Grant List
Represents Grant table in the DB
GET /v1/grants?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=1419&sort=program_officials", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=2&sort=program_officials", "prev": null }, "data": [ { "type": "Grant", "id": "10697", "attributes": { "award_id": "1I01RX003639-01A2", "title": "Home-Based Exercise Tele-Rehabilitation in High-Risk Veterans: Impact of COVID-19 Exposure and Socioeconomic Factors", "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": 26753, "first_name": "KRISANN K", "last_name": "OURSLER", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 26754, "first_name": "ALICE S.", "last_name": "RYAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1532, "ror": "https://ror.org/036a0e562", "name": "Baltimore VA Medical Center", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": null, "keywords": [], "approved": true } }, { "type": "Grant", "id": "2958", "attributes": { "award_id": "1920363", "title": "MRI: Acquisition of a metal additive manufacturing system for multi-disciplinary research and education", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Major Research Instrumentation" ], "program_reference_codes": [], "program_officials": [], "start_date": "2019-09-01", "end_date": "2020-08-31", "award_amount": 326960, "principal_investigator": { "id": 8993, "first_name": "Ozgur", "last_name": "Keles", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 995, "ror": "", "name": "San Jose State University Foundation", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 8989, "first_name": "Birsen", "last_name": "Sirkeci", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 8990, "first_name": "Feruza", "last_name": "Amirkulova", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 8991, "first_name": "David P", "last_name": "Yan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 8992, "first_name": "Raymond K", "last_name": "Yee", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 995, "ror": "", "name": "San Jose State University Foundation", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "This Major Research Instrumentation (MRI) award provides funding to acquire a metal additive manufacturing (AM) system for research and education. The instrumentation will enable researchers to develop new knowledge on the production of metals with high fracture and fatigue resistance, which are needed for the biomedical, defense, aerospace, and automotive industries. The instrumentation will also catalyze research advances in novel on-demand design of metamaterials for acoustic cloaking, biomedical imaging, and health monitoring. The metal AM system will enrich graduate and undergraduate education, support outreach activities at K-12 schools, and aid teacher workshops. A new virtual reality metal AM teaching module will be developed and made available for engineering students, high-school students, and the public. Research findings will also provide the basis for a new machine learning and computational mechanics class.\n \nThe requested metal AM system will provide structural information on defects and pores that can be processed at the micro- and meso-scale, providing insights into the processing limits of the SLM system. A new SPH model will be developed to understand the powder-level physics during the SLM process; thus, advancing fundamental understanding of the structure development during the SLM of hierarchical metals. Neutron diffraction will be used to reveal the processing/structure effects on the residual stresses in hierarchical SLMed metals. Mechanical behavior of the hierarchical metals will be observed via tensile and fracture toughness tests. Using this new processing-structure-property information, FEM simulations will be performed to discover the origins of hierarchical toughening mechanisms in SLMed metals.\n\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10789", "attributes": { "award_id": "1I01HX003571-01A1", "title": "Maintaining Preventive Care during Public Health Emergencies through Effective Coordination", "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": "2024-09-30", "award_amount": null, "principal_investigator": { "id": 26865, "first_name": "SYLVIA J.", "last_name": "HYSONG", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1685, "ror": "", "name": "MICHAEL E DEBAKEY VA MEDICAL CENTER", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "BACKGROUND. Screening lies at the heart of preventive care. However, COVID-19 has dramatically disrupted routine screening efforts, resulting in excess veteran mortality not directly attributable to COVID-19. Screening rates at VA during COVID have varied markedly by facility and clinical condition. This is illustrated in cancer and mental health screening; cross-facility variability exists for each, suggesting susceptibilities in the capacity and workflow of the screening and referral process. To better understand these susceptibilities and identify new practices to mitigate interrupted care, we propose a qualitative study comparing facilities that exhibited high, low, and highly variable performance (respectively) in screening rates before and during the pandemic. SIGNIFICANCE. Disruptions to preventive screening lead to excess veteran mortality. Therefore, caring for veterans’ regular primary care (PC) needs while fulfilling our Fourth Mission (emergency preparedness) requires top-notch coordination and nimble teamwork from all clinical personnel. Our study will identify the systematic strategies and coordination patterns between primary and specialty care that differentiate successful facilities from struggling ones. Our findings will help design new or adapt existing workflows and interventions for coordination, shaping how screening and preventive care is delivered during and beyond COVID-19. Our study directly addresses: a) this solicitation’s goals; b) HSR&D’s clinical priorities; c) VA’s strategic plan goals for highly reliable care; and d) ORD real-world research impact priorities. SPECIFIC AIMS. Using cancer and mental health screening rates as exemplars, we propose to (1) Compare how PACTs from VHA facilities of varying screening performance patterns (high, low, improving, plummeting, variable) during the COVID-19 pandemic coordinated (a) as a team to conduct screening services, and (b) with specialty care teams at their facility to conduct screening services; and (2) Compare team, facility, and system- based barriers, facilitators, and strategies for continuing screening services during the COVID-19 pandemic amongst PACTs from VHA facilities of varying screening performance patterns during that period. METHOD. Design and Participants. This multi-method study consists of qualitative analysis of interviews and focus groups with primary care personnel, leadership, and patients at 10 VA Medical Centers (VAMCs). Site Selection. We will select study sites using a purposive stratified approach based on site rurality, COVID-19 caseload at the beginning of the pandemic, and performance on five outpatient clinical performance indicators of cancer and mental health screening. Sites will be categorized into one of five screening performance groups: high performers, low performers, improvers, plummeters, and highly variable. Procedure. Using data from prior research by the PI, we will create process maps for each performance measure to create a baseline for comparison to the process used since the pandemic began. We will interview the ACOS for primary care at each site to update the map to reflect the currently used process. We will conduct focus groups with PC and relevant specialty care clinicians to elicit themes regarding clinician coordination patterns (e.g., handoffs), strategies, and barriers/facilitators to screening during COVID (Aims 1- 3). We will also conduct patient interviews to examine their screening experience during this period, for context. Data Analysis: All interview and focus groups will be audio-recorded, transcribed, and enhanced by field notes. We will analyze clinician focus group transcripts and field notes using iterative, rapid analysis. Patient semi- structured interviews will be analyzed using inductive/deductive content analysis. NEXT STEPS/IMPLEMENTATION. We will share our findings, including site-specific recommendations, locally with key stakeholders at participating sites, and nationally through the Office of Primary Care-Mental Health Integration program and the VA National Women Veterans Oncology System of Excellence.", "keywords": [ "Accountability", "Address", "Adopted", "American", "Behavior", "COVID-19", "COVID-19 pandemic", "Caring", "Cause of Death", "Chronic", "Clinic", "Clinical", "Colon", "Complex", "Country", "Data", "Data Analyses", "Detection", "Diagnosis", "Disease", "Disease Management", "Drops", "Early treatment", "Emergency Situation", "Ensure", "Exhibits", "Focus Groups", "Future", "Goals", "Health", "Health Personnel", "Healthcare", "Heart", "Human Resources", "Individual", "Interruption", "Intervention", "Interview", "Lead", "Leadership", "Malignant Neoplasms", "Maps", "Measures", "Medical center", "Mental Depression", "Mental Health", "Mental Health Services", "Mental disorders", "Methods", "Mission", "Modeling", "Oncology", "Outcome", "Outpatients", "Participant", "Patients", "Pattern", "Performance", "Persons", "Post-Traumatic Stress Disorders", "Predisposition", "Prevention", "Preventive care", "Preventive screening", "Preventive service", "Primary Health Care", "Procedures", "Process", "Public Health", "Quality of Care", "Readiness", "Recommendation", "Research", "Resources", "Role", "Services", "Shapes", "Site", "Specialist", "Strategic Planning", "Structure", "Symptoms", "System", "Testing", "Time", "Touch sensation", "Transcript", "Update", "Variant", "Veterans", "Woman", "Work", "base", "breast and cervical cancer screening", "coronavirus disease", "design", "exhaust", "experience", "improved", "medical specialties", "mortality", "notch protein", "pandemic disease", "prevent", "programs", "public health emergency", "routine screening", "rurality", "screening", "screening services", "telehealth", "tv watching" ], "approved": true } }, { "type": "Grant", "id": "10553", "attributes": { "award_id": "1U01IP001189-01", "title": "Component A _ Credible Effectiveness Measures of Seasonal Influenza, COVID-19 and Other Respiratory Virus Vaccines against Ambulatory Care for Acute Illness in Texas (and Component D).", "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": 2000000, "principal_investigator": { "id": 26566, "first_name": "Manjusha", "last_name": "Gaglani", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1944, "ror": "", "name": "BAYLOR RESEARCH INSTITUTE", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "COMPONENT A - PROJECT SUMMARY/ABSTRACT: Influenza (Flu) viruses are constantly evolving, requiring vaccines to be reformulated every season. New SARS- CoV-2 (SC2) variants have caused recurrent Coronavirus Infectious Disease – 2019 (COVID) surges in different regions of the United States through the winter of 2021-22. Estimating ongoing real-world Flu and COVID vaccine effectiveness (VE) against ambulatory care for acute illness (ACAI) are essential in evaluating the protection provided by nationwide vaccination programs and for monitoring the duration of protection afforded by respective vaccines each of which are high priorities for fulfilling the CDC’s mission of serving as the nation’s health protection agency. Our long-term research goal is to advance the understanding of the epidemiology and prevention of respiratory virus (RV) infections (i.e., seasonal and pandemic influenza, SC2 and Other Respiratory Viruses (ORVs) such as Respiratory Syncytial Virus [RSV]) while reducing the burden of disease and improving the health of the population. We plan to systematically evaluate the VE against ACAI associated with lab-confirmed influenza, COVID and vaccine-preventable ORVs with respective CDC recommended vaccinations in the Baylor Scott & White Health, Central Texas (BSWCTX) enrollment eligible population. The objective is to obtain reliable vaccination information and to provide accurate interim and annual estimates of VE to prevent ACAI in respective RV vaccine age-eligible population. Our central hypothesis is that timely and accurate measurement of VE and burden of illness due to vaccine preventable RVs is sustainable. The rationale is that by assessing the interim and annual VE against vaccine preventable RVs, the CDC ACIP can modify recommendations for receiving the vaccines and booster doses as well as use of appropriate antiviral agents. The specific aims are to: 1) Measure effectiveness of seasonal and pandemic Flu, COVID and vaccine-preventable ORV vaccines against ACAI for respective lab-confirmed mild to moderate infection in at least 1,000 children and adults from the 2022-23 to 2026-27 seasons. 2) Monitor ongoing Flu and SC2 viral evolution by genomic sequencing among at least 1,000 enrolled children and adults from the 2022-23 to 2026-27 seasons. 3) Perform potentially year-round SC2 surveillance during periods when Flu viruses are not circulating to measure current COVID VE against ACAI for lab-confirmed mild to moderate SC2 infection in children and adults from the 2022-23 to 2026-27 seasons. To accomplish these aims, we will estimate real-time VE in the ambulatory setting using a test-negative design, estimate burden of illness of vaccine preventable RVs in the BSWCTX burden subset, and examine factors affecting VE. The proposed research is innovative as we have adapted methods to include verified vaccinations and accurate lab diagnosis of RV infections with one or both influenza and SC2 in participants who are systematically screened for eligibility and enrolled using a well-defined ACAI case-definition in our approach, enabling us to aptly measure VE and burden of illness of influenza, COVID, and ORVs in the West South Central United States.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10513", "attributes": { "award_id": "1P01HD109907-01", "title": "Growing up in a digital world: A synergistic approach to understanding media use in children ages 1-8 years", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-09", "end_date": "2025-08-31", "award_amount": 103806, "principal_investigator": { "id": 26518, "first_name": "RACHEL F.", "last_name": "BARR", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 181, "ror": "https://ror.org/05vzafd60", "name": "Georgetown University", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true }, "abstract": "Progress in understanding the effects of media exposure on child outcomes has been limited by the lack of large and representative longitudinal datasets, the difficulty of tracking quality of content in an ever-changing media environment, and the lack of a mechanism to rapidly share and analyze results in a theoretically driven manner. The overarching goal of this P01 proposal is to examine trajectories of media use - characterizing the context, content, and problematic uses of media - in a diverse group of 1200 children aged 1 to 7 years and examining temporal associations with emotion regulation and social competence using a cohort sequential design. The admin core will collate and integrate the Comprehensive Assessment of Family Media Exposure (CAFE) Toolkit data along with emotion regulation and social competence outcome data across the three studies. The CAFE Toolkit measures household media use through a web-based questionnaire, time-use diary, and passive-sensing app installed on family mobile devices (Barr et al., 2020; Radesky et al., 2020b). The administrative core will manage the data integration of the three longitudinal studies across the entire age range (1-3, 3-5, 5-7 year olds). Data collected from new cohorts will be compared to data collected before and during the COVID pandemic by the same research groups using the same CAFE Toolkit to examine how media exposure patterns varied as a function of the pandemic and how those experiences are related to socio- emotional outcomes. The P01 will also develop methods to increase the efficiency of coding the quality of media content, a bottleneck in the field. Finally, the data will be integrated, shared, visualized, and analyzed in a shared analytic Research Hub. 1", "keywords": [ "2 year old", "3 year old", "7 year old", "Address", "Age", "Books", "COVID-19 pandemic", "Child", "Code", "Complex", "Data", "Data Analyses", "Data Analytics", "Data Set", "Databases", "Ecology", "Environment", "Family", "Goals", "Grant", "Household", "Infrastructure", "Joints", "Libraries", "Longitudinal Studies", "Measures", "Methods", "Online Systems", "Outcome", "Pattern", "Postdoctoral Fellow", "Predisposition", "Process", "Psychosocial Stress", "Questionnaires", "Reproducibility", "Research", "Research Personnel", "Sampling", "Science", "Secure", "Source Code", "Stream", "Surveys", "Toddler", "United States National Institutes of Health", "Variant", "aged", "analytical tool", "cohort", "coronavirus disease", "data cleaning", "data integration", "data management", "data repository", "data reuse", "data sharing", "data streams", "data structure", "data visualization", "design", "diaries", "digital", "emotion regulation", "experience", "handheld mobile device", "indexing", "longitudinal dataset", "machine learning model", "open data", "open source", "pandemic disease", "repository", "response", "sharing platform", "social skills", "socioeconomics", "time use", "training opportunity" ], "approved": true } }, { "type": "Grant", "id": "10537", "attributes": { "award_id": "272201700061C-P00009-9999-2", "title": "COVID-19: External Quality Assurance Program Oversight Laboratory (EQAPOL)", "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": "2022-09-30", "end_date": "2023-09-29", "award_amount": 1787600, "principal_investigator": { "id": 24151, "first_name": "THOMAS", "last_name": "DENNY", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 246, "ror": "https://ror.org/00py81415", "name": "Duke University", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 246, "ror": "https://ror.org/00py81415", "name": "Duke University", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "The mission of the Division of AIDS (DAIDS), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), is to increase basic knowledge of the pathogenesis and transmission of the human immunodeficiency virus (HIV), support the development of therapies for HIV infection and its complications, and support the development of vaccines and other prevention strategies. Reliable laboratory data are essential to the clinical evaluation of candidate HIV vaccine platforms and immunogens. Data from multiple laboratories performing assays in support of single or multiple vaccine candidate trials must be accurate and reproducible. The purpose of the External Quality Assurance Program Oversight Laboratory (EQAPOL) is to provide confidence that individual laboratories generate reliable data to support HIV vaccine immunogen advancement. EQAPOL supports these efforts by participating in the development and availability of validated assays, providing common and well-characterized reagents and Standard Operating Procedures (SOPs), and providing External Quality Assurance (EQA) programs to measure and monitor laboratory performance. This project will provide external quality assurance program support for laboratories performing immunology assays for COVID-19 Prevention Network (CoVPN)-led vaccine efficacy trials.", "keywords": [ "2019-nCoV", "Acquired Immunodeficiency Syndrome", "Antigens", "Binding", "Biological Assay", "Biometry", "COVID-19", "COVID-19 Prevention Network", "COVID-19 assay", "Data", "Development", "Flow Cytometry", "HIV", "HIV Infections", "HIV vaccine", "Immunology", "Immunology procedure", "Individual", "Knowledge", "Laboratories", "Measures", "Mission", "Monitor", "National Institute of Allergy and Infectious Disease", "Pathogenesis", "Performance", "Prevention strategy", "Procedures", "Reagent", "Reproducibility", "SARS-CoV-2 antibody", "Stains", "United States National Institutes of Health", "cytokine", "data management", "data quality", "design", "efficacy trial", "programs", "quality assurance", "reagent standard", "repository", "research clinical testing", "therapy development", "transmission process", "vaccine candidate", "vaccine development", "vaccine efficacy", "vaccine platform" ], "approved": true } }, { "type": "Grant", "id": "10633", "attributes": { "award_id": "75N93022C00052-0-9999-1", "title": "ADJUVANT COMPARISON AND CHARACTERIZATION", "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": "2022-09-01", "end_date": "2023-08-31", "award_amount": 3299681, "principal_investigator": { "id": 7241, "first_name": "BALI", "last_name": "PULENDRAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 266, "ror": "https://ror.org/00f54p054", "name": "Stanford University", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 266, "ror": "https://ror.org/00f54p054", "name": "Stanford University", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The goal of the Adjuvant Comparison and Characterization (ACC) program is to support side-by-side comparison of adjuvants in combination with clinically relevant vaccine/antigen platforms, and to establish both systemic and tissue-specific immunological profiles (“immune fingerprints”) of adjuvants that work through different mechanisms in the context of Sars-CoV-2 vaccines.", "keywords": [ "Adjuvant", "COVID-19 vaccine", "Data Analyses", "Fingerprint", "Goals", "Human", "Immune", "Immunologics", "Mus", "Organoids", "Side", "Tissues", "Tonsil", "Vaccine Antigen", "Work", "adaptive immune response", "clinically relevant", "data management", "programs" ], "approved": true } }, { "type": "Grant", "id": "3670", "attributes": { "award_id": "1700152", "title": "Increasing the Student Biotech Pipeline", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Advanced Tech Education Prog" ], "program_reference_codes": [], "program_officials": [], "start_date": "2017-05-01", "end_date": "2021-04-30", "award_amount": 199980, "principal_investigator": { "id": 11960, "first_name": "Parvaneh", "last_name": "Mohammadian", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 11959, "first_name": "Stephen T", "last_name": "Brown", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 459, "ror": "https://ror.org/01stcbz02", "name": "Los Angeles Mission College", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Los Angeles Mission College (LAMC) will prepare community college and high school students for jobs in biotechnology. The new programs developed will explicitly address skill development and offer students counseling, tutoring, industry field trips, external speakers, and internship opportunities. Combined with excellent instruction in the classroom, these activities will prepare students for entry-level, middle-skill technician positions. LAMC serves a large underrepresented student body and will provide these students with employment opportunities in a high growth sector that needs a skilled workforce. Project evaluation will focus on measuring student progression, success, retention, and degree attainment.\n\nLAMC will develop new academic pathways and curricula in biotechnology leading to stackable certificates and an Associate of Science degree. Stackable credentials will prepare students to enter the workforce in a short period of time while retaining the opportunity to pursue higher degrees at a later date. It will also allow for flexibility that will contribute to student retention and success. The project will provide high school students an opportunity to earn college credit and credentials that will ultimately assist them in obtaining employment.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "3119", "attributes": { "award_id": "1811225", "title": "RAPID: Ant community responses to a 1000-year flooding event", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "POP & COMMUNITY ECOL PROG" ], "program_reference_codes": [], "program_officials": [], "start_date": "2018-01-01", "end_date": "2019-12-31", "award_amount": 100000, "principal_investigator": { "id": 9704, "first_name": "Thomas", "last_name": "Miller", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 357, "ror": "", "name": "William Marsh Rice University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 9702, "first_name": "Scott E", "last_name": "Solomon", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 9703, "first_name": "Sarah E", "last_name": "Bengston", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 357, "ror": "", "name": "William Marsh Rice University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "Extreme weather events, such as catastrophic fires or floods, are expected to become more likely under global environmental change. Scientists have a relatively poor understanding of how such extreme events influence the abundance of plants and animals, including species that affect human well-being such as pollinators or invasive pests. Improving this scientific understanding requires that we learn from natural disasters. This project examines how extreme flooding associated with Hurricane Harvey in August 2017 affected the abundance and community composition of ants in the Big Thicket region of east Texas. This region hosts dozens of native ant species that provide valuable ecosystem services, such as decomposition and pest control, as well as noxious invasive species (fire ants and tawny crazy ants). The researchers will use \"before\" and \"after\" samples to test the hypothesis that Hurricane Harvey disrupted east Texas ant communities, favoring an increase in abundance and extent of invasive ants. The research will be conducted in coordination with the National Park Service, who hope to learn more about the ecological effects of Hurricane Harvey. The scientists will communicate their results to the public in the Texas communities of Houston and Beaumont, which were affected by fire ants and strongly affected by Harvey's floodwaters.\n\nEcological theory suggests that the relative abundance and even presence of species in communities may be driven as much by historical contingencies associated with rare events as by filtering from average environmental conditions. Forecasts for environmental change in the 21st century include an increase in frequency of extreme events, and ecologists are increasingly called upon to predict their consequences. The researchers will study how the 1,000-year flooding associated with Hurricane Harvey modified the taxonomic and functional trait composition of Big Thicket ant communities. The researchers will leverage three years of pre-event sampling to contrast the abundance, diversity, and species composition of ant communities before and after Harvey's floodwaters. Importantly, pre-event work demonstrated that exotic ant species had begun to penetrate the intact native communities. The researchers will evaluate whether Hurricane Harvey increased opportunities for invasion by exotic ants. They will conduct monthly pitfall sampling at 19 established sites to document changes in ant communities, and test whether changes in response to the hurricane are transient or represent new stable states. They will also assemble a functional trait database for these communities to test whether taxonomic shifts were driven by the filtering of species-specific traits that confer tolerance to flooding. Functional traits of interest include risk-spreading strategies such as polygyny (multiple queens per colony) and polydomy (multiple nesting locations). As the floodwaters have just now receded in the study area, there is an urgent window of opportunity to study the dynamics of ecological response and recovery.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10497", "attributes": { "award_id": "75N93022C00050-0-9999-1", "title": "CAPTURING MEDICAL MISINFORMATION IN SOCIAL MEDIA USING AN ADVANCED AI SOLUTION SET", "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": "2022-08-08", "end_date": "2023-08-07", "award_amount": 300000, "principal_investigator": { "id": 26504, "first_name": "MANOOCHEHR", "last_name": "GHIASSI", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "To develop digital tools to identify and combat malicious digital bots that spread misinformation about infectious disease treatments and vaccines, including COVID-19 vaccines.", "keywords": [ "2019-nCoV", "Basic Science", "COVID-19 vaccine", "Coronavirus", "Medical", "Misinformation", "Vaccines", "combat", "digital", "infectious disease treatment", "social media", "tool" ], "approved": true } } ], "meta": { "pagination": { "page": 1, "pages": 1419, "count": 14184 } } }