Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1384&sort=approved
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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": "12587", "attributes": { "award_id": "2224109", "title": "Collaborative Research: GEM--Impact of Solar Wind Dynamic Pressure Enhancement on the Cusp and Polar Cap Ion Source", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "MAGNETOSPHERIC PHYSICS" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 12691, "first_name": "Yu", "last_name": "Lin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 273, "ror": "https://ror.org/02v80fc35", "name": "Auburn University", "address": "", "city": "", "state": "AL", "zip": "", "country": "United States", "approved": true }, "abstract": "Outflow ions from the ionosphere are one of the major particle sources for the Earth's space environment. Their dynamics in the region inside the geosynchronous orbits play a crucial role in space weather disturbances, whose effects include satellite drag, disruption in communication and navigation systems, and damaging electric power grids. This project is focused on understanding the physical processes of how one of the drivers from the Sun, solar wind compression of the geospace, generates these outflow ions and their transport. The compression can often be strong and impulsive, but we currently have little knowledge in both observations and simulations on the resulting outflow ions. This project will establish such knowledge, which is urgently needed in the space community to improve our forecast ability for impulsive space weather events. This project supports the education of a graduate student by providing balanced tasks for developing the student's essential research ability in both simulations and data analysis.The science goal of this project is to understand how solar wind compression impacts outflow ions. The two main objectives and methods are (1) Investigating Cluster satellite data to establish a better observational understanding of temporal variations of the ion fluxes in the cusp and lobes resulting from the compression. (2) Conduct 3D global hybrid simulations to evaluate the physical processes behind the outflow ions caused by the compression. The hybrid simulation is currently the most appropriate tool to take into account the kinetic processes of these outflow ions. The simulations are designed to be compared with the observation results to establish a solid physical understanding. It will also improve our current model specification of the outflow ions that can eventually be incorporated into space weather modeling to achieve a better forecast of the impact of solar wind compression.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": "12588", "attributes": { "award_id": "2224108", "title": "Collaborative Research: GEM--Impact of Solar Wind Dynamic Pressure Enhancement on the Cusp and Polar Cap Ion Source", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "MAGNETOSPHERIC PHYSICS" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28511, "first_name": "Chih-Ping", "last_name": "Wang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 151, "ror": "", "name": "University of California-Los Angeles", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Outflow ions from the ionosphere are one of the major particle sources for the Earth's space environment. Their dynamics in the region inside the geosynchronous orbits play a crucial role in space weather disturbances, whose effects include satellite drag, disruption in communication and navigation systems, and damaging electric power grids. This project is focused on understanding the physical processes of how one of the drivers from the Sun, solar wind compression of the geospace, generates these outflow ions and their transport. The compression can often be strong and impulsive, but we currently have little knowledge in both observations and simulations on the resulting outflow ions. This project will establish such knowledge, which is urgently needed in the space community to improve our forecast ability for impulsive space weather events. This project supports the education of a graduate student by providing balanced tasks for developing the student's essential research ability in both simulations and data analysis.The science goal of this project is to understand how solar wind compression impacts outflow ions. The two main objectives and methods are (1) Investigating Cluster satellite data to establish a better observational understanding of temporal variations of the ion fluxes in the cusp and lobes resulting from the compression. (2) Conduct 3D global hybrid simulations to evaluate the physical processes behind the outflow ions caused by the compression. The hybrid simulation is currently the most appropriate tool to take into account the kinetic processes of these outflow ions. The simulations are designed to be compared with the observation results to establish a solid physical understanding. It will also improve our current model specification of the outflow ions that can eventually be incorporated into space weather modeling to achieve a better forecast of the impact of solar wind compression.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": "12589", "attributes": { "award_id": "2236449", "title": "CRII: CNS: Towards Spectrum and Energy Efficient Large-scale IoT Communications: A Cross-layer Optimization Approach", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Information Technology Researc" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28512, "first_name": "Haijian", "last_name": "Sun", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 160, "ror": "", "name": "University of Georgia Research Foundation Inc", "address": "", "city": "", "state": "GA", "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).Although 5G has dramatically improved network capacity and spectrum efficiency (SE), the explosive growth of Internet of Things (IoT) demands for more spectrum and energy resources to support high device density and massive traffics. It is estimated that at least 5.2 GHz bandwidth is required for just eHealth Care IoT if spectrum is accessed exclusively, or 1.3 GHz even with dynamic sharing strategy. It is clear that shortage of spectrum resources is a major bottleneck for the success of IoT popularity. On the other hand, current IoT devices use standards such as Bluetooth, LoRA, Sigfox, narrow-band IoT (NB-IoT), or Zigbee, which require power-hungry active radio frequency components like oscillators and converters. Battery-driven IoT devices can hardly sustain years of life-cycle goal even with infrequent transmission and optimized low-power protocols. Thus, sustainable energy consumption is another challenge. With tens of billions of IoTs desire for connectivity by 2030, there is a pressing need to address both SE and energy efficiency (EE) challenges to accommodate for such densified IoT networks. This research seeks to improve SE and EE performance while providing guaranteed quality of service (QoS) for IoTs at large-scale, thereby providing a feasible and practical connectivity solution in massive IoT era. Outcomes from this project can bring following impacts: 1) a hybrid and cooperative communication architect for IoTs, which combines benefits from both active and passive mode; 2) integration of research and curriculum design, capstone projects to both undergraduate and graduate students; 3) cutting-edge research experiences to a primarily undergraduate institution (PUI). The core approach is to enable IoT device with a wireless-powered hybrid communication structure that can not only minimize energy footprint with energy harvesting from ambient signals, but also integrate coordinated passive and active communication to support versatile QoS needs with efficient spectrum utilization through user cooperation. This project offers a holistic solution to deliver following innovations. 1) A novel PHY transmission architect. It combines a bio-inspired symbiotic radio to coordinate excessive interference. Optimization problems for SE and EE metrics are introduced from PHY resource allocation perspective. 2) The co-designed MAC layer protocol to ensure proper user and resource coordination. Two protocols will be introduced, one for maximum performance and the other for lower complexity. 3) System validation with software and hardware implementations. Extensive experimental verification is designed to systematically validate the performance of proposed schemes and algorithms.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": "12590", "attributes": { "award_id": "2216625", "title": "BPC-DP: Broadening Participation of Underrepresented Groups Through the Computational Core Initiative", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "CSGrad4US-CISE Grad Fellowshps" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28513, "first_name": "Joshua", "last_name": "Weese", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 197, "ror": "https://ror.org/05p1j8758", "name": "Kansas State University", "address": "", "city": "", "state": "KS", "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).As of 2020, only 27% of Kansas high schools offered a computer science course. To address this dearth of access, The Cyber Pipeline Initiative led by the Kansas State University Department of Computer Science (KSUCS) provides computer science curriculum and teacher professional development, certification, and support across the state. Currently, the Cyber Pipeline reaches 7 schools. With this demonstration project, KSUCS aims to expand the Cyber Pipeline Initiative’s coverage statewide. With 207 of the state’s 286 school districts located in rural areas, the project will consider the unique challenges faced by rural students and their schools. In addition, the project will work to modify the Cyber Pipeline curriculum to be relevant to students with intersecting identities, including women, African American/ Black, and Hispanic/Latinx students in rural areas. The project will also increase understanding around how rural students engage with computer science and what strategies may attract more to the discipline. The work will leverage the Cyber Pipeline Initiative’s Computing Core Initiative (CCI) curriculum and instructional approaches to increase the number of students seeking and succeeding in CS by identifying and addressing immediate barriers faced by rural students. Over the two-year grant duration, at least 20 schools in Kansas will receive at least one Computing Core Initiative (CCI) course with associated instructor support to demonstrate that the use of CCI courses in rural high school settings leads to more women, Latinx, and Black/African American students entering pathways toward CS and computing-embedded degrees. Changes in students' attitudes toward learning CS, the effects of sharing information about local CS career pathways, the impact of offering one or more CS courses in high schools, and the degree to which students' social identities influence their interest in CS careers will be analyzed. To get a broader picture of the perceptions of computer science throughout the community this information will come from students, teachers, and parents.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": "12591", "attributes": { "award_id": "2213166", "title": "MPS-Ascend: Representation Theory of General Linear Groups over Finite Local Principal Ideal Rings", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "ASCEND - MPS" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28514, "first_name": "Nariel", "last_name": "Monteiro", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2119, "ror": "", "name": "Monteiro, Nariel", "address": "", "city": "", "state": "MA", "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). PI Monteiro, Nariel is awarded a National Science Foundation Mathematical and Physical Sciences Ascending Postdoctoral Research Fellowship (NSF MPS-Ascend) to conduct a program of research and activities related to broaden participation by groups underrepresented in STEM. This fellowship to Dr. Monteiro supports the research project entitled \"Representation Theory of General Linear Groups over Finite Local Principal Ideal Rings,\" under the mentorship of a sponsoring scientist. The host institution for the fellowship is the University of California, Santa Cruz, and the sponsoring scientist is Dr. Robert Boltje.The PI plans to construct complex representations of general linear groups over a finite local principal ideal ring and investigate similarities with representations of such groups over arbitrary fields of positive characteristic, particularly the modular representations. The primary technique for such study will be to use block theory and the general study of G-algebras, which has previously been applied successfully by the PI in the case r = 2. The PI plans to investigate generalizations of such results to other algebraic groups. The PI will also focus his time on playing a leadership role in PROMYS Math Circle (PMC), a program focused on increasing the representation of underrepresented students in STEM fields. This includes developing mathematical content, applying for grants to support PMC, and helping run a 6-week summer program. Building on his prior experience with programs to encourage and support the participation of students from underrepresented and low-income groups in the STEM field, the PI will engage in various outreach, recruitment, and retention initiatives.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": "12592", "attributes": { "award_id": "2219435", "title": "CISE-MSI: RCBP-ED: SaTC: Increasing Cybersecurity Research Capacity and Support Services for Underrepresented Computer Science and Information Technology Majors", "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": 28515, "first_name": "Gregory", "last_name": "Simco", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 934, "ror": "https://ror.org/042bbge36", "name": "Nova Southeastern University", "address": "", "city": "", "state": "FL", "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).With support from the Computer and Information Science and Engineering Minority-Serving Institution (CISE-MSI) Research Expansion Program, this project aims to develop a minimum of 6 new in-person and online cybersecurity research activities and incorporate them into 6 existing courses in the College of Computing and Engineering, focusing on improving the safety and security of critical computer applications, systems, and data. Activities also will include seminars, events, and mentoring to further engage and motivate students, especially Hispanics, Blacks, and women who are underrepresented in STEM. The project will contribute important findings to the body of knowledge in STEM higher education regarding the relationship between academic success, research experiences, and supplemental support activities. Increasing the success of students (especially those who are underrepresented) to pursue high demand STEM fields will contribute to the American innovation economy, and benefit society by increasing underrepresented student graduation leading to increased employment diversity in cybersecurity-related occupational fields. The project team of researchers will enhance the capacity of the College of Computing and Engineering to engage undergraduate and graduate computing and information technology Bachelor of Science and Bachelor of Science/Master of Science dual admission majors in the research enterprise by demonstrating the effectiveness of expanding faculty use of technology systems and research-informed instructional approaches designed to broaden the participation and success of all students, including those who are underrepresented in STEM. Faculty will develop instructional strategies that increase student access to advanced tools and resources to bolster preparation for and participation in cybersecurity-related research activities, focusing on building secure system architectures, securing critical components, and examining attack patterns through simulations, including use of artificial intelligence and data analytics. The body of knowledge shared will advance opportunity equity, increasing US intellectual capital for underrepresented students who have the potential to succeed in greater numbers in the Hispanic-Serving Institution environment, bringing a new perspective to conventional instruction.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": "12593", "attributes": { "award_id": "2216586", "title": "BPC-AE: Collaborative: Evolution of the Institute for African Americans in Computing Sciences (IAAMCS)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "CISE Education and Workforce" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 18425, "first_name": "Juan", "last_name": "Gilbert", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 290, "ror": "https://ror.org/037s24f05", "name": "Clemson University", "address": "", "city": "", "state": "SC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 158, "ror": "https://ror.org/02y3ad647", "name": "University of Florida", "address": "", "city": "", "state": "FL", "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).Morehouse College, University of Florida, Auburn University, and the American Institutes for Research will collaborate to extend the Institute for African-American Mentoring in Computing Sciences (iAAMCS, pronounced \"i am cs\"). iAAMCS serves as a national resource for the computing community and emphasizes mentoring as a primary strategy for increasing the participation of African-Americans in computing. iAAMCS seeks to build an ecosystem for African American researchers that have connected to each other through iAAMCS activities including: Fellowship Writing Bootcamp, Future Faculty and Research Scientist Mentoring Program, Annual Report on the State of Blacks in Computing in Higher Education, and the Black Student Matching Registry. iAAMCS will develop and disseminate mentoring content resources and guidelines for African American students in computing programs. The overarching goal of the iAAMCS is to increase the number of African-Americans obtaining graduate computing degrees leading to an increase in the number of African-American researchers in the academy, government, and industry. IAAMCS will further its role as a national resource for African Americans in computing and serve as an information, communication, networking, and evaluation community for African Americans who are either considering an advanced degree in computing or enrolled in a graduate computing program. As an alliance, iAAMCS will bring together mentors, advisors, and subject matter experts in an effort to provide support, mentoring, information, opportunities, and networking to its members. Those participants directly impacted by IAAMCS include African American computing undergraduates who are interested in graduate school, African American computing graduate students, CISE PIs, CS departments, BPC researchers, African American CS faculty, and HBCU CS faculty. The goals for this alliance extension include: 1) Increase in African American students in graduate computing programs; 2) Increase in African American recipients of graduate degrees in computing; 3) Increase the number of African Americans who enter the professoriate; 4) Increase the number of African Americans who enter careers that utilize an advanced degree in computing; 5) Longitudinal data collection and evaluation for national dissemination; 6) Support CISE PIs and CS Departments looking to support BPC efforts; and 7) Support HBCU and African American computer science faculty. iAAMCS activities will all fall in the categories of Original Programming, Core Research, Platform Management, and Event Participation. Through significant, creative integrations using YouTube and LinkedIn, IAAMCS plans to expand the reach of students who can benefit from its programming.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": "12594", "attributes": { "award_id": "2219702", "title": "Collaborative Research: CISE-MSI: DP: CPS: Cyber Resilient 5G Enabled Virtual Power System for Growing Power Demand", "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": 28516, "first_name": "Maria", "last_name": "Laurent-Rice", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2120, "ror": "https://ror.org/03tj9dz52", "name": "Stillman College", "address": "", "city": "", "state": "AL", "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 demand for clean power is on the rise globally. The United States Department of Energy has projected that the percentage of clean electricity generated by solar power will increase to 33% to compete with the ever-growing electricity demand in the United States (US) by the year 2050. To minimize the upgradation of the existing substation and source infrastructure, it is favorable to integrate a solar energy source aided with battery storage system at the distribution level. The combination of these energy sources can be managed efficiently to behave like a \"single utility-scale power station”. This is the concept of Virtual Power Plant (VPP). This project aims to address the implementation of cyber-secure pole mounted solar and battery systems equipped with smart controllers to provide a framework to remotely control and optimize the system to provide a solution to the growing power demands. Furthermore, by employing and mentoring students from underrepresented backgrounds in STEM, this project will aim at bridging the gap in institutions across the US. It will train the next generation of scholars from minority serving universities and marginalized communities in the fields of cybersecurity, utilization of renewable resources, and machine learning to address the pressing problems of this age.The technical aspect of the project aims to design and implement a 5G-enabled, cyber resilient smart Artificial Intelligence (AI) based microinverter for a pole-mounted solar power system with an energy storage system connected to the low-voltage distribution networks to operate as a VPP. The data collected from the smart microinverter will be used to train a predictive model to better manage the system for improved performance. A secure and privacy-preserving 5G based communication protocol will allow uninterrupted and secure data flow between the photovoltaic and the battery system, the smart microinverter, and the Supervisory Control and Data Acquisition (SCADA) system. Hence, a security framework based on Machine Learning (ML) models will be designed and it will be based on prior cyber-attack datasets and will include continuous learning using the data collected from smart controllers and the SCADA system used to detect cyber-attacks and exploring mitigation solutions for 5G-enabled SCADA-controlled VPP network system. Guidelines and procedures will be designed to help secure the physical systems while ensuring privacy and data protection by alerting administrators regarding security compromises of the VPP network to mitigate the risks and attacks.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": "12595", "attributes": { "award_id": "2222530", "title": "Professional Informatics in Support of Inclusive and Equitable Teaching Practices", "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": "2022-10-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28517, "first_name": "Tricia", "last_name": "Ngoon", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 243, "ror": "", "name": "Carnegie-Mellon University", "address": "", "city": "", "state": "PA", "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).College instructors often receive little to no feedback about their teaching or teaching strategies. Moreover, stark gender and racial disparities in STEM classrooms point to issues of inequality and uneven quality of learning experiences. This research project is designed to explore the use of sensing systems such as cameras and microphones in classrooms to collect data about how instructors teach. That data can then form the basis for personalized feedback on teaching practices. This overall program of investigation aims to reframe personal informatics, the use of self-tracked data to achieve one’s goals, as professional informatics (Pro-I) that can help STEM instructors improve their craft and, in so doing, create more equitable learning experiences. Such improvements hold promise especially, to increase STEM participation among students who are underrepresented in their participation in STEM fields of study. This research also has the potential to contribute to a general understanding of the use of sensing technologies in classrooms as a teaching aid and provide materials that aid self-reflection and improvement that could benefit many faculty. The principal investigator seeks to use Pro-I technologies to help STEM instructors further develop their professional practice with a view towards creating more equitable learning experiences in their undergraduate courses. Prevalent sources of feedback to faculty about their teaching, if received at all, are based on human observations, which do not always scale well. This project is designed to use classroom sensing systems to collect multimodal data such as movement patterns, gaze, facial expressions, and audio to provide a nuanced picture of teaching behaviors. The resulting data will be the basis for multimodal analytics designed to help instructors reflect on their teaching practices and derive actionable insights for improvement. This research could extend two existing technologies: EduSense a computer-vision based classroom sensing system and Edulyze an analytics pipeline for processing and visualizing multimodal classroom data. This project is comprised of three studies. First, educational stakeholders such as instructors, students, and administrators will be interviewed about their perceptions of privacy, agency, and adoption of Pro-I data and systems. Second, classroom data will be collected through EduSense and examined through Edulyze with particular attention to how analyses influence instructors’ self-efficacy and motivation to improve their teaching. Analyses will also examine the design of data visualizations for multimodal classroom data. Third, based on the results of the first two studies, a prototype Pro-I system will be developed and deployed for a semester to examine the effects of reflecting on the resulting analyses. This research has the potential for important contributions: increased understanding of the perceptions of privacy, agency, and adoption of Pro-I systems as they relate to the ethical design of classroom sensing systems; empirical evidence of how Pro-I data can impact instructors’ self-efficacy and motivation to improve their teaching; and the Pro-I technology that is intended to scaffold instructor reflections about classroom data as a means to further develop professional vision for equitable teaching and learning.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 } } ], "meta": { "pagination": { "page": 1384, "pages": 1392, "count": 13920 } } }