Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1392&sort=-awardee_organization
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In the post-COVID era, it is imperative to develop online education platforms for remote training of both students and the workforce in the field of Hardware Security. Recent advances in this field and FPGA-based cloud servers have enabled an opportunity to move related experiments to an online format that only requires a standard computer and internet connection by the students. Teaching “hardware” security in a socially distanced format poses significant challenges. Essential experiments for teaching key concepts in hardware security necessitate multiple evaluation boards and physical equipment such as voltage supplies, oscilloscopes, multimeters, and function generators. To adapt these experiments for an online platform, the project will explore innovative methods to execute or emulate them using the cloud ecosystem. This project addresses a critical gap by developing a fully online hardware security training module accessible to students and professionals worldwide. This project proposes various comprehensive experiments testing different notions in hardware security. The framework will be designed for both undergraduate and graduate students in the electrical engineering, computer engineering, and computer science departments, leveraging courses developed by the PIs in their respective institutions. The proposed infrastructure includes preparing detailed experiments for instructors with walkthrough documents and organizing student assignments for independent completion. This setup supports not only teaching but also facilitates independent research upon assignment completion. Supplemented with video instructions, these experiments will constitute a comprehensive training module, equipping participants with the necessary skills and knowledge to address complex challenges in this emerging domain, thereby instilling preparedness and confidence. This award is co-funded by the NSF Improving Undergraduate STEM Education (IUSE: EDU) Program. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students. This project is further supported by the Secure and Trustworthy Cyberspace (SaTC) program, which funds proposals that address cybersecurity and privacy, and in this case, cybersecurity education. The SaTC program aligns with the Federal Cybersecurity Research and Development Strategic Plan and the National Privacy Research Strategy to protect and preserve the growing social and economic benefits of cyber systems while ensuring security and privacy. 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": "12469", "attributes": { "award_id": "2319438", "title": "URoL:ASC: What rules of life allow collectives to effectively manage risk? Understanding the rules underlying risk management across systems to increase societal resilience", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "URoL-Understanding the Rules o" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-09-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28408, "first_name": "Theodore", "last_name": "Pavlic", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "Societies’ capacities to effectively manage risk, such as the threats arising from natural disasters, have not kept up with the world’s ecological changes. Previously very rare events, such as large floods or long-lasting droughts, are becoming more frequent, and the rapid dissemination of information on the internet is contributing to the spread of misinformation about hazards, risks, and how to manage them. To better deal with these risks, this project builds new risk management strategies that are based on biological Rules of Life. These rules are used by living systems to preserve and protect the life in those systems, including those based on altruism, community growth, communication, and enforcement of community rules. Biological systems that exploit these rules include bacterial colonies, hives of social insects, schools of fish, and herding animals.This project combines gamification of the Rules of Life with narrative storytelling to develop new strategies for collectively managing risk of natural disasters, infrastructure challenges, pandemics, and other shocks. The researchers use a practice-based co-design process that conducts science with involvement of individuals in at-risk communities. Story- and play-based activities that require solving cooperation and coordination dilemmas create a variety of experiences and products that uncover new solutions to societal challenges, encourage cooperation and collective risk management, determine new ways to encourage people to engage collective risk management strategies, and develop new outreach activities, such as museum exhibits and workshops. The project will benefit vulnerable low-income communities struggling to deal with disasters and water managers in the desert southwest trying to increase the resilience of the water supply.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": "12586", "attributes": { "award_id": "2301335", "title": "Collaborative Research: CISE-MSI: DP: CNS: An Edge-Based Approach to Robust Multi-Robot Systems in Dynamic Environments", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "CISE MSI Research Expansion" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28510, "first_name": "Pooyan", "last_name": "Fazli", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).Multi-robot systems consist of autonomous robots interacting in a shared environment to achieve common goals. They are widely used in real-world application domains such as transportation, disaster management, as well as warehousing and manufacturing. This project develops an efficient, robust, and secure multi-robot system, called EdgeRobot. EdgeRobot establishes an edge computing based architecture and algorithmic framework to facilitate multi-robot collaboration and coordination in dynamic environments. This work provides new model, architecture, and theory for coordinated multi-robot systems. In addition, this project builds research capacity, sustainable for training underrepresented students via the partnership of six geographically diverse minority-serving institutions in the United States: the University of Houston-Clear Lake (South), the University of Michigan Flint (North), CUNY-New York City College of Technology (Northeast), Morgan State University (East), San Francisco State University (West), and California State University Dominguez Hills (West). The cross-institutional collaboration not only boosts research capacity in all six participating institutions but also provides integrative research and education experience to their underrepresented minority students. Ultimately, this project establishes and exemplifies an effective collaboration model for training and educating underrepresented students from geographically diverse minority-serving institutions.This project consists of the following three research thrusts. First, the novel edge computing infrastructure provides optimal and location-aware computing services for collaborative robots to achieve their common goals. Besides, reinforcement learning-based algorithms solve the multi-robot scheduling and routing problems, modeled as variants of the prize-collecting traveling salesman problem. Second, in tasks requiring collaborative actions, such as cooperative target tracking, multi-agent reinforcement learning enables teams of robots to operate, learn, and adapt in dynamic and human-populated environments robustly and safely. Third, integrating modern cryptographic and security primitives secures the collaboration among edge nodes in multi-robot systems. Consequently, the interface between EdgeRobot and its human team members builds a shared autonomy model.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": "12653", "attributes": { "award_id": "2325166", "title": "Collaborative Research: Understanding the hydrologic consequences of urban irrigation across the U.S.", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "Hydrologic Sciences" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 8115, "first_name": "Diane", "last_name": "Pataki", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 202, "ror": "https://ror.org/03r0ha626", "name": "University of Utah", "address": "", "city": "", "state": "UT", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "All components of the water cycle are altered by human activities in cities, and the impacts of these changes on urban water and climate are still poorly understood. Urbanization affects climate, the amount of water in soil (soil moisture), and the type and amount of vegetation across the landscape. All of these factors strongly impact evapotranspiration (ET): the flux of water from land to the atmosphere. Urban ET is poorly predicted by hydrologic models that do not adequately represent human actions, such as irrigation. Yet, urban irrigation can have large effects on climate, soil moisture, and plant growth and survival. This study addresses the extent to which ET is limited by soil moisture, atmospheric water demand (a function of humidity and air temperature), or the density and distribution of vegetation within and across U.S. cities. Measurements will be made in three urban regions: Los Angeles, CA (a semi-arid city where irrigation has been declining due to drought response policy), Salt Lake City, UT (semi-arid but still heavily irrigated), and Tallahassee, FL (high rainfall and very high urban tree cover). These cities represent urban settings with different water cycle components. This project will advance knowledge and understanding of urban ET, improve basic climate and water cycle models, and to contribute to efficient water management in cities and urban landscapes. Urban hydrologic data are still sparse relative to observations in natural and agricultural systems. To advance a generalizable understanding of urban hydrology, it is necessary to explore categorizable differences within and across cities in the balance of water supply (soil moisture as supplied by both irrigation and precipitation), plant demand for water uptake (as determined by the magnitude, distribution, and composition of leaf area), and atmospheric evaporative demand (net radiation and vapor pressure deficit). The project will examine similarities and differences in these fluxes within and across cities by quantifying irrigation efficiency, its variability, and its key drivers. The contribution of each component of the soil-plant-atmosphere system to ET fluxes is likely to vary in mesic vs. arid/semi-arid climates and according to local irrigation practices as well as urbanization processes that influence land and vegetative cover. By sampling cities that are hypothesized to span different combinations and ranges of irrigation practices and likely limits on urban soil moisture, vapor pressure deficit, and ET, the investigators will test a general framework that can be applied beyond these specific cities and measurement sites. Ultimately, this project will use the extensive datasets collected in this study for advancing mechanistic models of urban landscape ET as an alternative to empirical crop and landscape coefficient approaches. The results will be disseminated to stakeholders and extension specialists who are focused on improving turfgrass management, outdoor water management, and urban water policy. The investigators will also leverage programs for recruiting and retaining undergraduate and graduate students from under-represented groups to build a diverse, interdisciplinary team aimed at broadening participation in STEM.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": "12710", "attributes": { "award_id": "2222546", "title": "Toward more Inclusive Undergraduate Research Experiences for Low Socioeconomic Students", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Directorate for STEM Education (EDU)", "Postdoctoral Fellowships" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28623, "first_name": "Emma", "last_name": "Goodwin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). This project addresses the need to increase the success of students of low socio-economic status (SES) who participate in undergraduate research experiences in life sciences. The research focuses on students’ academic success and interest, satisfaction, motivation, and persistence in science. To create more inclusive research opportunities for low SES students, the specific aspects of research experiences that may negatively or positively impact low SES student researchers need to be better defined and understood. Therefore, this project aims to use interview and survey methods to identify factors that impact low-SES student researchers at universities nationwide and to understand how these factors impact these early career scholars’ sense of belonging and integration into scientific fields. This project will result in evidence-based training resources to help research mentors create more inclusive and equitable research opportunities for low-SES students, ultimately supporting low-SES students in persisting and succeeding in science. Additionally, this project will support the training in research and teaching of an aspiring tenure-track biology education researcher. This project employs a sequential mixed-methods study design, which will inform the development of resources for mentors of low socioeconomic undergraduate life sciences students. To identify the factors that undermine and support low-SES undergraduates across multiple research contexts, the investigator will interview low SES student researchers in field, bench, and computer-based research apprenticeships as well as Course-based Undergraduate Research Experiences. A nationwide survey will then be employed to examine the prevalence of these factors and assess how they impact low SES students’ integration into science and their sense of belonging. The investigator will use these findings to inform the development of evidence-based training resources to provide mentors with tools to support low SES students. While much research on low SES students is deficit-based, this research will instead be conducted with consideration to the structural barriers higher education poses to this population. This study is guided by the social psychology theoretical frameworks of concealable stigmatized identity and background-specific strengths. The project responds to the STEM Education Postdoctoral Research Fellowship (STEM Ed PRF) program that aims to enhance the research knowledge, skills, and practices of recent doctorates in STEM, STEM education, education, and related disciplines to advance their preparation to engage in fundamental and applied research that advances knowledge within the field.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": "12898", "attributes": { "award_id": "2116912", "title": "Doctoral Dissertation Research: Drivers of Cooperative Behavior in Situations of Conflict", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "Cult Anthro DDRI" ], "program_reference_codes": [], "program_officials": [ { "id": 616, "first_name": "Jeffrey", "last_name": "Mantz", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-01", "end_date": null, "award_amount": 25199, "principal_investigator": { "id": 28852, "first_name": "Lea", "last_name": "Gleason", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 28852, "first_name": "Lea", "last_name": "Gleason", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). <br/><br/>Humans learn about the reputations of people they have never met through a range of direct and indirect forms of communication, and these reputations help them choose new partners in cooperative scenarios. This doctoral dissertation research project investigates how people communicate reputational information, how reputation impacts decision-making, and what types of communication inhibit or enable utility in these associations. Its findings shed light on the cultural norms that help develop social consensus thereby allowing for large-scale cooperation of many people. The results can help stakeholders develop effective solutions for cooperative dilemmas involving many entities such as resource preservation and climate change. Additionally, this project provides STEM research opportunities for graduate and undergraduate students and improve science competency through public outreach events.<br/><br/>This project examines how reputation impacts cooperative decisions in situations of conflict. Reputations are transmitted through various forms of communicative interaction, but it is not well-understood how these reputations endure, by remaining reliable enough that people rely on them when making future decisions about cooperation. Using ethnography, surveys, vignettes, and an economic game, this study assesses how reputations are learned, the degree of agreement about an individual's reputation, and how perceptions of reputation impact interactions with other people. Data is analyzed through social network analysis and Bayesian statistics to identify the level of agreement between participants and the scale of reputational information. Data from this project assesses the assumptions of theoretical models to evaluate the importance of reputation-based cooperation. Multiple disciplines stand to benefit through the content and social network analysis of reputation transmission as it provides insight into the various functions of reputational communication, including for ostracism, alliance building, norm enforcement, and establishing group boundaries.<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": "12949", "attributes": { "award_id": "2231959", "title": "The Impact of Country of Origin on Group Consciousness in Political Behavior Research", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "Build and Broaden" ], "program_reference_codes": [], "program_officials": [ { "id": 25900, "first_name": "Enrique", "last_name": "Pumar", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-15", "end_date": null, "award_amount": 181501, "principal_investigator": { "id": 28932, "first_name": "Kenicia", "last_name": "Wright", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). The goal of this project is to gain insights into the political attitudes and behaviors of citizens with different countries of origin. Scholarly knowledge of the effects of country of origin on political opinions, behavior, and policy preferences remains limited, despite the fact that these groupings comprise a sizable portion of the electorate. This project will address this gap and develop an evidence-based understanding of the effect of country of origin on the political behavior of American citizens. Consistent with the mission of NSF, this study will contribute to a more informed and nuanced understanding of the unique challenges and opportunities facing democratic governance and national welfare in the United States in a period of uncertain transformation. In addition to the proposed research, this project will also support a small conference of diverse scholars with areas of expertise related to citizens' country of origin and gender that will include presentations by undergraduate and graduate students. This project will therefore connect scholars from across the country who share research interests and provide students from underrepresented backgrounds with a unique opportunity to gain hands-on research experience. <br/><br/><br/>The proposed research includes interviews and focus groups aimed at providing in-depth insights about Latinx political attitudes and a nationally representative survey of citizens. The resulting data will be used to evaluate how gender and country of origin interactively influence the opinions and political behavior of citizens and shape the scope and nature of group consciousness among American citizens. This project therefore enables the development of an intersectional theoretical approach to study how multiple social identities influence the opinions and political behavior of citizens. This cross-cutting approach allows this project to contribute to a gap in existing research.<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": "13132", "attributes": { "award_id": "2142734", "title": "Collaborative Research: Using Communities of Practice to Transform STEM education for Latinx Students at Two-Year Hispanic Serving Institutions", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Directorate for STEM Education (EDU)", "IUSE" ], "program_reference_codes": [], "program_officials": [ { "id": 7907, "first_name": "Jennifer", "last_name": "Lewis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 176, "ror": "", "name": "University of California-Berkeley", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] } ], "start_date": "2022-05-01", "end_date": null, "award_amount": 2269502, "principal_investigator": { "id": 29159, "first_name": "Mara", "last_name": "Lopez", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 29157, "first_name": "Mara N", "last_name": "Lopez", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 29158, "first_name": "Derek F", "last_name": "Dormedy", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). This project aims to serve the national interest by improving STEM education for Latinx students at two-year Hispanic Serving Institutions (HSIs). The U.S. Census Bureau estimates that Latinx people are the fastest-growing segment, nearly 30%, of the U.S. population, and yet the demand for skilled workers in STEM fields will be difficult to meet unless the nation’s STEM workforce reflects the diversity of the population. While Latinx students have shown to be just as likely as White students to major in STEM, their numbers drop dramatically when it comes to completing STEM degrees, lagging behind other ethnicities. Two-year HSIs wishing to serve their Latinx students are at the forefront of the efforts to close achievement gaps in STEM education and improve Latinx STEM student outcomes. This project will focus strictly on STEM Planning Teams (faculty, staff, administrators, and students) as Communities of Practice (CoPs) at 16 two-year HSIs as a promising element leading to institutional transformation of STEM teaching and learning. <br/><br/>The project goal is to study the CoPs influence on STEM teaching and learning to transform the institution and signal intentionality to improve outcomes for Latinx STEM students across 2-yr HSIs. The project scope is to provide 2-yr HSIs with a framework that brings together cross-functional, cross-disciplinary STEM teams to perform college-wide STEM assessments, develop multi-year STEM Plans, and act upon those plans. The framework is a STEM Evidence-based Student Serving (STEM-ESS) self-assessment and planning process that incorporates research outcomes from Subject Matter Experts on Latinx student servingness, equity, and intentionality. STEM teams at participating institutions will be assisted by project leadership and subject matter experts as they self-assess, analyze strengths and gaps, prioritize high impact activities, and develop a strategic STEM plan. In pursuing high impact activities, teams will look to adapt and implement evidence-based solutions and/or develop proposals for federal funding. Regular professional development webinars and workshops are planned for high-impact topics, e.g., undergraduate research at community colleges (CCs), industry connections, and active learning. Individualized and team support will be provided monthly, with more frequent meetings for teams needing additional support. The methodology of this four-year project will validate the STEM-ESS framework using a mixed methods, embedded case study design. Quantitative and qualitative data will be collected and analyzed at the individual, CoP, and institutional levels to provide evidence for organizational transformation. Triangulated findings and outcomes of the formative and summative evaluation reports will add new knowledge to the STEM teaching and learning field and advance understanding of how cross-disciplinary and cross-functional STEM CoPs serve as institutional change agents to advance institutional capacity-building for STEM educational equity for Latinx students. Findings will also be disseminated to practitioner- and scholar- focused audiences through virtual, conference, and journal outlets, and collaborations with broader networks. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Institutional and Community Transformation track, the program supports efforts to transform and improve STEM education across institutions of higher education and disciplinary communities. This project is also supported by the NSF IUSE:HSI program, which seeks to enhance undergraduate STEM education, broaden participation in STEM, and build capacity at HSIs.<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": "13341", "attributes": { "award_id": "2143229", "title": "CAREER: Molecular and Cellular Mechanisms Underlying Circuit-Host Interactions", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "Cross-BIO Activities" ], "program_reference_codes": [], "program_officials": [ { "id": 2186, "first_name": "Anthony", "last_name": "Garza", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-02-01", "end_date": null, "award_amount": 687739, "principal_investigator": { "id": 29426, "first_name": "Xiaojun", "last_name": "Tian", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).<br/><br/>Synthetic gene circuits are engineered circuits that allow researchers to program and design cells for a variety of biotechnology applications, including the synthesis of therapeutics, sustainable agriculture and production of renewable resources. Although many synthetic genetic circuits have been successfully used, they have a high rate of failure due in part to negative impacts on host cells. The long-term goals of this project are to better understand how synthetic circuit design impacts host cells and to use this knowledge to design circuits that are less harmful. A diverse group of high school, undergraduate, and graduate students will participate in the research project through active learning and hands-on training. American Rescue Plan funding of this project will support this researcher at a critical stage in his career.<br/><br/>Synthetic gene circuits over the last two decades have shown remarkable functional versatility in engineering host organisms and cellular capabilities for desired functions. However, most synthetic gene circuits are highly dependent on multiple undesired factors through complicated circuit-host interactions, such as metabolic burden, cell growth feedback, and resource competition. Another critical reason is that the fundamental molecular mechanism the host cells could adopt to entertain and constrain exogenous synthetic gene circuits is still unclear. Moreover, the lack of quantitative tools to accurately predict the behavior of gene circuits and control their interactions with the host cell is impeding progress in the field. This research program aims to dissect the fundamental mechanisms of circuit-host interactions to understand the molecular and cellular organization of the host system and engineer predictable/controllable gene circuits. A library of gene circuits will be built to gain in-depth mechanistic understandings of how circuit-host interactions are established. An ensemble of mathematical models at different levels will be formulated to characterize the host-circuit mutual interactions at single-cell, population, or ecological levels. The proposed research will advance the quantitative understanding of the crosstalk between gene circuits and bacterial physiology, develop a quantitative characterizing of complex circuit-host interactions on the host cell function and behavior of engineered gene circuits, and facilitate gene circuit design to meet design specifications through practical strategies that target the circuit-host interactions.<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": "13345", "attributes": { "award_id": "2145562", "title": "CAREER: Structural Discovery of Super-Complexes Regulating Energy Flow in Photosynthesis", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "Molecular Biophysics" ], "program_reference_codes": [], "program_officials": [ { "id": 1127, "first_name": "Engin", "last_name": "Serpersu", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-02-01", "end_date": null, "award_amount": 876039, "principal_investigator": { "id": 29430, "first_name": "Yuval", "last_name": "Mazor", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "Oxygenic photosynthesis sustain life on earth by producing oxygen and providing energy for carbon fixation. Increased human population constantly challenges food and energy supplies thus requiring continued innovation to increase the productivity of photosynthesis in multiple ways. This research project will discover how plants direct light energy absorbed in leaves between two different energetic routes. The outcomes of these two routes, which are called linear and cyclic electron flow, produces different energy carries within plant cells. These energy carries are utilized differentially under different conditions and the balance between them is paramount for plant growth and adaptation. The project aims to discover new components and mechanisms that direct this decision using structural biology and protein engineering approaches. An additional goal of the project is to obtain molecular level images of these routing mechanisms in plants that utilize a special form of photosynthesis called C4 photosynthesis. C4 photosynthesis is employed by some of the most important crop species on the planet, Corn, Sugarcane and Sorghum, and confers to these plants many of the advantages that make them such successful crops, for example, improved water usage and higher photosynthetic efficiency. The project will use Sorghum, a plant better adapted to warm and dry conditions then Corn, as a platform to discover components and mechanisms that control electron flow and may be responsible for some of Sorghum’s unique properties. To improve accessibility to the project’s scientific results and to structural biology in general, scientifically accurate virtual reality scenes will be developed based on the project results. These will be used in basic biochemistry courses and made publicly available. A summer research internship will be offered to veterans to actively participate in this research project to enable exploration of research as career path. <br/><br/>Our ability to control and manipulate photosynthesis is severely limited. The long-term goal of the project is to develop a high-level understanding of the function of photosynthetic supercomplexes together with the ability to manipulate their properties in photosynthetic organisms. To achieve this, the project will discover new structures of the photosystem I (PSI) complex in eukaryotes. PSI is one of the most complicated assemblies in nature. Like many large cellular structures, PSI interacts with cellular factors to carry distinct functions, a fact which is still not manifested in our structural description of PSI. Electron flow in photosynthesis follows two main modes, linear or cyclic electron flow (LEF or CEF respectively). By balancing these two pathways, photosynthetic organisms adapt the output of the photosynthetic machinery to cellular needs. The potential for engineering photosynthetic organisms to achieve higher productivity and to synthesize specific chemicals is great but requires changing the basic energy requirements from this machinery. This proposal tackles this issue using cryo-EM supplemented with functional analysis to discover supercomplexes adjusting energy flow around PSI. By determining high-resolution structures of these complexes our mechanistic understanding of the basic systems controlling electron flow modes in photosynthesis will greatly improve. This project is funded by the Molecular Biophysics Cluster in the Division of Molecular and Cellular Biosciences.<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 } } ], "meta": { "pagination": { "page": 1392, "pages": 1405, "count": 14046 } } }