Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1392&sort=-principal_investigator
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This Agreement allows a single joint US/UK proposal to be submitted and peer-reviewed by the Agency whose investigator has the largest proportion of the budget. Upon successful joint determination of an award, each Agency funds the proportion of the budget and the investigators associated with its own investigators and component of the work. This project is to (1) operate, maintain, and expand a high-latitude array of autonomous instruments to support research of the wider geospace research community into the sources of inter-hemispheric asymmetries, (2) conduct focused science investigations to develop understanding of the sources of high-latitude magnetic perturbations in the multi-scale, global, solar wind - magnetosphere – ionosphere – ground (SWMIG) system, including during the 2021 solar eclipse and (3) conduct education and outreach to facilitate broader access to polar research efforts. These objectives will be achieved through an unsurpassed network of closely-spaced magnetically-conjugate magnetometers in Antarctica and in the Northern Hemisphere near the 40 degree magnetic meridian, most of which have already been deployed. This project expands an existing Virginia Tech/Technical University of Denmark partnership to include the British Antarctic Survey (BAS), Space Science Institute, and UCLA. Graduate and undergraduate students will be supported, including a special research program to engage students from minority-serving institutions.Measurements of surface magnetic field perturbations are important to remotely sense and characterize the SWMIG phenomena that affect technology – such as geomagnetically induced currents – and thereby to develop physical models and forecast space weather impacts. However, understanding the sources of magnetic perturbations in the coupled SWMIG system is challenging due to their simultaneous dependence on driving conditions, ionospheric conductivity and ground conductivity. We seek to address the following science questions, \"How do magnetosphere-ionosphere current systems couple to high-latitude ground magnetic perturbations? What roles do current system spatial scale, inhomogeneous ionospheric conductivity, and inhomogeneous ground conductivity play?\" By combining British Antarctic Survey, Technical University of Denmark, and NSF-supported magnetometers, a new combined array will provide unprecedented coverage throughout the auroral zone/cusp in both hemispheres simultaneously. These data enable novel experiments to isolate the respective contributions of driver spatial/temporal scale, ionospheric conductivity, and local ground conductivity in the generation of ground magnetic perturbations. This project includes field work in the Antarctic, supported by both the U.S. Antarctic Program (USAP) and the BAS. USAP and BAS have agreed to support maintenance visits to receiver site locations and to support the retrograde of equipment at the end of the program. BAS and USAP will work collaboratively to deploy an additional instrument to a logistically feasible location that best serves the project. The USAP and BAS have agreed to support this program logistically, with the first field deployment year to be determined after the uncertainties related to the coronavirus pandemic are resolved.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": "612", "attributes": { "award_id": "2024802", "title": "Collaborative Research: NRI: INT: Transparent and Intuitive Teleoperation Interfaces for the Future Nursing Robots and Workers", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)" ], "program_reference_codes": [], "program_officials": [ { "id": 1357, "first_name": "Wendy", "last_name": "Nilsen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-09-01", "end_date": "2023-08-31", "award_amount": 490664, "principal_investigator": { "id": 1362, "first_name": "Zhi", "last_name": "Li", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 217, "ror": "https://ror.org/05ejpqr48", "name": "Worcester Polytechnic Institute", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 1358, "first_name": "Jeanine L", "last_name": "Skorinko", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 1359, "first_name": "Yunus Dogan", "last_name": "Telliel", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 1360, "first_name": "Cagdas D", "last_name": "Onal", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 1361, "first_name": "Jie", "last_name": "Fu", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 217, "ror": "https://ror.org/05ejpqr48", "name": "Worcester Polytechnic Institute", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "The recent pandemic outbreaks, including Ebola, Zika and the 2019 Novel Coronavirus (2019-nCoV), urge tele-medicine to go beyond mere tele-presence, to achieve robots that perform real-world nursing assistance tasks that require the coordinated control of manipulation, locomotion, and active teleoperation. Remotely-controlled nursing robots provide a promising alternative for quarantine and remote patient care. However, the traditional and contemporary human-robot interfaces fundamentally limit the performance and user experience of nursing robot teleoperation, and may reinforce burden and safety concerns that discourage healthcare workers to adopt robots. To address this problem, this project will (1) develop an innovative integration of transparent and intuitive teleoperation interface, to support the freeform and coordinated motion control of the remote nursing robots, and (2) integrate this interface with the robot intelligence to enable nursing professionals to learn robot teleoperation with minimal training, and to reduce the physical and cognitive workload using shared autonomy. The proposed project will promote the progress of science in human-robot interfaces for robot teleoperation, and advance the quality, availability and sustainability of healthcare in the present and future pandemic crisis. This project will have significant impacts on the domain of nursing, which consists of 2.9 million registered nurses and 160,000 nurse practitioners across the U.S. It will revolutionize patient-care in quarantine, and has the potential to extend to in-home care, clinics, and hospitals given the upcoming shortage of nursing workforce. The fundamental research also generalizes to other worker domains with robot tele-operations, including warehouse, social service, and maintenance. The proposed research will forge substantial collaboration among faculty and students in robotics engineering, nursing and social science. This project consists of two research themes. Research Theme 1 will develop a soft-robot teleoperation interface architecture and systematic human-inspired motion mapping strategies, to support the intuitive and transparent mapping of the motion, force, and perception information between humans and robots. The proposed interface will enable transparent and legible robot behavior of reaching-to-grasp, loco-manipulation, and the control of active telepresence. Research Theme 2 will develop the intelligence of the interface, to enable interactive learning and mutual adaptation between humans and robots. Based on game-theoretic planning, it will develop adaptive shared autonomous strategies that use human-robot communication via haptic feedback. It will employ active tele-presence to enhance the training and reduce workload in tele-operation of the human operator. The integrated interface will be evaluated in comprehensive user studies with registered nurses, nursing faculty and nursing students. The evaluation will assess the performance and user experience, including human-robot teaming, using efficiency, workload and interface effort metrics. It will also evaluate the social impacts of the proposed human-robot interface on the acceptance and adoption of nursing robots by the current and future nursing workforce. This proposal was funded with the National Institute for Occupational Safety and Health (NIOSH) in the Center for Disease Control and Prevention (CDC).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": "611", "attributes": { "award_id": "2027190", "title": "Collaborative Research: NSFGEO-NERC:Conjugate Experiment to Investigate Sources of High-Latitude Magnetic Perturbations in Coupled Solar Wind-Magnetosphere-Ionosphere-Ground System", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)" ], "program_reference_codes": [], "program_officials": [ { "id": 1355, "first_name": "Lisa", "last_name": "Winter", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-10-01", "end_date": "2024-09-30", "award_amount": 238875, "principal_investigator": { "id": 1356, "first_name": "James M", "last_name": "Weygand", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 151, "ror": "", "name": "University of California-Los Angeles", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 151, "ror": "", "name": "University of California-Los Angeles", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "This is a project that is jointly funded by the National Science Foundation’s Directorate of Geosciences (NSF/GEO) and the National Environment Research Council (UKRI/NERC) of the United Kingdom (UK) via the NSF/GEO-NERC Lead Agency Agreement. This Agreement allows a single joint US/UK proposal to be submitted and peer-reviewed by the Agency whose investigator has the largest proportion of the budget. Upon successful joint determination of an award, each Agency funds the proportion of the budget and the investigators associated with its own investigators and component of the work. This project is to (1) operate, maintain, and expand a high-latitude array of autonomous instruments to support research of the wider geospace research community into the sources of inter-hemispheric asymmetries, (2) conduct focused science investigations to develop understanding of the sources of high-latitude magnetic perturbations in the multi-scale, global, solar wind - magnetosphere – ionosphere – ground (SWMIG) system, including during the 2021 solar eclipse and (3) conduct education and outreach to facilitate broader access to polar research efforts. These objectives will be achieved through an unsurpassed network of closely-spaced magnetically-conjugate magnetometers in Antarctica and in the Northern Hemisphere near the 40 degree magnetic meridian, most of which have already been deployed. This project expands an existing Virginia Tech/Technical University of Denmark partnership to include the British Antarctic Survey (BAS), Space Science Institute, and UCLA. Graduate and undergraduate students will be supported, including a special research program to engage students from minority-serving institutions.Measurements of surface magnetic field perturbations are important to remotely sense and characterize the SWMIG phenomena that affect technology – such as geomagnetically induced currents – and thereby to develop physical models and forecast space weather impacts. However, understanding the sources of magnetic perturbations in the coupled SWMIG system is challenging due to their simultaneous dependence on driving conditions, ionospheric conductivity and ground conductivity. We seek to address the following science questions, \"How do magnetosphere-ionosphere current systems couple to high-latitude ground magnetic perturbations? What roles do current system spatial scale, inhomogeneous ionospheric conductivity, and inhomogeneous ground conductivity play?\" By combining British Antarctic Survey, Technical University of Denmark, and NSF-supported magnetometers, a new combined array will provide unprecedented coverage throughout the auroral zone/cusp in both hemispheres simultaneously. These data enable novel experiments to isolate the respective contributions of driver spatial/temporal scale, ionospheric conductivity, and local ground conductivity in the generation of ground magnetic perturbations. This project includes field work in the Antarctic, supported by both the U.S. Antarctic Program (USAP) and the BAS. USAP and BAS have agreed to support maintenance visits to receiver site locations and to support the retrograde of equipment at the end of the program. BAS and USAP will work collaboratively to deploy an additional instrument to a logistically feasible location that best serves the project. The USAP and BAS have agreed to support this program logistically, with the first field deployment year to be determined after the uncertainties related to the coronavirus pandemic are resolved.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": "610", "attributes": { "award_id": "2005052", "title": "A Contextual Examination of Ethnic-Racial Identity and Critical Consciousness among Diverse College Students", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)" ], "program_reference_codes": [], "program_officials": [ { "id": 1351, "first_name": "Josie Welkom", "last_name": "Miranda", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-09-01", "end_date": "2022-06-30", "award_amount": 129000, "principal_investigator": { "id": 1354, "first_name": "Ursula E", "last_name": "Moffitt", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 326, "ror": "", "name": "Moffitt, Ursula E", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 1352, "first_name": "Margarita", "last_name": "Azmitia", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 1353, "first_name": "Leoandra O", "last_name": "Rogers", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 326, "ror": "", "name": "Moffitt, Ursula E", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "This award was provided as part of NSF's Social, Behavioral and Economic Sciences Postdoctoral Research Fellowships (SPRF) program. The goal of the SPRF program is to prepare promising, early career doctoral-level scientists for scientific careers in academia, industry or private sector, and government. SPRF awards involve two years of training under the sponsorship of established scientists and encourage Postdoctoral Fellows to perform independent research. NSF seeks to promote the participation of scientists from all segments of the scientific community, including those from underrepresented groups, in its research programs and activities; the postdoctoral period is considered to be an important level of professional development in attaining this goal. Each Postdoctoral Fellow must address important scientific questions that advance their respective disciplinary fields. Under the sponsorship of Dr. Leoandra Onnie Rogers at Northwestern and Dr. Margarita Azmitia at University of California Santa Cruz, this postdoctoral fellowship award supports an early career scientist examining the role of the sociopolitical context in the development of ethnic-racial identity and critical consciousness among college-going young adults. The current sociopolitical climate is fraught and can be psychologically taxing for everyone, though its implications are more dire for some individuals than others. Since 2016, the number of reported hate crimes has risen sharply (FBI, 2018). On university campuses, violence against marginalized groups has also increased (Watt, Costa, & Quiason, 2018). In the wake of the coronavirus pandemic, racism against Asian Americans has spiked (Coates, 2020) and Black, indigenous, and other minoritized individuals are getting sick and dying at disproportionate rates (Dyer, 2020). A better understanding is needed of how young adults from diverse ethnic-racial and political backgrounds alternately endorse, accept, or resist such events in both the local and national contexts. How are their responses situated within their sense of identity and their views on the world? If young people engage with sociopolitical events online or in person, what does this look like and what meaning do they draw from it? This project investigates these questions, linking the micro-level of daily life with the macro-level of the sociopolitical climate, examining the development of college-going young adults’ identities, beliefs, and behaviors in context.This project focuses specifically on critical consciousness (CC), a construct originally developed by Paolo Freire (1970), which includes an awareness of and resistance to societal inequity. Both CC and clarity about one’s ethnic-racial identity (ERI) can buffer the negative effects of discrimination (Diemer, Rapa, Park, & Perry, 2016; Yip, Wang, Mootoo, & Mirpuri, 2019) and link to myriad positive outcomes, including academic achievement and wellbeing (El-Amin et al., 2017; Rivas‐Drake et al., 2014). ERI and CC have rarely been investigated in tandem, however, and their development remains understudied among college students (Mathews et al., 2019). This project addresses this empirical gap using a longitudinal, mixed-methods approach, with data collection occurring at four time points across the 2020-2021 academic year. Survey data will be analyzed using person-centered longitudinal transition analysis (LTA), first creating clusters based on responses to ERI and CC measures, then examining who is likely to be in which cluster, who changes, and how these changes relate to additional variables such as political conservatism and sense of belonging. Additionally, open-response prompts will be gathered for ten day periods, asking participants to describe their engagement with and make meaning about real-time events. Responses will be analyzed using narrative methods, illuminating within- and between-person differences. This mix of methods and analyses allows for a rich investigation of ERI and CC development in context, advancing theory and promoting equity-oriented outcomes among young people with diverse identities and experiences.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": "609", "attributes": { "award_id": "2016849", "title": "Automated Collaboration Assessment Using Behavioral Analytics", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)" ], "program_reference_codes": [], "program_officials": [ { "id": 1348, "first_name": "Tatiana", "last_name": "Korelsky", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-10-01", "end_date": "2023-09-30", "award_amount": 749976, "principal_investigator": { "id": 1350, "first_name": "Nonye M", "last_name": "Alozie", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 325, "ror": "https://ror.org/05s570m15", "name": "SRI International", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 1349, "first_name": "Anirudh", "last_name": "Som", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 325, "ror": "https://ror.org/05s570m15", "name": "SRI International", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The Automated Collaboration Assessment Using Behavioral Analytics project willmeasure and support collaboration as students engage in STEM learning activities.Collaboration promotes clarifications of misconceptions and deeper understanding of conceptsin STEM which prepares students for future employment in STEM and beyond. This projectaligns with the goal of the Cyberlearning for Work at the Human-Technology Frontier program tofund exploratory research that supports learners in working productively in technology-richSTEM environments. Collaboration is an important learning skill in K-12 STEM education, yet teachers have fewconsistent ways to measure and support students’ development in this area. This project willresult in both an improved understanding of productive collaboration and a prototypeinstructional tool that can help teachers identify nonverbal behaviors and assess overallcollaboration and engagement quality. Using nonverbal behaviors to assess engagement willdecrease dependence on discourse and content-based dialogue and increase the transferabilityof this work into different domains. This project is particularly timely as the ability to collaborateand engage in group work are growing requirements in professional and learning settings; at thesame time the very act of collaboration is being disrupted by the Coronavirus pandemic andthere is a high likelihood that much of this “new normal” (social distancing; combining in-personand remote collaboration) will be with us for some time. This project will meet the urgent needcurrently felt by educators and educational institutions to support the development ofcollaboration skills among students, even as the very act of collaboration is shifting and nontraditionalforms of education are taking hold.This project is a collaboration between the Center for Education Research andInnovation (CERI) and Center for Vision Technology (CVT) at SRI International (SRI) and willcapture multiple students’ actions as they work collaboratively face-to-face, both in-person andthrough a virtual platform. This project will use a collaboration conceptualmodel, multistage predictive and explainable machine learning models, and video analytics toassess and report on collaborative behaviors and interactions. The behavior analytics systemwill use facial expressions, body movements, and meta-information about the collaboration taskto identify interactions that show how students contribute to the collaboration, individually andcollectively. This 2-year project will use reliability and model prediction testing and sequential,correlation, and thematic analyses of video recordings, surveys, interviews, and student artifactsto answer the following research questions: Can machine learning models reliably assesscollaboration when compared to human assessments? How do individual behaviors duringcollaboration lead and relate to group level interactions and collaboration quality? and Can wevalidate and relate the assessed collaboration behaviors to student outcomes as represented bygroup-generated artifacts? The intellectual merits include contributions to the advancement oftwo fields: (1) machine learning— by developing and exploring new algorithms that generateexplainable collaboration skill assessments and teacher/student dashboards at different grainsizes of the interactions, and (2) learning sciences—by contributing a collaboration conceptualmodel that shows how specific skills, interactions, and behaviors correspond to collaborationquality at group and individual levels. Broader impacts of this work include increasing theavailability and types of feedback presented to instructors and learners from diversebackgrounds. This will expand the settings and number of individuals who can be evaluated andsupported on collaboration by making collaborative learning easier to monitor through tools thatcan be used by a wide audience of educators and professionals.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": "608", "attributes": { "award_id": "2013230", "title": "Using Virtual Reality Mathematics and Science Simulations to Prepare Elementary Teachers to Create Successful Learning Experiences for Students in High-Need Urban Schools", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Education and Human Resources (EHR)" ], "program_reference_codes": [], "program_officials": [ { "id": 1345, "first_name": "Kathleen", "last_name": "Bergin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-10-01", "end_date": "2023-09-30", "award_amount": 586111, "principal_investigator": { "id": 1347, "first_name": "Cheryl L", "last_name": "Ney", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 324, "ror": "", "name": "California State L A University Auxiliary Services Inc.", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 1346, "first_name": "Kimberly", "last_name": "Persiani", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 324, "ror": "", "name": "California State L A University Auxiliary Services Inc.", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "This project aims to serve the national interest of improving teaching and learning of mathematics and science. Specifically, it will investigate the use of mixed reality classroom simulations in the preparation of K-8 teachers in urban schools. Mixed-reality virtual simulations combine real people and physical environments with virtual people and places. Pilots spend long hours using virtual simulators before flying a plane carrying real passengers. It is now possible to provide K-8 pre-service teachers with opportunities to virtually practice teaching strategies that can enhance learning before serving students in real classrooms. California State Los Angeles University Charter College of Education faculty will modify scenario scripts and develop new ones specifically focused on science and mathematics concepts in the context of high-poverty, urban schools with large ethnically diverse student populations. The project, in partnership with elementary and middle schools in the Los Angeles Unified School District in East Los Angeles and other smaller area districts, intends to investigate three research questions associated with the impact of mixed-reality virtual classroom simulations in K-8 teacher preparation. This project will modify and develop scripts using Mursion-TeachLivE software, based on work originally developed at the University of Central Florida. The project’s modified curriculum using mixed reality classroom simulation experiences integrated into several courses uses scenarios directed by faculty-developed scripts for teaching science and mathematics concepts to avatars that simulate elementary and middle school students. Through these simulations, pre-service teachers can present science and mathematics content, review content, practice behavior management skills, practice specific instructional techniques such as scaffolding, or perform many other daily tasks that a teacher would experience in an in-person classroom. The overarching intent of this project is to improve pre-service teachers’ ability to teach mathematics and science in urban schools. This goal will be achieved by studying the implementation by pre-service teachers of a virtual simulated classroom. The project’s research study intends to use participants from two cohorts of elementary pre-service teachers in a credentialing program. It aims to follow each cohort through three semesters in three courses and their student teaching, a fourth course. Data to be collected consists of: 1) course assignments, including science and mathematics lesson plans and a COVID classroom management plan, completed by pre-service teachers in experimental and control groups; 2) video recordings of the experimental group enrolled in courses using the virtual classroom simulations to practice lesson delivery and classroom management; 3) midterm and final assessments of pre-service teachers teaching by faculty supervisors; 4) focus groups of both the experimental and control group pre-service teachers; 5) virtual simulated classroom scripts prepared by the College faculty; and 6) a faculty focus group. Quantitative (statistical) and qualitative (content and discourse analyses) methods will be employed for data analysis. Project success has the potential to better prepare hundreds of future K-8 teachers to provide their elementary students with learning success in mathematics and science by meeting the challenges and opportunities they will find in ethnically diverse, high-poverty, urban classrooms. The dissemination of project findings, as well as sustaining and institutionalizing the project through continued collaboration with school partners has the potential for significant and measurable future broader impacts for the targeted K-8 students, for their families, and for their communities. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.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": "607", "attributes": { "award_id": "2040186", "title": "NSF Student Participation Grant for 2020 IEEE International Conference on Green and Sustainable Computing (IEEE IGSC)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)" ], "program_reference_codes": [], "program_officials": [ { "id": 1343, "first_name": "Marilyn", "last_name": "McClure", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-09-01", "end_date": "2021-08-31", "award_amount": 10000, "principal_investigator": { "id": 1344, "first_name": "Mahdi", "last_name": "Nikdast", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 323, "ror": "https://ror.org/03k1gpj17", "name": "Colorado State University", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 323, "ror": "https://ror.org/03k1gpj17", "name": "Colorado State University", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "abstract": "This proposal is for support of participation in the 2020 International Green and Sustainable Computing Conference (IGSC). Due to the COVID pandemic, this year's conference is virtual. There will be no travel but the award allows for expanded participation. IGSC has established itself as the premier conference in this area. Green computing is a newly evolving research area that is establishing itself as an interdisciplinary research area spanning across the fields of computer science and engineering, electrical engineering and other engineering disciplines. Green computing or sustainable computing is the study and practice of using computing resources efficiently, which in turn can impact a spectrum of economic, ecological, and social objectives. Such practices include the implementation of energy-efficient central processing units and peripherals as well as reduced resource consumption. In addition, IGSC covers applications and systems that use computing and information systems to accomplish sustainability in power grid, environment, climate, agriculture, and many other social and economic applications. The conference offers researchers, industry participants, and students the forum for a growing awareness of the study and practice of using computing resources efficiently, which in turn can impact a spectrum of economic, ecological, and social objectives.The grant encourages students interested in green or sustainable architecture, networks, circuit design, software, and applications, as well as students interested in use of computing for sustainability in other areas, to find useful information on the topics of their choice. It also provides an excellent opportunity for many students nationwide to get familiar with and engage in a new research area of national importance. Students not having a paper in IGSC or otherwise without the resources that allow the opportunity to attend IGSC will be eligible for these funds.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": "606", "attributes": { "award_id": "2001078", "title": "Collaborative Research: Using molecular functionalization to tune nanoscale interfacial energy and momentum transport", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [], "program_officials": [ { "id": 1339, "first_name": "Nora", "last_name": "Savage", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-09-01", "end_date": "2023-03-31", "award_amount": 350801, "principal_investigator": { "id": 1342, "first_name": "Jarrod", "last_name": "Schiffbauer", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 322, "ror": "https://ror.org/0451s5g67", "name": "Colorado Mesa University", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 1340, "first_name": "Samuel E", "last_name": "Lohse", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 1341, "first_name": "Christopher A", "last_name": "Dieni", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 322, "ror": "https://ror.org/0451s5g67", "name": "Colorado Mesa University", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "abstract": "Engineering surfaces at the nanometer scale will play a crucial role in a wide range of future technologies, including water desalination/purification for drinking and agriculture, efficient heating/cooling, waste heat recovery, advanced energy generation and storage, as well as biomedical applications such as advanced diagnostics and therapeutics. The investigators seek demonstrate nanometer-scale and molecular-level tuning of material properties to create nano-engineered surfaces, or so-called “super-surfaces”. The project will also train diverse scientists and engineers through interdisciplinary science, technology, engineering, and math education. A pilot undergraduate nanoscience program will be created for undergraduates, including rural, first-generation, non-traditional, and Hispanic students. This will provide students, including underrepresented groups, an opportunity to research and network with faculty and students at a major research university. The goal of this project is to demonstrate a novel technique for molecular-level tuning of interfacial thermal conductance, surface charge, capillary properties, and biological interaction of solid-liquid interfaces using a model gold-alkanethiol-water system. By employing a highly synergistic, integrated experimental and theoretical approach (to design, synthesize, and then re-design microscale surfaces), the study will advance the fundamental understanding of mixed monolayer structure, dynamics, and interfacial interactions. These studies will extend to a systematic investigation of cooling rate and substrate curvature on functionalized thiol domain formation on both flat substrates and nanoparticles. By demonstrating a commercially scalable technique for tuning solid-liquid interfacial transport properties and biomolecular sensitivity of surfaces with nanometer precision, the project addresses significant applied research needs in the field. This work is anticipated to lead to the development of a new nanoscale manufacturing paradigm for the rational engineering of solid-fluid interfaces that can be applied to a broad range of functional molecules and substrates. Additionally, it will explore possible means to control interfacial transport and biological interactions with functionalized and nanostructured materials. Thus, these studies will provide considerable cross-cutting scientific and technological benefits, which will improve the overall quality of human life and health. Because the project will also establish a pilot collaborative nanoscience program including students from two primarily undergraduate institutions (Colorado Mesa University and Central Washington University), which serve large Hispanic, rural, first generation, and non-traditional student populations, with students and researchers at University of Notre Dame, this project will contribute to the diversity of the scientific workforce. Specifically, the integrated research and education design of the studies will aid in student engagement, retention, and success. Because of the COVID pandemic, the PIs at all three institutions are actively engaged in developing a plan for inter- and intra- institutional collaborative research during the pandemic, planning for increased laboratory safety and utilizing information technology solutions for communications to mitigate the disruptive effects of the pandemic on the project activities while assuring researcher safety. Lastly, through community outreach and education activities via Colorado Mesa University’s Eureka Science Museum and Maverick Innovation Center, the PIs will contribute to regional educational development and economic development through entrepreneurship.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": "605", "attributes": { "award_id": "2001079", "title": "Collaborative Research: Using molecular functionalization to tune nanoscale interfacial energy and momentum transport", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [], "program_officials": [ { "id": 1337, "first_name": "Nora", "last_name": "Savage", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-09-01", "end_date": "2022-08-31", "award_amount": 73026, "principal_investigator": { "id": 1338, "first_name": "Tengfei", "last_name": "Luo", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 171, "ror": "https://ror.org/00mkhxb43", "name": "University of Notre Dame", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 171, "ror": "https://ror.org/00mkhxb43", "name": "University of Notre Dame", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "Engineering surfaces at the nanometer scale will play a crucial role in a wide range of future technologies, including water desalination/purification for drinking and agriculture, efficient heating/cooling, waste heat recovery, advanced energy generation and storage, as well as biomedical applications such as advanced diagnostics and therapeutics. The investigators seek demonstrate nanometer-scale and molecular-level tuning of material properties to create nano-engineered surfaces, or so-called “super-surfaces”. The project will also train diverse scientists and engineers through interdisciplinary science, technology, engineering, and math education. A pilot undergraduate nanoscience program will be created for undergraduates, including rural, first-generation, non-traditional, and Hispanic students. This will provide students, including underrepresented groups, an opportunity to research and network with faculty and students at a major research university. The goal of this project is to demonstrate a novel technique for molecular-level tuning of interfacial thermal conductance, surface charge, capillary properties, and biological interaction of solid-liquid interfaces using a model gold-alkanethiol-water system. By employing a highly synergistic, integrated experimental and theoretical approach (to design, synthesize, and then re-design microscale surfaces), the study will advance the fundamental understanding of mixed monolayer structure, dynamics, and interfacial interactions. These studies will extend to a systematic investigation of cooling rate and substrate curvature on functionalized thiol domain formation on both flat substrates and nanoparticles. By demonstrating a commercially scalable technique for tuning solid-liquid interfacial transport properties and biomolecular sensitivity of surfaces with nanometer precision, the project addresses significant applied research needs in the field. This work is anticipated to lead to the development of a new nanoscale manufacturing paradigm for the rational engineering of solid-fluid interfaces that can be applied to a broad range of functional molecules and substrates. Additionally, it will explore possible means to control interfacial transport and biological interactions with functionalized and nanostructured materials. Thus, these studies will provide considerable cross-cutting scientific and technological benefits, which will improve the overall quality of human life and health. Because the project will also establish a pilot collaborative nanoscience program including students from two primarily undergraduate institutions (Colorado Mesa University and Central Washington University), which serve large Hispanic, rural, first generation, and non-traditional student populations, with students and researchers at University of Notre Dame, this project will contribute to the diversity of the scientific workforce. Specifically, the integrated research and education design of the studies will aid in student engagement, retention, and success. Because of the COVID pandemic, the PIs at all three institutions are actively engaged in developing a plan for inter- and intra- institutional collaborative research during the pandemic, planning for increased laboratory safety and utilizing information technology solutions for communications to mitigate the disruptive effects of the pandemic on the project activities while assuring researcher safety. Lastly, through community outreach and education activities via Colorado Mesa University’s Eureka Science Museum and Maverick Innovation Center, the PIs will contribute to regional educational development and economic development through entrepreneurship.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": "10082", "attributes": { "award_id": "2224307", "title": "ISS: Plasmonic Bubble Enabled Nanoparticle Deposition under Micro-Gravity", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "Nanoscale Interactions Program" ], "program_reference_codes": [], "program_officials": [ { "id": 971, "first_name": "Nora", "last_name": "Savage", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-01", "end_date": "2025-08-31", "award_amount": 726224, "principal_investigator": { "id": 1338, "first_name": "Tengfei", "last_name": "Luo", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 171, "ror": "https://ror.org/00mkhxb43", "name": "University of Notre Dame", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 171, "ror": "https://ror.org/00mkhxb43", "name": "University of Notre Dame", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "Novel technologies that are simple and cost-effective for fabricating highly sensitive biosensors may significantly benefit a wide range of important applications, such as early detection of epidemic/pandemic infectious disease, cancers, and other biological agents. A major challenge for such detection is the low concentration of the target molecules. This project will leverage the fluid flow around a thermal bubble on a surface, concentrating and depositing the target molecules in the liquid sample, to enhance their detectability. The PI will perform microgravity experiments at the International Space Station to investigate the concentration/deposition processes, which will enable the development of improved sensing techniques for disease detection, cancer diagnosis and environmental monitoring. Given the potential transformative impacts for terrestrial applications, this project is aligned with the mission of CASIS to leverage space research to benefit life on earth. This research project will also educate and train graduate and undergraduate students from under-represented groups at Notre Dame. Through this project, the PI will cultivate a future workforce for the U.S. manufacturing and healthcare industries. The PI will also outreach to the local high schools and participate in local area science events to extend the outreach of this project.\n \nThis project aims to understand the flow phenomena around a thermal bubble generated on a surface by a laser excitation. The flow pattern around the bubble can collect and eventually deposit colloidal particles in the liquid onto the surface. The overarching goal of this project is to understand the flow and deposition mechanism in order to control the deposition of suspended particles and thus enable new technologies for sensing applications. The PI will combine the microgravity experiments in the ISS and comparative terrestrial experiments complemented by multi-physics modeling to achieve this understanding. The micro-gravity environment in the ISS will provide a unique platform to unlock the fundamental mechanism of bubble nucleation, growth, and detachment. The lack of thermal convection in the ISS will allow the decoupling of the contribution of Marangoni effect from thermal convection effect to elucidate their roles in collecting colloidal particles and depositing them on the surface. This research will improve the understanding of the fundamental opto-thermal-fluidic mechanism of the thermal bubble deposition process, which will contribute to advancing the fields of nanoscale interactions, thermofluids and biosensing. This research project will also educate and train graduate and undergraduate students from under-represented groups at Notre Dame. Through this project, the PI will cultivate a future workforce for the U.S. manufacturing and healthcare industries. The PI will also outreach to the local high schools and participate in local area science events to extend the outreach of this project.\n\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 1392, "pages": 1424, "count": 14236 } } }