Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=3&sort=program_officials
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=program_officials", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=program_officials", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=4&sort=program_officials", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=2&sort=program_officials" }, "data": [ { "type": "Grant", "id": "10791", "attributes": { "award_id": "1I01HX002941-01A2", "title": "A web-based program to improve chronic illness self-management by engaging patients and informal caregivers", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": "2026-09-30", "award_amount": null, "principal_investigator": { "id": 26867, "first_name": "Ranak", "last_name": "Trivedi", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1497, "ror": "", "name": "VETERANS ADMIN PALO ALTO HEALTH CARE SYS", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Background: For the 80% of older Americans who have at least one chronic condition, sharing self- management responsibilities with caregivers (relatives or friends) predicts longevity, better health, better quality of life, and fewer hospitalizations. Caregivers often support patients in their self-management efforts. This can bring patients and caregivers closer but can also generate stress for both that can interfere with self- management. Yet, self-management programs rarely support the coping needs of patient-caregiver dyads. Significance: There are more than 5 million caregivers of Veterans; 75% of older Veterans receive some caregiver support. Caregivers incur individual financial and emotional costs even as they provide unpaid care. Having an effective self-management strategy that addresses the needs of both can improve outcomes and quality of life for millions of Veterans who suffer from chronic illnesses and their caregivers. This project addresses the priorities “Long-term care and Caregiving,” “Virtual Care/Telehealth,” and “Access to Care” and is consistent with the legislative goals of the MISSION Act. Innovation and Impact: This highly innovative proposal uses the novel concept that strengthening the interpersonal relationships between Veterans and caregivers can improve the self-management of chronic conditions. It challenges current clinical paradigms by addressing the collective stress coping needs of dyads. It is methodologically innovative because unlike many behavioral intervention trials, it assesses barriers and facilitators to plan for future implementation. Our focus on technology-enabled tools is timely given how COVID19 has transformed care delivery. This project takes advantage of the unique capabilities of the VA health system to explore questions including robust caregiver support and virtual care programs. Specific Aims: With investments from VA HSR&D, we have developed and successfully pilot tested a new theoretically-derived technology called Web-based Self-care Using Collaborative Coping EnhancEment in Diseases (web-SUCCEED). We propose to conduct a randomized clinical trial comparing web-SUCCEED to an enhanced usual care (EUC) control. We will conduct a formative evaluation guided by the Consolidated Framework of Implementation Research (CFIR) to accelerate future implementation. 1. Assess whether web-SUCCEED improves Veteran outcomes of self-management compared to EUC, 4 weeks and 6 months following randomization. 2a. Assess whether web-SUCCEED improves patient stress and quality of life. 2b. Assess whether web-SUCCEED improves caregiver stress, quality of life and caregiver burden. 2c. Examine communication, dyadic coping, mutuality, and relationship quality as mediators of primary and secondary outcomes (Aims 1, 2a, 2b). 3. Guided by CFIR, conduct a formative evaluation involving key stakeholder interviews to understand barriers and facilitators of future implementation. Methodology: We will recruit 280 cognitively intact Veterans from VA Palo Alto Health Care System who are managing at least one common chronic condition, and their caregivers. Veteran-caregiver dyads will be randomized 1:1 to web-SUCCEED or EUC. Veteran and caregiver assessments will take place at baseline, then again at 4 weeks and 6 months. The formative evaluation will be guided by CFIR and involve semi- structured interviews with clinical staff, providers, and facility leaders in Year 4. Next Steps: Our formative evaluation will set us up for implementation studies to evaluate web-SUCCEED in a wider array of clinical settings and facilities. Existing operational partnerships will facilitate wider clinical implementation and moving research into practice. Our innovative project, strong investigative team and operational partnerships will ensure a successful study that has the potential to shift clinical paradigms.", "keywords": [ "Address", "Adult", "American", "Award", "Behavior Therapy", "Behavioral", "COVID-19", "Caregiver Burden", "Caregiver support", "Caregivers", "Caring", "Chronic", "Chronic Disease", "Chronically Ill", "Clinical", "Cognitive", "Collaborations", "Communication", "Consolidated Framework for Implementation Research", "Data", "Diabetes Mellitus", "Diagnosis", "Disease", "Distress", "Emotional", "Ensure", "Equipment and supply inventories", "Face", "Family Caregiver", "Family member", "Friends", "Funding", "Gender", "Goals", "Grant", "Health", "Health Services Accessibility", "Health system", "Healthcare Systems", "Hospitalization", "Individual", "Internet", "Interpersonal Relations", "Intervention Trial", "Interview", "Investments", "Learning", "Life Style", "Long-Term Care", "Longevity", "Maintenance", "Measures", "Mediator of activation protein", "Medication Management", "Mental Depression", "Methodology", "Myocardial Ischemia", "Online Systems", "Outcome", "Pain", "Patients", "Persons", "Pilot Projects", "Practice Management", "Primary Care Physician", "Prognosis", "Provider", "Psychologist", "Quality of life", "Randomized", "Randomized Clinical Trials", "Reporting", "Resources", "Scientist", "Self Care", "Self Management", "Services", "Stress", "Stress and Coping", "Structure", "Technology", "Telephone", "Testing", "Time", "Veterans", "Visual", "Work", "acceptability and feasibility", "arm", "behavior change", "care delivery", "caregiver stress", "caregiving", "clinical implementation", "clinical practice", "coping", "cost", "design", "effectiveness evaluation", "experience", "follow-up", "formative assessment", "future implementation", "implementation study", "improved", "improved outcome", "informal caregiver", "innovation", "member", "mobile application", "novel", "peer support", "pilot test", "positive emotional state", "primary outcome", "programs", "recruit", "research to practice", "retention rate", "rural area", "secondary outcome", "self-management program", "skills", "telehealthcare", "telephone-based", "tool", "treatment as usual", "trial comparing", "usability", "user centered design", "virtual healthcare", "web site" ], "approved": true } }, { "type": "Grant", "id": "4189", "attributes": { "award_id": "1632935", "title": "BIGDATA: Collaborative Research: F: Foundations of Nonconvex Problems in BigData Science and Engineering: Models, Algorithms, and Analysis", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Big Data Science &Engineering" ], "program_reference_codes": [], "program_officials": [], "start_date": "2016-09-01", "end_date": "2020-08-31", "award_amount": 349999, "principal_investigator": { "id": 14107, "first_name": "Jack", "last_name": "Xin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 177, "ror": "", "name": "University of California-Irvine", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "In today's digital world, huge amounts of data, i.e., big data, can be found in almost every aspect of scientific research and human activity. These data need to be managed effectively for reliable prediction and inference to improve decision making. Statistical learning is an emergent scientific discipline wherein mathematical modeling, computational algorithms, and statistical analysis are jointly employed to address these challenging data management problems. Invariably, quantitative criteria need to be introduced for the overall learning process in order to gauge the quality of the solutions obtained. This research focuses on two important criteria: data fitness and sparsity representation of the underlying learning model. Potential applications of the results can be found in computational statistics, compressed sensing, imaging, machine learning, bio-informatics, portfolio selection, and decision making under uncertainty, among many areas involving big data.\n\nTill now, convex optimization has been the dominant methodology for statistical learning in which the two criteria employed are expressed by convex functions either to be optimized and/or set as constraints of the variables being sought. Recently, non-convex functions of the difference-of-convex (DC) type and the difference-of-convex algorithm (DCA) have been shown to yield superior results in many contexts and serve as the motivation for this project. The goal is to develop a solid foundation and a unified framework to address many fundamental issues in big data problems in which non-convexity and non-differentiability are present in the optimization problems to be solved. These two non-standard features in computational statistical learning are challenging and their rigorous treatment requires the fusion of expertise from different domains of mathematical sciences. Technical issues to be investigated will cover the optimality, sparsity, and statistical properties of computable solutions to the non-convex, non-smooth optimization problems arising from statistical learning and its many applications. Novel algorithms will be developed and tested first on synthetic data sets for preliminary experimentation and then on publicly available data sets for realism; comparisons will be made among different formulations of the learning problems.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10571", "attributes": { "award_id": "1U01IP001182-01", "title": "RFA-IP-22-004, Multidisciplinary Approach to Understanding Vaccine Efficacy and Transmission of Viral Respiratory Tract Infections in the Real World", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-30", "end_date": "2027-09-29", "award_amount": 2483947, "principal_investigator": { "id": 26592, "first_name": "Stacey", "last_name": "House", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 827, "ror": "", "name": "WASHINGTON UNIVERSITY", "address": "", "city": "", "state": "MO", "zip": "", "country": "United States", "approved": true }, "abstract": "– COMPONENT A Influenza and SARS-CoV-2 are major causes of morbidity and mortality and constitute the leading causes of vaccine preventable deaths in the United States. A better understanding of vaccine effectiveness for these viral pathogens is critical to drive public health decisions and interventions. We propose utilizing a multidisciplinary approach to conduct a test-negative study to determine influenza and SARS-CoV-2 vaccine effectiveness in ambulatory patients with respiratory tract infections. The team of investigators includes experts in emergency medicine, infectious disease, pediatrics, epidemiology, information technology, molecular microbiology, virology, and genetics. This team has extensive experience in automated electronic medical record alerts, high-volume subject recruitment of ambulatory patients with respiratory tract infections, rapid escalation/de-escalation of recruitment efforts to match viral circulation patterns, respiratory and blood sample processing and shipment, quality data collection and verification, and viral genomic sequencing necessary to ensure the success of this project. The proposed study will encompass the following specific aims: 1)Utilize innovative automated alerting strategies to identify and recruit a diverse population of ambulatory patients with acute respiratory illnesses; 2) Estimate influenza and SARS-CoV-2 vaccine effectiveness using a test- negative study design in the general population as well as different demographic subgroups.; 3) Explore factors that influence influenza and SARS-CoV-2 vaccine effectiveness such as co-morbidities, vaccination type and schedule, and social determinants of health; 4) Determine effect of viral vaccination status on health outcomes in ambulatory patients with influenza and SARS-CoV-2 infection; 5) Contribute biospecimens and viral genomic sequencing data to a national repository of subjects with PCR-confirmed influenza or SARS-CoV-2 infection. To accomplish these goals, we will enroll at least 1000 ambulatory patients/year with acute respiratory tract infections in the proposed study. The subject population will be identified from the emergency departments of 3 large hospitals in the St. Louis area and their associated outpatient clinics. The available patient population at these enrolling sites is diverse with respect to race, ethnicity, age, socioeconomic status, and medical care access which will enhance the generalizability of the study outcomes to the US population.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4805", "attributes": { "award_id": "1238362", "title": "2012 Rock Deformation Gordon Research Conference: Feedback Processes in Rock Deformation", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Tectonics" ], "program_reference_codes": [], "program_officials": [], "start_date": "2012-06-01", "end_date": "2013-05-31", "award_amount": 22505, "principal_investigator": { "id": 16662, "first_name": "Peter", "last_name": "Kelemen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 226, "ror": "https://ror.org/05rad4t93", "name": "Gordon Research Conferences", "address": "", "city": "", "state": "RI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 16661, "first_name": "Nancy R", "last_name": "Gray", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 226, "ror": "https://ror.org/05rad4t93", "name": "Gordon Research Conferences", "address": "", "city": "", "state": "RI", "zip": "", "country": "United States", "approved": true }, "abstract": "This project provides funding for travel and registration support to U.S. based early-career professionals and students to attend the Gordon Research Conference \" Feedback Processes in Rock Deformation\", which will be held in Andover, NH from August 19-24, 2012. The Rock Deformation conference series highlights the latest research and future trends in brittle and ductile rock mechanics, with experimental, field and theoretical contributions. The broad goals are to assess the understanding of the nature and controls on rock strength, fracture, friction, ductile deformation, and both fluid and melt flow during natural tectonic loading. This particular conference focuses on feedback mechanisms, which are very important in controlling the rates and mechanisms of rock deformation. Positive feedbacks lead to accelerating rates, and commonly to spatial focusing whereas negative feedbacks commonly cause decelerating, spatially distributed deformation and reaction. Major topics addressed at this conference include: (1) mechanisms of failure in geological materials at high confining pressure; (2) fluid-assisted slip, earthquakes and fracture; (3) reaction-driven cracking; (4) localized fluid transport (feedbacks involving chemical reaction; mechanical feedbacks); and (5) dynamic triggering of earthquakes.\n\nThis conference addresses many cutting-edge frontier research topics in tectonics, geophysics, and related fields. The conference theme has special relevance for extraction of unconventional hydrocarbon resources, implementation of enhanced geothermal systems, geological carbon capture and storage, and understanding seismic hazards. The conference would promote the participation of students, early career scientists, and researchers from underrepresented groups in the earth sciences.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4102", "attributes": { "award_id": "NNX16AK48G", "title": "ASTEROID 2008 TC3 WAS TRACKED AND STUDIED IN SPACE FOR ~19 HOURS BEFORE IT IMPACTED EARTH'S ATMOSPHERE AND SHATTERED OVER NORTHERN SUDAN ON OCTOBER 7, 2008.WE WILL CONDUCT PETROLOGIC STUDIES, OXYGEN ISOTOPE ANALYSES, AR-AR DATING, AND SPECTROSCOPIC MEASUR", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2016-05-23", "end_date": "2017-05-22", "award_amount": 0, "principal_investigator": { "id": 13774, "first_name": "CYRENA", "last_name": "GOODRICH", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "ASTEROID 2008 TC3 WAS TRACKED AND STUDIED IN SPACE FOR ~19 HOURS BEFORE IT IMPACTED EARTH'S ATMOSPHERE AND SHATTERED OVER NORTHERN SUDAN ON OCTOBER 7, 2008.WE WILL CONDUCT PETROLOGIC STUDIES, OXYGEN ISOTOPE ANALYSES, AR-AR DATING, AND SPECTROSCOPIC MEASUR", "keywords": [], "approved": true } }, { "type": "Grant", "id": "5321", "attributes": { "award_id": "0753146", "title": "Project SHARKS, directing student support strategies to increase participation and retention of economically disadvantaged scholars in the Aquarium Science Program", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "S-STEM-Schlr Sci Tech Eng&Math" ], "program_reference_codes": [], "program_officials": [], "start_date": "2008-09-01", "end_date": "2013-08-31", "award_amount": 443900, "principal_investigator": { "id": 18688, "first_name": "Bruce", "last_name": "Koike", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [ { "id": 1394, "ror": "https://ror.org/00tcvgn28", "name": "Oregon Coast Community College", "address": "", "city": "", "state": "OR", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 18686, "first_name": "Marion", "last_name": "Mann", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 18687, "first_name": "Jane", "last_name": "Hodgkins", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1394, "ror": "https://ror.org/00tcvgn28", "name": "Oregon Coast Community College", "address": "", "city": "", "state": "OR", "zip": "", "country": "United States", "approved": true }, "abstract": "This project fosters the entry of financially disadvantaged, but academically talented students into the aquatic animal care profession, and ancillary science and technology fields. Access is through the highly successful Aquarium Science Program. S-STEM funds support 19 two-year, financial need scholarships. The project is making a special effort to recruit traditionally under-represented students from urbanized areas and Title 1 schools to receive this strong scientific and technical training. Recruiting utilizes digital technology through granted access to post scholarship information on the websites of national organizations and their chapters, including the NAACP, SCANAS, and MESA. Student support strategies promote academic success and retention through individual academic advising, team building activities, and direct interaction with industry professionals.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "5113", "attributes": { "award_id": "1006919", "title": "Oklahoma Optical Initiative", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "EPSCoR Research Infrastructure" ], "program_reference_codes": [], "program_officials": [], "start_date": "2010-09-01", "end_date": "2013-08-31", "award_amount": 1176470, "principal_investigator": { "id": 18221, "first_name": "Henry", "last_name": "Neeman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 157, "ror": "", "name": "University of Oklahoma Norman Campus", "address": "", "city": "", "state": "OK", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 18219, "first_name": "Dana", "last_name": "Brunson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 18220, "first_name": "James", "last_name": "Deaton", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 157, "ror": "", "name": "University of Oklahoma Norman Campus", "address": "", "city": "", "state": "OK", "zip": "", "country": "United States", "approved": true }, "abstract": "Oklahoma Optical Initiative \n\nProposal Number:\tEPS - 1006919 \nInstitution:\tUniversity of Oklahoma Norman Campus\nProject Director:\tHenry J. Neeman\n\nThis award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). \n\nThis OK Inter-campus and Intra-campus Cyber Connectivity (RII C2) project would be led by the University of Oklahoma Norman Campus to benefit the entire state.\n\nIntellectual Merit\nThrough the Oklahoma Optical Initiative (OOI), the OK RII C2 project plans to facilitate the ability to provision a substantial number of dedicated high performance connections, both within Oklahoma and to national and international networks (e.g., Internet2, NLR). OOI would transform Oklahoma's existing research ring from routed to optical, leveraging existing infrastructure while advancing optical switching components to a new level, facilitating substantial improvement in reliability, robustness, availability and potentially bandwidth, as well as enabling the ability to provision dedicated lambdas. This initiative will leverage extant and emerging investments by OneNet and University of Oklahoma (OU). \n\nIndividual Oklahoma institutions will achieve substantial connectivity transformations, so they can take advantage of OOI. In particular: \n(a) OU's supercomputer will have its world-facing network connectivity upgraded to 10 Gbps (10X increase);\n(b) OSU (Oklahoma State University) will be upgraded to 10 Gbps intra-campus (10x increase), from its current 1 Gbps intra-campus (but 10 Gbps ring-facing); \n(c) University of Tulsa will be upgraded to 1 Gbps (5X increase), for research use only, at no upcharge; \n(d) Langston University (LU) bandwidth for High Energy Physics (HEP) projects will be increased to 10 Gbps (100X increase), at no upcharge; \n(e) Noble bandwidth will be increased to 250 Mbps (5X increase) via a fiber Indefeasible Right to Use agreement, at no upcharge; \n(f) Rural and nonmetro connectivity will be improved, via redeploying extant optical components from the research ring to OneNet's remote hubsites. \n(g) The Oklahoma Telepresence Initiative will make High Definition telepresence available to all higher education campuses in Oklahoma.\n\nOklahoma currently has an RII Track 1 on bioenergy and an RII Track 2 on ecoinformatics. The Track 1, a collaboration among Oklahoma State University, the University of Oklahoma and the Samuel Roberts Noble Foundation (Noble), isn't a large consumer of network connectivity, but Noble currently is at only 45 Mbps, expected to be inadequate for emerging needs; the Track1 also includes the Oklahoma Cyberinfrastructure Initiative (OCII), which provides CI resources to 540 users at 24 institutions (including 11 of Oklahoma's 13 public universities), mostly without usage charges. The Track 2, a collaboration among OU, OSU, the University of Kansas and Kansas State University, uses substantial data, with constant collection and transformation of NASA data made available from a web portal. \n\nOther Data-Intensive Projects include: \n(a) Oklahoma has been a longstanding leader in meteorology research, especially in real time forecasting of severe storms, including: the Center for Analysis and Prediction of Storms; the Linked Environment for Atmospheric Discovery collaboration (NSF Large Information Technology Research); development of the Advanced Regional Prediction System as an NSF Science and Technology Center and now a key developer of the Weather Research and Forecasting (WRF) model; a just-awarded NSF Petascale Applications grant for Ensemble Kalman Filtering on the NSF's Blue Waters multi-petaflops system. \n(b) For the past 6 years, Oklahoma's DOE EPSCoR has supported a High Energy Physics collaboration among OU, OSU and LU, Oklahoma's only Historically Black University. In addition, OU and LU, with two other institutions, form the NSF-funded ATLAS Southwest Tier2 Center. At OU, HEP projects are expected to consume roughly 5 Gbps starting in 2010; at LU, campus networking capability is inadequate for LU's growing computing and data responsibilities. \n(c) The OU and OSU HPC centers support dozens of research teams. \n(d) The state's Science & Technology (S&T) plan includes bioenergy, plant science, weather and weather sensors, plus other areas that are supported under OCII but not called out in this RII C2 proposal.\n\nBroader Impacts\nThe Oklahoma Networking Mentorship Program will provide networking professionals from OU and OneNet to institutions across the state (20 institutions have expressed interest), to deliver presentations on the practicalities of the networking profession and job shadowing opportunities, both physical and virtual. In addition, each of the science projects described has its own extensive education program, Oklahoma Cyber-infrastructure Initiative (OCII) has its longstanding and successful SiPE education program, and Oklahoma EPSCoR has comprehensive educational and outreach programs, links to economic development and to initiatives designed to enhance public awareness of the importance of science.\n\nK-12 students and teachers are being exposed to cutting-edge science and CI through summer technology academies, mobile science vehicles, and teacher training workshops. Undergraduate student research experiences in industry and academia are supported and talented students are being recruited into bioenergy based graduate programs. Workshops are being geared towards the education, training and integration of CI in the outreach and research components of Oklahoma's RII projects. Conferences to encourage multidisciplinary, multi-campus collaborations and to enhance faculty competitiveness in future grant submissions are being supported. An entrepreneurial workshop, a business plan competition for students along with commercialization vouchers to assess the commercial potential of researcher's inventions would foster the spirit of entrepreneurship of both students and faculty. \n\nAlong with publications, website and wiki, outcomes of this RII C2 project are proposed to be disseminated via the Oklahoma Supercomputing Symposium, which in 8 years has had over 2000 attendees from 84 academic institutions in 23 states and Puerto Rico (32 in Oklahoma and 19 in 12 other EPSCoR jurisdictions), including PhD-, masters- and bachelors-granting universities, community colleges, career techs, a high school and public school systems, as well as 79 private companies, 29 government agencies (21 in Oklahoma) and 13 non-governmental organizations.\n\nRII education outreach initiatives embrace the inclusion of underrepresented groups and women, and strengthen competitiveness and diversity through collaboration with LU (Oklahoma's HBCU) and tribal college, facilitating transition from high school to college, providing culture-attuned counseling support, and promoting enhancement programs to retain students pursuing STEM disciplines. Other initiatives promote effective communication of scientific advances to enhance public awareness of the value of science to the state legislature and the general public. Collectively, the RII investments would position Oklahoma to enhance competitiveness for mainstream NSF funding.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4793", "attributes": { "award_id": "1239849", "title": "Symposium on Design and Applications of Organic and Metal-Organic Porous Materials, Fall ACS Meeting, August 19-23, 2012, Philadelphia PA", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "SOLID STATE & MATERIALS CHEMIS" ], "program_reference_codes": [], "program_officials": [], "start_date": "2012-08-01", "end_date": "2013-07-31", "award_amount": 5000, "principal_investigator": { "id": 16628, "first_name": "Wei", "last_name": "Zhang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 172, "ror": "", "name": "University of Colorado at Boulder", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "abstract": "TECHNICAL SUMMARY\nThe Solid State and Materials Chemistry program supports the travel costs of speakers and graduates students to participate in the symposium titled \"Design and Applications of Organic and Metal-Organic Porous Materials\" that will be held at the 244th ACS meeting in Philadelphia, PA from Aug. 19-23, 2012. The ACS meeting is held twice every year, and serves as an interdisciplinary venue for members of the American Chemical Society to share information and research progress in areas of common interest. This symposium is scheduled for 2 full-day oral presentation sessions, which have been tentatively assigned the following topics, based on the organizer?s survey of the newest advances in porous materials:\nSession 1: Design and Concepts for Porous Polymers\nSession 2: Design and Concepts for Metal-Organic Frameworks (MOFs)\nSession 3: Design and Concepts for Covalent Organic Frameworks (COFs)\nSession 4: Design and Concepts for Covalent Organic Polyhedrons (COPs)\n\nNON TECHNICAL SUMMARY\nThis symposium will act as a leading vehicle for educating U.S. researchers with interests in designing/making new porous materials, but also the general scientific public about materials. The abstracts of this symposium will be made accessible via the Internet to the general public as a research and educational tool for this purpose. This symposium will also serve as an important international platform for allowing young U.S. scientists (i.e., starting professors, graduate students, and postdoctoral materials chemistry (of all forms) and engineering process.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "15995", "attributes": { "award_id": "1IK2HX003695-01A2", "title": "Improving Specialty Care Through Virtual Care Models", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2026-01-01", "end_date": "2030-12-31", "award_amount": null, "principal_investigator": { "id": 44448, "first_name": "Rebecca", "last_name": "Tisdale", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 3442, "ror": "", "name": "VETERANS ADMIN PALO ALTO HEALTH CARE SYS", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "1 Background: Specialty care deserts—the absence of specialists in geographic regions—have led to an access 2 crisis for the VA. In addition to increasing wait times and causing delays in care, these access needs drive many 3 Veterans to seek care outside VA, resulting in fragmented care, increased risks for hospitalization and hospital 4 readmission, and higher costs. In response, VA has launched the Clinical Resource Hub (CRH) program, which 5 seeks to deliver virtual care from “hub” to “spoke” sites in VA. VISN 21 has begun implementing this model in 6 cardiology at several spoke sites, but little is known about how care utilization and quality within the program. 7 Significance/Impact: This work seeks to better understand the effects of a virtual model of specialty care, in 8 this case cardiology care, on Veterans’ care access and quality. In addition, it aligns closely with several VA and 9 HSR&D priorities, chiefly access to care, virtual care/telehealth, and advancing the goals of the MISSION Act. 10 Innovation: The CRH program and the virtual care model at its core have yet to be studied in depth, and there 11 is no research in progress regarding specialty CRH despite strong interest at the national VA level in 12 understanding how specialty CRH is used and associated outcomes. Given that virtual cardiology care was very 13 limited prior to the COVID-19 pandemic, cardiology CRH is particularly novel. Hence, this project would add to 14 the limited body of research examining virtual cardiology care in the VA. In addition, the proposed work seeks to 15 evaluate this virtual care model at a time of unprecedented choice for Veterans between in-person and virtual 16 care, and limited data on how best to integrate these modalities. 17 Specific Aims: The proposed CDA will offer mentorship and training for me to pursue the following aims: 18 Aim 1. Evaluate quality of cardiology care associated with CRH implementation with administrative data. 19 I will use adjusted difference-in-difference event studies to compare cardiology quality metric achievement for 20 patients who received cardiology care via CRH versus those who received conventional VA-based cardiology care. 21 Aim 2. Assess Veteran perceptions of quality of cardiology care delivered via CRH. 22 I will interview Veterans participating in the CRH program and their caregivers regarding their experiences and 23 perceptions of quality of CRH cardiology care and elicit suggestions for key metrics to focus on for improvement. 24 Aim 3. Construct intervention to track and improve access to high-quality, equitable care through CRH. 25 Building on finding from Aims 1 and 2, I will interview clinicians and employ a facilitated deliberative process with 26 an expert advisory group to construct and pilot an intervention to improve quality. 27 Methodology: In Aim 1, I will use a difference-in-difference event study design to assess the impact of the program 28 on a battery of validated and/or guideline-based quality of cardiology care metrics. In Aim 2, guided by the Fortney 29 model of care access and quality, I will conduct semi-structured interviews of Veterans and caregivers receiving 30 care through the VISN 21 CRH program to understand their experiences with the CRH program and what outcomes 31 they recommend to include in a quality improvement intervention. In Aim 3, I will interview clinicians (Aim 3.1) and 32 conduct a facilitated deliberation process (Aim 3.2) to inform the construction of an intervention (proactive panel 33 management using a clinical dashboard tool) to track and improve quality of care and pilot the intervention. 34 Next Steps/Implementation: To continue moving this research into practice to improve health outcomes for 35 Veterans, I will extend the analysis of cardiology quality of care to compare cardiology care in the community to 36 CRH care. In addition, I will assess the effect of the intervention constructed in Aim 3 on patient outcomes and 37 clinician satisfaction via a hybrid implementation-effectiveness trial. I will continue to work with operational partners 38 to ensure cardiology CRH is improving access to high-quality cardiology care for Veterans. This project supports 39 my goal of becoming an independent VA health services researcher and leader in optimizing cardiovascular 40 disease care access, value, and equity for Veterans through virtual care innovations and implementation.", "keywords": [ "Achievement", "Address", "Area", "COVID-19 pandemic", "California", "Cardiology", "Cardiovascular Diseases", "Cardiovascular system", "Caregivers", "Caring", "Characteristics", "Cladribine", "Clinical", "Clinical Services", "Communities", "Community Health Care", "Dangerousness", "Data", "Disease", "Ensure", "Equity", "Evaluation", "Event", "Geographic Locations", "Goals", "Guidelines", "Health", "Health Services", "Health Services Accessibility", "Heart failure", "Homogeneously Staining Region", "Hospitalization", "Hospitals", "Improve Access", "Intervention", "Interview", "Medical", "Mentors", "Mentorship", "Methodology", "Methods", "Modality", "Modeling", "Morbidity - disease rate", "Nevada", "Outcome", "Pacific Islands", "Patient-Focused Outcomes", "Patients", "Perception", "Persons", "Physicians", "Policies", "Positioning Attribute", "Process", "Qualitative Methods", "Quality of Care", "Recommendation", "Research", "Research Design", "Research Personnel", "Resources", "Risk", "Rural Health", "Safety", "Site", "Specialist", "Structure", "Suggestion", "Telemedicine", "Telephone", "Testing", "Time", "Training", "Training Activity", "Veterans", "Visit", "Wait Time", "Work", "adverse outcome", "care fragmentation", "care seeking", "care utilization", "clinical implementation", "connected care", "cost", "dashboard", "design", "effectiveness/implementation trial", "experience", "follow-up", "health economics", "hospital readmission", "hospitalization rates", "implementation efforts", "implementation science", "improved", "innovation", "insight", "interest", "intervention effect", "medical specialties", "mortality", "novel", "operation", "patient subsets", "pilot test", "preference", "programs", "rapid growth", "research to practice", "response", "rural counties", "satisfaction", "sociodemographics", "southern nevada", "telehealth", "therapy design", "tool", "virtual", "virtual delivery", "virtual health care", "virtual model" ], "approved": true } }, { "type": "Grant", "id": "4031", "attributes": { "award_id": "1556931", "title": "Collaborative Research: The genetic basis, biosynthetic pathways and evolution of chemical defense in carabid beetles", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "EVOLUTIONARY GENETICS" ], "program_reference_codes": [], "program_officials": [], "start_date": "2016-07-01", "end_date": "2018-02-28", "award_amount": 284175, "principal_investigator": { "id": 13512, "first_name": "Tanya", "last_name": "Renner", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 448, "ror": "", "name": "San Diego State University Foundation", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The main goal of this project is to understand, at the molecular level, one of the most remarkable chemical defense systems found in nature - the explosive, extremely hot spray of the bombardier beetles. Insects make up much of the animal life that has evolved on Earth. Understanding why there are so many different kinds of insects and why they are so successful is fundamental to understanding how the wide diversity of life evolved. Insects are well known for producing many different chemical compounds that are required for their communication. Some chemicals help them to locate mates and food resources, others help them to organize activities within the nest or hive, and many others are used to warn off and defend against predators. This project focuses on this last aspect and is specifically testing the idea that the genes responsible for production of the hot chemical spray of the bombardier beetles are closely related to the genes responsible for producing similar chemicals in the insect's outer shell or exoskeleton. A main strength of the project is that it tackles this question by using multiple complementary approaches and by comparing eight different beetle species that are related to varying degrees. Half of these species have evolved a chemical defense system, the other half have not evolved this ability. Many college students and young scientists will receive scientific training in conjunction with the project. People of all ages are highly captivated by these beetles, particularly school age children. With the bombardier beetle as a model, the project will help develop elementary school level hands-on activities and lesson plans on topics in chemical ecology and biological chemical defense evolution that will reinforce the Next Generation Science.\n\nGround beetles and their relatives form the largest clade of organisms that use a single homologous gland system to produce no less than 19 distinct classes of chemical compounds for defense. This project will develop a detailed functional and evolutionary understanding of defensive chemistry evolution by focusing on species from the four lineages of quinone producing carabid beetles, including species commonly known as the bombardier beetles, which chemically blast their defensive quinones at extremely hot temperatures (up to 100 °C). Using a multidisciplinary approach, this project will identify genes involved in quinone production, elucidate chemical biosynthetic pathways, and describe the genetic architecture of quinone evolution. From gland-specific transcripts, candidate genes related to the production of defensive secretions will be identified and gene function will be validated experimentally by blocking gene transcription and looking at phenotypic changes in the compounds produced. The researchers will test the hypothesis that the genes up-regulated in secretory cells during quinone synthesis are closely related to those involved in quinone production in arthropod cuticle. Thus the project will empirically address the well-known, but untested, scenario of how the bombardier beetle evolved its explosive defense abilities. Ultimately, this project will explore how genetics and chemistry can interact over time and will reveal insights into the fundamental process of evolution.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 3, "pages": 1424, "count": 14236 } } }