Represents Grant table in the DB

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        {
            "type": "Grant",
            "id": "14621",
            "attributes": {
                "award_id": "2347150",
                "title": "ERI: Realistic Drone Integration in Rural Healthcare Supply Chains",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Engineering (ENG)",
                    "OE Operations Engineering"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 31308,
                        "first_name": "Reha",
                        "last_name": "Uzsoy",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
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                ],
                "start_date": "2024-05-01",
                "end_date": null,
                "award_amount": 199977,
                "principal_investigator": {
                    "id": 31309,
                    "first_name": "Shakiba",
                    "last_name": "Enayati",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
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                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 374,
                    "ror": "",
                    "name": "University of Missouri-Saint Louis",
                    "address": "",
                    "city": "",
                    "state": "MO",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This Engineering Research Initiation (ERI) award supports research enabling the integration of drone technology into healthcare logistics to address the challenges of access to medical supplies in rural areas. Rural communities are hindered by limited infrastructure, vast distances, rugged terrain and severe weather conditions, which significantly impact the timely and efficient delivery of essential healthcare supplies. Despite the recognized potential of drones to enhance healthcare delivery in such settings, optimizing drone operations considering practical constraints such as environmental factors (e.g., weather and wind conditions) and their impact on operational performance (e.g., range and payload) has proven challenging. This award addresses this need by developing and analyzing mathematical models to support drone integration into multi-modal transportation networks, considering the uncertainties of weather conditions and the specific needs of each delivery. This initiative aims not only to enhance healthcare access in rural areas but also to advance the state of the art in healthcare logistics, contribute to educational and diversity efforts in STEM, and ultimately support the national health and prosperity by ensuring efficient and equitable healthcare access across all communities.<br/><br/>This research will develop a decision-support tool for improving rural healthcare logistics through strategic drone use given variable weather and operational conditions. Probabilistic energy consumption modeling will allow the incorporation of uncertainties in drone performance into a robust optimization model that designs the logistic network under worst-case scenarios while also optimizing reliable operations to facilitate collaboration among multiple transportation modes, including drones. Innovative solution algorithms will be developed to handle complexities due to time-sensitive demand, and simulation experiments will be conducted to verify and validate the effectiveness of the drone-based delivery system. The simulation will be designed using both synthetic data that mimics rural landscapes and real-world data related to pandemic supply chains. Numerical experiments will evaluate the system's overall effectiveness by comparing scenarios with and without drone use, examining the trade-offs between operational efficiency and equitable distribution of medical supplies.<br/><br/>This 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": "14623",
            "attributes": {
                "award_id": "2421053",
                "title": "Conference: 2024 Bioanalytical Sensors Gordon Research Conference and Seminar",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Engineering (ENG)",
                    "BioP-Biophotonics"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 961,
                        "first_name": "Aleksandr",
                        "last_name": "Simonian",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
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                    }
                ],
                "start_date": "2024-05-01",
                "end_date": null,
                "award_amount": 24999,
                "principal_investigator": {
                    "id": 31310,
                    "first_name": "Charles",
                    "last_name": "Mace",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
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                },
                "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": "Sensors play many roles in our lives from including in diagnostics for diseases and providing real-time information on our health status through smart watches. The 2024 Bioanalytical Sensors Gordon Research Conference and Gordon Research Seminar will bring together the world’s experts and early career researchers in sensors with a focus on addressing grand challenges in health monitoring and diagnostics. This conference will create an environment that promotes interactions between and learning across a diverse and global group of scientists, students, and practitioners at various stages in their careers, and lay the groundwork for advances that can impact public health on a global scale.<br/><br/><br/>Sensors designed for analytical performance and usability can turn the tide of pandemics, bridge gaps in healthcare disparities, and provide insight into key biological processes. Because of the prominent roles sensors play in our lives and their potential for even further integration and future growth led by emerging applications, establishing a diverse and global community of experts to discuss outstanding challenges and the possible approaches for solving them is a key need with relevance to biomedical research, health, food security, forensics, and other disciplines with public benefit. The 2024 Bioanalytical Sensors Gordon Research Conference and Research Seminar seeks to fulfill this need in an intimate, inclusive, and scholarly setting. The audience for this conference is interdisciplinary, as solutions that ultimately impact the general public require collaboration across basic and applied sciences. Research inclusive of chemistry and physics, microbiology and immunology, biomedical and electrical engineering, human factors research, and global health will be represented at the 2024 Bioanalytical Sensors conference. Participants from industry, entrepreneurs, clinicians, and professional practitioners are integral parts of efforts to innovate and translate sensing and diagnostic technologies. The conference will highlight cutting edge topics that include point-of-care diagnostics, wearable sensors, advances in microfluidics, and remote sensing. The overall program is additionally diverse with respect to career stage, gender, ethnicity, and country of origin. Invited participants (speakers, discussion leaders, Power Hour leaders, Chairs, and Vice-Chairs) include late, mid, and early-career investigators who will all share a forum to discuss challenges, opportunities, and future applications of sensing on health and our understanding of the natural world.  The conference will foster a stimulating atmosphere for objective and detailed critiques of unpublished results describing cutting edge biosensing technologies. Interactions between attendees will catalyze collaborations leading to future advances in sensing that will be disseminated broadly in the literature and also tangible, real-world solutions.<br/><br/>This 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": "14624",
            "attributes": {
                "award_id": "2421459",
                "title": "Support for Early Career Professionals to Broaden Participation at 2024 American Society of Biomechanics Annual Meeting; Madison, Wisconsin; 5-8 August 2024",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Engineering (ENG)",
                    "M3X - Mind, Machine, and Motor"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 31311,
                        "first_name": "Shivani",
                        "last_name": "Sharma",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2024-05-01",
                "end_date": null,
                "award_amount": 15000,
                "principal_investigator": {
                    "id": 31312,
                    "first_name": "Kurt",
                    "last_name": "Beschorner",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 272,
                    "ror": "https://ror.org/01an3r305",
                    "name": "University of Pittsburgh",
                    "address": "",
                    "city": "",
                    "state": "PA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This grant provides funding Support for Early Career Professionals to Broaden Participation at 2024 American Society of Biomechanics Annual Meeting; Madison, Wisconsin; 5-8 August 2024. The new activities at the 2024 American Society of Biomechanics (ASB) Annual Meeting include: 1) Broadening Participation in Biomechanics Award among early-career professionals in priority groups (underrepresented minority groups, underrepresented geographical regions, undergraduate students, first-time ASB participants, non-research and emerging research institutions); 2) Supplement existing Diversity Travel Award to offset costs and enable early travel to participate in the pre-conference activities; and 3) Pre-conference webinars and workshops to enhance the value of the meeting to all meeting participants at no cost. Activities 2 and 3 above, specifically address pandemic-related deficits in developing conference skills among early-career professionals. The programs will be evaluated to assess their impact and inform future efforts to expand access and broaden the impact at this meeting. <br/><br/>Ten new “Broadening Participation in Biomechanics” activities created for the 2024 ASB Annual Meeting target priority groups that are currently underrepresented at the meeting. Nineteen supplemental awards provided to existing recipients of a diversity award would enable these attendees to participate in pre-conference workshops. Additionally, the planned webinars and workshops focus on presentation skills, designing a plan for meeting activities, and to enhance networking skills for award recipients and other attendees. Evaluations will be devised to target the impact of the awards at addressing barriers to attendance. The webinars and workshop will be evaluated to assess learning and impact. Feedback from these evaluations will be used to develop future awards and programming for the conference. Dissemination plans include an article in the ASB newsletter and a scientific abstract in the 2025 Annual ASB Meeting.<br/><br/>This 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": "14626",
            "attributes": {
                "award_id": "2332375",
                "title": "BRC-BIO: Amino acid taste coding mechanisms and modulation in D. melanogaster",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Biological Sciences (BIO)",
                    "NFE-New Faculty Enhancement"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 4455,
                        "first_name": "Colette St.",
                        "last_name": "Mary",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
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                    }
                ],
                "start_date": "2024-05-01",
                "end_date": null,
                "award_amount": 444362,
                "principal_investigator": {
                    "id": 31315,
                    "first_name": "Molly",
                    "last_name": "Stanley",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
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                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 433,
                    "ror": "",
                    "name": "University of Vermont & State Agricultural College",
                    "address": "",
                    "city": "",
                    "state": "VT",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "All animals must continually make important dietary choices that impact health, reproduction, and survival. The nervous system plays a key role in directing feeding behavior through the sense of taste, where specialized sensory cells detect chemicals in food and activate neural circuits that encourage animals to avoid potential toxins and consume beneficial nutrients. Taste loss is a common symptom of COVID-19 infection, and the recent pandemic highlighted the negative consequences of losing this chemical sense. However, many questions remain about how information about taste is encoded in the nervous system, even in normal conditions. Protein intake is essential in many animals, from humans to fruit flies, but protein needs change in response to internal factors such as diet and reproduction. Amino acids, the building blocks of protein, are detected by taste cells, but it is unclear whether sensitivity to amino acid taste changes based on an animal’s internal physiology. The research in this proposal will utilize the fruit fly, Drosophila melanogaster, to describe the genes, cells, and neural circuits responsible for amino acid taste, and determine if amino acid taste sensitivity is influenced by factors such as hunger and diet. By combining powerful genetic tools with simple behavioral assays, a diverse group of undergraduate students will contribute to this research through two courses and paid summer research experiences. Additional students will share scientific results and student narratives through Science Communication Internships. Overall, this project will help broaden the STEM workforce by providing accessible educational opportunities that build practical skills. <br/><br/>The sense of taste is often depicted as one cell type tuned precisely to one class of chemicals with one receptor. However, it is becoming clear from research in both Drosophila and mammals that gustation is not that simple: one tastant may activate multiple cell types or a single cell may express multiple receptors and detect many chemicals. Previously, the PI and others completed a detailed map of every taste cell across the Drosophila labellum (‘tongue’), and preliminary data using in vivo calcium imaging to quantify taste cell activation revealed that at least one cell type is strongly activated by amino acids. In addition, stimulating the labellum with an amino acid mix led to a consistent proboscis extension response (PER), a simple feeding behavior that quantifies taste sensitivity. The overall hypothesis of this proposal is that amino acids activate at least two classes of taste cells to drive flexible, taste-induced feeding behaviors that can change based on internal needs. The first aim will identify physiological factors that modulate the amino acid PER, while the second aim will uncover the full repertoire of cells and receptors necessary for amino acid detection combining calcium imaging and PER. The third aim will use connectomics to identify neural circuits of amino acid taste and determine if taste cell activation is modulated in response to protein needs. This research combines cutting-edge neurobiology tools with behavioral assays to ultimately uncover how taste circuits are modified at a cellular level to lead to flexible dietary choices.<br/><br/>This 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": "14628",
            "attributes": {
                "award_id": "2419903",
                "title": "I-Corps: Translation Potential of a Point-of-care System for Fast Multiplexed Detection of Pathogens",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Technology, Innovation and Partnerships (TIP)",
                    "I-Corps"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 31316,
                        "first_name": "Jaime A.",
                        "last_name": "Camelio",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2024-05-01",
                "end_date": null,
                "award_amount": 50000,
                "principal_investigator": {
                    "id": 31317,
                    "first_name": "Jian-Ping",
                    "last_name": "Wang",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
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                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 227,
                    "ror": "",
                    "name": "University of Minnesota-Twin Cities",
                    "address": "",
                    "city": "",
                    "state": "MN",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The broader impact of this I-Corps project is the development of portable, cost-effective, and rapid point of care tests for infectious diseases in animals. Currently the food animal market relies mostly on central laboratories for their diagnostic needs. The most common concerns faced by the stakeholders in the food animal market are diagnostic time and the cost of the tests, limiting the number and the frequency of tests that could be performed for regulation of animal health. A magnetic particle spectroscopy-based diagnostic platform can enable rapid detection of pathogen(s) at the farm.  Such pathogen detection is essential for the efficient implementation of control strategies that curtail disease outbreaks in animal production systems. In addition, the simultaneous detection of multiple pathogens in a single test, enabled by the new detection capabilities would further aid in reducing the time of intervention, effort, and cost of production for farmers dealing with these diseases. This assay can be readily modified for the detection of different diseases, enabling the platform to be utilized for the diagnosis of both human as well as animal diseases. <br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. This solution is based on the development of rapid diagnostic tests built upon magnetic particle spectroscopy. the magnetic particle spectroscopic assay utilizes antibody- or ligand-conjugated magnetic nanoparticles for the detection of biomarkers of interest. As the biological matrices are non-magnetic / weakly diamagnetic, magnetic particle spectroscopy has an advantage over other commonly used optical or fluorescence-based detection methods in reducing the signal to noise ratio. Thus, the magnetic particle spectroscopy-based assay is highly accurate, and capable of delivering multiplexed test results. The diagnostic feasibility of this assay was tested using influenza A virus and severe acute respiratory syndrome corona virus-2 (SARS-CoV-2). The portability of the detection device coupled with a smartphone interface will allow testing in remote areas and under field settings, such as on a farm or in a production system. By transmitting test results collected from distant locations to centrally located data analysis units, remotely located veterinarians can receive real-time epidemiological data. This data would also significantly reduce the costs of monitoring infections at the regional level.<br/><br/>This 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": "14630",
            "attributes": {
                "award_id": "2422468",
                "title": "I-Corps: Translation Potential of Compact and Low-Energy Molecular Diagnostic Devices for the Testing for Infectious Diseases",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Technology, Innovation and Partnerships (TIP)",
                    "I-Corps"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 31316,
                        "first_name": "Jaime A.",
                        "last_name": "Camelio",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
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                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2024-05-15",
                "end_date": null,
                "award_amount": 50000,
                "principal_investigator": {
                    "id": 26817,
                    "first_name": "Aashish",
                    "last_name": "Priye",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
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                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 215,
                    "ror": "",
                    "name": "University of Cincinnati Main Campus",
                    "address": "",
                    "city": "",
                    "state": "OH",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The broader impact of this I-Corps project is the development of a simplified diagnostic platform that can significantly increase the reach of infectious disease management, particularly during pandemics. By employing passive heating and cooling to enable biochemical reactions without reliance on conventional, energy-intensive equipment, this device aims to make diagnostics accessible in resource-limited environments. The technology facilitates rapid, on-site disease detection using a smartphone, thereby bypassing the logistical challenges of centralized laboratories. The societal benefits include quicker diagnosis and intervention, which are critical in outbreak containment and management, leading to saved lives and reduced spread of diseases. Commercially, this innovation opens market opportunities within the growing field of point-of-care testing, which is projected to grow due to increasing demand for decentralized healthcare solutions.<br/><br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. This solution is based on the development of an innovative thermal cycling mechanism that facilitates rapid heating and cooling cycles crucial for the Polymerase Chain Reaction (PCR) processes. The mechanism features a spinning disc embedded with conductors located near stationary magnets. As the disc spins, the changing magnetic fields interact with the conductors to induce eddy currents, which generate Joule heating. This method allows for efficient nucleic acid amplification. By harnessing such passive energy sources, the system achieves significant reductions in complexity and operational costs. The technical merit of this approach lies in its ability to maintain precise temperature control necessary for accurate biochemical reactions, thereby enabling reliable diagnostics in a compact, portable format. This solution has the potential to simplify and expedite pathogen detection in both developed and under-resourced settings.<br/><br/>This 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": "14631",
            "attributes": {
                "award_id": "2341895",
                "title": "CAMO: Counterfeit Attestation MOdule for Electronics Supply Chain Tracking and Provenance",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Engineering (ENG)",
                    "CCSS-Comms Circuits & Sens Sys"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 28840,
                        "first_name": "Ale",
                        "last_name": "Lukaszew",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
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                        "affiliations": []
                    }
                ],
                "start_date": "2024-05-15",
                "end_date": null,
                "award_amount": 450000,
                "principal_investigator": {
                    "id": 31324,
                    "first_name": "Domenic",
                    "last_name": "Forte",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
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                },
                "other_investigators": [
                    {
                        "id": 31323,
                        "first_name": "Nima",
                        "last_name": "Maghari",
                        "orcid": null,
                        "emails": "",
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                        "keywords": null,
                        "approved": true,
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                    }
                ],
                "awardee_organization": {
                    "id": 158,
                    "ror": "https://ror.org/02y3ad647",
                    "name": "University of Florida",
                    "address": "",
                    "city": "",
                    "state": "FL",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Supply chain globalization and e-commerce have caused a substantial rise in counterfeit electronics trafficking, which was only exacerbated by the pandemic-induced microchip shortage. When high-demand electronics are not available in the marketplace, they become prime targets for counterfeiters. Aside from billions of dollars lost from intellectual property (IP) infringement, counterfeit electronics are often of substandard quality, thereby creating risks for systems and infrastructure in critical sectors such as healthcare, food and agriculture, communications, transportation, energy, manufacturing, emergency services, defense, and more. Recent legislation, such as the CHIPS Act, stresses the need for procedures to combat counterfeiting, but key stakeholders have resisted adoption of the requisite technologies for years. Counterfeit detection and avoidance can be accomplished by physical inspection, electrical tests, or design-for-anti-counterfeit (DfAC). The former two have been the mainstay, but are less reliable, more expensive, and lack automation. Although DfAC primitives can only be included in brand new electronics, they are more promising with respect to accuracy, authentication cost, and scalability. Further, centralized and decentralized ledger technologies, including blockchains, are advancing to support DfAC primitive verification and for immutable traceability and provenance of electronics. This project aims to address the major barriers for DfAC primitive integration into microchips and systems. Counterfeit attestation modules (CAMOs for short) will be developed to efficiently collect DfAC outputs from all the microchips on a printed circuit board (PCB), verify that the PCB itself has not been tampered, and protect communication of results to a digital ledger for en masse authentication. In addition, lightweight DfAC primitives that can be conveniently incorporated into common microchip modules will also be explored.  Scalable, convenient, and inexpensive detection of counterfeit electronics from this project shall result in savings for commercial and defense industries that will be passed on to consumers and taxpayers.<br/><br/>The above goals will be achieved through four tasks. First, a novel circuit called Resonant Frequency Lock-On (Res-FLO) will be explored for self-contained authentication of PCBs. Res-FLO captures unique, process variation dependent signatures from PCB power distribution networks to detect cloned and tampered PCBs. Next, to support chip authentication and provide security in CAMO communication protocols, lightweight DfAC primitives will be investigated for detecting the two most prevalent counterfeit chip types – recycled and cloned. The former will be detected by measuring degradation in analog and digital low dropout regulators (LDOs) while the latter can be achieved by adopting physical unclonable functions (PUFs). Third, inexpensive protocols that provide confidentiality and integrity for communications within the PCB and to a ledger/blockchain will be composed from elements of the first two tasks. Namely, CAMO will exploit the large input/output space, machine learning (ML) attack resistance, and multiple measurements of strong PUFs to increase the security and confidence of authentic/counterfeit classification without the need for expensive cryptographic and error correction schemes. Finally, the CAMO primitives and protocols will be taped out for proof-of-concept and to capture overheads, impacts of aging and noise, resistance to attacks, etc.<br/><br/>This 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": "14632",
            "attributes": {
                "award_id": "2344234",
                "title": "HBCU-UP RAPID: HBCU Leadership Crisis on STEM Broadening Participation and Research Capacity Building - Impact and Implications",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Directorate for STEM Education (EDU)",
                    "Hist Black Colleges and Univ"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 31325,
                        "first_name": "Joyce",
                        "last_name": "Belcher",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2024-04-01",
                "end_date": null,
                "award_amount": 199999,
                "principal_investigator": {
                    "id": 4514,
                    "first_name": "Trina",
                    "last_name": "Fletcher",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 207,
                            "ror": "https://ror.org/02gz6gg07",
                            "name": "Florida International University",
                            "address": "",
                            "city": "",
                            "state": "FL",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 207,
                    "ror": "https://ror.org/02gz6gg07",
                    "name": "Florida International University",
                    "address": "",
                    "city": "",
                    "state": "FL",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The Historically Black Colleges and Universities - Undergraduate Program (HBCU-UP) supports RAPID projects when there is an urgency concerning the availability of, or access to, data, facilities, or specialized equipment, including quick-response research on natural or anthropogenic disasters and similar unanticipated events, such as the COVID-19 pandemic. During and after the COVID-19 pandemic, several higher education institutions experienced changes in the president and chancellor positions. For Historically Black Colleges and Universities (HBCUs), in 2022 alone, there were 23 leadership changes announced, and in 2023, 41 changes were announced, almost double within one year. Essentially, one in four HBCUs experienced a resignation or termination at the highest administrative level. These leadership changes have been an added challenge to the ongoing recovery efforts of many HBCUs that were also disproportionately impacted by the global pandemic. HBCUs are critical for science, technology, engineering, and mathematics (STEM) education and workforce development and for their contributions to STEM research. HBCUs are critical players in helping the nation stay competitive globally and are a national asset, considering the large numbers of diverse students earning degrees in STEM from HBCUs. Unfortunately, excessive executive leadership turnover could negatively impact those efforts.<br/><br/>This research study will explore the institutional impact of turnover at the President/Chancellor and executive cabinet levels at HBCUs. By using pilot data collected at one of the largest annual convenings of HBCU executives related to the impact and implications of HBCU leadership turnover, our proposed convening to collect rich qualitative data, and their feedback on the pilot survey results, will dynamically and strategically gain insight on this unprecedented challenge. This project will contribute to better understanding the impacts of leadership turnover and create recommendations for best practices. Ultimately, the results from this study are intended to increase stability at HBCUs experiencing leadership transitions so HBCUs can continue to play their important role in broadening participation in STEM, undertaking important STEM research, and providing excellent STEM educational programs.<br/><br/>This 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": "14633",
            "attributes": {
                "award_id": "2419915",
                "title": "I-Corps: Translation Potential of Real-time, Ultrasensitive Electrical Transduction of Biological Binding Events for Pathogen and Disease Detection",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Technology, Innovation and Partnerships (TIP)",
                    "I-Corps"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 11678,
                        "first_name": "Molly",
                        "last_name": "Wasko",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": [
                            {
                                "id": 612,
                                "ror": "https://ror.org/008s83205",
                                "name": "University of Alabama at Birmingham",
                                "address": "",
                                "city": "",
                                "state": "AL",
                                "zip": "",
                                "country": "United States",
                                "approved": true
                            }
                        ]
                    }
                ],
                "start_date": "2024-04-01",
                "end_date": null,
                "award_amount": 50000,
                "principal_investigator": {
                    "id": 31326,
                    "first_name": "Kevin",
                    "last_name": "Daniels",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 297,
                    "ror": "https://ror.org/047s2c258",
                    "name": "University of Maryland, College Park",
                    "address": "",
                    "city": "",
                    "state": "MD",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The broader impact/commercial potential of this I-Corps project is the development of epitaxial graphene based diagnostic and screening devices to address the current lack of rapid, selective, and sensitive screening tools for pathogens, like severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), necessary to contain this and future pandemics. There is also a lack of point-of-care detection technologies that could help mitigate the spread of pathogens, ideally before a person becomes infectious. The potential advantage of our biosensor is it is reusable, with greater speed and sensitivity compared to existing commercial products and also technology found in recent literature. It can also detect pathogens in human breath, enabling rapid, non-invasive screening not possible by conventional technology. Applying this technology to pathogen detection, where rapid deployment and immediate results are critical to pandemic mitigation, endemic pathogens, where outbreaks can threaten vulnerable members of the population, and pathogens and ailments where detection is difficult due to few circulating biomarkers such as cancer and bacteria. Overall, the broad applicability of these biosensors in non-invasive medical screening has the potential to significantly impact human health and public safety.<br/><br/>This I-Corps project utilizes experiential learning coupled with first-hand investigation of the industry ecosystem to assess the translation potential of the proposed technology. It is based on the prior development of rapid, selective, and ultrasensitive electrical-based screening and diagnostic tools for detecting viruses and bacteria without the need for sample preparation, expensive laboratory equipment, or specialized personnel. This innovative approach focuses on harnessing the properties of quasi-freestanding epitaxial graphene (QEG) on silicon carbide (SiC) in conjunction with immobilized biomarkers, enabling pathogen detection. This device aims to overcome the limitations of current diagnostic technologies, particularly in terms of speed, selectivity, sensitivity, and cost-effectiveness, through a novel polarization-induced strain mechanism unique to QEG. This platform enables the transduction of antibody/antigen systems and protease/peptide, enabling ultrasensitive and rapid screening of pathogens and diseases.<br/><br/>This 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": "14634",
            "attributes": {
                "award_id": "2341512",
                "title": "Collaborative Research: Behavioral Science and the Making of the Right-Reasoning Public Health Citizenry",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Social, Behavioral, and Economic Sciences (SBE)",
                    "Science & Technology Studies"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 5098,
                        "first_name": "Frederick",
                        "last_name": "Kronz",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2024-04-01",
                "end_date": null,
                "award_amount": 121741,
                "principal_investigator": {
                    "id": 31327,
                    "first_name": "Karen",
                    "last_name": "Huang",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 181,
                    "ror": "https://ror.org/05vzafd60",
                    "name": "Georgetown University",
                    "address": "",
                    "city": "",
                    "state": "DC",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This award supports a collaborative research project that investigates how behavioral models in public health produce normative ideas about what it means to be a reasonable public health citizen. Behavioral science plays a pivotal, but understudied, role in shaping public health and policy responses to global health issues. At this critical juncture for both public policy and public health in the wake of the COVID-19 pandemic, the team will investigate the models of moral reasoning and citizenship embedded in public health behavioral science in the U.S. More generally, this research investigates how predictive and explanatory models for public health behavior also create normative models for moral reasoning and public health citizenship. Research findings will be shared in two Science and Technology Studies articles, an article for health policymakers and practitioners, and a commentary written for a public audience. The team will offer substantial training and mentorship to graduate research assistants; convene a practice-based workshop with Master of Public Health students and Master of Public Policy students; and write a pedagogical article about the workshop. <br/><br/>This is a project that studies the historical precedents and contemporary practices of behavioral science in public health. The team of researchers on the project will investigate the following research questions: How are normative images of the right-reasoning public health citizenry produced through public health behavioral science? How have these normative images acquired authority in the governance of health? How have these normative images been maintained in the face of resistance to expert authority? The team will employ methods of archival research and document analysis to develop a comparative analysis of principal behavioral models. By developing a theoretical conceptualization of the right-reasoning public health citizenry, the results of this project will serve to reconfigure public health sovereignty and citizenship, and open space for reflection and critical examination of behavioral science expertise in public policy.<br/><br/>This 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
            }
        }
    ],
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        "pagination": {
            "page": 1405,
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