Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1383&sort=awardee_organization
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=awardee_organization", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=awardee_organization", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1384&sort=awardee_organization", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1382&sort=awardee_organization" }, "data": [ { "type": "Grant", "id": "13812", "attributes": { "award_id": "2131080", "title": "CISE-MSI: DP: CPS: Statistical and Artificial Intelligence-based Cyberattack Detection Models for Connected Vehicles", "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": [ { "id": 7542, "first_name": "Subrata", "last_name": "Acharya", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-10-15", "end_date": null, "award_amount": 499635, "principal_investigator": { "id": 30146, "first_name": "Esmail", "last_name": "Abuhdima", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 7590, "first_name": "Mashrur A", "last_name": "Chowdhury", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 30144, "first_name": "Esmail M", "last_name": "Abuhdima", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 30145, "first_name": "Sakib M", "last_name": "Khan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2349, "ror": "https://ror.org/045r9wn29", "name": "Benedict College", "address": "", "city": "", "state": "SC", "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 is also jointly funded by the CISE MSI Research Expansion Program and the Established Program to Stimulate Competitive Research (EPSCoR).<br/> <br/><br/>This research is motivated by the necessity to promote U.S. competitiveness and develop talented and skilled young professionals who have in-depth cybersecurity knowledge, focusing on connected and automated vehicles and implementing these methods using advanced computational techniques. Solving tomorrow’s cyberattacks on connected vehicles requires today’s students to learn in multidisciplinary teams about the evolving cyber threats and think broadly about detecting such attacks, which will change daily. This project’s vision is to transform programs at Benedict College using an integrated and scalable approach to produce students capable of innovating in non-traditional, interdisciplinary teams to solve the unique cybersecurity problems. It develops and evaluates detection models, focusing on cyberattacks in the in-vehicle systems and the wireless network connecting the vehicles with other vehicles, infrastructure, and services. <br/><br/>The transportation cyber-physical systems consist of mobile edges (e.g., connected vehicles), fixed edge devices, backend servers, and in-vehicle systems, which run different safety, mobility, and environmental applications. Due to the application requirements, the edge devices exchange real-time, heterogeneous data with each other and with the backend servers through different communication options. Attacks on connected vehicles applications can have a significant impact on public safety. For example, once the malware is injected, a critical safety application, such as the collision warning, can malfunction and result in catastrophic consequences. Detecting cybersecurity threats in real-time is challenging because of the dynamic behavior of such attacks, especially in a connected vehicle environment where the vehicles and pedestrians are in motion. To address these, change-point models can potentially detect anomalies in real-time. Also, data-driven artificial intelligence-based models can detect these attacks as these models are adaptable to different attack types with known and unknown patterns. The project tasks include the development and comparison of efficacies of the real-time cyberattack detection strategies, which are based on change-point and artificial intelligence models.<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": "13813", "attributes": { "award_id": "2104623", "title": "The Instrumental Revolution in Geochemistry (GEOCHEMREV)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "(SPRF-FR) SBE Postdoctoral Res" ], "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": "2021-10-15", "end_date": null, "award_amount": 138000, "principal_investigator": { "id": 30148, "first_name": "George", "last_name": "Borg", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 30147, "first_name": "Michael", "last_name": "Weisberg", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2350, "ror": "", "name": "Borg, George", "address": "", "city": "", "state": "PA", "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. Charlotte A. Abney Salomon at the Science History Institute, this postdoctoral fellowship award supports an early career scientist investigating how revolutionary change in geochemical instrumentation during the 20th century has enabled better understanding of climate change in the Anthropocene epoch. Society’s capacity to cope with this challenging new epoch of significant human-wrought influence on the Earth’s geologic development depends critically on the future development of Earth sciences. Geochemistry transformed scientific understanding of Earth processes and the planet’s history during the 20th century. The carbon cycle is central to understanding climate change, and geological processes are central to that cycle. Historiographically speaking, putting instrumentation at the center of this transformation can lead to new insights. Instrumental methods in geochemistry also helped 20th-century scientists better understand global lead pollution, plate tectonics, processes of mineral formation relevant for prospecting and mining, and the global hydrological cycle on geological timescales. All of this has become central to our understanding of the Earth, and how humans can live upon it productively and sustainably. If we want to mitigate climate change in the future, managing the carbon and hydrological cycles is crucial. Effective management will require an understanding of the nature, scope, limits and utility of our knowledge of these processes. This project will show how understanding technical change in geochemistry is vital to a fuller understanding of the dynamics of these sciences, which is in turn crucial for tackling climate change.<br/><br/>Specifically, this project engages scholarship on the history of chemistry and Earth science, the philosophy of the historical sciences, and technoscience, to answer three research questions. First, what technical changes did geochemistry undergo to become a major contributing discipline in climate change debates in the later 20th century? Second, how did the epistemic aims of geochemistry change, during this same period? Third, what correlations and causal relationships exist between the technical and epistemic changes? To address these questions, the project employs qualitative and quantitative methods to track the history and use of geochemical techniques in the US and Europe from, roughly, 1919 to the 1990s. Methods for data collection include literature reviews, archival research, hands-on examination of instruments, scientometric methods to detect trends in the aims pursued by the discipline, and logical analysis to determine how the technology supported, or failed to support, historical claims in geochemistry. This research sheds light on the kind of access geochemistry can give to the history of the environment, and what key lessons have been learned from past developments in geochemical instrumentation. The practical effects are three-fold. (1) A greater public understanding of how claims about climate change are established, in particular their dependence on technologically mediated access to the deep past. (2) Greater clarity for researchers and research funding bodies, such as the NSF, to judge the capabilities of research on the deep past and to discern future lines of enquiry and analytical development. (3) Given that the development of geochemical technology was to some extent driven by economic and political forces, the project sheds light on the relationship<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": "13814", "attributes": { "award_id": "2130542", "title": "Financial and Academic Supports for Talented Students to Promote Equitable Participation in Science, Technology, Engineering, and Mathematics", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Directorate for STEM Education (EDU)", "S-STEM-Schlr Sci Tech Eng&Math" ], "program_reference_codes": [], "program_officials": [ { "id": 1859, "first_name": "Mike", "last_name": "Ferrara", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-10-15", "end_date": null, "award_amount": 1500000, "principal_investigator": { "id": 30149, "first_name": "Kristine", "last_name": "Washburn", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 30149, "first_name": "Kristine", "last_name": "Washburn", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 30150, "first_name": "Marian N", "last_name": "Zappala", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 30151, "first_name": "Frederick D", "last_name": "Dooley", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2351, "ror": "https://ror.org/02gv8a673", "name": "Everett Community College", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true }, "abstract": "This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of academically talented, low-income students with demonstrated financial need at Everett Community College. Over its six-year duration, this project will provide scholarships to approximately 60 unique students who are pursuing an associate’s degree in biology, computer science, chemistry, engineering, environmental science, geology, mathematics and or physics. Scholars will build community through regular gatherings and will explore opportunities through project-based learning opportunities, a “transfer roundtable” seminar series, and visits to industry partners. Central to the projects efforts is a purposeful offering of faculty and staff development along with alumni, peer and faculty mentorship of scholars. The project will also design Academic Excellence Workshops (AEWs) to support student outcomes in early physics, chemistry, biology, computer science and engineering courses. Already in place to support students in mathematics courses, AEWs are 1-credit seminars where scholars will be able to gain extra additional exposure to particularly challenging topics in parallel with an associated class. <br/><br/>Each of the project components will be adapted or newly designed by a diverse team of faculty and staff to support increased retention, completion and transfer rates of talented, low-income community college STEM students. Faculty and staff will engage in professional development designed to promote collaboration and build a shared understanding of scholars’ experiences, strengths and needs. Professional development will be organized each year around a theme selected to encourage deeper consideration of how the project might promote equity through curriculum design, enhanced advising practices, and other community-building activities. This shared experience will allow participating faculty and staff to refine and strengthen key sources of academic, social and professional support. In addition, career exposure through engagement with community partners, professional development workshops and activities will give talented STEM students the skills and support necessary to succeed in a demanding curriculum and draw them into the excitement of science rooted in equitable participation for all. Courses, program elements, and support services created or modified for the purpose of this program will be carefully evaluated to assess their impact on student recruitment, learning, and either transfer to a 4-year institution or placement in the workforce. This program will further investigate how impactful an equity-infused student experience is on a student’s trajectory in STEM and life choices. This project is funded by NSF’s Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students.<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": "13816", "attributes": { "award_id": "2100014", "title": "Power of Us: Increasing Female Enrollment and Retention in Career and Technical Education Programs", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Directorate for STEM Education (EDU)", "Advanced Tech Education Prog" ], "program_reference_codes": [], "program_officials": [ { "id": 1983, "first_name": "Paul", "last_name": "Tymann", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-10-15", "end_date": null, "award_amount": 288951, "principal_investigator": { "id": 30155, "first_name": "maryah", "last_name": "smith", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 30155, "first_name": "maryah", "last_name": "smith", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2352, "ror": "https://ror.org/03fm7wh60", "name": "Durham Technical Community College", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "The low participation of women in technical fields has been a matter of concern for many years. Workforce-diversity data, from several major technology companies, show a significant underrepresentation of women in technical jobs. Industry points to the narrow pipeline of women pursuing degrees in technical fields as the primary cause of this issue. This project aims to address this issue by implementing measures to increase female enrollment and retention in Durham Technical Community College’s most male-dominated career and technical education programs of study. The average percentage of females enrolled in the targeted areas is only 13.5%, meaning that females, who represent 53% of the overall student population, are vastly underrepresented in the pursuit of such degrees. The project will use both proven and novel strategies and activities, as well as equitable and inclusive practices that other institutions can use to increase female enrollment and retention in traditionally male-dominated programs of study.<br/><br/>This project will leverage Durham Technical Community College's new makerspace to hold events and provide a place where students can gather to work, study, and socialize. Making the \"Power of Us\" brand visible in the makerspace will contribute to the College’s efforts to create a makerspace that is rooted in equity and inclusion, where all voices are welcome. This project will offer engaging, female-led, female-focused learning opportunities; provide support services that are tailored to the needs of female students; and otherwise, create an environment where female students can thrive in the targeted programs. Through its commitment to this project the College seeks to root the makerspace in the ideals of equity and inclusion, making it a welcoming space for all. This inclusive makerspace model will be one that other colleges and organizations, both inside and outside North Carolina, can utilize to create makerspaces that are welcoming to all. This project is funded by the Advanced Technological Education program that focuses on the education of technicians for the advanced-technology fields that drive the nation's economy.<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": "13823", "attributes": { "award_id": "75N93022D00016-0-759302300001-1", "title": "EARLY PHASE CLINICAL TRIAL UNITS (EPCTU): PHASE I CLINICAL TRIAL TO EVALUATE A SARS-COV-2 THERAPEUTIC", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-05-15", "end_date": "2024-03-01", "award_amount": 1800783, "principal_investigator": { "id": 30168, "first_name": "CASEY", "last_name": "LONG", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2353, "ror": "", "name": "DYNPORT VACCINE COMPANY, LLC", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "The Early Phase Clinical Trial Units provide a vehicle for investigation of new agents in the treatment and prevention of infectious diseases, and can carry out all aspects of interventional clinical trial implementation.", "keywords": [ "COVID-19 therapeutics", "Clinical Trials Unit", "Communicable Diseases", "Intervention", "Investigation", "New Agents", "Phase I Clinical Trials", "Prevention", "clinical trial implementation", "coronavirus disease", "early phase clinical trial" ], "approved": true } }, { "type": "Grant", "id": "13827", "attributes": { "award_id": "2055253", "title": "Engaging K-12 Teachers to Help Build a Cybersecurity Workforce Pipeline", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Directorate for STEM Education (EDU)", "Advanced Tech Education Prog" ], "program_reference_codes": [], "program_officials": [ { "id": 1983, "first_name": "Paul", "last_name": "Tymann", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-10-15", "end_date": null, "award_amount": 326300, "principal_investigator": { "id": 30174, "first_name": "Deanne", "last_name": "Cranford-Wesley", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 30173, "first_name": "Flora", "last_name": "Calderon-Steck", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2354, "ror": "https://ror.org/00het1s45", "name": "Forsyth Technical Community College", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "This project addresses a growing need for cybersecurity professionals in the Piedmont Triad region of North Carolina, an expanse of urban and rural communities anchored by the cities of Winston-Salem, Greensboro and High Point. The project will focus on bolstering the academic capacity required to expand the talent pipeline of cybersecurity professionals to serve business and industry needs across the 12-county region. Local middle school and high school faculty will be enrolled in a 16 credit-hour program at Forsyth Technical Community College (FTCC) that will prepare them to integrate cybersecurity principles into their classrooms. Upon program completion, the teachers will have the knowledge and skills they need to be effective teachers of dual-enrolled high school students, which will result in an increase in the number of students who are prepared and motivated to enroll in a two-year program in cybersecurity. The teachers will also be prepared to earn cybersecurity certifications that will qualify them to serve as adjunct faculty at FTCC and will increase the college’s capacity to provide post-secondary and workforce-related instruction in cybersecurity.<br/><br/>Three goals guide the project team's efforts. First is to increase the number of cybersecurity professionals in the Piedmont Triad region. Second is to increase the number and knowledge level of cybersecurity faculty at the secondary and post-secondary levels. Third is to improve the diversity of the cybersecurity workforce in the Piedmont Triad region. The project expects to see several outcomes from its efforts. One is to enable FTCC to increase awareness of cybersecurity first principles and practices. Another is to develop lasting and effective partnerships for innovative cybersecurity education. Additionally, the College envisions keeping the talent pipeline filled with well-educated, multi-skilled, work-ready graduates who will be able to help satisfy a projected national shortage of 1.8 million workers by 2022. The project will leverage options available to North Carolina educators to seamlessly link dual-enrollment opportunities for high school students with the automatic transfer of credit awarded by community colleges. Through project’s collaboration with business and industry leaders, teachers will develop deeper insights into the role of cybersecurity across academic disciplines. This project is funded by the Advanced Technological Education program that focuses on the education of technicians for the advanced-technology fields that drive the nation's economy.<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": "13828", "attributes": { "award_id": "2111065", "title": "Collaborative research: Integrating Perspective-taking and Systems Thinking for Complex Problem-Solving", "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": 1869, "first_name": "Thomas", "last_name": "Kim", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-10-15", "end_date": null, "award_amount": 220245, "principal_investigator": { "id": 30178, "first_name": "John", "last_name": "Petersen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 30175, "first_name": "John E", "last_name": "Petersen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 30176, "first_name": "Md Rumi", "last_name": "Shammin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 30177, "first_name": "Paul", "last_name": "Brehm", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2355, "ror": "https://ror.org/05ac26z88", "name": "Oberlin College", "address": "", "city": "", "state": "OH", "zip": "", "country": "United States", "approved": true }, "abstract": "This project aims to serve the national interest by using computer modeling to present multiple perspectives, helping students to improve systems thinking and complex socio-technical problem-solving. The topics with which STEM fields grapple are often not merely scientific problems; they are also at times ideologically and emotionally charged issues. Such contemporary “socio-scientific” issues affect multiple stakeholders in different ways and have real and diverse consequences, both economic and societal. Understanding and responding to these socio-scientific issues, such as genetically modified crops, vaccine development/deployment and climate change mitigation, requires that individuals not only understand scientific content and how systems work, but also how these systems look from different vantage points. The goal of this project is to develop and assess new teaching strategies to improve understanding and decision-making related to such complex social and environmental problems. This project will build on research from previous studies to develop the state-of-the-art undergraduate instruction strategies. The software, curricular tools, and case studies being designed will be used by college instructors across the United States to promote perspective-taking and problem-solving. Formally engaging students in this type of thinking is essential to the training of America’s future workforce. <br/><br/>Specifically, students will engage with a series of case studies on complex socio-scientific issues, and use the MentalModeler (www.mentalmodeler.org) software to map out the system from the perspectives of different stakeholders. We believe this approach will promote systems thinking, model-based reasoning, perspective taking, and problem-solving ability in the undergraduate classroom. We intend to test the hypothesis that integrating novel perspective taking and systems modeling across different undergraduate courses: 1) helps students overcome some of the cognitive and motivational obstacles elicited by controversial socio-scientific topics, 2) leads to a deeper and more accurate understanding of the system itself, and 3) helps learners create and support arguments regarding the effect of interventions on system-level outcomes. 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.<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": "13830", "attributes": { "award_id": "2129808", "title": "Applying Student Knowledge for Success in Cybersecurity and Data Science", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Directorate for STEM Education (EDU)", "S-STEM-Schlr Sci Tech Eng&Math" ], "program_reference_codes": [], "program_officials": [ { "id": 1983, "first_name": "Paul", "last_name": "Tymann", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-10-15", "end_date": null, "award_amount": 318925, "principal_investigator": { "id": 30183, "first_name": "Vincent", "last_name": "Wrice", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2357, "ror": "https://ror.org/00wjxpj07", "name": "Union County College", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true }, "abstract": "This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of high-achieving, low-income students with demonstrated financial need at Kean University, the New Jersey Institute of Technology, Fairleigh Dickinson University, Brookdale Community College, and Union County College. In particular, it responds to areas of national need in cybersecurity and data science by increasing the number of students graduating in Computer Science (CS) and Information Technology (IT). Moreover, the project will build regional workforce strength and contribute to the knowledge base on the role of student competence and belonging in ensuring persistence to degree attainment. Over its five-year duration, a total of 256 students will benefit, receiving scholarships to complete CS or IT degrees. Project components include scholarship support for students, undergraduate research and/or professional experience opportunities prior to graduation, and generation of new knowledge through research on economic realities for students and impact on career trajectories in cybersecurity and data science. Students in this program will be prepared to enter the scientific workforce or graduate school as competent, highly trained individuals with a background in teamwork and research. Furthermore, they will contribute to increased professional diversity in the fields of CS and IT, and serve as role models to members of their communities. <br/><br/>The students recruited for this program will participate in workshops, take advantage of cohort experiences, and interact closely with faculty who will provide i) academic advising, ii) guidance for navigating higher education and postgraduate opportunities, and iii) supervision of teamwork, research, and working professional experiences. Through undergraduate research opportunities and experiences from participation in faculty research programs and/or existing summer research and internship programs, these individual and cohort experiences will provide a basis for overall intellectual growth and promote increased student confidence, retention, and timely degree completion. These academic outcomes are in turn expected to allow students to successfully navigate common attrition points including financial hardship and professional identity development for post-graduate employment and continued education. The project's academic environment includes student-faculty advising and undergraduate research activities, using the Affinity Research Group (ARG) model and peer-mentoring. The use of teamwork, collaboration and student-motivated question and answer sessions will positively support research in the field of computer science and information technology regarding educational impact and retention, particularly for minorities, female, and first-generation students. This project is funded by NSF’s Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students.<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": "13831", "attributes": { "award_id": "2129800", "title": "Applying Student Knowledge for Success in Cybersecurity and Data Science", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Directorate for STEM Education (EDU)", "S-STEM-Schlr Sci Tech Eng&Math" ], "program_reference_codes": [], "program_officials": [ { "id": 1983, "first_name": "Paul", "last_name": "Tymann", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-10-15", "end_date": null, "award_amount": 633935, "principal_investigator": { "id": 30184, "first_name": "Michael", "last_name": "Qaissaunee", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2358, "ror": "https://ror.org/05mrhv083", "name": "Brookdale Community College", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true }, "abstract": "This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of high-achieving, low-income students with demonstrated financial need at Kean University, the New Jersey Institute of Technology, Fairleigh Dickinson University, Brookdale Community College, and Union County College. In particular, it responds to areas of national need in cybersecurity and data science by increasing the number of students graduating in Computer Science (CS) and Information Technology (IT). Moreover, the project will build regional workforce strength and contribute to the knowledge base on the role of student competence and belonging in ensuring persistence to degree attainment. Over its five-year duration, a total of 256 students will benefit, receiving scholarships to complete CS or IT degrees. Project components include scholarship support for students, undergraduate research and/or professional experience opportunities prior to graduation, and generation of new knowledge through research on economic realities for students and impact on career trajectories in cybersecurity and data science. Students in this program will be prepared to enter the scientific workforce or graduate school as competent, highly trained individuals with a background in teamwork and research. Furthermore, they will contribute to increased professional diversity in the fields of CS and IT, and serve as role models to members of their communities. <br/><br/>The students recruited for this program will participate in workshops, take advantage of cohort experiences, and interact closely with faculty who will provide i) academic advising, ii) guidance for navigating higher education and postgraduate opportunities, and iii) supervision of teamwork, research, and working professional experiences. Through undergraduate research opportunities and experiences from participation in faculty research programs and/or existing summer research and internship programs, these individual and cohort experiences will provide a basis for overall intellectual growth and promote increased student confidence, retention, and timely degree completion. These academic outcomes are in turn expected to allow students to successfully navigate common attrition points including financial hardship and professional identity development for post-graduate employment and continued education. The project's academic environment includes student-faculty advising and undergraduate research activities, using the Affinity Research Group (ARG) model and peer-mentoring. The use of teamwork, collaboration and student-motivated question and answer sessions will positively support research in the field of computer science and information technology regarding educational impact and retention, particularly for minorities, female, and first-generation students. This project is funded by NSF’s Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students.<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": "13838", "attributes": { "award_id": "2111262", "title": "Successful Engagement of Faculty: Promoting Widespread Use of Active Learning in Mathematics", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Directorate for STEM Education (EDU)", "HSI-Hispanic Serving Instituti" ], "program_reference_codes": [], "program_officials": [ { "id": 1859, "first_name": "Mike", "last_name": "Ferrara", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-10-15", "end_date": null, "award_amount": 1226725, "principal_investigator": { "id": 30195, "first_name": "Ryan", "last_name": "Kasha", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 30191, "first_name": "Ryan H", "last_name": "Kasha", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 30192, "first_name": "Keri S", "last_name": "Siler", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 30193, "first_name": "Brandon S", "last_name": "Armstrong", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 30194, "first_name": "Deborah", "last_name": "Howard", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2359, "ror": "", "name": "Valencia Community College", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true }, "abstract": "This project aims to serve the national interest by developing and studying a comprehensive faculty development program at a large enrollment community college that will work to transform how faculty approach teaching and learning in early college mathematics courses. Over the life of the project, at least 90 faculty will work in cohorts and with experienced peer mentors to integrate active learning techniques into their classes. Participants will also consider how active learning and other equitable, student-centered practices might provide support for a broader population of students. Project research and evaluation will contribute new knowledge about effective teaching practices that support student success and will examine how aspects of the project mentoring, collaborative course redesign, and year-round engagement through summer institutes and academic-year meetings contribute to widespread, faculty-led instructional change. Data on faculty mindset and practices will be aligned with student outcome measures in order to identify practices that might be adopted by other institutions nationwide. <br/><br/>The main goals of the project are to deepen community college mathematics faculty’s understanding of active learning; to support faculty using collaboration and a peer-mentoring program to create an environment encouraging risk-taking, experimentation, and resilience; and to contribute new and useful knowledge to the undergraduate mathematics education community. Valencia Community College is a federally designated Hispanic Serving Institution (HSI) that offers approximately 1,000 sections of early undergraduate mathematics each year. The institution’s large size and diverse student body provides a unique opportunity to study the project’s two central research questions: (1) To what extent does a mathematics faculty development program, consisting of a summer institute, collaborative, cohort-based course redesign, and a mentoring program influence faculty growth mindset and mitigate perceived barriers to implementation of active learning at a large, two-year Hispanic Serving Institution?; and (2) What impact do faculty knowledge, experiences and attitudes about equity have on the implementation of active learning in this setting? Major data sources include multiple validated surveys, classroom observations, interviews, classroom activity logs and student academic outcomes. Faculty adoption of active learning practices will be assessed in the context of participants’ beliefs about students’ capacity to grow as learners, taking into account past training, years of classroom experience, course modality (e.g., online or face-to-face) and potential role as a project mentor. This project is supported by the NSF HSI and IUSE:EHR programs. The HSI Program aims to enhance undergraduate STEM education, broaden participation in STEM, and build capacity at HSIs. 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.<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": 1383, "pages": 1424, "count": 14236 } } }