Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1418&sort=-id
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Since its inception in 2007, MPOWIR has made substantial contributions to decreasing the attrition of women+ physical oceanographers. However, MPOWIR’s work is far from being done. Shifting demographics, the impact of COVID-19 on the careers of women+, and longstanding structural inequities remain challenges to retention. This project would sustain and enhance MPOWIR for another 4 years. It seeks to improve retention through a series of interrelated objectives that include: (1) providing continuity of mentoring from a woman’s+ career transition from graduate school to postdoctoral years to the early years of her permanent job, (2) providing mentorship training to MPOWIR participants, (3) fostering a sense of community in physical oceanography, (4) broadening participation in MPOWIR by providing training and professional development opportunities to all those who self-identify as physical oceanographers, and (5) engaging a cross-section of stakeholders to develop a shared vision for the next decade of MPOWIR. To meet the needs and expectations of its stakeholders, MPOWIR aims to enhance its design by incorporating a few new initiatives to provide additional professional development opportunities and support to the community of mentors and peers that MPOWIR has helped build over the past 16 years, and lead to improvement in the overall culture of the physical oceanography community.Specifically, this funding supports the following MPOWIR activities:1. Pattullo Conference held biannually, brings ~25 junior women+ physical oceanographers together with 12 senior physical oceanographers of all genders for a 2.5 day meeting focused on discipline-based mentoring.2. Mentoring groups of ~6 junior and 2 senior women+ physical oceanographers meet for a monthly teleconference, for the purpose of confidential, personalized mentoring.3. MPOWIR website serves as a repository of resources for mentoring and physical oceanography careers.4. MPOWIR webinars and virtual discussions held semi-annually, focus on topics of particular interest to those in the early stages of a physical oceanographer’s first position, provide continued support for previous participants, expand gender neutral participation, and connect to the broader scientific community.5. Townhalls held at large conferences, such as the Ocean Sciences Meeting, provide a forum for dissemination of information and communication with the whole oceanographic community.6. Databases and surveys are conducted to assess the effectiveness of MPOWIR activities, determine community mentoring needs, and evaluate progress in retention.7. NEW - Mentorship training for mentors and mentees who participate in MPOWIR.8. NEW - Virtual Professional Development Conference held in the intervening years between Pattullo conferences with the aim of broadening participation, expanding training, and networking opportunities.9. NEW - External program evaluation and strategic planning to assess the impact of MPOWIR and establish a shared vision with the oceanographic community for the next decade of the program.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": "340", "attributes": { "award_id": "2141798", "title": "A New Generation of Broadly Accessible Remote Engineering Laboratories", "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": 604, "first_name": "Eric", "last_name": "Sheppard", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-04-01", "end_date": "2024-03-31", "award_amount": 598388, "principal_investigator": { "id": 607, "first_name": "Rania", "last_name": "Hussein", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 159, "ror": "https://ror.org/00cvxb145", "name": "University of Washington", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 605, "first_name": "Denise", "last_name": "Wilson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 606, "first_name": "Payman", "last_name": "Arabshahi", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 159, "ror": "https://ror.org/00cvxb145", "name": "University of Washington", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true }, "abstract": "This project aims to serve the national interest by establishing a new generation of remote engineering labs that support underserved communities and schools with limited resources. Lessons learned during the COVID-19 crisis have helped educators rethink teaching practices that are sustainable and safe after the pandemic era. Offering hands-on engineering labs in off-campus settings has presented significant challenges to educators. By taking advantage of advances in cloud computing, implementing a remote hardware laboratory will allow students to experience a full-fledged remote experience without compromising what they could have learned and accomplished if they were physically present in the lab. This project will advance the potential of using remote laboratories for electrical and computer engineering students in embedded computing and wireless communications courses. The proposed work is expected to allow educators and institutions to rethink the delivery of hands-on engineering labs via a cost-effective, broadly accessible, and equitable solution. The complete remote lab solution, including hardware and software, has significance to underprivileged universities and K-12 education.The project’s goal is to develop a remote computing and wireless communication laboratory based on field programmable gate arrays (FPGAs) and software defined radio (SDR) platforms; provide a full technical evaluation of remote solutions; and perform a comprehensive assessment of student learning and engagement in remote settings for these engineering technologies. The scope of the work is scalable, and the open-source hardware and software toolkit that will be developed can be deployed at other institutions, as well as K-12 and underserved community settings, to provide access to industry-grade hardware to all students. The sustainability plan includes a scalable solution that allows universities to pool their individual remote labs together to further increase access and decrease equipment costs and foster further collaboration among institutions by sharing resources and pedagogical content. The open-source remote labs will be disseminated via a highly modular repository (GitHub), and partnerships between schools will be encouraged to improve course materials, perform version control, pull requests, provide issue tracking, and use the course materials at their universities. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.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": "339", "attributes": { "award_id": "2222940", "title": "I-Corps: Comprehensive tool to capture spatio-temporal variations in social media health risk communication for COVID-19 and other health risks", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)" ], "program_reference_codes": [], "program_officials": [ { "id": 602, "first_name": "Ruth", "last_name": "Shuman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-01-15", "end_date": "2023-06-30", "award_amount": 16014, "principal_investigator": { "id": 603, "first_name": "Arif Mohaimin", "last_name": "Sadri", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 157, "ror": "", "name": "University of Oklahoma Norman Campus", "address": "", "city": "", "state": "OK", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this I-Corps project is the development of a software platform that may be integrated into crisis management systems such as public health (WHO, CDC), emergency management (FEMA), and transportation (DOT) agencies to facilitate the transmission of correct information and provide the option to notify social media providers of identified misinformation. It is becoming increasingly important for government agencies, policy makers, and emergency management officials to be capable of addressing major crisis scenarios under acute time and resource constraints. Using social media platforms more efficiently would be a critical step towards this vision. For example, such communications platforms could to be leveraged to better communicate the COVID-19 risk. The goal of this project is to understand and validate the need for this capability in civilian or emergency management agencies, and federal, state, or city level government agencies. The proposed technology also may be useful in other natural and man-made disaster contexts in which public health risks become major concerns.This I-Corps project is based on the development of a comprehensive tool to capture spatio-temporal variations in social media health risk communication (i.e., information or misinformation) at different scales. The project will also integrate data-driven methods for user-friendly predictive analytics and infographics to anticipate citizen needs and crisis responses. The proposed tool will be grounded on state-of-the-art network science, social science, and data science theories and concepts. Using the Application Programming Interface (API) of publicly available social media platforms such as Twitter, large-scale crisis communication data has been collected in the emergence and outbreak of the novel coronavirus. These data may serve as proof-of-concept for the ability to develop and operate publicly-available, novel social sharing platforms to automatically and passively detect and control information tipping points to facilitate better response in pandemics and other societal emergencies. As such, the proposed approach will provide holistic support to detect information overload, turnover, user reaction, and response in socio-technical systems during a major crisis.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": "338", "attributes": { "award_id": "2223843", "title": "RAPID: Statistical inference of incidence of SARS-CoV-2 in the US using multiple data streams to identify levels of immunity and the impact of non-pharmaceutical interventions", "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": 599, "first_name": "Samuel", "last_name": "Scheiner", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-04-01", "end_date": "2023-03-31", "award_amount": 200000, "principal_investigator": { "id": 601, "first_name": "Derek A", "last_name": "Cummings", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 158, "ror": "https://ror.org/02y3ad647", "name": "University of Florida", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 600, "first_name": "Matthew D", "last_name": "Hitchings", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 158, "ror": "https://ror.org/02y3ad647", "name": "University of Florida", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true }, "abstract": "The goal of this study is to integrate multiple, independent data sources to estimate the rate of SARS-CoV-2 infections across the US over time. Population-based SARS-CoV-2 serological assays are critical for understanding cumulative incidence and population-level immunity. The US CDC, in partnership with a number of laboratories, has conducted nationwide serosurveys which can help retrospectively assess the cumulative number of total infections. However, data from these surveys may be difficult to interpret due to heterogeneity in antibody response across individuals, by assay, and over time since infection. Reconciling patterns observed in seroprevalence with other data sources including reported COVID-19 cases and deaths can explain variation in seroprevalence across space and time in the US CDC. In addition, the project will estimate the proportion of the population with recent immunizing events (infection or vaccination) to understand the immunity landscape prior to the Omicron-variant-driven wave in 2021-2022 in the US. The project will develop tools to jointly analyze serology, caseand death data, and contribute to the training of a post-doctoral scholar.The primary objective in this study is to integrate multiple independent data streams using statistical and mechanistic models to estimate the rate of seroreversion in assays used in serosurveys across the US, and estimate seroprevalence and cumulative incidence over time by state. The model will provide information about SARS-CoV-2 transmission from case, hospitalization and death data by taking a multi-objective approach and adapting fast inference techniques that we have developed. Methods such as these have been applied to state-leveldata on COVID-19 incidence, including by this group. This project was funded in collaboration with the CDC to support rapid-response research projects to further advance federal infectious disease modeling capabilities.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": "337", "attributes": { "award_id": "2219618", "title": "RAPID: #COVID-19: Understanding Community Response in the Emergence and Spread of Novel Coronavirus through Health Risk Communications in Socio-Technical Systems", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)" ], "program_reference_codes": [], "program_officials": [ { "id": 597, "first_name": "Amarda", "last_name": "Shehu", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-02-01", "end_date": "2023-04-30", "award_amount": 908, "principal_investigator": { "id": 598, "first_name": "Arif Mohaimin", "last_name": "Sadri", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 157, "ror": "", "name": "University of Oklahoma Norman Campus", "address": "", "city": "", "state": "OK", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 157, "ror": "", "name": "University of Oklahoma Norman Campus", "address": "", "city": "", "state": "OK", "zip": "", "country": "United States", "approved": true }, "abstract": "Risk perception and risk averting behaviors of vulnerable communities in the emergence and spread of COVID-19 are spatio-temporal functions of individual or group interactions with their online social neighbors within or outside their communities and such interactions need to be captured through diverse information channels (e.g. traditional outlets such as radio, television, internet and/or non-traditional outlets such as social media). The primary goal of this Rapid Response Research (RAPID) project is to collect time-sensitive online social media and crowd-sourced data and analyze patterns of health-risk communication and community response in the emergence and spread of novel Coronavirus using data-driven methods and network science theories. The major focus will be towards understanding how individuals are socially influenced online, while communicating risk and interacting in their respective communities as the disease continues to spread. The notion of influence will be captured by quantifying the network effects on such communication behavior and characterizing how information is exchanged among people who are socially connected online and exposed to health risk in such outbreaks of disease. Given that communities responded to COVID-19 with limited or no preparation and there is uncertainty in the length of recovery for the communities already affected while new communities being threatened, the data collection effort requires rapid response for better coverage and careful monitoring. The data will include large-scale ephemeral online interactions of people in the affected communities and public officials who are involved in COVID-19 response, recovery, and mitigation efforts, followed by a data-driven network analytics and infographics of COVID-19 risk communication strategies and risk averting behaviors adopted. The proposed research will not only expand the knowledge base of spatio-temporal dynamics of risk perception and dissemination strategies in the emergence and aftermath of a major disease outbreak, but will also result in data-driven inference techniques to improve our understanding of how people express diverse concerns and how to harness and embed such information for designing intervention measures. The methodologies and findings of this rapid response research will benefit emergency management and public health agencies to define targeted information dissemination policies for public with diverse needs based on how people reacted to COVID-19 and their social network characteristics, activities, and interactions in response to similar public health hazards.Public engagement in risk communication can lead to more effective decision-making and enhanced public feedback to the regulatory process. The primary goal of this RAPID project is to mine and analyze large-scale time-sensitive perishable crowd-sourced and social media data (rich spatio-temporal data) and reveal patterns of health-risk communication and community response in the emergence and spread of novel Coronavirus using data-driven methods and network science theories. The specific aims are threefold: (1) to document how public interact and communicate health risk information through their online social networks during a major disease outbreak; (2) to authenticate data from multiple sources and detect anomalies to avoid information overload and spread of misinformation; and (3) to examine how online social networks influence protective actions (e.g., social distancing, self-quarantine decisions) i.e. information cascades in health risk communication. To achieve the goal and aims, the project will utilize ephemeral time and geo-tagged social media interactions of users, agencies, news sources supplemented with crowd-sourced information on COVID-19. This study will have five theoretical and methodological contributions to the literature. It will: (1) advance our understanding of how individuals are socially influenced online, while communicating health risks and interacting in their respective communities as the disease continues to spread; (2) inform the literature on how information is exchanged among people who are socially connected online and exposed to health risk in such outbreaks of disease; (3) use novel machine-learning and network science models to quantify influence and network effects on such communication behavior; (4) capture the variability in network composition, risk communication strategies and risk averting behaviors adopted based on spatio-temporal correlations of risk and disease contagion; (5) ensure authenticity of the collected data from multiple sources and develop more accurate fully-distributed computational algorithms tailored to health risk anomaly detection in socio-technical systems. The findings from this research will be useful to public health and emergency management agencies for tailoring effective information dissemination policies for diverse user groups based on their social network characteristics, activities, and interactions in response to similar public health hazards. The methodologies, and implications of this research can be transferred in designing effective intervention policies to other natural and man-made disaster contexts in which public health risks become major concerns. The project will engage, mentor, and offer an innovative active learning environment for K-12, undergraduate, and graduate students by giving priority to disadvantaged and underrepresented communities in USA. The project will train students on computational skills required for collecting, storing, processing, analyzing and modeling large-scale data using high performance computational resources.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": "336", "attributes": { "award_id": "2145479", "title": "CAREER: Discourse Processing and Content Generation for Document Simplification", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)" ], "program_reference_codes": [], "program_officials": [ { "id": 595, "first_name": "Tatiana", "last_name": "Korelsky", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-01", "end_date": "2027-08-31", "award_amount": 110797, "principal_investigator": { "id": 596, "first_name": "Junyi", "last_name": "Li", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "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).Simplification is the process of making a text more accessible to a target audience, e.g., language learners, children, and individuals with language impairments, while preserving its meaning and content. The lack of accessible material can exacerbate social issues, for example, the complexity of language used in college admission and financial aid applications has contributed to the lagging access to higher education among emergent bilingual students; the WHO has recognized the urgency of accessible technical information, given the rise of medical misinformation especially in the wake of the COVID-19 pandemic. While there has been much work on sentence simplification, very few datasets are large enough to train supervised models; simplifying a document also involves different operations from those at the sentence level, including content addition, and how sentences connect with each other. This project aims to develop new resources and data-driven approaches for document simplification, with the potential to address information transparency and fair access across a range of high-stake domains. This project will also support the education and training of a diverse body of undergraduate and graduate students across disciplines.To substantially advance document simplification, this CAREER project will tackle several key issues in existing simplification work, including corpora diversity, explanation generation, and document-level approaches. This is achieved by the following research activities: (1) introducing new corpora that tackle the pressing challenge of data diversity in simplification research and enable new application scenarios, especially in the accessibility of technical and jargon-laden texts; (2) tackling content addition and elaboration during simplification---a previously little-explored challenge, and propose a novel, linguistically-informed framework that characterizes and generates elaborations; (3) develop models for document simplification that are informed by structures of discourse, using both coherence structure and entity salience. The innovative ways to integrate discourse target a larger challenge for models to take stretches of discourse into account.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": "335", "attributes": { "award_id": "2202150", "title": "Expanding the Cell Science and Immunological Testing Workforce by Developing a Diverse and Inclusive Credentialed Biotechnology Program", "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": 592, "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": "2022-07-01", "end_date": "2025-06-30", "award_amount": 348925, "principal_investigator": { "id": 594, "first_name": "Andria P", "last_name": "Denmon", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 155, "ror": "https://ror.org/01cntdd82", "name": "Santa Monica College", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 593, "first_name": "Thomas", "last_name": "Chen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 155, "ror": "https://ror.org/01cntdd82", "name": "Santa Monica College", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The life sciences/biotechnology sector has continued to remain resilient during the COVID-19 pandemic, with the Los Angeles region generating $60.8 billion in economic activity in 2020 and hosting more than 1,000 life science innovation companies. It is projected that 16,000 regional technical jobs will be added to this rapidly growing sector within the next three years. The acceleration of the widening supply-and-demand gap, along with the growing awareness that community colleges produce competitive and highly skilled technicians, emphasizes the necessity to develop projects that focus on life sciences/biotechnology technician education to prepare students to become the next generation of highly skilled workers in this dynamic sector. Therefore, this project focusing on Cell Science and Immunological Testing will recruit and train 30 students from diverse and traditionally untapped pools of talent, including system impacted and justice involved students, resulting in 30 industry internship matches and award up to 60 certificates that are part of a career education pathway consisting of two stackable certificates. The project will align academic offerings with industry needs based on the input from an advisory council. Students will be trained in a curriculum that focuses on essential knowledge, state-of-the-art technical skills, and industry-required soft skills. Students will also receive an introduction to nanobiotechnology concepts and their applications in the cell science/gene therapy and immunological testing industries.In this project, Santa Monica College (SMC) will: 1) produce two stackable certificates that will enable students to successfully enter the rapidly growing life sciences/biotechnology industries in the greater Los Angeles region, 2) expand outreach, recruitment, and retention efforts to students from traditionally untapped pools of talent and communities, and 3) grow a diverse and talented workforce while reducing the training, mentorship, and employment equity gaps often associated with the life science/biotechnology industry. Students benefiting from this project will complete 22 units (5 courses) to earn their first stackable certificate and can opt to complete 15 additional units (4 courses) to obtain a second certificate. Regardless of their academic pathway, all participating students will receive an industry appointed mentor and complete an internship. The scope of this project also aims to inform 40 SMC students from special counseling programs, 150 pre-college educators, and four full-time SMC career and academic counselors about the biotechnology industry through planned outreach activities. Finally, mobile biotechnology exploration days will provide 210 pre-college students who are justice-involved or from low-income communities with hands-on activities, information about this project, and employment opportunities available to them in the life sciences/biotechnology sector. The results generated from this project will be disseminated through regional and national conferences, NSF ATE Center platforms, and the California Community College network. This project is funded by the Advanced Technological Education program that focuses on the education of technicians for the advanced-technology fields that drive the Nation's economy.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": "334", "attributes": { "award_id": "2150154", "title": "REU Site for Oregon Marine Science: From Upper Estuaries to the Deep Sea", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)" ], "program_reference_codes": [], "program_officials": [ { "id": 590, "first_name": "Elizabeth", "last_name": "Rom", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-05-01", "end_date": "2025-04-30", "award_amount": 264769, "principal_investigator": { "id": 591, "first_name": "Itchung S", "last_name": "Cheung", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 154, "ror": "https://ror.org/00ysfqy60", "name": "Oregon State University", "address": "", "city": "", "state": "OR", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 154, "ror": "https://ror.org/00ysfqy60", "name": "Oregon State University", "address": "", "city": "", "state": "OR", "zip": "", "country": "United States", "approved": true }, "abstract": "Oregon State University’s (OSU) will host the Research Experience for Undergraduates (REU) Site called “From the Upper Estuaries to the Deep Sea” at the Hatfield Marine Science Center (HMSC) campus in Newport, Oregon. The REU program directly involves undergraduates in all aspects of marine science research from project inception to data collection, analysis, and interpretation, to presentation and publication of research results to both scientific and general audiences. HMSC will support cohorts of 16 interns, 10 traditional onsite and 6 new positions for remote-hybrid interns during a ten-week summer program that takes advantage of the wide range of marine science research opportunities available at HMSC and the experience successfully supporting remote and remote-hybrid interns during the Covid-19 pandemic. The goal is to develop an active inclusive community of students engaged in the interdisciplinary nature of marine science as a collective educational experience. Major objectives of the REU program are to: 1) provide students an opportunity for the highest quality research experience in marine science and an understanding of its interdisciplinary nature; 2) provide students with a professional development training opportunity and exposure to a wide range of marine science pathways leading to STEM careers; 3) increase participation in and access to marine sciences for traditionally under-represented students and nontraditional students through targeted recruitment efforts at regional community colleges and non-research universities serving underrepresented groups; and 4) adapt and learn from the successful support of a virtual cohort research experience during COVID-19 in summer of 2020 and 2021. Students will pursue research projects that fall within three major themes: Theme 1: Biology and Ecology of Marine and Estuarine Organisms; Theme 2: Ocean and Estuarine Ecology and Biogeochemistry; Theme 3: Physics of Estuarine and Ocean Environments: including projects in physical oceanography and estuarine science.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": "333", "attributes": { "award_id": "2151970", "title": "Forced Displacement and Community Resilience: Housing Insecurity under COVID-19 in Inland Southern California", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [], "program_officials": [ { "id": 587, "first_name": "Daan", "last_name": "Liang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-07-01", "end_date": "2025-06-30", "award_amount": 336050, "principal_investigator": { "id": 589, "first_name": "Qingfang", "last_name": "Wang", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 153, "ror": "", "name": "University of California-Riverside", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 588, "first_name": "Wei", "last_name": "Kang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 153, "ror": "", "name": "University of California-Riverside", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The unique nature of the COVID-19 pandemic created a disaster situation that highlights the importance of stable housing, particularly as recent evidence suggests that eviction increased the risk of COVID-19 infection and mortality. This study will improve knowledge of processes and consequences of evictions before and after the COVID-19 pandemic in Inland Southern California. The first goal is to analyze the demographic and socioeconomic profile of renters who recently experienced an eviction, as well as the relocation process and outcome. The second goal is to analyze how community resilience and neighborhood change, such as neighborhoods that are gentrifying or becoming more impoverished, are tied to outcomes for renters. The third goal is to evaluate whether and how these outcomes are changed by the pandemic. This study will advance our understanding of involuntary residential choices under an external shock like a pandemic. It contributes to resilience scholarship and helps us understand why the root cause of socioeconomic disadvantage is the primary source of vulnerability under disastrous events, and how housing security interacts with community resilience. As eviction is linked to social, economic, and health disparities, and urban poverty, effective eviction-prevention initiatives could go a long way toward addressing these enduring problems. This study provides evidence for policy interventions designed to address eviction and stem its consequences. It will also provide significant implications for practice and policy in housing markets and social welfare to alleviate social and spatial divides by race, ethnicity, and class that have been exacerbated by the pandemic disruption. This study investigates formal and informal eviction and neighborhood change before and after the COVID-19 pandemic in Inland Southern California using a multiscalar, comparative, and mixed-methods framework. Using both public and restrictive datasets, this study will model the prevalence of eviction and the threat of it at both the household and neighborhood levels. As residential mobility shapes the future life course of evicted households and neighborhood dynamics, the team will model the residential choice of evicted renters and neighborhood dynamics. Further, the project conducts in-depth interviews with tenants, landlords, real estate agents and housing developers, non-profit organizations, and government officials to examine the pathways through which individual characteristics, neighborhood environment, and institutional forces contribute to eviction. The multiscalar, mixed-methods and comparative framework will advance knowledge on the process of eviction at the household level, as well as neighborhood dynamics, policy interventions, power relations, and the coping process of local communities during a pandemic-like disruption. Findings from this study will not only directly benefit policymaking and practice in this region, but also contribute to knowledge in the field for national audiences.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": "332", "attributes": { "award_id": "2214168", "title": "RAPID: The Impact of COVID on Childrens Well-being in 2022: Continued Evidence from the Understanding America Study", "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": 584, "first_name": "Robert", "last_name": "Ochsendorf", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-03-15", "end_date": "2023-02-28", "award_amount": 200000, "principal_investigator": { "id": 586, "first_name": "Anna R", "last_name": "Saavedra", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": "['Inquiry-based instruction']", "approved": true, "websites": "['https://cesr.usc.edu/people/staff/asaavedr', 'https://uasdata.usc.edu/index.php']", "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 585, "first_name": "Morgan", "last_name": "Polikoff", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The COVID-19 pandemic has been a tremendous disruption to the education of U.S. students and their families, and evidence suggests that this disruption has been unequally felt across households by income and race/ethnicity. While other ongoing data collection efforts focus on understanding this disruption from the perspective of students or educators, less is known about the impact of COVID-19 on children’s prek-12 educational experiences as reported by their parents, especially in STEM subjects. This study will build upon the team's prior research from early in the pandemic. Researchers will continue to collect data from families and aims to understand parents’ perspectives on the educational impacts of COVID-19 by leveraging a nationally representative, longitudinal study, the Understanding America Study (UAS). The study will track educational experiences during the Spring and Summer of 2022 and into the 2022-23 school year. The team will analyze student and family overall and for key demographic groups of interest as schooling during the pandemic continues. This RAPID project allows critically important data to continue to be collected and contribute to continued understanding of the impacts of and responses to the pandemic by American families.Since March of 2020, the UAS has been tracking the educational impacts of COVID-19 for a nationally representative sample of approximately 1,400 households with preK-12 children. Early results focused on quantifying the digital divide and documenting the receipt of important educational services--like free meals and special education services--after COVID-19 began. This project will support the continued targeted administration of UAS questions to parents about students’ learning experiences and engagement, overall and in STEM subjects. The team will conduct data analysis and disseminate findings and results to key stakeholder groups. Findings will be reported overall and across key demographic groups including ethnicity, disability, urbanicity, and socioeconomic status. This project will also produce targeted research briefs addressing pressing policy questions aimed at supporting intervention strategies in states, districts, and schools moving forward. All cross-sectional and longitudinal UAS data files will be publicly available shortly after conclusion of administration so that other researchers can explore the correlates of, and outcomes associated with, COVID-19.This RAPID award is made by the DRK-12 program in the Division of Research on Learning. The Discovery Research PreK-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics by preK-12 students and teachers, through the research and development of new innovations and approaches. Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for the projects.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": 1418, "pages": 1419, "count": 14184 } } }