Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1392&sort=-id
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-id", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=-id", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1393&sort=-id", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1391&sort=-id" }, "data": [ { "type": "Grant", "id": "653", "attributes": { "award_id": "2034992", "title": "Collaborative Research: Effective Face Masks to Mitigate COVID-19 Transmission: Insights from Multimodal Quantitative Analysis", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [], "program_officials": [ { "id": 1492, "first_name": "Ron", "last_name": "Joslin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-11-15", "end_date": "2023-10-31", "award_amount": 234225, "principal_investigator": { "id": 1493, "first_name": "Kourosh", "last_name": "Shoele", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 343, "ror": "https://ror.org/05g3dte14", "name": "Florida State University", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 343, "ror": "https://ror.org/05g3dte14", "name": "Florida State University", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true }, "abstract": "The years ahead will likely see face masks become a critical and widely used “medical appliance.” Understanding the physics that underpins the effectiveness of face masks as a defense against airborne pathogens is therefore, more important than ever. The protection afforded by face masks has emerged as a particularly important issue in the COVID-19 pandemic, but the flow physics of face masks is complex and is not well-studied. The increased pressure inside the mask during expiration pushes the face mask outwards, resulting in increased perimeter leakage. This fluid-structure interaction problem is mediated by the structural design and the permeability of the mask, as well as the fit on the face. Spasmodic events such as coughing and sneezing generate high transient expulsion velocities and significantly diminish the outward protection of face masks. However, in a conceivable future where people will wear face masks while engaged in their daily routines, outward protection during normal activities such as breathing and talking, might be equally important. The objectives of this project are (i) to develop improved computational and experimental tools necessary to characterize the performance of face masks, (ii) to employ these tools to perform a detailed characterization of mask performance under a variety of conditions and (iii) to generate, in a timely manner, data that can be used for improved facemask design and to guide more effective public health policy.The project will develop a set of innovative, powerful and accurate computational and experimental tools, rooted in flow physics and mechanics that can be used for the quantitative analysis of the protective performance of face masks. Computational tools will couple fluid flows with the motion of elastic structures in complex geometries defined by a wide range of facial geometries. Experimental tools will include simultaneous measurements of mask motion and the aerosol cloud, using Digital Image Correlation and Particle Image Velocimetry, respectively. Visible and X-ray techniques will be used to take measurements outside and inside the mask. The combined results of the simulations and experiments are expected to yield critical insights regarding the features that contribute to the protective performance of masks, and to provide timely guidance for improved mask design and effective public health policies. The project will promote the multidisciplinary education of students in Science and Engineering, and increase public knowledge about the fluid dynamics principles of effective facemasks.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": "652", "attributes": { "award_id": "2042221", "title": "Microcirculatory blood flow in sickle cell disease", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [], "program_officials": [ { "id": 1490, "first_name": "William", "last_name": "Olbricht", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-11-15", "end_date": "2023-10-31", "award_amount": 338268, "principal_investigator": { "id": 1491, "first_name": "Michael D", "last_name": "Graham", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 263, "ror": "", "name": "University of Wisconsin-Madison", "address": "", "city": "", "state": "WI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 263, "ror": "", "name": "University of Wisconsin-Madison", "address": "", "city": "", "state": "WI", "zip": "", "country": "United States", "approved": true }, "abstract": "Sickle cell disease (SCD) is a disorder of red blood cells that affects about 100,000 Americans, particularly those whose ancestors came from sub-Saharan Africa or Latin America. In the disorder, red blood cells stiffen as they age and often take on a sickle shape. Acute symptoms of SCD arise when diseased red blood cells obstruct small blood vessels due to the sickled shape and increased stiffness, resulting in restricted local blood flow. However, chronic issues arise as well, and these have received less attention in the past. The cells that line blood vessels become dysfunctional in most regions of the circulation, and especially in the brain, where blood vessel damage is associated with increased risk of stroke, one of the leading yet least understood causes of mortality in SCD. Additionally, the Centers for Disease Control and Prevention reports that having SCD increases the risk of severe illness from COVID-19. This project will use simulations of a detailed mathematical model of blood flow to gain a better understanding of how the altered properties of sickle cells may lead to damage of blood vessel walls. Particular attention will be paid to blood vessels of serpentine and related shapes that are found in the brain. Diseased cells of a SCD patient are smaller and stiffer than healthy red blood cells (RBCs). Both of these features increase the propensity for cells to reside near blood vessel walls, a phenomenon called margination. Past experimental and computational work in idealized systems supports the hypothesis that diseased cells strongly marginate, residing primarily in the cell-free layer near blood vessel walls, thereby generating physical interactions such as large shear stress fluctuations and mechanical contacts that damage the endothelial cells that line the vessels. This project will move from idealized systems to physiologically relevant conditions and complexities, addressing important questions about the fluid mechanics of sickle cell disease. Detailed simulations and simplified mechanistic models will be used to (1) Predict the effects of cell properties, including shape, size, stiffness, adhesiveness and polydispersity on spatial distributions and wall interactions during flow, and (2) Mechanistically determine the effects of blood vessel geometry and hemodynamics on SCD RBC margination and cell-wall interactions, particularly in branched and serpentine blood vessel geometries characteristic of the brain microcirculation. Broader impacts of the project include (1) its focus on connecting fundamental biomechanics and fluid dynamics to an important problem in medicine, (2) involvement of undergraduate students, especially those from underrepresented minorities, in research, and (3) a service learning course in which undergraduate engineering students develop project-based lessons in fluid mechanics and share them with children from underserved minority populations.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": "651", "attributes": { "award_id": "2035002", "title": "Collaborative Research: Effective Face Masks to Mitigate COVID-19 Transmission: Insights from Multimodal Quantitative Analysis", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [], "program_officials": [ { "id": 1488, "first_name": "Ron", "last_name": "Joslin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-11-15", "end_date": "2023-10-31", "award_amount": 369000, "principal_investigator": { "id": 1489, "first_name": "Kenneth S", "last_name": "Breuer", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 222, "ror": "https://ror.org/05gq02987", "name": "Brown University", "address": "", "city": "", "state": "RI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 222, "ror": "https://ror.org/05gq02987", "name": "Brown University", "address": "", "city": "", "state": "RI", "zip": "", "country": "United States", "approved": true }, "abstract": "The years ahead will likely see face masks become a critical and widely used “medical appliance.” Understanding the physics that underpins the effectiveness of face masks as a defense against airborne pathogens is therefore more important than ever. The protection afforded by face masks has emerged as a particularly important issue in the COVID-19 pandemic, but the flow physics of face masks is complex and is not well-studied. The increased pressure inside the mask during expiration pushes the face mask outwards, resulting in increased perimeter leakage. This fluid-structure interaction problem is mediated by the structural design and the permeability of the mask, as well as the fit on the face. Spasmodic events such as coughing and sneezing generate high transient expulsion velocities and significantly diminish the outward protection of face masks. However, in a conceivable future where people will wear face masks while engaged in their daily routines, outward protection during normal activities such as breathing and talking, might be equally important. The objectives of this project are (i) to develop improved computational and experimental tools necessary to characterize the performance of face masks, (ii) to employ these tools to perform a detailed characterization of mask performance under a variety of conditions and (iii) to generate, in a timely manner, data that can be used for improved facemask design and to guide more effective public health policy.The project will develop a set of innovative, powerful and accurate computational and experimental tools, rooted in flow physics and mechanics that can be used for the quantitative analysis of the protective performance of face masks. Computational tools will couple fluid flows with the motion of elastic structures in complex geometries defined by a wide range of facial geometries. Experimental tools will include simultaneous measurements of mask motion and the aerosol cloud, using Digital Image Correlation and Particle Image Velocimetry, respectively. Visible and X-ray techniques will be used to take measurements outside and inside the mask. The combined results of the simulations and experiments are expected to yield critical insights regarding the features that contribute to the protective performance of masks, and to provide timely guidance for improved mask design and effective public health policies. The project will promote the multidisciplinary education of students in Science and Engineering, and increase public knowledge about the fluid dynamics principles of effective facemasks.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": "650", "attributes": { "award_id": "2103262", "title": "RAPID: COVID-19 and Perceptions of Electoral Integrity", "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": [], "program_officials": [ { "id": 1482, "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": "2020-12-01", "end_date": "2021-11-30", "award_amount": 180448, "principal_investigator": { "id": 1487, "first_name": "Brian J", "last_name": "Fogarty", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 171, "ror": "https://ror.org/00mkhxb43", "name": "University of Notre Dame", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 1483, "first_name": "John M", "last_name": "Carey", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 1484, "first_name": "Jason A", "last_name": "Reifler", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 1485, "first_name": "Brendan", "last_name": "Nyhan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 386, "ror": "https://ror.org/049s0rh22", "name": "Dartmouth College", "address": "", "city": "", "state": "NH", "zip": "", "country": "United States", "approved": true } ] }, { "id": 1486, "first_name": "Andrew", "last_name": "Guess", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 171, "ror": "https://ror.org/00mkhxb43", "name": "University of Notre Dame", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "Concerns regarding election fraud and election manipulation associated with the substantial expansion of voting by mail in the 2020 elections due to COVID-19 may threaten citizens’ trust in American election outcomes and the electoral system. This study provides insights into public beliefs about voter fraud related to mail-in voting and the effectiveness of new information provided through social media and media outlets. The study also assesses how people’s beliefs and experiences with COVID-19 are related to their perceptions of electoral integrity.The study collects behavioral and survey data from Americans in a multi-wave nationally representative survey. The panel survey design compares the accuracy of citizens’ factual beliefs about the prevalence of voter fraud between late summer 2020 and two survey waves conducted immediately following the election in November 2020 and just prior to the presidential inauguration in January 2021. The second wave includes an experiment evaluating the effectiveness of corrective information from the media. The study assesses the information people encounter online about the election by analyzing behavioral data from respondents using human-coded and machine learning approaches.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": "649", "attributes": { "award_id": "2053985", "title": "RAPID: Disparities in Business and Nonprofit Impact and Recovery from Hurricane Harvey, COVID-19, and Hurricane Laura", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [], "program_officials": [ { "id": 1479, "first_name": "Jacqueline", "last_name": "Meszaros", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-12-01", "end_date": "2022-11-30", "award_amount": 53832, "principal_investigator": { "id": 1481, "first_name": "Michelle A", "last_name": "Meyer", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 342, "ror": "https://ror.org/01f5ytq51", "name": "Texas A&M University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 1480, "first_name": "Rebekka M", "last_name": "Dudensing", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 342, "ror": "https://ror.org/01f5ytq51", "name": "Texas A&M University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "Reducing the effects of disasters on businesses and nonprofits is growing in importance as disasters are more frequent. However, understanding of disaster impacts and recovery across a variety of organizational types is still relatively limited. For example, while disparities in recovery for organizations owned by women, veterans, or racial minorities have been observed, the underlying mechanisms are not well established. In addition, understanding of how businesses and nonprofits recover from multiple and cascading impacts (such as hurricanes followed by a pandemic followed by another hurricane) is also only beginning to develop. This Rapid Response Research (RAPID) project extends preliminary research conducted following Hurricane Harvey to examine disaster impacts, including cumulative impacts, and disparate recovery processes associated with the current pandemic and additional coastal storms along the Gulf Coast. Findings will have implications for improved strategies for organizational survival and recovery, provide evidence that can be used for coordinated outreach and educational programs to support organizational planning and adaptation, and enable cross-case research.This study integrates theory and findings from the disaster recovery literature with a social vulnerability perspective. The research team will geographically and conceptually expand beyond previous surveys and interviews of for-profit and nonprofit organizations after Hurricane Harvey, collecting data on organizational performance during COVID-19 and Hurricane Laura in Beaumont, TX, Port Arthur, TX, and Lake Charles, LA. The study will test how social vulnerability factors affect organizational impacts, survival, and recovery, controlling for resources, organizational characteristics, damage, and adaptive actions. It will also examine how disparities in organizational recovery propagate through multiple events, controlling for resources, organizational characteristics, damage, and adaptive actions. The team is uniquely poised to collect data quickly as it has conducted pre-disaster survey and sample verification in Beaumont and Port Arthur, tested survey methodology and best practices for this region, and has administered a previous multi-hazard survey that can be tailored for this context. This research team will work to gather data quickly in order to minimize survivor bias (i.e., before some of the vulnerable organizations fail and therefore are not represented in the study sample). Results will be relevant to the literature on cumulative disaster impacts and adaptation, social vulnerability, and organizational continuity.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": "648", "attributes": { "award_id": "2039310", "title": "Multiphase Modelling and Experimental Characterization of Respiratory Microdroplet Suspension and Resuspension Dynamics Near Surfaces", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [], "program_officials": [ { "id": 1476, "first_name": "Ron", "last_name": "Joslin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-01-01", "end_date": "2023-12-31", "award_amount": 388132, "principal_investigator": { "id": 1478, "first_name": "Yaling", "last_name": "Liu", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 341, "ror": "https://ror.org/012afjb06", "name": "Lehigh University", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 1477, "first_name": "Anand", "last_name": "Jagota", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 341, "ror": "https://ror.org/012afjb06", "name": "Lehigh University", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true }, "abstract": "The main transmission routes for COVID-19 are respiratory droplets and close contact. Understanding environmental spreading pathways of COVID-19 is critical for improving safety practices. Although the flow physics of respiratory droplets at large length scales has been the focus of many studies, the microscale dynamics of the suspension behavior of individual respiratory droplets on common personal protective equipment (PPE) surfaces and the secondary exposure risk due to resuspension of those droplets have not been systematically evaluated. Initial studies show that environmental conditions such as humidity and temperature as well as surface properties, e.g. surface chemistry, roughness and wettability have significant effects on the evolution mechanism of aerosols and droplets. In particular, there is no comprehensive study on how temperature and humidity influence the aerodynamics and surface interaction of aerosols. The goal of this project is to provide fundamental understanding of the interaction between individual respiratory microdroplets and PPE surfaces under external disturbance such as body motion, through combined computational modeling and experiments. This research will help explore potential approaches that can be practiced by medical staff and general public to control motion, humidity, temperature, and surface modification that reduces aerosol-based virus spreading. The project will also incorporate research into education of undergraduate and graduate students in class, making a droplet-surface simulation tool to be made available to the research community, and outreach to K-12 and minority students.The goal of this project is to provide both a fundamental understanding of thermal-humidity-temporal microdroplet dynamics and a prediction tool for microdroplet surface interaction. The specific aims of the proposal work are to: (i) Develop a 3D multi-phase computational model for evaporation, transport, suspension, adhesion, and resuspension dynamics of respiratory droplet on various surfaces; (ii) Generate individual mimetic-virus laden respiratory microdroplets, with chemical composition and sizes similar to respiratory droplets, and investigate systematically the dynamics of the suspension and resuspension behavior of these droplets near various surfaces in a controlled environment; and (iii)\tExplore the effects of temperature, humidity, surface properties, and external disturbance on the suspension and resuspension behavior of droplets and suggest potential approaches for minimizing the aerosol spreading of virus. The integrated computational and experimental approach will create comprehensive understanding of the droplet-based virus transport and evolution as a function of humidity, temperature and surface characteristics.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": "647", "attributes": { "award_id": "2103284", "title": "Conference Support: Recruiting Students and Early Career Researchers as Participants in the Ninth NANO Conference 2020", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [], "program_officials": [ { "id": 1474, "first_name": "Nora", "last_name": "Savage", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-12-01", "end_date": "2021-11-30", "award_amount": 10000, "principal_investigator": { "id": 1475, "first_name": "Achintya N", "last_name": "Bezbaruah", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 340, "ror": "", "name": "North Dakota State University Fargo", "address": "", "city": "", "state": "ND", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 340, "ror": "", "name": "North Dakota State University Fargo", "address": "", "city": "", "state": "ND", "zip": "", "country": "United States", "approved": true }, "abstract": "Nanotechnology is increasingly finding uses in agriculture, medicine, energy, consumer products including electronics, environmental technologies, transportation products, and packaging. Nanotechnology deals with materials which are smaller than one-billionth of a meter at least in one dimension, and these materials are not necessarily benign in nature. There has been an effort by researchers and manufacturers to make nanomaterials sustainable with no or minimal impacts on the environment and its components. The 9th SNO Conference (November 12-13, 2020) will virtually bring together academicians, researchers, governmental workers, policy makers and the industry to discuss the gains so far and the opportunities and challenges in developing better and sustainable nanotechnology. Two leading organizations, Sustainable Nanotechnology Organization and the Nanotechnology, Occupational and Environmental Health Committee, are jointly organizing this conference for the open exchange of ideas and networking among people working in the areas of nano-based/nano-related devices and processes, green and advanced materials, education, regulations, epidemiology, fate and transport, medicine, health and safety, toxicology, risk assessment, agriculture, and water treatment. There will be a special session on the COVID-19 Pandemic focused on nano-scale phenomena of transmission and spread of the virus as well as its detection, capture, and inactivation. The aims of the conference are: (1) To provide a common platform for nanotechnology researchers for the open exchange of ideas to identify the next steps to make nanotechnology more sustainable; (2) To facilitate discussions on fundamental science and mechanisms to reduce the harmful impacts of nanotechnology on the ecosystem and (3) To create opportunities for networking among early-career researchers, young professionals, and students. The current project is aimed at recruiting early-career researchers, young professionals, and students from diverse backgrounds to the conference and encourage them to get more involved in sustainable nanotechnology related research and development, becoming the future leaders in sustainable nanotechnology. The 9th NANO Conference (November 12-13, 2020) will virtually bring together academicians, researchers, governmental workers, policy makers and the industry to discuss the gains so far and the opportunities and challenges in developing better and sustainable nanotechnology. The conference will play a unique role by focusing on sustainable nanotechnology. There are few forums which facilitate focused discussion on this topic. Sustainability of nanomaterials from the ecosystem perspective is the main focus of this conference. The conference will facilitate open dialogue on sustainable nanotechnology focused on the implications and applications. One of the major foci of the conference will be the risk assessment and mitigation strategies as new nanotechnology devices are developed. The special session on coronaviruses (100-200 nm in diameter) will focus on the spread and transmission pathways which involve nanoscale transport processes (e.g., diffusion, attachment onto droplets). The detection, capture, and inactivation of the viruses are heavily dependent on interfacial interactions at the nanoscale. The plenary and technical session presentations will highlight the latest developments and opportunities. The technical sessions on rapid nanosensing for viruses, epidemiology, fate and transport, and nanomedicines will complement the COVID-19 session. The session on nano agriculture will encompass the global agricultural scenario beyond the green revolution to make agriculture more efficient, resilient, and sustainable. The dedicated session on water treatment and remediation will cover emerging issues on detection and removal of emerging contaminants, disinfection byproducts, and pathogens. The nanotechnology related regulations and governance session will include state-of-the-art and future strategies. There will be sessions to discuss safe, responsible, and sustainable development and deployment of nano and advanced materials including nanomedicines. The poster session will offer interaction and networking opportunities to early-career researchers, young professionals, and students. In addition, there will be a NanoPitch Contest for students to help them develop the soft skill of presenting complex nanotechnology research to a general audience.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": "646", "attributes": { "award_id": "2050058", "title": "Facilitating Rapid and Actionable Responses to Social, Behavioral, and Economic-Related COVID Questions: The Societal Experts Action Network (SEAN)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [], "program_officials": [ { "id": 1472, "first_name": "Robert", "last_name": "O'Connor", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-10-31", "end_date": "2022-10-31", "award_amount": 996358, "principal_investigator": { "id": 1473, "first_name": "Emily", "last_name": "Backes", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 339, "ror": "https://ror.org/038mfx688", "name": "National Academy of Sciences", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 339, "ror": "https://ror.org/038mfx688", "name": "National Academy of Sciences", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true }, "abstract": "The COVID-19 pandemic has disrupted nearly every aspect of life across the globe. As decision makers at the federal, state, and local level respond, they are grappling with numerous complex scientific questions. Many of these questions are grounded in the social, behavioral, and economic (SBE) sciences. Questions such as:• What strategies are most likely to restart economic growth in critically important sectors that were heavily affected by COVID-19?• How can governments more effectively encourage use of masks and other strategies to reduce disease transmission?• What recent knowledge will allow public and private sector educational entities to improve on-line learning outcomes?The Division of Behavioral and Social Sciences and Education at the National Academies of Sciences, Engineering, and Medicine, in collaboration with the National Science Foundation, continues the work of the Societal Experts Action Network (SEAN) which was established during the summer 2020 in response to the COVID pandemic. SEAN products are designed to provide actionable responses to urgent policy questions asked by federal, state, and local decision makers. SEAN is unique in its focus on rapid, readable, and research-based insights in response to questions on issues such as the reopening of businesses and economic growth, the education of children, the mental health and resilience of our communities, and many more. The resulting products are made publicly available and widely disseminated, which benefits not only the requesting official, but a broad range of decision makers and the public. The value of SBE sciences in addressing problems of national importance is shared with an expansive audience, thus contributing to our nation’s overarching understanding of how best to deploy SBE knowledge in pandemic and other crisis situations.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": "645", "attributes": { "award_id": "2102905", "title": "RAPID: Partisanship, Trust, and Vaccine Hesitancy: Impacts of the 2020 Election on COVID-19 Risk Management", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [], "program_officials": [ { "id": 1466, "first_name": "Robert", "last_name": "O'Connor", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-11-15", "end_date": "2022-10-31", "award_amount": 198846, "principal_investigator": { "id": 1471, "first_name": "Rob A", "last_name": "DeLeo", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 338, "ror": "https://ror.org/01px48m89", "name": "Bentley University", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 1467, "first_name": "Katherine L", "last_name": "Dickinson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 1468, "first_name": "Jennifer D", "last_name": "Roberts", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 1469, "first_name": "Elizabeth", "last_name": "Koebele", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 1470, "first_name": "Lindsay", "last_name": "Neuberger", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 338, "ror": "https://ror.org/01px48m89", "name": "Bentley University", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "The United States is on the verge of two potentially watershed moments in the fight against COVID-19. First, COVID-19 vaccines are being tested in clinical trials, suggesting widespread distribution as early as spring 2021. Vaccination is widely considered one of the most critical public health interventions for curbing the spread of COVID-19, which has already claimed more than 220,000 American lives. At the same time, the 2020 U.S. presidential election is likely to have a significant impact on vaccine uptake given the hyper-politicization of both the pandemic and vaccines broadly. All of this is occurring against the backdrop of heightened attention to structural racism, which has identified significant disparities in COVID-19 impacts across racial groups. The confluence of these events will have profound implications for the long-term trajectory of the COVID-19 pandemic in the U.S., as well as for the public’s perceptions of vaccine risk and government trustworthiness. Based on data collected through a multi-wave national survey of U.S. residents, this project explores the impact of factors such as partisanship, risk perceptions related to vaccines, and other exogenous—and often unpredictable—events on intended uptake of the COVID-19 vaccine. The results of this study advances key theories of risk management, information seeking, and the policy process in the context of novel risks. The research also provides timely and usable information to public health officials about the design of equitable policies and practices for bridging the gap between vaccine availability and uptake.In the context of COVID-19, the period between the 2020 U.S. election and the expected approval of a COVID-19 vaccine provides an opportunity to assess how exogenous events in the political and information environment shape individuals’ vaccine-related perceptions and behaviors. Using a three-wave panel survey distributed to a demographically-representative national sample of U.S. residents, this study captures changes in risk perceptions and behavioral intentions, as well as in factors such as partisanship, trust in institutions, and structural racism that may influence vaccine uptake. The first wave of data collection (T1) is immediately following the announcement of 2020 election results. Because presidential elections tend to magnify polarization while garnering enormous media attention, this timing represents a critical moment to capture initial data for the project. Subsequent survey waves are approximately February 2021 (T2) and April 2021 (T3) as vaccine development advances. This research produces findings that promote a more robust understanding of the process through which individual risk perceptions evolve across time and interact with social and political factors to influence behavior.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": "644", "attributes": { "award_id": "2055251", "title": "RAPID: Flexible, Efficient, and Available Bayesian Computation for Epidemic Models", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)" ], "program_reference_codes": [], "program_officials": [ { "id": 1464, "first_name": "Katharina", "last_name": "Dittmar", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-11-15", "end_date": "2021-10-31", "award_amount": 187014, "principal_investigator": { "id": 1465, "first_name": "Andrew E", "last_name": "Gelman", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 196, "ror": "https://ror.org/00hj8s172", "name": "Columbia University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 196, "ror": "https://ror.org/00hj8s172", "name": "Columbia University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "Decisions about coronavirus response are necessarily based on statistical models of prevalence, transmission risks, case fatality rate, projection of future spread of infection, and estimated effects of medical and social interventions. Much of this modeling and inference is being done using the Bayesian framework, an approach to statistics that is well suited to integration of information from different sources and accounting for uncertainty in predictions that can be input into decision analysis. This is a project to develop computing tools to make Bayesian methods more accessible to researchers in quantitative social science and public health who are studying COVID-19 and epidemic models more generally. This work promises to advance scientific knowledge by enabling researchers to fit more flexible and realistic models accounting for multiple sources of uncertainty in data, and to advance societal goals by facilitating more accurate and granular estimates of exposure, reproduction rate, and other aspects of epidemic spread that inform public and private decision making. This project also provides professional development opportunities for a post-doctoral researcher, as well as student training.The research will be done in the open-source programming language Stan, which has already been used in several influential COVID-19 models as well as in economics, political science, biology, political science, and many other application areas. Specifically, the project includes: documentation and language features to make Stan programs easier to write and evaluate; continuation and extensions of existing collaborations on mathematical models for epidemic spread, causal models for estimating policy effects, and survey adjustment; and improved implementations for differential-equation models, which serve as the core of models for disease transmission and other diffusive social and biological processes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 1392, "pages": 1424, "count": 14236 } } }