Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1384&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=1442&sort=awardee_organization", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1385&sort=awardee_organization", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1383&sort=awardee_organization" }, "data": [ { "type": "Grant", "id": "13709", "attributes": { "award_id": "2138142", "title": "An Artificial Intelligence Method for Auto-Compressed Sensing and Blind Deconvolution in Magnetic Resonance Imaging Data of Shoulder Muscle Metabolism", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "ASCEND - MPS" ], "program_reference_codes": [], "program_officials": [ { "id": 989, "first_name": "Swatee", "last_name": "Naik", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-10-01", "end_date": null, "award_amount": 300000, "principal_investigator": { "id": 29969, "first_name": "Talon", "last_name": "Johnson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2326, "ror": "", "name": "Johnson, Talon", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "This award is made as part of the FY 2021 Mathematical and Physical Sciences Ascending Postdoctoral Research Fellowships, MPS-Ascend Program. Talon Johnson is awarded this fellowship to conduct a program of research and education in the mathematical sciences, including applications to other disciplines, at University of Texas Southwestern Medical Center under the mentorship of the sponsoring scientists Jimin Ren and Anke Henning. This is a research project aimed at development of computational image reconstruction methods for Magnetic Resonance Imaging (MRI). Johnson plans to design compressed sensing methods that are capable of reconstructing image data from MRI measurements that have been affected by the subject's motion, such as respiratory-related motion in MRI imaging of shoulder muscle metabolism. Along with this research, Johnson will be involved in activities to broaden participation of underrepresented minorities in mathematical sciences through the recruitment of students from the University of Texas at Arlington and a collaboration with the Atlanta University Center Data Science Initiative.<br/><br/>This research is aimed at improving image precision and quality by completing three research objectives: 1) Develop and refine the methodology for reconstruction of compressed sensing data for blurred MRI imaging using l1-l2 minimization scheme, based on l1-magic for compressed sensing and l2 minimization for deconvolution of a fixed kernel function, 2) develop an AI method for auto-recognition of any unknown kernel functions from blurred compressed MRI data sets to achieve simultaneous compressed sensing - blind deblurring of any simulated MRI data, 3) refine the AI method for auto-compressed sensing and blind deblurring of experimental data in MRI imaging of shoulder muscle metabolism and improve imaging precision.<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": "13710", "attributes": { "award_id": "2138090", "title": "Dynamical and Computer-Assisted Methods Applied to Hamiltonian Systems", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "ASCEND - MPS" ], "program_reference_codes": [], "program_officials": [ { "id": 989, "first_name": "Swatee", "last_name": "Naik", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-10-01", "end_date": null, "award_amount": 300000, "principal_investigator": { "id": 29970, "first_name": "Wai Ting", "last_name": "Lam", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2327, "ror": "", "name": "Lam, Wai Ting", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "This award is made as part of the FY 2021 Mathematical and Physical Sciences Ascending Postdoctoral Research Fellowships, MPS-Ascend Program. Wai-Ting Lam is awarded this fellowship to conduct a program of research and education at Florida Atlantic University (FAU) in the mathematical sciences, including applications to other disciplines, under the mentorship of the sponsoring scientist J.D. Mireles-James. This is a research project aimed at the study of dynamics of some celestial mechanics models. In particular, the principal investigator (PI) will investigate a restricted four-body problem arising in modeling dynamics of a spacecraft or moonlet in a vicinity of a Jupiter Trojan asteroid. The PI will use variational methods to obtain realistic physical models for the gravitational potential of irregularly-shaped asteroids within certain families of shapes that are commonly used to model the shapes of asteroids. Along with this research, the PI will be involved in the activities to broaden participation of Underrepresented Minorities in mathematical sciences through the recruitment and retention of students at FAU, a Hispanic Serving Institution, as well as through collaboration with American Indian Science and Engineering society (Florida).<br/><br/>In this project the PI will develop advanced numerical algorithms and computer assisted proofs that will lead to a more detailed, rigorous descriptions of the dynamics in a variety of realistic settings. Resonant orbits in the vicinity of an irregularly shaped body will be investigated, and periodic and quasi-periodic orbits, hyperbolic invariant manifolds, and transverse intersections between such manifolds will be obtained via rigorous computations. Such geometric structures will be used to prove the existence of trajectories whose energy undergoes a significant change over time, thus constituting a verification of the Arnold diffusion in a concrete model.<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": "13721", "attributes": { "award_id": "2117251", "title": "MRI: Acquisition of a Liquid Chromatograph QToF Mass Spectrometer to Support Research and Training at Hofstra University", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "Major Research Instrumentation" ], "program_reference_codes": [], "program_officials": [ { "id": 7306, "first_name": "Jennifer", "last_name": "Weller", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-10-01", "end_date": null, "award_amount": 526267, "principal_investigator": { "id": 29988, "first_name": "Kara", "last_name": "Jaremko", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 29987, "first_name": "Kara L", "last_name": "Jaremko", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2328, "ror": "https://ror.org/03pm18j10", "name": "Hofstra University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "An award is made to Hofstra University to support the acquisition of a liquid chromatograph quadrupole time-of-flight mass spectrometer (LC-MS) and a nitrogen generator. The acquisition brings the first high-resolution mass spectrometer to an academic institution in Nassau County (Pop: 1.36 million). LC-MS is an important analytical technique for separating and characterizing complex mixtures of chemical and biological molecules, and has broad applications across science and engineering. The instrument will be incorporated into multiple courses in the STEM curriculum at Hofstra University, providing undergraduates with exposure to this crucially important technology. Outside the classroom, students will receive in-depth training in LC-MS through faculty-guided research across four disciplines at Hofstra and nearby Adelphi University and the State University of New York – Old Westbury. Hofstra and its partner institutions successfully recruit and train diverse student bodies through a variety of community outreach and support programs. Experience with cutting edge LC-MS instrumentation will benefit that diverse group of students when they seek employment or pursue graduate studies in STEM fields. <br/><br/>The new LC-MS will greatly enhance research capabilities in biology, biochemistry, and biotechnology. Research projects enabled by the instrument vary widely, from studying the occurrence and transformation of pollutants in environmental systems, to characterizing chemical modifications in RNA/protein complexes essential to mRNA transport. The instrument will be used to conduct proteomic analyses of protein export in polymicrobial communities and for metabolomic analyses of plant-microbe interactions of beachgrass and grapevines. It will be used to characterize newly synthesized molecules for studying fatty acid recycling and for investigating new approaches for carbon-carbon bond formation. The instrument will also be used for analyzing protein derivatization in the osteodifferentiation of stem cells and the dephosphorylation of signaling networks involved in cancer development. The results of these research efforts will be disseminated by students and faculty at scientific conferences, symposia, and in peer-reviewed publications.<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": "14539", "attributes": { "award_id": "2404023", "title": "Conference: 17th International Conference on Computability, Complexity and Randomness (CCR 2024)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "FOUNDATIONS" ], "program_reference_codes": [], "program_officials": [ { "id": 8065, "first_name": "Tomek", "last_name": "Bartoszynski", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-01-15", "end_date": null, "award_amount": 32630, "principal_investigator": { "id": 31186, "first_name": "Johanna", "last_name": "Franklin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2328, "ror": "https://ror.org/03pm18j10", "name": "Hofstra University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "This award supports the participation of early-career researchers and graduate students from the US at the 17th International Conference on Computability, Complexity and Randomness (CCR 2024), taking place March 11-15, 2024 at Nagoya University in Nagoya, Japan. The conferences in this series have as their central theme the study of randomness at the intersection of mathematics and computer science. Randomness is a natural informal notion in our lives and a formal, mathematical notion in probability theory, but here we seek to use different types of algorithms to quantify the levels of randomness that a mathematical object (such as an infinite binary string) can possess. Since the pandemic has made it far more difficult for American early-career researchers and graduate students to form international professional networks, it is extremely important for them to be able to travel, share their work, and build in-person collaborations with their colleagues abroad now.<br/><br/>The Computability, Complexity and Randomness conference series has been ongoing since 2004 and promotes research in algorithmic randomness, complexity theory, and computability theory as well as applications of algorithmic randomness to areas of mathematics such as ergodic theory and geometric measure theory and other areas of computability theory such as computable structure theory and reverse mathematics. This year, we are seeking to extend the focus of this conference and welcome researchers in related areas such as effective set theory and continuous combinatorics. It is a common venue for early-career researchers and graduate students to present their own work in contributed talks and encounter areas of research that are new to them, accelerating their professional development and enhancing their research networks. The conference website can be found at https://sites.google.com/view/ccr2024/home .<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": "13734", "attributes": { "award_id": "2123225", "title": "Inclusive Community Collaboration and Supportive Cohorts to Improve STEM Student Success", "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": "2021-10-01", "end_date": null, "award_amount": 199994, "principal_investigator": { "id": 30002, "first_name": "Shannon", "last_name": "Othus-Gault", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 30001, "first_name": "Shannon M", "last_name": "Othus-Gault", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2329, "ror": "https://ror.org/05f37kp03", "name": "Chemeketa Community College", "address": "", "city": "", "state": "OR", "zip": "", "country": "United States", "approved": true }, "abstract": "With support from the Improving Undergraduate STEM Education: Hispanic-Serving Institutions (HSI Program), this project will combine a STEM-focused faculty community of practice with student support strategies to improve the enrollment, persistence, and degree attainment of students who are underrepresented in their participation in STEM disciplines at Chemeketa College. The state of Oregon is experiencing an increased demand for qualified STEM professionals, and this project intends to meet that demand by diversifying, and hence expanding the population of students entering the STEM workforce. A combination of approaches will be used, including professional development aimed at encouraging culturally responsive teaching practices, and enhanced student support services including fostering of cohorts, awarding of scholarships, and mentoring. This combination of strategies, applied at an Hispanic-serving community college, will generate new knowledge regarding the combined impact of direct financial support, mentorship, and faculty professional development to improve student outcomes. This project is expected to lead to an increase in the number of women and persons of color successfully pursuing and attaining degrees in STEM fields.<br/><br/>The project will pilot targeted student supports and faculty professional development in order to increase the enrollment, retention, and degree attainment of students whose participation in STEM fields of study is below that of their proportional representation in the overall population. The college will collect data to identify the strategies that are most effective in improving the undergraduate STEM education experience for a diverse body of students at this Hispanic-serving community college. Mathematics faculty will participate in professional development workshops on culturally responsive teaching that will lead to numerous course redesigns. The project will establish a cohort of students that will benefit from scholarships and increased access to mentors and course-embedded tutors. Through these efforts, the college expects to identify a core set of practices that can be enacted systematically across all STEM disciplines. The HSI Program aims to enhance undergraduate STEM education, broaden participation in STEM, and build capacity at HSIs. Achieving these aims, given the diverse nature and context of the HSIs, requires innovative approaches that incentivize institutional and community transformation and promote fundamental research (i) on engaged student learning, (ii) about what it takes to diversify and increase participation in STEM effectively, and (iii) that improves our understanding of how to build institutional capacity at HSIs. Projects supported by the HSI Program will also draw from these approaches to generate new knowledge on how to achieve these aims.<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": "13735", "attributes": { "award_id": "2110684", "title": "Catalyzing Transformative Change in STEM Education through an Institute for Inclusive Pedagogy", "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": 1793, "first_name": "Kimberly", "last_name": "Tanner", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-10-01", "end_date": null, "award_amount": 699994, "principal_investigator": { "id": 30003, "first_name": "Bernadette", "last_name": "Sibuma", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2330, "ror": "https://ror.org/018r1es63", "name": "Massachusetts Bay Community College", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "This project aims to serve the national interest by implementing an institutional change to broaden participation in STEM fields. A series of three annual five-week STEM Summer Institutes at MassBay Community College will aim to make significant, lasting, and positive changes in the way faculty teach students who identify as Black, Indigenous and/or people of color (BIPOC). The project will train a total of thirty STEM faculty and staff and include fifteen high school faculty from two regional high schools in the institution’s catchment area as well. Participants will learn how to better serve BIPOC STEM students. MassBay faculty will be mentored through implementation of revised classroom practices during the academic year. This project will help to address the problem that MassBay is retaining and graduating BIPOC STEM students at lower levels compared to their counterparts. The project will seek to impact faculty through professional development at MassBay and at regional high schools, thereby contributing, over time, to an increase in the diversity of students in the STEM pipeline and workforce.<br/><br/>The goals of the project will be to (1) educate STEM faculty regarding BIPOC needs; (2) connect STEM faculty to resources to incorporate culturally inclusive pedagogy into their courses; (3) mentor those faculty; and (4) monitor faculty progress via professional, external evaluation. The method to be employed will be professional development that will emphasize culturally responsive pedagogy—pedagogy that requires faculty to understand how to incorporate multiple methods of instruction that are based on students’ life experiences and backgrounds. The project will focus on systemic institutional change in attitudes toward teaching BIPOC students that will be measured at the departmental and institutional levels, and across communities of STEM educators and/or educational researchers. As a result, over time, MassBay will recruit, support, and graduate more BIPOC students. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Institutional and Community Transformation track, the program supports efforts to transform and improve STEM education across institutions of higher education and disciplinary communities.<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": "13839", "attributes": { "award_id": "2100114", "title": "Attracting the Next Generation Cybersecurity Workforce", "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": 598712, "principal_investigator": { "id": 30196, "first_name": "Giuseppe", "last_name": "Sena", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 30196, "first_name": "Giuseppe", "last_name": "Sena", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2330, "ror": "https://ror.org/018r1es63", "name": "Massachusetts Bay Community College", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "This project will address the well-documented need for skilled Cybersecurity technicians in the MetroWest and Greater Boston regions of Massachusetts. Moreover, the project team aims to increase the racial and gender diversity of the overall Cybersecurity workforce that will satisfy those local workforce demands. A replicable and sustainable educational ecosystem will be developed that will recruit, retain, and graduate students in the Cybersecurity program at MassBay Community College. Through collaborations with regional industry and high school partners, the program will encourage high school students to pursue degrees, and careers, in Cybersecurity. Retention efforts will ensure that students majoring in Cybersecurity achieve a mastery of the knowledge and the practical skills needed to meet industry expectations. Students will be provided with mentoring, career advice and support, and internship opportunities to ensure their success and entry into the Cybersecurity workforce. <br/><br/>The educational experience provided by MassBay will be based on the development of a \"Cyber Range,\" which is an Internet-based computer network platform that provides students with hands-on experience in Cybersecurity. Exercises will be developed to give high school and college students practical experiences in Cybersecurity. These exercises will be developed in collaboration with industry partners, using their security products, to provide students with real-world experiences in Cybersecurity. The project's Cyber Range will be used to create workshop activities for high school students, develop training materials to instruct and educate students to become peer-mentors, and offer train-the trainer workshops to high school teachers and MassBay faculty. High schools, youth serving organizations, and industry partners will use the Cyber Range to host cyber competitions, hackathons, mentoring, and internships to make students aware of and motivate them to pursue degrees in Cybersecurity. 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": "13736", "attributes": { "award_id": "2100121", "title": "Increasing Diversity in the Cybersecurity Talent Pool through Cyber Camps and Competitions", "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": "2021-10-01", "end_date": null, "award_amount": 545733, "principal_investigator": { "id": 30007, "first_name": "Irvin", "last_name": "Lemus", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 30004, "first_name": "Irvin B", "last_name": "Lemus", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 30005, "first_name": "Denise", "last_name": "Moss", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 30006, "first_name": "Bijan", "last_name": "Houshiar", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2331, "ror": "https://ror.org/04sjg0283", "name": "Contra Costa Community College District", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "This project addresses the well-documented need for skilled cybersecurity technicians in the Bay Area. Unmet demand for cybersecurity professionals keeps growing in the region and projections indicate that by 2022 there will be over 180,000 jobs for the Cybersecurity/Information Communication Technology (ICT) sector in the Bay Area, many of which will go unfilled. To help meet this demand, this project aims to increase the number of high school and community college students pursuing and completing a certificate of achievement or an associate degree in ICT from a Bay Area community college. To generate and maintain interest, the project team will engage students and teachers in an innovative year-long cybersecurity competition pathway program beginning with summer Cyber Camps and continuing with year-long activities and competitions. Two goals will guide the project team's efforts. First is to use the summer cyber camps and competitions to increase student access to and learning within an ICT program of study with a Bay Area community college. Second is to address the local need for more and better prepared high school and community college teachers in ICT.<br/><br/>The Contra Costa Community College District will leverage this project to increase the number of high school and community college students pursuing post-secondary education and eventually joining the cybersecurity workforce. Community college students will serve as Student Technical Mentors, gaining experience providing problem solving and technical support to the high school and community college competition teams, reinforcing their own understanding of cybersecurity concepts, and preparing them for entry-level technician jobs in ICT/cybersecurity. The project design will be of interest to other institutions and the project's documentation and implementation guide will allow schools to adopt and adapt a cyber camp and competitions program either as a supplemental after-school-program or one that is integral with a school’s existing computer career pathways. The formative and summative evaluation of the project will make use of qualitative and quantitative data to ensure that the project remains on track and is meeting the stated goals. 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": "13738", "attributes": { "award_id": "2103383", "title": "PostDoctoral Research Fellowship", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "Workforce (MSPRF) MathSciPDFel" ], "program_reference_codes": [], "program_officials": [ { "id": 6631, "first_name": "Andrew", "last_name": "Pollington", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-10-01", "end_date": null, "award_amount": 150000, "principal_investigator": { "id": 30009, "first_name": "Cole", "last_name": "Graham", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2332, "ror": "", "name": "Graham, Cole", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "This award is made as part of the FY 2021 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist. <br/><br/>The title of the project for this fellowship to Cole Graham is \"Reaction-diffusion equations, branching processes, and stochastic conservation laws.\" The host institution for the fellowship is Brown University, and the sponsoring scientist is Govind Menon.<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": "13741", "attributes": { "award_id": "2055631", "title": "Path to Information Technology (IT) Practice: Increasing Credential Completions in IT within the Southern Tier of Virginia", "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": "2021-10-01", "end_date": null, "award_amount": 495026, "principal_investigator": { "id": 30014, "first_name": "Joan", "last_name": "Tuck", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 30012, "first_name": "Chad", "last_name": "Patton", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 30013, "first_name": "Meredith V", "last_name": "Dawson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2333, "ror": "https://ror.org/05v556078", "name": "Southside Virginia Community College", "address": "", "city": "", "state": "VA", "zip": "", "country": "United States", "approved": true }, "abstract": "It is well documented that the Information Technology (IT) workforce is chronically understaffed, and predictions show that the shortage of IT workers will reach alarming levels in a few years. The goal of this project is to increase the number of students from Southside Virginia Community College, especially those from populations currently underrepresented in the IT professions, who are ready to enter the regional IT workforce. The project will target high school students in dual enrollment programs, as well as adult learners, employing a culturally responsive model that will increase enrollments and retention. Project goals will be attained by the deployment of a program infrastructure that incorporates a comprehensive recruitment strategy, with a specific focus on students from groups traditionally underrepresented in IT careers, coupled with academic support strategies and identity-building and self-efficacy activities to ensure student success.<br/><br/>The project team will study methods to increase recruitment and attainment of success in community college IT programs, especially among students traditionally underrepresented in IT careers. Increased educational attainment is positively correlated with higher standards of living, increased wages, and overall prosperity and welfare. This project has the potential to improve the understanding and implementation of culturally responsive advising for all students, but especially for those traditionally underrepresented in IT professions. Results from this work will inform the Governor's G3 Initiative (\"Get a Skill. Get a Job. Get Ahead\") in Virginia, which is focused on getting credentialed students back to school to upskill for emerging technical careers. Providing opportunities for students, specifically those who are marginalized, will help address the gap in the IT industry by increasing the number of women and underrepresented minorities obtaining credentials. 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 } } ], "meta": { "pagination": { "page": 1384, "pages": 1442, "count": 14420 } } }