Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=2&sort=-approved
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-approved", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1392&sort=-approved", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=3&sort=-approved", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-approved" }, "data": [ { "type": "Grant", "id": "3072", "attributes": { "award_id": "1934962", "title": "HDR TRIPODS: Collaborative Research: Foundations of Greater Data Science", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "HDR-Harnessing the Data Revolu" ], "program_reference_codes": [], "program_officials": [ { "id": 9528, "first_name": "Huixia", "last_name": "Wang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-09-15", "end_date": "2022-08-31", "award_amount": 814165, "principal_investigator": { "id": 9534, "first_name": "Mujdat", "last_name": "Cetin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 464, "ror": "https://ror.org/022kthw22", "name": "University of Rochester", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 9529, "first_name": "Alex", "last_name": "Iosevich", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 9530, "first_name": "Daniel", "last_name": "Gildea", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 9531, "first_name": "Daniel", "last_name": "Stefankovic", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 9532, "first_name": "Tong Tong", "last_name": "Wu", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 464, "ror": "https://ror.org/022kthw22", "name": "University of Rochester", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "The University of Rochester and Cornell University jointly establish the Greater Data Science Cooperative Institute (GDSC). The GDSC is based on two founding tenets. The first is that enduring advances in data science require combining techniques and viewpoints across electrical engineering, mathematics, statistics, and theoretical computer science. The investigators' goal is to forge a consensus perspective on data science that transcends any individual field. The second is that data-science research must be grounded in an application domain. This helps to ensure that assumptions about the availability and quality of data are realistic, and it allows methodological results to be tested experimentally as well as theoretically. As such, the GDSC aims to consider applications in medicine and healthcare, an important application domain and one for which advances in data science can have a direct, positive impact on society. The GDSC aims to tackle foundational questions that are motivated by problems in healthcare, obtain solutions that fuse domain expertise with application-agnostic methodologies, and ultimately yield scientific advances that impact the way healthcare is provided. The GDSC aims to leverage the physical proximity of the two institutions, and the unique strengths in each of the core disciplines above and in medicine.\n\nThe GDSC's cross-disciplinary research directions include: (i) Topological Data Analysis. The challenges that high-dimensional, incomplete, and noisy data present are great, but in many applications, exploiting the topological nature of the problem is possible. GDSC aims to develop new fundamental methods and theory to rigorously explore the promise of this unique approach. (ii) Data Representation. Data compression, embeddings, and dimension reduction play a fundamental role in data science. Inspired by new core challenges in biomedical imaging, genomics, and neural-spike training data, GDSC aims to develop novel source models and distortion measures, and ultimately seek a unifying theoretical framework across domains and disciplines. (iii) Network & Graph Learning. Many of the fundamental challenges in applying data science to non-homogeneous populations are best explored through a network or graph structure. GDSC aims to develop new techniques for parameter-dependent eigenvalue problems in spectral community detection, density-estimation methods on networks, and a theoretical framework for time-varying graphical models to study dynamic variable relations in time-evolving networks. (iv) Decisions, Control & Dynamic Learning. Sequential decisions are high-stakes in medicine. GDSC aims to utilize systems and control-engineering methods to improve health and disease management and develop new foundational theories and methods for label-efficient active learning and dynamic treatment regimes. (v) Diverse & Complex Modalities. Big data is complex data, and major new innovations are needed. GDSC aims to develop theoretical frameworks for inference under computational and privacy constraints and for high-dimensional data without parametric model assumptions. Text, image, and audio data present further challenges. To address such challenges, GDSC aims to explore transition systems for graph parsing of natural language and new fusion approaches for fully multimodal analysis. \n\nThis project is part of the National Science Foundation's Harnessing the Data Revolution (HDR) Big Idea activity.\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": "768", "attributes": { "award_id": "2050640", "title": "Planning Virtual Strategies to Prepare Science and Mathematics Teachers in Mississippi", "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": 1805, "first_name": "Susan", "last_name": "Carson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-03-01", "end_date": "2023-02-28", "award_amount": 124992, "principal_investigator": { "id": 1809, "first_name": "Mitchell M", "last_name": "Shears", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 396, "ror": "https://ror.org/01ecnnp60", "name": "Jackson State University", "address": "", "city": "", "state": "MS", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 1806, "first_name": "Abu O", "last_name": "Khan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 1807, "first_name": "Alicia K", "last_name": "Jefferson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 1808, "first_name": "Nadine", "last_name": "Gilbert", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 396, "ror": "https://ror.org/01ecnnp60", "name": "Jackson State University", "address": "", "city": "", "state": "MS", "zip": "", "country": "United States", "approved": true }, "abstract": "This project aims to serve the national need for skilled secondary science and mathematics teachers in high-need school districts. To do so, the project seeks to lay the foundation for secondary-education certification programs adapted to the novel demands of pre- and post-COVID teaching/learning environments. Conceived initially as a response to the COVID-19 pandemic, the project aims to use technology and virtual approaches to deliver remote learning opportunities for future teachers. As such, the project will enable Jackson State University to explore the feasibility of a large-scale effort to increase use of evidence-based, distance-learning strategies in teacher education. Examples of strategies include virtual simulations, digital credentialing, and online social and emotional learning. The work will be situated in the urban setting of the Mississippi State capital. This project at Jackson State University includes partnerships with Hinds Community College and Jackson Public Schools, a high-need school district. The long-term goal of this collaborative effort is plan how to recruit, support, and graduate teachers who will help meet the shortage of science and mathematics teachers at high-need schools often staffed by rotating long- and short-term substitute teachers. The project builds on the conceptual framework of Jackson State’s College of Education and Human Development vision of the “responsive educator” who provides and embodies: 1) a Committed Response; 2) a Knowledgeable Response; 3) a Skillful Response; and 4) a Professional Response. Additionally, the project builds on the current infrastructure of the University’s Physics and Mathematics Education curriculum. The goals of this Capacity Building project are to: 1) develop evidence-based innovative models and strategies for recruiting, preparing, and supporting teachers; 2) create plans for collecting data to determine need, interest, and capacity for increasing STEM teacher development; and 3) establish the infrastructure for preparing a Track 1: Scholarship & Stipend proposal in the future. This Capacity Building project is supported through the Robert Noyce Teacher Scholarship Program (Noyce). The Noyce program supports talented STEM undergraduate majors and professionals to become effective K-12 STEM teachers and experienced, exemplary K-12 teachers to become STEM master teachers in high-need school districts. It also supports research on the persistence, retention, and effectiveness of K-12 STEM teachers in high-need school districts.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": "6144", "attributes": { "award_id": "3R01MD012421-03S1", "title": "Influence of patient-centered HIV care on retention and viral suppression disparities", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Minority Health and Health Disparities (NIMHD)" ], "program_reference_codes": [], "program_officials": [ { "id": 20877, "first_name": "Richard", "last_name": "Berzon", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-01-29", "end_date": "2023-11-30", "award_amount": 268162, "principal_investigator": { "id": 20878, "first_name": "MARY JO JO", "last_name": "TREPKA", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 207, "ror": "https://ror.org/02gz6gg07", "name": "Florida International University", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true }, "abstract": "People with human immunodeficiency virus (HIV) are at increased risk of COVID-19 complications due to underlying immunosuppression and comorbidities and thus can significantly benefit from COVID-19 vaccination. People with HIV (PWH) are also more likely to belong to racial/ethnic minorities that have been disproportionately burdened by the COVID-19 pandemic and are currently underrepresented among vaccinated individuals. The objective of this study is to identify points of intervention to increase COVID-19 vaccine uptake among African American, Hispanic, and Haitian PWH. To achieve this objective, we will conduct a mixed methods study involving a sample of 129 Hispanics, 116 African Americans and 53 Haitians with HIV who were previously interviewed from October 2020 to January 2021 about the effect of the COVID- 19 pandemic on their health and wellbeing and their HIV care (Wave 1). The current supplement (Wave 2) will extend the previous study by determining COVID-19 vaccine uptake and factors associated with vaccine uptake. The survey questions will collect quantitative data about factors associated with vaccination using both the Health Belief Model (e.g., perceived susceptibility to COVID-19, perceived severity of COVID-19, perceived barriers and benefits of COVID-19 vaccination, and cues to action) and the Social Ecological Model (i.e., potential intrapersonal, interpersonal, and community/institutional-level factors associated with COVID-19 vaccine uptake). Data from the survey will also be used to identify the extent to which COVID-19 vaccination improves psychosocial (e.g., COVID-19 related worry) and socioeconomic (e.g., reduced income) stressors. Furthermore, we will conduct exploratory analyses to assess the association between vaccination and retention in HIV care and viral suppression. Subsequently, we will ask a sample of vaccinated and unvaccinated survey respondents to participate in semi-structured in-depth interviews to clarify quantitative findings and identify points of intervention. Findings from this study will guide vaccination promotion messages for racial/ethnic minorities with HIV, guide vaccination delivery methods (e.g., vaccination in HIV care settings), and elucidate the potential role of COVID-19 vaccination in improving the health and wellbeing of people with HIV.", "keywords": [ "African American", "Anxiety", "COVID-19", "COVID-19 mortality", "COVID-19 pandemic", "COVID-19 severity", "COVID-19 vaccination", "COVID-19 vaccine", "Caring", "Case Manager", "Client", "Communities", "Cross-Sectional Studies", "Cues", "Data", "Depressed mood", "Feeling", "HIV", "Haitian", "Health", "Hispanics", "Hour", "Household", "Immunosuppression", "Income", "Individual", "Intervention", "Interview", "Loneliness", "Medical", "Methods", "Minority Groups", "Modeling", "Not Hispanic or Latino", "Occupations", "Participant", "Personal Satisfaction", "Population", "Predisposition", "Recommendation", "Reporting", "Respondent", "Risk", "Role", "Sampling", "Social Network", "Structure", "Surveys", "Telephone", "Vaccinated", "Vaccination", "Viral", "Virus Diseases", "anxious", "care providers", "comorbidity", "ethnic minority population", "follow-up", "health belief", "improved", "pandemic disease", "patient oriented", "programs", "psychosocial", "racial and ethnic", "severe COVID-19", "social", "social norm", "socioeconomics", "stressor", "vaccine acceptance" ], "approved": true } }, { "type": "Grant", "id": "2048", "attributes": { "award_id": "2029292", "title": "RAPID: Collaborative Research: Relationships, social distancing, social media and the spread of COVID-19", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)" ], "program_reference_codes": [ "025Z", "065Z", "096Z", "7434", "7914" ], "program_officials": [ { "id": 5498, "first_name": "Jan", "last_name": "Leighley", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-05-15", "end_date": "2021-04-30", "award_amount": 117340, "principal_investigator": { "id": 5499, "first_name": "Katherine", "last_name": "Ognyanova", "orcid": "https://orcid.org/0000-0003-3038-7077", "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": "['https://covidstates.org/']", "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 218, "ror": "", "name": "Rutgers University New Brunswick", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true }, "abstract": "This project seeks to improve the national response to the COVID-19 pandemic by launching large-scale data collection through a rolling national survey linked to individual social media data. We generate information useful to policymakers and local authorities and offer near-real-time state-by-state disease tracking. Our data allow officials to understand where the virus is currently spreading, facilitating improved allocation of resources. We also evaluate the networked nature of the disease, tracking its flow based on the reported social relationships of the survey participants and their social distancing behaviors. The project captures how well the information and communication needs of Americans are met during this crisis, observes patterns of citizen compliance with government recommendations, stay-at-home orders, and enforced lockdowns, and assesses their impact on suppressing the spread of the virus among diverse populations.The project has two core objectives: (1) producing information that will be immediately useful in improving the national response to COVID-19; and (2) using COVID-19 data to understand how people adapt to and make sense of a national crisis that has important and immediate ramifications for their daily lives. We rely on a large-scale, rolling national survey that is conducted on a daily basis, with approximately 3000 respondents per day. We also link the survey data to the social media behavior of respondents. The large sample sizes collected daily offers near-real-time state-by-state disease tracking, as well as the ability to observe key differences in responses to policies across demographic groups. The design will capture how people use technology to work, get informed, and stay connected, and respondents’ financial difficulties, employment experiences, and parenting and educational challenges in response to the pandemic.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": "4096", "attributes": { "award_id": "1607069", "title": "2016 Cellular & Molecular Fungal Biology GRC, Plymouth, New Hampshire, June 19-24, 2016", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "Symbiosis Infection & Immunity" ], "program_reference_codes": [], "program_officials": [ { "id": 13758, "first_name": "Michael", "last_name": "Mishkind", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2016-07-01", "end_date": "2017-06-30", "award_amount": 15000, "principal_investigator": { "id": 13759, "first_name": "Amy", "last_name": "Gladfelter", "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": [], "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 will facilitate the attendance and participation of early career scientists in the Gordon Research Conference on Cellular and Molecular Fungal Biology to be held at the Holderness School, June 19-24, 2016. The goal of the conference is to disseminate information about fungal biology among an interdisciplinary group of researchers, and to increase our collective understanding of basic fungal biology and its application to socially important problems. Fungi are essential parts of the terrestrial nutrient cycle, play a central role in the development of biofuels, and produce many critically important chemicals. These diverse applications of fungi require the interdisciplinary acquisition and application of fundamental fungal biology. This project will support the convergence and exchange of new findings amongst an interdisciplinary group of scientists dedicated to the study of fungi. \n\nThe intellectual merit of the project is rooted in the meeting's highly interdisciplinary and interactive format. The meeting will feature topics that integrate multiple time and space scales for different questions in fungal biology to promote interactions amongst researchers with diverse perspectives within the community. There is a specific emphasis on integrating mathematical modeling and biophysics as a new addition to this meeting and an entire session is dedicated to the interface of fungal biology with the physical sciences. The meeting enables cross-fertilization of ideas, from cell biology to evolution, that occurs in and outside of the sessions and especially between junior and senior scientists. Young investigators emphasize from previous meetings how interactive the conference is and how responsive it is to the presentation of their work.\n\nThis conference has broad impacts on training and is dedicated to extending the research community by emphasizing women and members of underrepresented groups in inviting speakers. The current invited speakers are approximately 50% women, including several Latinas. The small size of the meeting and the emphasis on discussion (40% of meeting time is dedicated to discussions) encourages active participation. Poster sessions are featured without competing events to focus attention on the most junior scientists, who often have the newest data. The GRC on Cell and Molecular Fungal Biology also is dedicated to research that applies basic knowledge to socially important questions involving filamentous fungi, particularly mutualisms with plants (mycorrhizae), parasitism with plants (plant pathology) and animals (animal pathology), and industrial mycology (enzyme production). The interactions among researchers focused on both basic and socially important research speeds research aimed at solving societal problems caused by or that can be improved by fungi.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "5888", "attributes": { "award_id": "3R01GM124280-04S1", "title": "Modeling ongoing SARS-CoV2 vaccination strategies in light of emerging data on immunity and viral evolution", "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": 20149, "first_name": "Han", "last_name": "Nguyen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2018-06-01", "end_date": "2023-05-31", "award_amount": 173135, "principal_investigator": { "id": 20150, "first_name": "Benjamin A", "last_name": "Lopman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 265, "ror": "https://ror.org/03czfpz43", "name": "Emory University", "address": "", "city": "", "state": "GA", "zip": "", "country": "United States", "approved": true }, "abstract": "While SARS-CoV-2, the pathogen causing COVID-19, continues to spread, the rapid development and deployment of effective vaccines provide a means by which we can reduce its future impact. Initial vaccines have shown to be highly effective, however, the current emergence of new SARS-CoV-2 variants, together with indications that of waning immunity, means that continued repeat vaccinations are likely to be required. Here, we will build upon resources we have already developed from our ongoing project aimed at modeling potential norovirus vaccines and our previous work aimed at modeling the impact of vaccination for SARS-CoV-2 Our team has made contributions and investigated the relative population impacts of SARS-CoV-2 vaccines with different mechanisms of action; characterized patterns of virus evolution that have the potential to impact vaccine efficacy and escape; and, examined initial strategies for vaccine deployment with the aim of relaxing social distancing guidelines. We will leverage these data and modeling tools and build on this work to assess more fully the patterns of immune waning and virus evolution. We will then use these data and results and combine them with our existing SARS-CoV-2 vaccine simulation model to inform the building and the calibration of an extended model. This extended model will account for waning immunity to SARS-CoV-2 and its viral evolution. Our model will inform rapidly emerging scientific questions around continued SARS-CoV-2 vaccination and re-vaccination strategies, including both boosting and vaccine reformulation.", "keywords": [ "2019-nCoV", "Antibodies", "COVID-19", "COVID-19 vaccination", "COVID-19 vaccine", "Calibration", "Collection", "Computer Simulation", "Data", "Development", "Evolution", "Future", "Guidelines", "Immune", "Immunity", "Incidence", "Infection", "Light", "Modeling", "Norovirus", "Pattern", "Population", "Public Health", "Publications", "Recommendation", "Resources", "Role", "SARS-CoV-2 immunity", "SARS-CoV-2 infection", "SARS-CoV-2 variant", "Serology", "Social Distance", "Statistical Models", "Vaccination", "Vaccines", "Viral", "Virus", "Work", "models and simulation", "pathogen", "tool", "vaccination strategy", "vaccine distribution", "vaccine efficacy", "vaccine-induced immunity" ], "approved": true } }, { "type": "Grant", "id": "5120", "attributes": { "award_id": "1010204", "title": "CNH/EID: The Vector Mosquito Aedes aegypti at the Margins: Sensitivity of a Coupled Natural and Human System to Climate Change", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "DYN COUPLED NATURAL-HUMAN" ], "program_reference_codes": [], "program_officials": [ { "id": 18242, "first_name": "Sarah", "last_name": "Ruth", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2010-10-01", "end_date": "2014-09-30", "award_amount": 1235153, "principal_investigator": { "id": 18246, "first_name": "Andrew", "last_name": "Monaghan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 275, "ror": "", "name": "University Corporation For Atmospheric Res", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 18243, "first_name": "Mary H", "last_name": "Hayden", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 18244, "first_name": "Lars M", "last_name": "Eisen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 18245, "first_name": "Luca Delle", "last_name": "Monache", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 275, "ror": "", "name": "University Corporation For Atmospheric Res", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "abstract": "This project will explore the ecology of Aedes (Ae.) aegypti, the mosquito that transmits dengue, yellow fever and chikungunya. We hypothesize that the combined effects of climate variability and changes made by humans to their local environment can influence key aspects of both mosquito ecology and human behavior. Studying this system as a whole will improve our ability to predict risks of mosquito vector and dengue virus exposure and the possible impacts of future climate change. \n\nDengue viruses circulate between mosquitoes and humans, causing an estimated 100 million human dengue infections annually. In the last decade, the Americas have experienced a dramatic increase in severe cases (dengue hemorrhagic fever), with devastating public health consequences. As neither vaccines nor therapeutics are yet available, mosquito control is the main option for preventing and controlling dengue outbreaks. Efforts in this area have been hindered by a poor understanding of the dengue virus transmission system at the interface between its natural and human components. Of particular concern is the potential for dengue fever to expand into areas that are presently outside transmission zones but may become vulnerable under scenarios of future climate change. For example, this potential expansion poses a risk to the ~19 million people in and near Mexico City, a high altitude \"island\" currently free of dengue but surrounded by dengue virus transmission at lower altitudes. \n\nSpecific aims of the project are to: (1) determine how weather/climate factors are related to the presence and abundance of disease-carrying mosquitoes, especially by serving as barriers to mosquitoes becoming established in an area; (2) use these results in high-resolution atmospheric models to develop a predictive model for future mosquito range expansion; (3) determine which aspects of human behavior and attributes of man-made environments are most closely related to Ae. aegypti presence and abundance; (4) employ state-of-the-science data assimilation procedures to validate, refine, and define uncertainty in this modeling framework. Key aspects of this coupled natural and human system will be studied along an altitudinal transect in Mexico, ranging from coastal, low-elevation environments with well established vector mosquito populations and intense dengue virus transmission to high-elevation, mountainous areas which currently are free of the mosquito vector and local virus transmission. The team of experts from Mexico and the United States includes climatologists, vector ecologists, modelers and medical anthropologists.\n\nThe project will contribute essential insights into the ongoing debate about climate change and infectious disease relationships, extending beyond the explicit vector ecology and geographic boundaries of this study. The work will provide quantitative knowledge that can be used to develop novel strategies to control Ae. aegypti in the face of future threats to system resilience. Further, it will provide training for a postdoctoral fellow in climate modeling and spatial risk modeling at both Colorado State University and the National Center for Atmospheric Research and involvement and in situ training of university and secondary school students in data collection. Through \"participatory epidemiology\", local community members will learn how to use environmental observation and data collection as a means of community empowerment.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4608", "attributes": { "award_id": "1439327", "title": "CISE/CCF: 2014 Summer School on Formal Techniques", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Software & Hardware Foundation" ], "program_reference_codes": [], "program_officials": [ { "id": 15901, "first_name": "Nina", "last_name": "Amla", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2014-04-01", "end_date": "2015-03-31", "award_amount": 85000, "principal_investigator": { "id": 15902, "first_name": "Natarajan", "last_name": "Shankar", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 325, "ror": "https://ror.org/05s570m15", "name": "SRI International", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 325, "ror": "https://ror.org/05s570m15", "name": "SRI International", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Formal verification techniques such as model checking, satisfiability solving, theorem proving, and static analysis have matured rapidly in recent years. These techniques have a number of important applications ranging from the modeling and analysis of biological and cyber-physical systems to the verification of the safety and security of complex software systems. The Summer School on Formal Techniques trains students in the principles and practice of formal verification, with a strong emphasis on the hands-on use and development of this technology. It primarily targets graduate students and young researchers who are interested in using verification technology in their own research in fields such as computing, engineering, biology, and mathematics. Students at the school are given the opportunity to experiment with the tools and techniques presented in the lectures.\n\nThe 2014 edition of the Summer School is the fourth in the series takes place during May 19-23, 2014. Topics covered in this school include logic, formalization, interactive theorem proving, SAT and SMT solving, model checking, program semantics, modeling and verification of security protocols, and software reliability. The students cooperate in solving challenging problems while learning to use cutting-edge tools and techniques.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4352", "attributes": { "award_id": "1458514", "title": "Geoscience Scholarships to Improve Recruitment and Retention of Academically Talented Students", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Education and Human Resources (EHR)", "S-STEM-Schlr Sci Tech Eng&Math" ], "program_reference_codes": [], "program_officials": [ { "id": 14805, "first_name": "Keith", "last_name": "Sverdrup", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-04-01", "end_date": "2021-03-31", "award_amount": 639136, "principal_investigator": { "id": 14809, "first_name": "Amy", "last_name": "Sheldon", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1269, "ror": "", "name": "SUNY College at Geneseo", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 14806, "first_name": "Dori J", "last_name": "Farthing", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 14807, "first_name": "Scott D", "last_name": "Giorgis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 14808, "first_name": "Nicholas H", "last_name": "Warner", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1269, "ror": "", "name": "SUNY College at Geneseo", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "This project at SUNY Geneseo will address the national need for more and better trained geoscientists by increasing recruitment, retention to graduation, and preparation for and placement in careers or geosciences graduate programs and by combining scholarships and academic and career services. Through many student support and enrichment activities, this project will enhance interactions between SUNY Geneseo and academic institutions including SUNY Buffalo and SUNY Binghamton where many new geosciences graduates from the college pursue M.S. or Ph.D. degrees. In addition, connections to regional geosciences industries, including the American Rock Salt Company and Stell Environmental Enterprises, as well as government and academic research programs such as NASA, DOE, and a variety of National Laboratory and Research Experience for Undergraduates programs, will be strengthened through the development of opportunities for student research and internships. Together, these improvements will increase the number and quality of research opportunities for undergraduate geosciences students, increase opportunities for students to participate and present at professional and scholarly conferences, and address the national need to increase the number of geosciences students to fill jobs in oil and gas, environmental service, and mining industries. \n\nThe project will target students majoring in geology, geochemistry, and geophysics at SUNY Geneseo and is designed to meet three objectives: (1) increase recruitment and enrollment of academically talented students with financial need by at least 20%, (2) enhance retention and graduation within four years by at least 10%, and (3) increase placement in a geosciences or related science, technology, engineering, or mathematics (STEM) career or graduate program by 13%. The project leadership will work with the Office of Admissions and twenty alumni who are geoscience teachers at high schools in western New York to recruit academically talented scholars with financial need to the program. Cohorts of scholars will be brought together by (a) taking the same classes, (b) engaging in supplemental instruction programs, (c) participating in field trips, (d) interacting with graduate students and alumni, and (v) engaging in research and/or internships. The program goals will be accomplished through two primary components: (i) enhanced student support programs, and (ii) experiential learning opportunities. Career placement-related program components will be supplemented with support from the Office of Career Development. The scholarship program will allow SUNY Geneseo to implement and assess support services for geosciences students, including Supplemental Instruction (SI), Workshops with Graduate Students, a Geology Alumni-Student Program, field trips, research experiences, and internships. SI is a proven method to increase retention and graduation rates in many STEM disciplines; however, the effectiveness of SI has not been tested in the geosciences. This program will fill that void and provide insight into best practices and effective measures for promoting retention, graduation, and placement in the geosciences.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "3584", "attributes": { "award_id": "1654828", "title": "Collaborative Research: The Impact of Face-to-Face and Remote Interviewing", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "LSS-Law And Social Sciences" ], "program_reference_codes": [], "program_officials": [ { "id": 11632, "first_name": "Reginald", "last_name": "Sheehan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2017-05-01", "end_date": "2021-04-30", "award_amount": 145095, "principal_investigator": { "id": 11634, "first_name": "Debra", "last_name": "Poole", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1001, "ror": "https://ror.org/02xawj266", "name": "Central Michigan University", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 11633, "first_name": "Christopher", "last_name": "Davoli", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1001, "ror": "https://ror.org/02xawj266", "name": "Central Michigan University", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true }, "abstract": "Despite widespread dissemination of best-practice standards for conducting forensic interviews, many jurisdictions lack the expertise to skillfully investigate crimes involving child witnesses. An efficient way to ensure that all jurisdictions have access to highly trained child interviewers is to conduct remote (live-streaming video) forensic interviews. Remote interviewing could reduce investigative response time, spare investigative resources, and accelerate case disposition. However, the ability of remote interviewing to elicit eyewitness evidence from children has not been sufficiently tested and, therefore, will certainly prompt challenges regarding children?s testimonial reliability. The current project is a comprehensive and theoretically grounded evaluation of the effectiveness of remote interviewing of child witnesses. Results will be disseminated to scientists and forensic professionals through publications and presentations, thereby informing policies and guidelines for the use of remote forensic interviews with children. Because remote interviewing increases access to specialized expertise, project results will also impact how children are questioned by electronic means in non-forensic contexts. The project will provide research training to dozens of students at two research sites and promote greater awareness of evidence-based practice through outreach to practitioners who work with child witnesses. \n\nUsing an established paradigm that produces salient touching experiences, individual children at two sites (ages 4 to 8 years) will be told that a male assistant can no longer touch their skin when he delivers a germ education program. The assistant will touch each child once and realize an impending mistake before he completes a second touch. Afterward, children will hear a story from their parents that contains misinformation about the experience, including narrative about a nonexperienced touch. During interviews conducted in traditional face-to-face or remote formats, children will answer questions about the germ education event and answer a series of questions that tests their ability to distinguish experienced from suggested events. By comparing the completeness and accuracy of children?s testimonies across formats, this study will determine whether remote interviewing elicits testimony that is comparable in quality to the testimony elicited by face-to-face interviewing. Measures of behavioral inhibition and executive function will determine whether remote interviewing is beneficial for children who are behaviorally inhibited or contraindicated for typically-developing children who have poor cognitive control.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 2, "pages": 1392, "count": 13920 } } }