Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1393&sort=-keywords
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At the Harvard Forest, the Field Wireless Network extends the university computer network into the research forest where there is little or no cell phone reception. Since 2010 the Field Wireless has supported a wide range of research projects with investigators from many different institutions, resulting in (as of March 2021) 27 datasets publicly available online and 291 related scientific publications. Many of these projects are long-term experiments associated with the LTER and AmeriFlux networks; others are short-term projects by researchers drawn to the Forest because of its infrastructure and long-term data. The Field Wireless enables scientists to monitor and control their equipment and collect data remotely, reducing travel costs and loss of data from problems that would otherwise have gone undetected since the last in-person visit. In recent years, and especially after the onset of the pandemic, the Field Wireless has supported virtual field trips and remote instruction, broadening the audience and geographic reach of the Forest’s education and outreach efforts. This project will greatly improve the performance of the Field Wireless by significantly increasing network bandwidth and the number of sites with Wi-Fi capability. These improvements will enable exciting new possibilities for research, including data collection from more extensive sensor arrays, video streaming, and near-real-time ecological forecasting. They will also expand the number and diversity of field sites available for remote instruction, especially benefiting groups that are underrepresented in the sciences and often unable to visit the Forest in person due to distance, cost, or physical accessibility. Virtual field trips and remote learning via the Field Wireless will remain a major means for a reaching a broader audience long after the pandemic has receded.\n\nThis project will expand and revitalize the Harvard Forest Field Wireless Network, which was commissioned in 2010 with support from NSF, DOE, and Harvard University and is jointly managed by the Forest and Harvard Network Operations. The Field Wireless currently provides Internet access to field sites spread across the 375-ha Prospect Hill Tract, including 10 major sites with a walk-in equipment shed, 24-port network switch, and wireless access point (AP), and 10 minor sites with an instrument enclosure and data logger or phenology camera. Sites are connected by carrier-grade unlicensed spread-spectrum radios: 5.8 GHz radios for tower-to-tower communications with unobstructed line of sight and 900 MHz radios for tower-to-ground communications through the forest canopy. Network bandwidth is limited by the radios and ranges from 2 to 5 Mbps, depending on the site. A dedicated virtual private network (VPN) allows researchers to access their equipment remotely when not at the Forest. This project will retain the basic design of the Field Wireless but greatly improve its performance by (1) replacing the current radios (which are no longer available) with new radios at least an order of magnitude faster, (2) adding two new experimental sites, (3) adding Wi-Fi capability at nine sites that currently lack it, and (4) augmenting Wi-Fi at four sites that are regularly used for education and outreach. The resulting increase in network bandwidth and Wi-Fi availability will significantly improve support for data-intensive research projects, virtual field trips, and remote instruction; by improving communications, it will also enhance safety for students and scientists working in the Prospect Hill Tract of the Harvard Forest (https://harvardforest.fas.harvard.edu).\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": "10180", "attributes": { "award_id": "2124433", "title": "ATD: Collaborative Research: Multi-task, Multi-Scale Point Processes for Modeling Infectious Disease Threats", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "ATD-Algorithms for Threat Dete" ], "program_reference_codes": [], "program_officials": [ { "id": 1114, "first_name": "Leland", "last_name": "Jameson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-09-01", "end_date": "2024-08-31", "award_amount": 149930, "principal_investigator": { "id": 26111, "first_name": "Frederic", "last_name": "Schoenberg", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 151, "ror": "", "name": "University of California-Los Angeles", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "This project develops new point-process based algorithms for modeling and forecasting event-level infectious disease data, such as when an epidemic is emerging, near elimination, or for contact tracing. The methods developed through the project have applications to source detection of super-spreader events, identification of case importation trends, and providing better risk assessments of emerging epidemics and future pandemics. The methods developed through the project also have applications beyond epidemiology where point processes are used, including social media, seismology, and criminology. The project will train two PhD students in statistics and computer science. This project will support one graduate student per year at each university for each of the three years of the grant. \n\nThis project develops new point-process based algorithms for solving four important tasks that arise in modeling infectious disease threats over a range of temporal and spatial scales: 1) incorporating realistic transmission and reporting mechanisms, 2) link prediction in the transmission graph connecting separate geographic regions under surveillance, 3) source detection of the spatial-temporal and network locations of super-spreader events, and 4) modeling emerging disease epidemics over timescales of decades and spatial scales of the globe. Expectation maximization algorithms are derived to infer a probabilistic branching structure that can be used for contact tracing and source detection. Multivariate Hawkes processes are formulated to infer cross-transmission across separate geographic regions, where new theory and methods are needed to handle reproduction above the critical threshold of 1. Point process analogs to compartmental models are developed through the project that can incorporate realistic transmission and under-reporting mechanisms (e.g. exposure period, asymptomatic cases) to improve forecasts and prevalence estimation. Finally, this project develops models of emerging epidemic events for determining the separability of disease parameters vs. space and time and assessing the risk that an outbreak will become a pandemic.\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": "10181", "attributes": { "award_id": "2125196", "title": "SCC-PG: Online Role-Playing Games for Improving Multi-Stakeholder Collaboration in Concurrent Disaster Response Planning", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "S&CC: Smart & Connected Commun" ], "program_reference_codes": [], "program_officials": [ { "id": 915, "first_name": "Michal", "last_name": "Ziv-El", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-10-01", "end_date": "2023-05-31", "award_amount": 149247, "principal_investigator": { "id": 26116, "first_name": "Divya", "last_name": "Chandrasekhar", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 26112, "first_name": "John D", "last_name": "Horel", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 26113, "first_name": "Robert M", "last_name": "Young", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 26114, "first_name": "Masood", "last_name": "Parvania", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 26115, "first_name": "Ivis Garcia", "last_name": "Zambrana", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 202, "ror": "https://ror.org/03r0ha626", "name": "University of Utah", "address": "", "city": "", "state": "UT", "zip": "", "country": "United States", "approved": true }, "abstract": "Effective community-level post-disaster response and recovery requires that actions of all stakeholders involved in response be coordinated. But existing approaches to disaster response and recovery management typically underemphasize the role of such multi-stakeholder coordination, particularly the involvement of community residents. Literature also provides limited advice on how to address overlapping or concurrent disasters, especially where one of the disasters is a pandemic. This becomes problematic when local authorities must respond to multiple events at once; when response to specific disasters (e.g., pandemics) is siloed; and when disaster concurrency exacerbates disproportional impact on socially vulnerable community members. Effective and equitable response planning for ‘overlapping’ or ‘concurrent’ disasters, therefore, requires better and more effective understanding and this Smart and Connected Communities Planning Grant (SCC-PG) study advances the NSF’s mission to promote the progress of science by generating scientific knowledge of factors affecting disaster response actions of diverse community stakeholders in the face of multiple hazards. This study also advances knowledge of the role and value of inter-stakeholder collaboration in disaster response planning as well its success factors. Lastly, this study advances NSF’s mission to promote national health, prosperity, and welfare of local communities by focusing on disaster response in the Intermountain West, which is at significant risk from fast and slow-onset disaster events such as wildfires, extreme heat events, earthquakes, and climate change.\n\nThis SCC-PG project employs community engagement techniques, qualitative inquiry methods and table-top role-playing games (RPGs) to lay the foundation for development of an online multi-player AI-mediated RPG to improve inter-stakeholder collaboration in response planning for concurrently occurring disasters. The project examines four research topics: i) factors affecting response decisions of various community stakeholders (such as residents, non-profits, government, and utility providers); (ii) types of information, data or communication structures needed to improve inter-stakeholder interaction and collaboration for response; (iii) effect of information exchange and collaboration on response decisions made at the individual and collective level; and (iv) characteristics of effective and equitable communication or collaboration structures for multi-stakeholder response planning for concurrent disasters. The results of this study and the subsequent SCC-IRG research will help any community undertaking disaster response planning to identify response actions that are at once more equitable, can work simultaneously for pandemics and other disasters, and integrate social and infrastructural dimensions.\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": "10182", "attributes": { "award_id": "2132815", "title": "Collaborative Research: CIF: Small: A New Paradigm for Distributed Information Processing, Simulation and Inference in Networks: The Promise of Law of Small Numbers", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Comm & Information Foundations" ], "program_reference_codes": [], "program_officials": [], "start_date": "2021-10-01", "end_date": "2024-09-30", "award_amount": 250000, "principal_investigator": { "id": 26117, "first_name": "Sandeep", "last_name": "Sadanandarao", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 169, "ror": "", "name": "Regents of the University of Michigan - Ann Arbor", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true }, "abstract": "The ability to access, process, and store distributed data in a reliable, efficient, and secure manner has become indispensable in everyday lives. A variety of emerging applications such as augmented reality, autonomous vehicles, and cloud computing heavily rely on handling large amounts of distributed information. The pandemic has further accentuated the global need for technologies that enable communication, collaboration, education and scientific discourse whilst maintaining physical distance, and this has increased awareness of the critical nature of the communication network infrastructure. The exponentially increasing demands for faster data processing and higher communication rates pose new challenges. This project addresses these challenges by developing novel approaches and techniques for distributed information processing, randomness generation, data storage and transmission, and inference. The project will tightly integrate research with a significant education and outreach program consisting of two focus areas: (i) Training students in interdisciplinary research, and (ii) Broadly disseminating research outcomes in the forms of new curricular development and student involvement. A concerted effort will be made to broaden the participation of women and under-represented minority students in the project. \n\nThe project is based on two research thrusts that are expected to provide a deeper understanding of the fundamental laws that govern the processing of information. In the first thrust, a new framework is developed based on two conceptual innovations: (i) A characterization of the fundamental memory structure of information processing functions using a novel notion of dependency spectrum, and (ii) Development of a new law of small numbers, which describes a fundamental interplay between the dependency spectrum and distributed cooperation. In particular, the project uncovers a trade-off between the correlation-preserving ability of distributed information-processing functions --- which is necessary for distributed cooperation --- and their ability to efficiently perform individual information-processing tasks. The second thrust addresses two application scenarios. (i) Building upon the concept of dependency spectrum, novel techniques are developed for distributed data compression, and transmission of information in interference and broadcast networks. (ii) The fundamental limits and practical design of distributed randomness generation algorithms are derived. These innovations lead to significant improvements over the state of the art both in terms of characterizations of asymptotic performance limits and constructive practical algorithms.\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": "10183", "attributes": { "award_id": "2118099", "title": "Collaborative Research: CyberTraining: Implementation: Medium: Cyber Training on Materials Genome Innovation for Computational Software (CyberMAGICS)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "CyberTraining - Training-based" ], "program_reference_codes": [], "program_officials": [ { "id": 26118, "first_name": "Ashok", "last_name": "Srinivasan", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [ { "id": 705, "ror": "https://ror.org/002w4zy91", "name": "University of West Florida", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true } ] } ], "start_date": "2021-09-01", "end_date": "2025-08-31", "award_amount": 400000, "principal_investigator": { "id": 9611, "first_name": "Tao", "last_name": "Wei", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 288, "ror": "https://ror.org/05gt1vc06", "name": "Howard University", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 26119, "first_name": "Pratibha", "last_name": "Dev", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 288, "ror": "https://ror.org/05gt1vc06", "name": "Howard University", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true }, "abstract": "The computing landscape is evolving rapidly. Exascale computers can perform unprecedented mathematical operations per second, while quantum computers have surpassed the computing power of the fastest supercomputers. Concomitantly, artificial intelligence (AI) is transforming every aspect of science and engineering. To address these rapid changes and challenges, this project will train a new generation of materials cyberworkforce, who will solve challenging materials genome problems through innovative use of advanced cyberinfrastructure (CI) at the exa-quantum/AI nexus. Further, the project will foster the adoption of exa-quantum/AI nexus technologies by a broad research community and beyond through a unique dual-degree PhD/MS program, undergraduate research to close the research-education gap, and broadening participation of women and underrepresented groups.\n\nThis project will develop training modules for a new generation quantum materials simulator named AIQ-XMaS (AI and quantum-computing enabled exascale materials simulator), which integrates exa-scalable quantum, reactive and neural-network molecular dynamics simulations with unique AI and quantum-computing capabilities to study a wide range of materials and devices of high societal impact such as optoelectronics and pandemic preparedness. CyberMAGICS (cyber training on materials genome innovation for computational software) portal will be developed as a single-entry access point to all training modules that include step-by-step instructions in Jupyter notebooks and associated tutorial slides/videos, while providing online cloud service for those who do not have access to computing platform. The modules will be incorporated into the open-source AIQ-XMaS software suite as tutorial examples, and they will be piloted in classroom and workshop settings to directly train 1,200 CI users at the University of Southern California (USC) and Howard University, with a strong focus on underrepresented groups. Broader reach and training will be accomplished through the portal and nanoHUB. Students trained in the dual-degree program will earn a PhD in materials science or physics; they will also earn either an MS in computer science specialized in high-performance computing and simulations, MS in quantum information science, or MS in materials engineering with machine learning. Undergraduate students will be mentored and trained by academic scholars in multidisciplinary fields as well as by scientists at national labs and industry. The project will further broaden participation through USC’s Women in Science and Engineering (WiSE) program and undergraduate research by underrepresented groups jointly supervised by USC and Howard faculty.\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": "10184", "attributes": { "award_id": "2049169", "title": "GSS: General Social Survey Competition 2022/2024", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "Sociology" ], "program_reference_codes": [], "program_officials": [ { "id": 1173, "first_name": "Joseph", "last_name": "Whitmeyer", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-10-01", "end_date": "2025-09-30", "award_amount": 15924856, "principal_investigator": { "id": 26124, "first_name": "Michael", "last_name": "davern", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 26120, "first_name": "Stephen L", "last_name": "Morgan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 26121, "first_name": "Jeremy", "last_name": "Freese", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 26122, "first_name": "Pamela", "last_name": "Herd", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 26123, "first_name": "Rene", "last_name": "Bautista", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 598, "ror": "https://ror.org/02f0bym65", "name": "National Opinion Research Center", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "The General Social Survey (GSS) provides basic information on the changing attitudes and behaviors of the American population over the past 50 years. These data are used widely to examine the complex dynamics of social change over time, and are central to our understanding of the evolution of US society. The GSS also provides data allowing comparisons with other countries through the International Social Survey Programme (ISSP). In this project, the GSS/ISSP surveys are continued into the 2022 and 2024 rounds. The research plan has three primary goals. Aim 1: Enhance the GSS as a platform for scientific discovery by soliciting and developing new content. The GSS/ISSP data enable systematic and theory-driven empirical research on social change by furnishing both a rich set of stable measures over time and new content that illuminates new research issues. Aim 2: Innovate to continue collecting data of the highest quality as the survey environment changes. As response rates continue to fall for traditional survey modes, NORC is evaluating a new mixed-mode design in 2022 and 2024. Such a design may allow generation of an even larger realized sample while maintaining high standards for quality. Aim 3: Expand dissemination and use of the GSS/ISSP data. The GSS/ISSP project is already one of “60 discoveries or advances that NSF believes have led to a large impact or influence on every American’s life,” and further expanding access to the data beyond the social science research community amplifies its impacts. In this project, the reach of the data is expanded both through updated websites and exploration tools and through increased outreach to students and other users in STEM fields.\n\nSeveral approaches are used to generate new content for the 2024 GSS, including soliciting sponsored modules from the research community, conducting a module competition, using the GSS as a platform for collection of follow-up panel data, and adding content to the GSS through linkage to other data sources. A cost-effective GSS web-based platform is made available for researchers to sponsor follow-up survey modules. The primary mode of data collection remains face-to-face interviews in 2022/24 (unless pandemic restrictions are still in effect), however, web-based data collection continues to be explored to ensure that the GSS remains at the forefront of social science research. In each cycle in 2022 and 2024, 3,500 completed cases are targeted (which exceeds the original required minimum of 2,500 per data collection year, and represents a 40% increase). This larger sample size yields more cases across sub-populations. In addition, the GSS provides supplementary data in 2022 derived from NORC’s probability panel (AmeriSpeak) on an experimental basis.. The GSS commitment to open science is maintained through the prompt release of public use data, continued support of user technical assistance and GSS use in the classroom, and the development of strategies for reaching a more diverse set of users. Data dissemination is enhanced through a substantial upgrade to the Data Explorer, the primary data access tool for the GSS. This project is supported by the Sociology Program in SBE/SES and by the IUSE Program in EHR/DUE.\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": "10185", "attributes": { "award_id": "2127911", "title": "Collaborative Research: The Role of Elites, Organizations, and Movements in Reshaping Politics and Policymaking", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "Build and Broaden" ], "program_reference_codes": [], "program_officials": [ { "id": 1532, "first_name": "Lee", "last_name": "Walker", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-06-01", "end_date": "2025-05-31", "award_amount": 243709, "principal_investigator": { "id": 26126, "first_name": "Jarvis", "last_name": "Hall", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 26125, "first_name": "Artemesia F", "last_name": "Stanberry", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1074, "ror": "https://ror.org/051r3tx83", "name": "North Carolina Central University", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "Arguably, the current political climate is the function of three seemingly distinct, yet interrelated, ongoing phenomena: (1) a contentious, problem-laden political environment, (2) grassroots organizations driving unprecedented levels of engagement and turnout, and (3) national movements driving discourse, preferences, and reform around long-held policy grievances. The combination of contentious politics and an energized electorate can result in record turnout despite a raging pandemic. The PIs examine how these features of the American polity shape public and institutional political behaviors. The project aims to build a network, and supportive infrastructure, to better understand how political elites, organizations, and movements in key political locations work to drive participation, preferences, and policymaking. \n\nThe project examines two broad research questions. The first question is: How do organizations and social movements mediate political preferences and policy agendas amongst the mass public? Second, it is interested in the collaboration between organizations and social movements and how these interactions shape traditional and untraditional forms of political participation. The study draws on a comprehensive mixture of quantitative (surveys, survey experiments, voter data analysis, social media analysis, and social network analysis) and qualitative (ethnographic observations, content analysis, elite interviews, and focus groups) methodological approaches to answer these questions. This study examines political activities during two electoral periods in several transformative states and municipalities. The broader impacts of the study are numerous. First, it connects a network of scholars from a diverse set of institutions. The project builds critical infrastructure at partner institutions to facilitate data collection and analysis. Namely, it (1) builds mobile research labs designed to conduct rapid response surveys during protests and organizational rallies, and (2) establishes data analysis centers at two minority serving institutions, and (3) provides cutting-edge training, tools, and professional resources to students from marginalized and underserved groups.\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": "10186", "attributes": { "award_id": "2142266", "title": "Expanding Participation for Women and Minorities in the 2022 Neurobiology of Cognition Gordon Research Seminar & Conference", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "Cognitive Neuroscience" ], "program_reference_codes": [], "program_officials": [ { "id": 5062, "first_name": "Jonathan", "last_name": "Fritz", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-04-15", "end_date": "2022-09-30", "award_amount": 40250, "principal_investigator": { "id": 26128, "first_name": "Sabine", "last_name": "Kastner", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 26127, "first_name": "David J", "last_name": "Freedman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 226, "ror": "https://ror.org/05rad4t93", "name": "Gordon Research Conferences", "address": "", "city": "", "state": "RI", "zip": "", "country": "United States", "approved": true }, "abstract": "The field of Cognitive Neuroscience has expanded by leaps and bounds over the past 20 years - the number of yearly publications has increased 20-fold over these two decades. Bringing the Cognitive Neuroscience community together for focused and in-depth discussion of cutting edge research every two years is incredibly valuable (the 2020 Gordon Conference was not held because of the pandemic). Meanwhile there has also been an explosion of information in molecular, cellular, circuit and systems neuroscience but little of that information has made significant inroads into our understanding of cognitive function. This Gordon Research Conference on the Neurobiology of Cognition should help bridge the gap, at the very least by identifying the avenues for connection that have the most potential for near-term traction and by linking scientist from disparate fields. \n\nThe Gordon conference (GRS and GRC) will take place in July, 2022. The emphasis of the workshop is to facilitate in-depth discussion between scientists working in divergent fields whose integration is essential to understanding the neurobiology of cognition. NSF support will enable graduate students and postdoctoral trainees and early investigators to participate in this high-profile workshop and will allow early stage investigators (non-tenured) to attend as speakers and full participants. Trainee fellowships to cover travel and registration expenses will be preferentially given to women and under-represented minorities in order to enhance diversity in the field of cognitive neuroscience.\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": "10187", "attributes": { "award_id": "2122350", "title": "The power of storytelling: creating videos to broaden participation in science, enhance STEM education, and facilitate exchange of scientific information.", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "Cellular Dynamics and Function" ], "program_reference_codes": [], "program_officials": [ { "id": 26129, "first_name": "Charles", "last_name": "Cunningham", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-08-15", "end_date": "2024-07-31", "award_amount": 2741446, "principal_investigator": { "id": 26132, "first_name": "Sarah", "last_name": "Goodwin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 26130, "first_name": "Elliot", "last_name": "Kirschner", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 26131, "first_name": "Shannon L", "last_name": "Behrman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1893, "ror": "", "name": "Science Communication Lab, Inc.", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "This grant explores how communicating science through a variety of video production techniques can be used to educate students, inform the scientific community, and engage the general public about the process and discoveries of current scientific research. Digital technological advancements and the wake of the global pandemic have created new opportunities for formal and informal learning through asynchronous viewing of videos. Understanding how various audiences respond to a spectrum of production styles and approaches will provide new strategies for improving science literacy through video, including among groups traditionally underserved by science communication and education. Furthermore, this project will assess how training early career scientists, particularly those from underrepresented groups, can elevate the science communication skill set of the next generation of STEM professionals.\n\nThis project will use both remote and in-person video recordings to combine interview footage, on-scene recording, and science talks with animation, music, and other post-production elements to tell the stories of science using the full palate of video production techniques. The resulting products include: videos and curricular resources for undergraduate biology students developed in collaboration with educators, short films for broader audiences, and science communication training for early career researchers from diverse backgrounds. The video products and trainings will be matched with evaluations, including validated surveys, focus groups, and novel assessment tools developed by the research team. Evaluating engagement and learning across diverse audiences will help identify fundamental principles of effective communication through science videos. This proposal was funded with support from the National Institute of General Medical Sciences.\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": "10188", "attributes": { "award_id": "2127913", "title": "Collaborative Research: The Role of Elites, Organizations, and Movements in Reshaping Politics and Policymaking", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "Build and Broaden" ], "program_reference_codes": [], "program_officials": [ { "id": 1532, "first_name": "Lee", "last_name": "Walker", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-06-01", "end_date": "2025-05-31", "award_amount": 238500, "principal_investigator": { "id": 26133, "first_name": "Bernard", "last_name": "Fraga", "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": "Arguably, the current political climate is the function of three seemingly distinct, yet interrelated, ongoing phenomena: (1) a contentious, problem-laden political environment, (2) grassroots organizations driving unprecedented levels of engagement and turnout, and (3) national movements driving discourse, preferences, and reform around long-held policy grievances. The combination of contentious politics and an energized electorate can result in record turnout despite a raging pandemic. The PIs examine how these features of the American polity shape public and institutional political behaviors. The project aims to build a network, and supportive infrastructure, to better understand how political elites, organizations, and movements in key political locations work to drive participation, preferences, and policymaking. \n\nThe project examines two broad research questions. The first question is: How do organizations and social movements mediate political preferences and policy agendas amongst the mass public? Second, it is interested in the collaboration between organizations and social movements and how these interactions shape traditional and untraditional forms of political participation. The study draws on a comprehensive mixture of quantitative (surveys, survey experiments, voter data analysis, social media analysis, and social network analysis) and qualitative (ethnographic observations, content analysis, elite interviews, and focus groups) methodological approaches to answer these questions. This study examines political activities during two electoral periods in several transformative states and municipalities. The broader impacts of the study are numerous. First, it connects a network of scholars from a diverse set of institutions. The project builds critical infrastructure at partner institutions to facilitate data collection and analysis. Namely, it (1) builds mobile research labs designed to conduct rapid response surveys during protests and organizational rallies, and (2) establishes data analysis centers at two minority serving institutions, and (3) provides cutting-edge training, tools, and professional resources to students from marginalized and underserved groups.\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 } } ], "meta": { "pagination": { "page": 1393, "pages": 1397, "count": 13961 } } }