Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1391&sort=-title
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-title", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1419&sort=-title", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1392&sort=-title", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1390&sort=-title" }, "data": [ { "type": "Grant", "id": "15340", "attributes": { "award_id": "1R01DA059443-01", "title": "A Longitudinal Examination of the Social and Environmental Influences on Substance Use among Non-Prescriber/Non-Executive Healthcare Workers in the United States", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Drug Abuse (NIDA)" ], "program_reference_codes": [], "program_officials": [ { "id": 12669, "first_name": "KEVA WONTORIA", "last_name": "Collier Kidemu", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-09-15", "end_date": "2029-05-31", "award_amount": 639409, "principal_investigator": { "id": 31935, "first_name": "Gregory G.", "last_name": "Homish", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 31936, "first_name": "Rachel", "last_name": "Hoopsick", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1040, "ror": "", "name": "UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "Healthcare workers represent a large and growing segment of the US workforce, and the strain of the COVID- 19 pandemic on the healthcare system has brought to light the significant stress, trauma, and burnout that healthcare workers experience. These experiences may have lasting effects on healthcare workers’ substance use, mental health symptomatology, and suicidality, particularly among those in lower-wage occupations. These workers often have fewer supports and resources, less autonomy in the workplace (e.g., scheduling/hours worked, workload), and experience greater occupational hazards than their higher-earning counterparts yet remain highly understudied. Most of the published studies related to substance use, mental health symptomatology, and suicidality among healthcare workers have disproportionately focused on physicians and other high-wage healthcare occupations. The objective of the proposed research is to examine the social and environmental influences on the substance use, mental health symptomatology, and suicidality of non- prescriber/non-executive healthcare workers over time, with particular attention to the effects of moral injury (i.e., psychosocial and behavioral impacts of “failing to prevent or bearing witness to acts that transgress deeply held moral beliefs and expectations”) and workplace policies, programs, and practices. The rationale for the proposed research is that identification of factors beyond the individual level that confer risk or protection to healthcare workers’ substance use, mental health symptomatology, and suicidality can inform the development of more effective prevention and intervention efforts, particularly as it relates to the implementation of psychosocially safe and healthy workplace practices. Individual-level explanations for people’s risk and resilience to substance use, mental health symptomatology, and suicidality remain dominant in the scientific literature. However, we will also focus on interpersonal, organizational, community, and societal factors – and their intersections with socioeconomic positioning – that affect the health, well-being, and risk for substance use, substance-related harms, and substance use disorders among healthcare workers. This research proposes to 1) examine the effects of moral injury on changes in substance use, substance use disorders, problematic mental health symptomatology, and suicidality; 2) examine the impact of other individual, social, and environmental factors on these outcomes over time; and 3) examine the unique impacts of workplace policies, programs, and practices on the risk and resilience of healthcare workers. We will pursue these aims using an innovative approach and unique focus. The proposed research will examine a diverse sample of healthcare workers recruited via social media, including low-wage healthcare support occupations (e.g., nursing assistants, dietary aides, custodians). The proposed research is significant because the examination of factors external to the individual will identify modifiable social and environmental risk factors that are more efficient and effective intervention targets, given the broad impacts of population-level interventions.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "12684", "attributes": { "award_id": "2204171", "title": "A large-scale investigation into the foundations and development of social cognition", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "(SPRF-FR) SBE Postdoctoral Res" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28600, "first_name": "Rotem", "last_name": "Aboody", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2132, "ror": "", "name": "Aboody, Rotem", "address": "", "city": "", "state": "CT", "zip": "", "country": "United States", "approved": true }, "abstract": "This award was provided as part of NSF's Social, Behavioral and Economic Sciences (SBE) Postdoctoral Research Fellowships (SPRF) program. The goal of the SPRF program is to prepare promising, early career doctoral-level scientists for scientific careers in academia, industry or private sector, and government. SPRF awards involve two years of training under the sponsorship of established scientists and encourage Postdoctoral Fellows to perform independent research. NSF seeks to promote the participation of scientists from all segments of the scientific community, including those from underrepresented groups, in its research programs and activities; the postdoctoral period is considered to be an important level of professional development in attaining this goal. Each Postdoctoral Fellow must address important scientific questions that advance their respective disciplinary fields. Under the sponsorship of Dr. Laura Schulz at MIT and Dr. Elizabeth Bonawitz at Harvard, this postdoctoral fellowship award supports an early career scientist examining how children’s understanding of other minds develops. To share what we know, learn from others, work together, and conduct even simple conversations, we need to consider other people’s mental states—their goals, desires, knowledge, and beliefs. This social cognitive ability to figure out what other people are thinking, and reason about their mental states, matures throughout the preschool years. However, despite the importance of these capacities for teaching, learning, and basic communication, it is still not fully clear how they emerge. Instead, recent work has uncovered a puzzle: while preschoolers have an early grasp of mental states like goals, preferences and desires, they often struggle to reason about what others know or believe. To investigate how different aspects of mental state reasoning emerge, this project will leverage a computational approach to clarify the cognitive capacities required for different mental state reasoning tasks, and validate an updated mental state reasoning battery to assess the development of each capacity. The project will then leverage recent advances in large-scale online developmental science to administer this battery to a large and representative sample of children. Specifically, the NSF-funded online CRADLE infrastructure will enable the project to collect data of unprecedented richness and scale, collecting data from participants worldwide, and following participants longitudinally with ease. Through this project, the fellow will develop new tools and pipelines for online data collection, and will assess whether these new methods enable researchers to recruit more representative samples. These advances will be of broad use to the field of developmental science. By learning more about the development of human social cognition, we can better understand what makes humans such uniquely good teachers, learners, and communicators. This information can help researchers continue improving educational policy, help clinicians better assist individuals who struggle with mental state reasoning, and enable scientists to design artificial intelligences that can better interact with humans.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": "13683", "attributes": { "award_id": "2122607", "title": "A Knowledge-Based Framework for Creating and Sustaining Transformational Change for Latinx Student Success in STEM", "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": 27310, "first_name": "James A. M.", "last_name": "Alvarez", "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": 2999942, "principal_investigator": { "id": 29908, "first_name": "John", "last_name": "Wiebe", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 3889, "first_name": "Ann Q", "last_name": "Gates", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 446, "ror": "", "name": "University of Texas at El Paso", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, { "id": 13840, "first_name": "Christina M", "last_name": "Convertino", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 29906, "first_name": "Roy", "last_name": "Mathew", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 29907, "first_name": "Cigdem", "last_name": "Sirin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 446, "ror": "", "name": "University of Texas at El Paso", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "This project aims to use a diversity, equity, and inclusion lens to create systemic, transformational change at the University of Texas at El Paso to increase the number of Latinx students, in particular Latina students, who are competitive in STEM careers. To achieve the aim of increased participation in STEM fields at the national level, a cross-cutting and replicable institutional approach that considers learning outcomes, students’ experiences, internal organizational structures, and external influences will be implemented. With support from the Improving Undergraduate STEM Education: Hispanic-Serving Institutions Program (HSI Program), the project team will intentionally embed concern for diversity, equity, and inclusion in teaching and learning, professional development, and policies and procedures, seeking to shift culture across the institution. A key aspect of the project to support long term impact is capacity building for research on the interplay between STEM education and \"servingness,\" a conceptual way to understand what it means to move from simply enrolling Latinx students to actually serving them.<br/><br/>The project seeks to institutionalize the systematic use of data and the authentic engagement of key stakeholders to build sustained change through continuous improvement and to maintain, sustain, and build upon inclusive infrastructure and resources. Project personnel will identify, stratify, organize, present, and distribute data to be used for decision-making. A transformation team coordinated by the Provost’s Office will use those data to recommend, plan, and evaluate action on relevant issues. The institution plans to transform STEM undergraduate education through changes in core curricula that provide equitable opportunities to students. In a revitalization of the curriculum, working groups of faculty will develop modular materials for inclusion in the University core to increase inclusive instruction, STEM competencies, and engagement. The Center for Faculty Leadership and Development will implement a professional development series on inclusive and asset-based pedagogy. The administration will work to select, compensate, develop, and mentor future faculty leaders invested in diversity, equity, and inclusion. The Provost’s Office will work with administration and the Faculty Senate to codify policies and procedures that recognize faculty and staff efforts in inclusive teaching and learning. The project will increase publications on metrics-based planning; promote regular use of metrics and research by deans, chairs, and program directors in planning and improving interventions; enhance the ability of stakeholders to understand multiple perspectives on data through visualization; and expand shared understanding of effective practices. Changes will be institutionalized and sustained through policies and procedures that recognize and reward faculty and staff who focus on student success and servingness. 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": "7209", "attributes": { "award_id": "3R01AG061105-03S1", "title": "A knowledge map to find Alzheimer's disease drugs", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Aging (NIA)" ], "program_reference_codes": [], "program_officials": [ { "id": 21472, "first_name": "Jean", "last_name": "Yuan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2018-09-30", "end_date": "2023-05-31", "award_amount": 386555, "principal_investigator": { "id": 22998, "first_name": "OLIVIER", "last_name": "LICHTARGE", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 566, "ror": "https://ror.org/02pttbw34", "name": "Baylor College of Medicine", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 566, "ror": "https://ror.org/02pttbw34", "name": "Baylor College of Medicine", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "ABSTRACT. This Supplement extends Aims 1 and 2 of the parent grant on Alzheimer’s Disease (AD) by developing: prospective benchmarks for algorithms that predict biomarkers of disease risk (Aim 1) and new algorithms to support drug repositioning (Aim 2). Both extensions strengthen Aims 1 and 2 for AD but also have immediate applications for research on COVID-19 disease in keeping with NOT-AG-20-022. AIM 1 of the parent grant develops EA-ML, a Machine Learning (ML) pipeline to compare coding mutations in individuals with and without AD. The output is a list of genes with which to predict AD risk from their mutations. While the parent grant has multiple criteria for success, none are prospective given the vast lead-time between AD onset and symptoms. Supplemental Aim 1 adds prospective testing, using COVID-19. This is possible because the UK Biobank has begun to annotate its 50,000 public exomes with the COVID-19 status of individuals, including who had severe morbidity or mild symptoms at worst. The biobank will also add 150,000 more exomes by end 2020. Accordingly, we will apply EA-ML to the current UK biobank data to identify human genetic biomarkers that distinguish severe from mild cases and then test EA-ML predictions of COVID-19 virulence prospectively, on the exomes that are newly added to the biobank. As a further new benchmark, we will also compare EA-ML to a novel “EA-Wavelet” algorithm, also tested prospectively on COVID-19. EA- Wavelet sorts cases from controls by factoring EA over the entire network of human protein-protein interactions. The results will tell us which of EA-ML, EA-Wavelet, or combination thereof is the best at identifying critical biomarkers and clinical risk of AD, while also doing the same for COVID-19. Aim 2 of the parent grant develops drug repositioning for AD by linking target genes and drugs via knowledge maps of functional interactions. Here, we propose a complementary approach that connect genes to drugs via structural maps of binding epitopes. For this we will comprehensively map evolutionarily important sites in the structural proteome of genes that are associated with AD. The approach exploits EA theory to measure past and present evolutionary forces in fitness landscapes, and it takes into account current sequence variations to guard against any possible mutational escape from drugs that target these epitopes. The output will be surface accessible regions of proteins that can then be used for (i) computational docking of small molecules towards drug repurposing, combination therapy, and lead discovery for drug design3-5; (ii) engineering mimetic peptides or other molecules that can inhibit normal interactions6; and (iii) CRISPR engineering or peptide synthesis that create antigens for more effective vaccines7, 8. These automated mapping tools are general, and besides in SARS-CoV-2, will identify an entire new structural library of functional sites to target for AD therapy with repurposed drugs.", "keywords": [ "2019-nCoV", "Address", "Algorithms", "Alzheimer&apos", "s Disease", "Alzheimer&apos", "s disease risk", "Alzheimer&apos", "s disease therapy", "Antigens", "Benchmarking", "Binding", "Biological Markers", "COVID-19", "COVID-19 pandemic", "Calculi", "Catalysis", "Clinical", "Clustered Regularly Interspaced Short Palindromic Repeats", "Code", "Combined Modality Therapy", "Data", "Disease", "Disease Surveillance", "Docking", "Drug Targeting", "Emergency Situation", "Engineering", "Epitopes", "Evolution", "Funding", "Genes", "Genetic Code", "Genetic Markers", "Graph", "Human", "Human Genetics", "Immunotherapy", "Individual", "Infection", "Knowledge", "Lead", "Libraries", "Life", "Link", "Machine Learning", "Maps", "Measures", "Methods", "Mission", "Morbidity - disease rate", "Mutation", "Onset of illness", "Output", "Patient risk", "Peptide Synthesis", "Peptides", "Pharmaceutical Preparations", "Protein Region", "Proteins", "Proteome", "Research", "Risk", "Risk Assessment", "Site", "Solvents", "Speed", "Structure", "Surface", "Symptoms", "Testing", "Time", "Training", "Update", "Variant", "Viral Genes", "Virulence", "base", "biobank", "case control", "clinical risk", "disorder risk", "exome", "fitness", "genome-wide", "improved", "knowledge graph", "mimetics", "mortality", "novel", "novel strategies", "parent grant", "peptidomimetics", "prediction algorithm", "predictive marker", "prevent", "prospective", "prospective test", "protein function", "protein protein interaction", "protein structure", "prototype", "small molecule", "success", "support tools", "theories", "tool", "vaccine development", "web site" ], "approved": true } }, { "type": "Grant", "id": "1217", "attributes": { "award_id": "2135805", "title": "A Holistic Two-Generation Approach to Improving STEM Education Outcomes in the South Bronx", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Education and Human Resources (EHR)" ], "program_reference_codes": [], "program_officials": [ { "id": 3116, "first_name": "Michael", "last_name": "Davis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-01-01", "end_date": "2026-12-31", "award_amount": 2300000, "principal_investigator": { "id": 3121, "first_name": "Sarah L", "last_name": "Hoiland", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 550, "ror": "", "name": "CUNY Hostos Community College", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 3117, "first_name": "Biao", "last_name": "Jiang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 3118, "first_name": "Elys", "last_name": "Vasquez-Iscan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 3119, "first_name": "JungHang", "last_name": "Lee", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 3120, "first_name": "Norberto M Hernandez", "last_name": "Valdes-Portela", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 550, "ror": "", "name": "CUNY Hostos Community College", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). This project aims to serve the national interest by addressing the immediate needs of student-parents as they complete undergraduate STEM degrees. The project will support student-parents at CUNY Hostos Community College, a two-year Hispanic-Serving Institution (HSI) in the South Bronx. Student-parents comprise nearly one-third of the student body at the institution. Hostos Oasis for Parents’ Education (HOPE) is a holistic Two-Generation (2Gen) STEM summer program for college-ready parents and their children. It will provide equitable access to STEM career paths and to two-year degree completion for student-parents while providing a robust summer STEM Academy experience for their preK-8 children. HOPE will incorporate a three-dimensional (3D) holistic support model focused on three distinct areas: family, academic, and social/professional support. The project will use this support model to address the many obstacles encountered by academically proficient student-parents. These obstacles include \"time poverty\", insufficient time to devote to college, work, and family. While student-parents' motivation for college completion is strong, their role as a parent substantially increases their likelihood of leaving college without a degree. Part-time status often precludes them from existing support programs. By leveraging high quality evidence-based practices like Experiential Learning Opportunities (ELOs), and evidence-based programs, this transformative project intends to advance the understanding of whether the HOPE model can improve the quality and accessibility of STEM education for community college student-parents and their children. Project outcomes have potential to improve access to high quality STEM education for an often overlooked population. This holistic intervention is a potentially crucial mitigation strategy in the post COVID-19 landscape for a community disproportionately affected by the pandemic. The goals of the project are to: (i) make systematic improvements to undergraduate community college STEM education through ELOs in STEM and social sciences; (ii) provide high quality STEM experiences for children ages pre-K-8th grade; (iii) create an openly sourced ELO STEM Toolkit with an accompanying professional development sequence; (iv) promote diversity, equity, and inclusion by recruiting Hostos student-parents and their children who are predominantly racial/ethnic minorities with special recruitment efforts aimed at justice-impacted student parents; and (v) provide new knowledge on the effectiveness of HOPE’s 3D Model. This comprehensive and holistic 2Gen program will enroll 22 student-parents, and approximately 42 children during the first year and increase capacity each year. Approximately 450 participants over five years, including student parents, children, teachers (preK-8), college faculty, and undergraduate education students, will benefit from the HOPE Program. The effectiveness of the project will be evaluated using a mixed methods approach, leveraging both quantitative and qualitative research including pre- and post-program surveys, focus groups, and peer observation among a group of instructors and faculty. A team with expertise in program evaluation, online education, and teaching STEM to middle school students with learning differences, will provide ongoing assessment as part of our process development and evaluation. Research on the HOPE 3D model will be disseminated through a project website, conference workshops and presentations, and peer-reviewed articles. The NSF program description on Advancing Innovation and Impact in Undergraduate STEM Education at Two-year Institutions of Higher Education supports projects that advance STEM education initiatives at two-year colleges. The program description promotes innovative and evidence-based practices in undergraduate STEM education at two-year colleges. This project is supported by the NSF HSI Program and the NSF IUSE: EHR Program. The HSI Program aims to enhance undergraduate STEM education, broaden participation in STEM, and build capacity at HSIs.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": "2722", "attributes": { "award_id": "1849533", "title": "A History of the Definition and Diagnosis of Postpartum Depression as a Disease", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "STS-Sci, Tech & Society" ], "program_reference_codes": [], "program_officials": [ { "id": 8032, "first_name": "Frederick", "last_name": "Kronz", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-06-01", "end_date": "2021-05-31", "award_amount": 162619, "principal_investigator": { "id": 8033, "first_name": "Rachel", "last_name": "Moran", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 253, "ror": "https://ror.org/00v97ad02", "name": "University of North Texas", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 253, "ror": "https://ror.org/00v97ad02", "name": "University of North Texas", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "This award supports a project in the history of science that analyzes the production and proliferation of the disease concept of postpartum depression in the United States during the second half of the twentieth century. It traces the mobilization of medical, popular, and political languages of postpartum depression (depression with onset in the year following childbirth) as a means by which different groups defined the normal and abnormal postpartum. The research will engage in archival research and oral histories; the analysis of these sources will be guided by the theorization of diseases of risk, somatic citizenship, and gender, emotion and embodiment. The results of this research will be published as a book that will interest physicians, psychiatrists, and others interested in maternal mental health. Transcripts of oral histories with actors involved in the codification of postpartum depression as a distinct disease will be made available for future researchers interested in women's health activism and mental health politics. The researcher will also design a course for upper-level undergraduates focusing on gender and mental health, and she will engage in public outreach through op-eds in national newspapers and women's health publications that will translate this work to a general public. \n\nThis research project on the history of postpartum depression will take a critical perspective in considering how different actors participated in the politics of diagnosis and the search for causes and solutions within a layered political context. The primary product of this research, a monograph, will consider these questions within a broader framework of gendered risk. The project converses directly with literatures of women's health, mental health, and 20th century U.S. politics. Contributions include an examination of how maternal risk and child development literature shaped the construction of maternal mental health, a nuanced investigation of the gendered national politics of the late-20th century as they led multiple groups to accept etiologies of postpartum depression that served their own aims, and an investigation into disease construction and risk in this specifically gendered and familial disease.\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": "9465", "attributes": { "award_id": "3R03EB028026-02S1", "title": "A Highly Specific Point-of-Care Rapid Real-time Sensing Device for COVID-19", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Biomedical Imaging and Bioengineering (NIBIB)" ], "program_reference_codes": [], "program_officials": [ { "id": 22599, "first_name": "TATJANA", "last_name": "Atanasijevic", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-08-15", "end_date": "2022-05-31", "award_amount": 70380, "principal_investigator": { "id": 25179, "first_name": "Dipanjan", "last_name": "Pan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1474, "ror": "", "name": "UNIVERSITY OF MARYLAND BALT CO CAMPUS", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1474, "ror": "", "name": "UNIVERSITY OF MARYLAND BALT CO CAMPUS", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "Since the first case of COVID-19 was reported in the United States (U.S.) on January 21st, 2020, it has already been ascertained to affect >900K active cases with >50K deaths. Currently, COVID-19 is being diagnosed primarily by three techniques, i.e. reverse-transcription polymerase chain reaction (RT-PCR), gene sequencing and chest computed tomography (CT). However, limitations of sample collection and transportation, as well as kit performance with inadequate access to advanced instrumental techniques, often cannot report COVID-19 at its initial presentation leading to the spread of this infectious disease to a wider community. Moreover, researchers found at least three central variants, distinguishable by amino acid changes, among 160 different complete human SARS-CoV-2 genome sequences. This limits the universal applicability of the currently available commercial COVID-19 kits. In this proposal we present a novel approach for screening of active COVID-19 cases with an electrochemical quantitative biosensor. This unique approach for selective sensing of SARS-CoV-2 eliminates the possibility of misinterpretation arisen due to the genomic variants of this virus which is the most concerning limitation of the current COVID-19 sensing kits. We anticipate that our sensor can detect the specific target nucleic acid sequences without signal cross talk with a detection limit to be around 50 fg/ml with time of response to be around 2-3 mins.", "keywords": [ "2019-nCoV", "Affect", "Affinity", "Amino Acids", "Antisense Oligonucleotides", "Base Sequence", "Binding", "Biological", "Biological Assay", "Biosensing Techniques", "Biosensor", "Body Fluids", "COVID-19", "Calibration", "Caring", "Cessation of life", "Clinic", "Clinical", "Communicable Diseases", "Communities", "Computer software", "Country", "Data", "Detection", "Devices", "Diagnosis", "Diagnostic", "Early Diagnosis", "Electrodes", "Exhibits", "Failure", "Generations", "Genes", "Genome", "Gold", "Guanine + Cytosine Composition", "Health Personnel", "Health system", "Home environment", "Hospitals", "Hour", "Human", "Individual", "Japan", "Length", "Location", "Measurement", "Nucleocapsid", "Outcome", "Output", "Paper", "Patients", "Performance", "Phosphoproteins", "Physicians&apos", "Offices", "Polymerase Chain Reaction", "Quarantine", "Reaction Time", "Reporting", "Research Personnel", "Reverse Transcription", "Saliva", "Sampling", "Screening procedure", "Signal Transduction", "Singapore", "South Korea", "Sulfhydryl Compounds", "Techniques", "Test Result", "Testing", "Time", "Transportation", "United States", "Validation", "Variant", "Virus", "Virus Diseases", "Wait Time", "accurate diagnosis", "analytical method", "base", "chest computed tomography", "cost effective", "design", "disease diagnosis", "disorder control", "genetic variant", "graphene", "nanoGold", "nanomaterials", "novel strategies", "point of care", "real time monitoring", "response", "sample collection", "screening", "sensor", "tool", "urgent care", "viral RNA", "virus genetics", "whole genome" ], "approved": true } }, { "type": "Grant", "id": "7381", "attributes": { "award_id": "3R01AI134907-03S2", "title": "A High-Throughput Platform for COVID-19 Serodiagnosis, Vaccine Evaluation, and Drug Discovery", "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": [ { "id": 7012, "first_name": "LESLEY CONRAD", "last_name": "Dupuy", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-05-01", "end_date": "2021-04-30", "award_amount": 699894, "principal_investigator": { "id": 20595, "first_name": "Ricardo", "last_name": "Rajsbaum", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 851, "ror": "", "name": "UNIVERSITY OF TEXAS MED BR GALVESTON", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 851, "ror": "", "name": "UNIVERSITY OF TEXAS MED BR GALVESTON", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "In response to the current COVID-19 pandemic, it is of paramount importance to rapidly diagnose infections and to develop countermeasures. This project aims to build a high-throughput platform for rapid COVID-19 serodiagnosis, vaccine evaluation, and therapeutics development.", "keywords": [ "2019-nCoV", "Antiviral Agents", "Biological Assay", "COVID-19", "COVID-19 pandemic", "Development", "Diagnosis", "Infection", "Patients", "Serodiagnoses", "Testing", "Vaccines", "disorder control", "drug discovery", "fighting", "instrument", "instrumentation", "pandemic disease", "public health priorities", "public health relevance", "rapid diagnosis", "research and development", "response", "therapeutic development", "vaccine evaluation" ], "approved": true } }, { "type": "Grant", "id": "9147", "attributes": { "award_id": "3R33CA229042-02S1", "title": "A high-throughput nanoparticle assay to characterize cancer neoepitope-specific T cells", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Cancer Institute (NCI)" ], "program_reference_codes": [], "program_officials": [ { "id": 9273, "first_name": "Brian S", "last_name": "Sorg", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-07-01", "end_date": "2022-06-30", "award_amount": 163750, "principal_investigator": { "id": 24919, "first_name": "JONATHAN P", "last_name": "SCHNECK", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 344, "ror": "https://ror.org/00za53h95", "name": "Johns Hopkins University", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 344, "ror": "https://ror.org/00za53h95", "name": "Johns Hopkins University", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "As of early May 2020, there have been approximately 3.7 million confirmed cases of COVID-19 infection worldwide, and approximately 260,000 deaths.1 A retrospective cohort study of patients from Wuhan, China demonstrated that although both survivors and non-survivors initially follow similar clinical courses, developing sepsis and acute respiratory distress syndrome (ARDS) at similar time points, non-survivors progress on to multi-organ failure (MOF), secondary infection, and death.2 Additionally, pediatric cases have been shown to have a much milder disease course than adults, and the reasons for this are not clear.3These differences in clinical courses could in part be explained by the patients’ pre-existing T cell repertoire, phenotype, and HLAspecificity, which may influence downstream T cell phenotype and cytokine responses. Using in silico approaches, we identified multiple potential T cell epitopes which can be divided into 3 broad categories: 1) Epitopes with homology to the original SARS virus 2) Epitopes with homology to other viruses/bacteria 3) Epitopes with homology to self-antigens. We have developed aAPC constructs to interrogate both HLA class I and HLA class II CD8+ and CD4+ T cell responses, respectively. As such, we will be able to obtain a broad understanding of the role these 3 different types of virus-specific epitopes play in the development of COVID19 specific responses. A better understanding of how T cells contribute to progression of disease severity is especially pertinent to patients who are on long-term immunosuppressive therapies because of malignancies, bone marrow transplant, or organ transplant. Patients with cancer were found to have higher probabilities of having more severe disease and worse outcomes in China than both patients without cancer and cancer survivors.4This proposal builds upon previously published work to screen patients for virus-specific T cells using only 100 L of whole blood, and with a turn-around time of less than 24 hours.5 In addition, we have also developed an enrichment and expansion (E+E) technology to rapidly expand virus and tumor-specific T cells within a 7 day time frame.6–12Combining these two approaches, we will identify clinically important T cell epitopes and demonstrate that functional T cells can be expanded to large numbers over a brief period-of-time in otherwise healthy donors and patients with cancer.", "keywords": [ "2019-nCoV", "Address", "Adult", "Adult Respiratory Distress Syndrome", "Antibodies", "Antigen-Presenting Cells", "Antigens", "Autoantigens", "Award", "Bacteria", "Biological Assay", "Blood", "Blood Cells", "Blood Volume", "Blood specimen", "Bone Marrow Transplantation", "CD4 Positive T Lymphocytes", "CD8B1 gene", "COVID-19", "COVID-19 pandemic", "Cancer Patient", "Cancer Survivor", "Categories", "Cellular Immunity", "Cessation of life", "Childhood", "China", "Clinical", "Convalescence", "Detection", "Development", "Diagnosis", "Diagnostic", "Diagnostic tests", "Disease", "Disease Outcome", "Disease Progression", "Enzyme-Linked Immunosorbent Assay", "Epitopes", "Failure", "Generations", "Goals", "Grant", "Hour", "Human", "Immunity", "In Vitro", "Individual", "Infection", "Laboratories", "Lead", "Malignant Neoplasms", "Methods", "Modality", "Morbidity - disease rate", "Mus", "Nature", "Oncology", "Organ Transplantation", "Outcome", "Patients", "Peptides", "Peripheral Blood Mononuclear Cell", "Phenotype", "Play", "Population", "Probability", "Proteins", "Publishing", "Reagent", "Retrospective cohort study", "Reverse Transcriptase Polymerase Chain Reaction", "Risk", "Role", "SARS coronavirus", "Sepsis", "Severity of illness", "Survivors", "T cell response", "T-Lymphocyte", "T-Lymphocyte Epitopes", "Techniques", "Technology", "Testing", "Therapeutic immunosuppression", "Time", "Variant", "Viral", "Viral Antigens", "Virus", "Whole Blood", "Work", "base", "cancer diagnosis", "chemotherapy", "cohort", "cytokine", "cytotoxic CD8 T cells", "design", "high throughput analysis", "immune checkpoint blockade", "in silico", "melanoma", "mortality", "nanoparticle", "neoantigens", "novel", "pandemic disease", "parent grant", "patient screening", "peripheral blood", "predictive panel", "prognostic", "response", "screening", "secondary infection", "tumor" ], "approved": true } }, { "type": "Grant", "id": "8905", "attributes": { "award_id": "1R43GM142332-01", "title": "A high precision piezo driven replacement goniometer for cryoelectron microscopy", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)" ], "program_reference_codes": [], "program_officials": [ { "id": 21614, "first_name": "MARY ANN ANN", "last_name": "WU", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-09-20", "end_date": "2023-06-19", "award_amount": 241587, "principal_investigator": { "id": 24729, "first_name": "Joseph", "last_name": "Stevick", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1776, "ror": "", "name": "HUMMINGBIRD PRECISION MACHINE COMPANY", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1776, "ror": "", "name": "HUMMINGBIRD PRECISION MACHINE COMPANY", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true }, "abstract": "Project Title: A high precision piezo driven replacement goniometer for cryoelectron microscopy Company Name: Hummingbird Precision Machine Co., dba Hummingbird Scientific Principal Investigator: Joseph Stevick Summary: Biomolecular structures resolved by cryoelectron microscopy (Cryo-EM) have significantly advanced our understanding of life processes, specifically in the areas of drug design, vaccines, and other microbiological health solutions. The technique has been so successful and transformative that it was awarded the Nobel Prize for Chemistry in 2017, and more recently was used to solve the structure of the RNA-dependent RNA polymerase from the COVID-19 virus. The biochemical models produced by Cryo-EM studies like this one are vital to researching anti-viral drugs and other microbiological solutions in addition to helping shape our basic understanding of molecular machinery. However, there is a significant technology gap in Cryo-EM hardware that has been overlooked. Transmission electron microscope (TEM) side-entry goniometers (sample positioning systems) were designed before the Cryo-EM technique was developed, and cryogenic side-entry holders are unstable and inconvenient. As a result, closed-loop automated of Cryo-EM workflows becomes inefficient and limited to what the positioning system can achieve rather than what is scientifically important. Time consuming image tracking and error correction methods are currently used to compensate for the poor mechanical positioning capabilities of goniometers and side-entry holders. Our solution is to design a modern sample motion control stage and a corresponding sample holder as a purpose-built combination that is optimized for repeatability, accuracy, and stability at cryogen temperatures. The proposed design will improve state-of-the- art Cryo-EM automation by more than an order of magnitude in precision and increase Dewar life by a factor of 5. This improvement is made possible by a unique ground-up design that optimizes the stage, holder, and cryo-system simultaneously. In Aim 1, we will optimize the stage and holder, utilizing an unconventional design that limits coupled motion, and employs modern mechatronic technologies and sensing methods that will dramatically improve the closed-loop precision of our stage in comparison with current goniometers. In Aim 2, we will optimize the cryo-system design for stable -170°C sample temperatures and ease of use in concert with the stage and holder. As a commercial product, this device would act as a simple retrofit replacement to goniometers on thousands of TEMs that are already dedicated to biological research. Our long-term objective is to empower more scientists with the instruments they need to achieve the best possible Cryo-EM results without having to struggle with basic hardware issues.", "keywords": [ "2019-nCoV", "3-Dimensional", "Antiviral Agents", "Area", "Automation", "Award", "Chemistry", "Consumption", "Coupled", "Cryoelectron Microscopy", "Devices", "Disease", "Drug Design", "Electron Microscope", "Electron Microscopy", "Engineering", "Fingers", "Future", "Gases", "Health", "Image", "Knowledge", "Life", "Mainstreaming", "Maps", "Measures", "Mechanics", "Methods", "Microbiology", "Microscope", "Modeling", "Modernization", "Molecular", "Molecular Biology", "Motion", "Movement", "Names", "Nobel Prize", "Performance", "Phase", "Positioning Attribute", "Principal Investigator", "Process", "RNA-Directed RNA Polymerase", "Research", "Resolution", "Sampling", "Scientist", "Shapes", "Side", "Source", "Specimen", "Structure", "System", "Techniques", "Technology", "Temperature", "Testing", "Time", "Vaccines", "base", "biochemical model", "biological research", "cryogenics", "design", "experience", "improved", "instrument", "microscopic imaging", "nanometer", "novel", "operation", "phase 1 testing", "prototype", "transmission process", "vibration", "virology" ], "approved": true } } ], "meta": { "pagination": { "page": 1391, "pages": 1419, "count": 14184 } } }