through near-peer role modeling by supporting the virtual attendance of high school students and their teachers. These activities, including year-round mentoring programs, will provide an opportunity for undergraduate and graduate students to experience being a near-peer mentor and will allow the high school students to interact with someone they can aspire to become. Thus, the NSBP annual scientific conferences are part of its plan to increase the pool of African American physicists available in the academic pipeline and STEM workforce. NSBP will hold its 2022 (November 6-9) and 2023 conferences in hybrid format (primarily in-person with a virtual component). The award also supports conference evaluation and the impact of the new and expanding virtual format of conferences on increasing participation.\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": "10028", "attributes": { "award_id": "2142587", "title": "Teaching and Learning in Online Laboratories in Physics", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Education and Human Resources (EHR)", "IUSE" ], "program_reference_codes": [], "program_officials": [ { "id": 3736, "first_name": "R. Corby", "last_name": "Hovis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-01-01", "end_date": "2025-12-31", "award_amount": 299949, "principal_investigator": { "id": 25859, "first_name": "Angela", "last_name": "Kelly", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 25858, "first_name": "Keith", "last_name": "Sheppard", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 578, "ror": "", "name": "SUNY at Stony Brook", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "This project aims to serve the national interest by improving teaching and learning in online laboratory environments in college physics courses. During the COVID-19 pandemic, many colleges and universities were forced to move traditionally face-to-face classes and labs to online formats. Because many typical lab experiences involve hands-on interaction with equipment, as well as demonstrations and close supervision by instructors, it is challenging to create online variations that teach the same concepts and skills and that meet individual students' needs. It is important for educators to understand whether remote lab experiences, which proliferated during the pandemic, are equitable, rigorous, comprehensive, and responsive to students' individual learning and social needs. This research will study those issues.\n\nThis project will investigate how undergraduate physics instructors and students engage and perform in online laboratories. It will focus on the decision-making processes and implementation of teaching in an online learning environment from the perspective of instructors (faculty and graduate students), with a particular emphasis on laboratory instruction. The research will also explore the attitudes and academic performance of undergraduate physics students with regard to their lab experiences, including whether the students have differentiated experiences with respect to gender, ethnicity, or social class. The research will identify ways in which pedagogy in undergraduate science, students' performance in physics, and students' attitudes toward physics and online learning may be improved, particularly for students from groups that are underrepresented in STEM. Research questions will include the following:\n(1) How have physics faculty and graduate teaching assistants adapted laboratory course materials to transition to remote learning, and how are their pedagogical practices characterized in the online medium?\n(2) What factors influence their online teaching in terms of prior knowledge and training, peer collaboration, and external directives?\n(3) To what extent is online lab instruction characterized by technical, logistical, and pedagogical tensions, and how are these challenges formatively mitigated throughout the semester?\n(4) How are students' sociocognitive views of physics self-efficacy, self-concept, identity, epistemology, motivation, and career intentions influenced by participation in online physics instruction?\n(5) How is students' acquisition of physics knowledge and skills influenced by participation in online labs?\nThe NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.\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": "10029", "attributes": { "award_id": "2150950", "title": "Master Teachers Conducting STEM Practices and Action Research", "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": 2088, "first_name": "Jennifer", "last_name": "Ellis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-01-01", "end_date": "2028-12-31", "award_amount": 1187961, "principal_investigator": { "id": 25863, "first_name": "Allyson", "last_name": "Fenwick", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 25860, "first_name": "Elizabeth A", "last_name": "Allan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25861, "first_name": "Liz", "last_name": "Lane-Harvard", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25862, "first_name": "Mike", "last_name": "Nelson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1042, "ror": "https://ror.org/02n455404", "name": "University of Central Oklahoma", "address": "", "city": "", "state": "OK", "zip": "", "country": "United States", "approved": true }, "abstract": "This Noyce Track 3 project, Master Teachers Conducting STEM Practices and Action Research, at the University of Central Oklahoma aims to serve the national need of 1) retaining science, technology, engineering, and mathematics (STEM) educators and 2) developing leaders who can support others who have nontraditional certifications. This project includes partnerships with Oklahoma City Public Schools and the Central Oklahoma STEM Alliance. Project goals include training 14 high school biology and mathematics teachers, Master Teacher Fellows, in Central Oklahoma, over six years. The goal of the Masters’ level training is to solidify teachers’ understanding of STEM practices by engaging them in authentic research, including bringing research into practice in their educational settings (educational action research). Central to this project is engaging teachers in leadership training while exploring a problem of practice related to equity and achievement gaps exacerbated by the COVID-19 pandemic. This work not only contributes to addressing the need for highly effective biology and mathematics teacher leaders in secondary education in Oklahoma, it also addresses student achievement. Results from this project are positioned to increase the available curriculum aligned with state and national standards and help quantify how retention and students’ attitudes toward science and mathematics are affected by these changes. \n\nMentored by faculty from the University of Central Oklahoma, the Master Teacher Fellows (MTFs) are expected to design a research project, collect and interpret data, and communicate their findings to their professional community. In addition, the project aims to have MTFs develop STEM curricular projects aligned to state and national standards utilizing a three-dimensional learning approach: scientific practices, crosscutting concepts, and disciplinary core ideas. Implementing the curricular projects in classrooms, evaluating the effect of using the three-dimensional curricula on student attitudes towards science and mathematics, and retention of content are major objectives of this project. Leadership training, hosted by the Central Oklahoma STEM Alliance, connects these practicing teachers to industry mentors. This training provides a framework to generate solutions to inequities in STEM learning experienced by students in schools with varying resources. Training during the M.S. degree program and ongoing professional development prepares these teachers to effectively support and mentor other teachers, especially those with emergency and alternative certification. The project plans to foster increased fluency in curriculum-based leadership, which can translate into courage in adapting curricula to a variety of modalities. This Track 3: Master Teaching Fellowships project is supported through the Robert Noyce Teacher Scholarship Program (Noyce). The Track 3 Noyce program supports exemplary K-12 teachers to become STEM master 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": "10030", "attributes": { "award_id": "2136460", "title": "STTR Phase I: A pediatric care platform to enable personalized and coordinated developmental and behavioral care for children", "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": 1782, "first_name": "Rajesh", "last_name": "Mehta", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-01", "end_date": "2023-08-31", "award_amount": 256000, "principal_investigator": { "id": 25864, "first_name": "Brandon", "last_name": "Aylward", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1876, "ror": "", "name": "BLOOMALO LLC", "address": "", "city": "", "state": "GA", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project targets the critical need and gap in developmental and behavioral care for children and families. Up to 1 in 5 children have some type of behavioral and/or developmental problem that requires diagnosis. Of these, 80% are likely to have insufficient behavioral or developmental care. There continues to be an overall shortage of qualified developmental and behavioral health clinicians, and specialists struggle to meet the current service demands which have increased dramatically during the current COVID-19 pandemic. The American Academy of Pediatrics recently declared a state of emergency in child and adolescent mental health. The proposed platform seeks to enable increased access to effective behavioral care and to allow families to get personalized information and support to address concerns in a timely fashion. The data-driven intelligence may allow for an approach that is scalable and that will serve as a gateway for comprehensive developmental and behavioral health care for children and families.\n \nThis Small Business Innovation Research (SBIR) Phase I project applies research in machine intelligence to the personalized developmental and behavioral care support for children and families and helps to address the critical need and current gaps in children’s behavioral health. The proposed research and development bring together a suite of capabilities to allow children and caregivers to get the support and access to care that they need in a timely fashion. The data collected will enable the expansion of the artificial intelligence-driven support. At its foundation, the platform seeks to provide evidence-based content, personalized data-driven behavioral assessments, and facilitated care navigation for families. The platform can use technology to increase the dissemination of behavioral health care information, to provide increased access and real-time support that is tailored to the families’ needs, and to establish a personal and long-lasting relationship with families as their children age and progress through various developmental stages.\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": "10031", "attributes": { "award_id": "2200683", "title": "Excellence in Research’: Mechanistic Modelling and Validation Approaches to Decontaminate (+) ssRNA Viruses using Ultra-Violet Technologies", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "EnvE-Environmental Engineering" ], "program_reference_codes": [], "program_officials": [ { "id": 1123, "first_name": "Mamadou", "last_name": "Diallo", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-01", "end_date": "2025-08-31", "award_amount": 453358, "principal_investigator": { "id": 25869, "first_name": "Ankit", "last_name": "Patras", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 25865, "first_name": "Swastik", "last_name": "Brahma", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25866, "first_name": "Bharat", "last_name": "Pokharel", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25867, "first_name": "Chandravanu", "last_name": "Dash", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25868, "first_name": "Doris H", "last_name": "D'Souza", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 376, "ror": "https://ror.org/01fpczx89", "name": "Tennessee State University", "address": "", "city": "", "state": "TN", "zip": "", "country": "United States", "approved": true }, "abstract": "The ongoing COVID-19 pandemic has highlighted the need for efficient and cost effective technologies and solutions to mitigate and prevent the spread and transmission of pathogens with pandemic potential in the built environment including residential buildings, schools, and healthcare facilities. Many positive strand RNA (+ssRNA) viruses, which include coronaviruses and noroviruses, are pathogenic to humans and animals. These viruses can survive in air, aqueous dispersions, and on surfaces. Ultraviolet germicidal systems emitting UV-C radiation (200-280 nm in wavelength) have been proven effective at inactivating viral pathogens attached to various media and substrates including respiratory aerosols, aqueous dispersions, and non-porous surfaces. However, a fundamental understanding of the UV-C sensitivity of ssRNA viruses and their extents, rates, and mechanisms of inactivation by germicidal UV-C radiation has remained elusive. The overarching goal of this project is to develop and validate a genomic-based model that could be used to 1) estimate the UV-C sensitivity of pathogenic ssRNA viruses and 2) predict the UV-C doses and exposure times required to inactivate such viruses in aqueous dispersions and surfaces. The successful completion of this project will benefit society through the generation of fundamental knowledge and validated modeling tools to guide the design of more efficient UV-C disinfection systems and protocols to mitigate and prevent the spread and transmission of pathogenic ssRNA viruses in the built environment and in communities during future disease outbreaks and epidemics. Additional benefits to society will be achieved through outreach and educational activities including the mentoring of a post-doctoral research associate, two graduate students, and four undergraduate students at Tennessee State University and one graduate student at the University of Tennessee, Knoxville.\n\nThe effectiveness of UV-C irradiation at inactivating viral pathogens in a given medium depends on several factors including viral concentration, radiation dose and exposure time, and the virus UV-C susceptibility (D90) defined as the required radiation dose (Joule/m2) to inactivate 90% of the viral pathogens. However, measured UV-C susceptibility data for many positive strand RNA (+ssRNA) viruses that are pathogenic to humans and animals are not available due to the unique challenges associated with the collection of experimental data on viral pathogens including the need for biosafety level-3 (BSL-3) facilities and a specialized and highly trained workforce. The goal of this project is to develop and validate a mathematical model (based on viral genomic parameters such as genome size and pyrimidine dinucleotide frequency) that could be used to predict the UV-C susceptibility of pathogenic +ssRNA viruses in air, aqueous dispersions, and onto surfaces at standard ambient conditions. The specific objectives of the research include: 1) Collection and/or generation of UV-C susceptibility data for a set of model ssRNA viruses for model calibration and validation; 2) Development and validation of quantitative structure activity relationships (QSARs) to predict wavelength specific UV-C susceptibility of +ssRNA viruses by analyzing the correlations between genome parameters (genome size, sequence-based pyrimidine dinucleotide frequency value, Trp and Tyr content) and the UV-C susceptibility data that were collected in Objective 1 ; and 3) Development and implementation of a Java computer interface that utilizes the QSARs developed in Objective 2 to estimate the UV-C radiation dose and exposure time required to inactive +ssRNA viruses in air, aqueous dispersions, and onto surfaces. The successful completion of this project has the potential for transformative impact through the generation of fundamental knowledge, data and modeling tools to guide the design of more efficient, and cost-effective UV-C viral inactivation and disinfection systems and protocols. To implement the education and outreach activities of the project, the Principal Investigators (PIs) plan to integrate the findings from this research into existing undergraduate and graduate courses at Tennessee State University, the University of Tennessee, Knoxville, and Meharry Medical College to provide students with new learning modules with a focus on technologies, solutions, and modeling tools that could guide the mitigation and prevention of the spread and transmission of viral pathogens in the built environment and the food industry.\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": "10032", "attributes": { "award_id": "2146312", "title": "D-ISN/Collaborative Research: An Interdisciplinary Approach to the Discovery, Analysis, and Disruption of Wildlife Trafficking Networks", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "D-ISN-Illicit Supply Networks" ], "program_reference_codes": [], "program_officials": [ { "id": 2155, "first_name": "Georgia-Ann", "last_name": "Klutke", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-01", "end_date": "2025-07-31", "award_amount": 122327, "principal_investigator": { "id": 25870, "first_name": "Gohar", "last_name": "Petrossian", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 516, "ror": "", "name": "CUNY John Jay College of Criminal Justice", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "This Disrupting Operations of Illicit Supply Networks (D-ISN) project aims to address the illegal trade in wild animals. Wildlife trafficking is one of the most common illicit activities globally and poses a substantial human cost along with detrimental social and economic impacts, including increased crime, violence, and environmental destruction. The COVID-19 pandemic, likely the result of a virus that spread to humans from a wildlife market, demonstrates that wildlife trafficking can have serious public health and biosafety implications. This project seeks to catalyze technological innovations by creating tools that empower domain experts to continuously discover and obtain actionable insights by exploring the wealth of data related to illicit networks that spread over multiple sources. The project will advance our Nation's ability to counter wildlife trafficking activities through novel approaches for data discovery, analytics, and modeling. The project will also promote the progress of research in criminal activities that have an online footprint. Data collected in the course of the project will be made publicly available through a dataset search engine, making it possible for researchers to enrich data-driven analyses through the dynamic discovery and linkage of previously unknown data, and allowing them to answer important questions. The project team's collaboration with non-governmental organizations and discussions with law enforcement agencies will facilitate an interactive process that can fine-tune disruption techniques and suggest pragmatic real-world implementation strategies and policy recommendations.\n\nThe project uses an interdisciplinary approach – combining methods and tools from computer science and engineering as well as wildlife criminology to advance the state of the art and build fundamental knowledge in methods for the discovery and exploration of data related to illicit activities with an online footprint, as well as enhance wildlife trafficking research. Specifically, this project contributes new algorithms that provide capabilities to: 1) discover and automatically collect data related to wildlife trafficking from multiple platforms at an unprecedented scale; and 2) use these data to build computational models and study wildlife trafficking patterns and networks at the global level. Through the use of analytical techniques such as crime mapping, quantitative data analysis, and social network analysis, this project will address research questions related to the scale and the nature of illicit wildlife trade, network structures of online wildlife trafficking, and empirically-driven disruption models that can be used to best tackle them. The algorithms are adaptable to different domains and data, support the discovery of both unstructured data and structured datasets, and will serve as the basis for usable tools that empower domain experts to continuously discover and monitor relevant data.\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": "10033", "attributes": { "award_id": "2234941", "title": "Eleventh African Materials Research Society (A-MRS) Conference", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "XC-Crosscutting Activities Pro" ], "program_reference_codes": [], "program_officials": [ { "id": 5173, "first_name": "Guebre", "last_name": "Tessema", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-01", "end_date": "2023-08-31", "award_amount": 49000, "principal_investigator": { "id": 25872, "first_name": "Eric", "last_name": "Garfunkel", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 25871, "first_name": "J. Ardie Butch", "last_name": "Dillen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 792, "ror": "https://ror.org/04jg8an89", "name": "Materials Research Society", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true }, "abstract": "This award to the Materials Research Society (MRS) will be predominantly used to support travel and participating costs of students and young scientists currently working in American universities to attend the Eleventh African Materials Research Society (A-MRS) Conference. The Conference will be held at the King Fahd Palace Hotel and Conference Center in Dakar, Senegal, in December 2022. Organized by the African-MRS with strong support of the MRS, the heart of the Conference is to build knowledge, foster relationships and promote action to further the understanding in the broad fields associated with materials science and technology. The African-MRS Conferences plays a vital role to unify the rapidly growing materials research community in Africa and helping couple it to the broader materials research world outside of Africa, and to the US, in particular. With an eye toward increasing understanding and awareness of how materials impact development, a key goal of the Conference is to bring together leading scientists from around the world to interact with leading African researchers. The conference also informs non-African participants about the current state of materials science and education in Africa, including research needs and opportunities for development and collaboration. This year’s conference will also include sessions on value chain and entrepreneurship in materials science.\n\nThis conference, organized by the African MRS and a local team at the Universite Cheikh Anta Diop (UCAD) with support of the (US-based) Materials Research Society (MRS), serves as a central hub for the materials science and engineering communities across Africa. The conference allows the basic and applied research communities to build knowledge, grow relationships, and promote activities and exchanges for further understanding and collaborations in the multidisciplinary fields associated with materials science and technology. Participants will come from across Africa and around the world, and meet in-person for the first time since the COVID 19 pandemic, with an anticipated attendance of 500. Themes of the conference reflect both the needs of the global research community such as energy and health, as well as needs specific to Africa such as appropriate construction materials and sustainable biomaterials. The conference adds unique value by bringing together leading international scientists and engineers to present and discuss recent advances in several broad areas of materials research and define future research priorities. This conference also provides a unique platform for US and African students to interact directly with each other as well as with national and international leaders, which is evidence of the African-MRS’s deep commitment to education and capacity building. The themes of the conference for this year are: Energy materials – photovoltaics, batteries, fuel cells, catalysis, CO2 abatement Biomaterials and Health – polymers, nanomedicine, imaging, sensors Agriculture– soil chemistry, food science, materials processing Nano, Quantum, and Photonic Materials, and Nanotechnologies – nanoparticles, graphene, nanotubes, optics, materials physics, quantum behavior Computational Materials Science – ab initio, molecular dynamics, finite element, statistical mechanics, multiscale modelling Materials for Mining and Manufacturing – extraction, foundry, metallurgy Water & Environmental Monitoring – filters, waste-water treatment, desalination, sensors Education and Networking in Materials Science and Engineering – curriculum development, online education, academic and research exchanges, summer schools In addition to these themes, a series of pre-conference workshops and special sessions are planned that will include women and girls in science, and entrepreneurship.\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": 1424, "count": 14236 } } }