Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1406&sort=-keywords
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-keywords", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=-keywords", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1407&sort=-keywords", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1405&sort=-keywords" }, "data": [ { "type": "Grant", "id": "10034", "attributes": { "award_id": "2222918", "title": "FW-HTF-P: Toward Collaborative Remote Physical Examination: Transforming Medical and Nursing Practice", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "FW-HTF Futr Wrk Hum-Tech Frntr" ], "program_reference_codes": [], "program_officials": [ { "id": 849, "first_name": "Dan", "last_name": "Cosley", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-10-01", "end_date": "2023-09-30", "award_amount": 149996, "principal_investigator": { "id": 25875, "first_name": "Francis", "last_name": "Quek", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 15912, "first_name": "Thomas K", "last_name": "Ferris", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25873, "first_name": "Mary C", "last_name": "Hipwell", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25874, "first_name": "Rebecca F", "last_name": "Friesen", "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": "Since the early in in the COVID-19 pandemic, telemedicine has seen tremendous growth in the U.S, providing people in under-resourced areas with broader access to healthcare through remote telemedicine visits with health professionals and experts to whom they may not otherwise have access. However, these visits are currently restricted to video teleconference-style exchanges and lack the capacity for physical examinations, which contribute significantly to diagnoses and the identification of health concerns that may not otherwise surface during a medical visit. This project investigates the possibility of supporting physical examination as a paired practice between a caregiver local to the patient and a remote physician, using touch-based and augmented-reality technologies. Caregivers will perform examinations while wearing touch-sensitive gloves, guided by remote physicians using a physical examination cockpit that lets them see and feel the patient using the outputs from the caregiver’s gloves and a video feed. The technology and practice will potentially transform the work of physicians and local caregivers, opening the door to more effective and more accessible telemedicine visits.\n\nThe foregoing discussion uncovers a number of questions that the project is designed to address. First, tactile interpretation is active, meaning that one has to typically be in control of the sensing process to be able to interpret the sensory output. The proposal will explore conditions under which one can meaningfully interpret passively received tactile information, such as what the remote physician would feel when a local (to the patient) caregiver is now in control of the sensing motions. One method to be tested for returning agency to the physician is the psychological phenomenon known as the ‘rubber hand’ or body transfer illusion, where one psychologically associates an appropriately-placed rubber hand as one’s own, and an impact on the rubber hand is viscerally felt by the subject. Even if the rubber hand illusion does not fully activate, joint expertise between the local touch explorer and the distant interpreter may facilitate the needed tactile understanding, and this understanding may be enhanced through practice. The project team will explore configurations (e.g., relative positions of the distal toucher’s hands to the subject’s hidden hands, degree of and type of movement/tactile exploration, visual/augmented reality presentation) that allow body transfer illusions or joint expertise to enable interpretation. The team will also conduct a series of video-based grounded theory explorations of physicians performing physical examinations to gain a better understanding of the process and to categorize specific actions that may serve as the basis of communication between the local caregiver and the distal physician, and to inform the technology developments necessary to enable this collaborative examination. Finally, the project team, comprising physicians and nurses, mechanical engineers, human-computer interaction researchers, and perceptual psychologists, will collaborate on the research described, engaging in team development exercises to gain a stronger shared understanding of the joint physical examination process and support future research and development of these practices and technologies.\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": "10035", "attributes": { "award_id": "2150922", "title": "Developing Digitally-rich Urban Teacher Leaders: Fostering and Sustaining a STEM Culture of Belonging, Access, Justice, Equity, Diversity, and Inclusion", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Education and Human Resources (EHR)", "Robert Noyce Scholarship Pgm" ], "program_reference_codes": [], "program_officials": [ { "id": 745, "first_name": "Kathleen", "last_name": "Bergin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-10-01", "end_date": "2027-09-30", "award_amount": 2999914, "principal_investigator": { "id": 25880, "first_name": "Cynthia", "last_name": "Callard", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 25876, "first_name": "Raffaella", "last_name": "Borasi", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25877, "first_name": "John D", "last_name": "Kessler", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25878, "first_name": "Michael J", "last_name": "Daley", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25879, "first_name": "Andrea H", "last_name": "Cutt", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 464, "ror": "https://ror.org/022kthw22", "name": "University of Rochester", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "The project aims to serve the national need of developing highly effective STEM teacher leaders, referred to a Master Teaching Fellows, prepared to be agents of change around issues of belonging, access, justice, equity, diversity and inclusion in STEM teaching and learning. The disruptions in school operations experienced during the COVID-19 pandemic have made even more visible serious inequities that exist in K-12 schools, and even more so in schools serving high-need students – calling for action to address these issues. The proposed project addresses these issues by first expanding the knowledge and skills in inclusive teaching practices of participating experienced and exemplary STEM teachers. This is accomplished through graduate coursework and content-focused coaching from professional mentors. To further broaden impact, the project supports the development of participating teachers’ skills and dispositions as teacher leaders and supports them in enacting their leadership. Their leadership is intended to assist other STEM teachers in creating safe, inclusive, and culturally responsive STEM learning environments. Coursework and mentored leadership experiences will help teachers develop these skills. Through this project, participating teachers are prepared to leverage digitally-rich resources into their teaching and to posses increased expectations in STEM for all students regardless of identity markers, including race, gender, sexual orientation, language, ability, and economic background. Through an action research project, participating teachers become more reflective practitioners and identify opportunities for self-improvement that will impact student learning.\n\nThis project in the Warner School of Education & Human Development at the University of Rochester includes partnerships with the Rochester City School District, Elmira City School District, Jamestown City School District, and the Rochester Museum & Science Center. The project aims to recruit a cadre of 19 grade 7-12 exemplary and experienced mathematics and science teachers from across the three partner districts in Western New York for a five-year program leading to an MS in Inclusion and Special Education, along with advanced certificates in Teacher Leadership, Urban Teaching & Leadership, and Digitally-Rich Teaching and Learning in K-12 Schools. Fellows selected to the program are engaged in a continuous leadership seminar series to further develop their leadership skills and mentored in implementing a change project in their home district. Fellows also receive focused mentoring on coaching and professional learning. The external evaluation is designed to examine in what ways the project develops participating teachers’ digitally-rich teaching practices, culturally sustaining pedagogical practices, and teacher leadership practices. This Track 3: Master Teaching Fellowships project is supported through the Robert Noyce Teacher Scholarship Program (Noyce). The Noyce program supports talented STEM undergraduate majors and professionals to become effective K-12 STEM teachers and experienced, exemplary K-12 teachers to become STEM master teachers in high-need school districts. It also supports research on the effectiveness and retention of K-12 STEM teachers in high-need school districts.\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": "10036", "attributes": { "award_id": "2233905", "title": "Conference: 2023 Physical Virology GRC and GRS", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "PHYSICS OF LIVING SYSTEMS" ], "program_reference_codes": [], "program_officials": [ { "id": 780, "first_name": "Krastan", "last_name": "Blagoev", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-01", "end_date": "2023-08-31", "award_amount": 20600, "principal_investigator": { "id": 9474, "first_name": "Michael", "last_name": "Hagan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 25881, "first_name": "Charlotte", "last_name": "Uetrecht", "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": "This award provides support for a combined Gordon Research Conference (GRC) on Physical Virology: Viruses at multiple levels of complexity and Gordon Research Seminar (GRS), to be held Jan 22-27, 2023 in Lucca (Barga), Italy. The biennial GRC aims to transform the study of these processes by establishing Physical Virology as a paradigm for the intersection of fundamental physical laws and emergent biological function. The meeting brings together researchers with scientific expertise in virology, chemistry, materials science, mathematics, physics, and engineering who share a common desire to (1) understand the physical mechanisms that enable and regulate viral lifecycles, (2) use this knowledge to develop and engineer novel nanotechnology platforms based on viral particles or other self -assembling structures, with applications including biomimetic materials and optoelectronics, and (3) broaden physical virology to leverage recent advances in cell biology and protein design. The associated GRS workshop is a school that takes place immediately prior to the main (GRC) conference. The GRS is organized by a graduate student and a postdoc. The school will feature 11 talks by students and postdocs; a career and mentorship panel discussion comprised of individuals invited from industry, academia, and science communication. The COVID-19 pandemic highlights the need for these cross-disciplinary approaches to understand viral biology, predict global spread and impact, and generate the fundamental knowledge that provides the foundation for developing new treatments.\n\nBroader impacts of this award include fostering interdisciplinary science, increasing the diversity, equity, and inclusivity (DEI) of the Physical Virology community, and the training and career development for early career researchers.\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": "10037", "attributes": { "award_id": "2212241", "title": "CNS Core: Medium: Detection and Analysis of Infrastructure Bottlenecks in a Cloud-Centric Internet", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Networking Technology and Syst" ], "program_reference_codes": [], "program_officials": [ { "id": 944, "first_name": "Darleen", "last_name": "Fisher", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-10-01", "end_date": "2025-09-30", "award_amount": 1092000, "principal_investigator": { "id": 945, "first_name": "Ka Pui", "last_name": "Mok", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 258, "ror": "", "name": "University of California-San Diego", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 3817, "first_name": "Kimberly C", "last_name": "Claffy", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25882, "first_name": "Alexander", "last_name": "Marder", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 258, "ror": "", "name": "University of California-San Diego", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The CoVID-19 pandemic and associated quarantine has accelerated the Internet’s fundamental shift from a peer-to-peer to a cloud-centric model. Our entire lives have moved online, now predominantly mediated by services in the cloud, and public clouds are rapidly evolving to meet increasing requirements and demands from customers and end users. The importance of the clouds in the modern Internet triggers questions regarding how well existing Internet backbone networks support the applications and content now served from the clouds. Cloud providers can afford the infrastructure upgrades to support the needs of low latency or high throughput applications, but their ability to adapt infrastructure to application demands ends at their network border. The economics of deploying and operating transit backbone infrastructure combine with the surge in traffic toward cloud services to induce performance bottlenecks in the changing Internet landscape. \n\nThis project proposes an ambitious effort to design measurement and analysis tools that can transform our understanding of cloud connectivity performance and reachability in the U.S. and around the world. Researchers currently lack the measurement ability to even identify such bottlenecks at scale, much less assess their impact on Internet users. The project is structured as two tasks that will combine to reveal performance bottlenecks outside the cloud networks where the high cost of deployment and operations leads to infrastructure bottlenecks for cloud applications. The first task will develop novel techniques to identify performance bottleneck links between cloud datacenters and thousands of publicly accessible speed test servers, by synthesizing active measurements with TCP flows. The second task will analyze the bottleneck links we identify with comprehensive path measurements from cloud datacenters to the entire public Internet, and we will develop new techniques to support inference of the geographic locations of bottleneck links by geolocating where paths exit cloud networks. \n\nThe intellectual merit of this project stems from the innovative methods we will develop and validate to conduct accurate, scalable, and reliable topology and performance measurements of a critical component of the modern Internet, overcoming cost barriers that have prevented measurement studies from the cloud. The measured features and labels the project generates will provide an ideal basis to address the persistent challenge in applying machine learning techniques to network infrastructure research. The project will also have broader impacts outside of the scientific research agenda. The tools and data the project generates will be valuable to enterprises and application developers deploying into the cloud, as well as policy-makers seeking to understand bottlenecks in U.S. Internet infrastructure. The data, tools, and analyses can also lead to the discovery of broadband performance inequities in the U.S. and inform future public investment in infrastructure. Experience with cloud applications and measurements will be incorporated into an undergraduate data science course and undergraduate research mentorships.\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": "10038", "attributes": { "award_id": "2146306", "title": "D-ISN/Collaborative Research: An Interdisciplinary Approach to the Discovery, Analysis, and Disruption of Wildlife Trafficking Networks", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "D-ISN-Illicit Supply Networks" ], "program_reference_codes": [], "program_officials": [ { "id": 2155, "first_name": "Georgia-Ann", "last_name": "Klutke", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-01", "end_date": "2025-07-31", "award_amount": 655765, "principal_investigator": { "id": 25884, "first_name": "Juliana", "last_name": "Freire", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 25883, "first_name": "Jennifer", "last_name": "Jacquet", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 167, "ror": "https://ror.org/0190ak572", "name": "New York University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "This Disrupting Operations of Illicit Supply Networks (D-ISN) project aims to address the illegal trade in wild animals. Wildlife trafficking is one of the most common illicit activities globally and poses a substantial human cost along with detrimental social and economic impacts, including increased crime, violence, and environmental destruction. The COVID-19 pandemic, likely the result of a virus that spread to humans from a wildlife market, demonstrates that wildlife trafficking can have serious public health and biosafety implications. This project seeks to catalyze technological innovations by creating tools that empower domain experts to continuously discover and obtain actionable insights by exploring the wealth of data related to illicit networks that spread over multiple sources. The project will advance our Nation's ability to counter wildlife trafficking activities through novel approaches for data discovery, analytics, and modeling. The project will also promote the progress of research in criminal activities that have an online footprint. Data collected in the course of the project will be made publicly available through a dataset search engine, making it possible for researchers to enrich data-driven analyses through the dynamic discovery and linkage of previously unknown data, and allowing them to answer important questions. The project team's collaboration with non-governmental organizations and discussions with law enforcement agencies will facilitate an interactive process that can fine-tune disruption techniques and suggest pragmatic real-world implementation strategies and policy recommendations.\n\nThe project uses an interdisciplinary approach – combining methods and tools from computer science and engineering as well as wildlife criminology to advance the state of the art and build fundamental knowledge in methods for the discovery and exploration of data related to illicit activities with an online footprint, as well as enhance wildlife trafficking research. Specifically, this project contributes new algorithms that provide capabilities to: 1) discover and automatically collect data related to wildlife trafficking from multiple platforms at an unprecedented scale; and 2) use these data to build computational models and study wildlife trafficking patterns and networks at the global level. Through the use of analytical techniques such as crime mapping, quantitative data analysis, and social network analysis, this project will address research questions related to the scale and the nature of illicit wildlife trade, network structures of online wildlife trafficking, and empirically-driven disruption models that can be used to best tackle them. The algorithms are adaptable to different domains and data, support the discovery of both unstructured data and structured datasets, and will serve as the basis for usable tools that empower domain experts to continuously discover and monitor relevant data.\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": "10039", "attributes": { "award_id": "2220417", "title": "IMR: MM-1A: ADDRESS: Augment, Denoise and Debias cRowdsourced mEasurements for Statistical Synthesis of internet access characterization", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Networking Technology and Syst" ], "program_reference_codes": [], "program_officials": [ { "id": 1245, "first_name": "Deepankar", "last_name": "Medhi", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-10-01", "end_date": "2025-09-30", "award_amount": 600000, "principal_investigator": { "id": 11366, "first_name": "Elizabeth", "last_name": "Belding", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 320, "ror": "", "name": "University of California-Santa Barbara", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 25885, "first_name": "Mengyang", "last_name": "Gu", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25886, "first_name": "Arpit", "last_name": "Gupta", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 320, "ror": "", "name": "University of California-Santa Barbara", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The U.S. suffers from digital inequality that stretches in multiple dimensions. Several demographic and socioeconomic factors, such as race, ethnicity, and income, as well as population density, are often indicators of Internet availability and quality. To fully bridge the Internet access divide and best allocate available funding, policymakers need to understand the state of Internet accessibility and quality at fine-grained geographical granularity. The goal of this project is to make the best use of crowdsourced Internet measurement data to estimate the distribution of fixed Internet quality at different levels of geospatial granularity with as high accuracy as possible.\n\nTo do so, the projects plans to make the following contributions: (i) to develop a Broadband Offerings Tool that aggregates ISP broadband plan offerings and links that data with crowdsourced measurements and socioeconomic data to predict user subscription plans, (ii) to develop new methodologies and algorithms that can detect noisy data points, such as speed test measurements that report bottlenecks in WiFi access or remote peering links, which bias the understanding of Internet quality, (iii) to propose new statistical techniques that use the resulting dataset to output a debiased dataset that removes the spatial, temporal, and demographic biases inherent in crowdsourced Internet measurement data.\n\nDigital inequality continues to persist in the U.S., deepened by the work-from-home and remote schooling resulting from the COVID-19 pandemic. The outputs of this work will be used to report the distribution of Internet quality in a region and predict that of regions for which less data is available. This work will also reveal demographic variables that most influence the U.S. digital divide. The outcomes of this project can be used to inform local, state and federal governments about where investments must be made to ensure all Americans have access to high quality Internet.\n\nA project website will be established, which will contain information about research methodology, models and outcomes. The likely URL is broadband.cs.ucsb.edu. The website will be maintained for the duration of the project, and at least a year thereafter.\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": "10040", "attributes": { "award_id": "2205084", "title": "SCH: Improving Patient Health and Equity through the Digital Transformation of Diabetes Care Delivery", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Smart and Connected Health" ], "program_reference_codes": [], "program_officials": [ { "id": 2155, "first_name": "Georgia-Ann", "last_name": "Klutke", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-01", "end_date": "2026-08-31", "award_amount": 1200000, "principal_investigator": { "id": 25891, "first_name": "Ramesh", "last_name": "Johari", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 25887, "first_name": "Emily B", "last_name": "Fox", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25888, "first_name": "David", "last_name": "Maahs", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25889, "first_name": "Priya", "last_name": "Prahalad", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25890, "first_name": "David", "last_name": "Scheinker", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 266, "ror": "https://ror.org/00f54p054", "name": "Stanford University", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "This Smart and Connected Health (SCH) award will contribute to the advancement of the national health and welfare by developing the scientific foundation of using digital technology to improve the quality and reduce the cost of diabetes management. Increased adoption of remote activity trackers, continuous glucose monitors, other types of sensors, and telehealth (precipitated by the COVID-19 pandemic) have transformed diabetes care. The typical standard of care for diabetes revolves around a few “finger poke” glucose measurements per day and a few in-clinic visits with the care team per year, with many missed opportunities to detect and remedy deteriorating glucose management. The digitization of diabetes care holds the potential for as-needed measurement, monitoring, and personalized patient care. In a best case scenario, these technological advances promise to narrow gaps in health care access, by providing limited care resources to those most in need. Achieving this outcome requires novel scientific progress to leverage sensor data to better understand patients; to develop algorithmic techniques to allocate care resources efficiently to patients; and to help both providers and patients develop and implement care decisions together. This award specifically develops algorithms, platforms, and decision support tools to address these challenges in the context of care of type 1 diabetes in pediatric populations, by connecting engineers, computer scientists, and statisticians with clinicians in an interdisciplinary effort. A key component of the project involves deployment at two sites (Lucile Packard Children’s Hospital at Stanford, and Children’s Mercy Hospital at Kansas City) to capture the real-world constraints the theory must tackle and to validate the real-world efficacy of the scientific innovations developed.\n\nThe research objectives are to: (1) develop methods to identify patient types from sensor data, informing the health care team's understanding of differentiated needs and behaviors across the patient population; (2) develop methods to allocate scarce provider resources to those patients most in need of care; and (3) design interpretable treatment planning recommendations to facilitate interactions between providers and patients, including both provider-facing and patient-facing “dashboards” that visualize progress and disease management, and guide discussion of interventions. These thrusts both leverage and advance the state of the art in time-series modeling and machine learning; behavioral psychology; and data-driven operations research. Data and real-world understanding from the clinical context serve to define the problems the theory must tackle and as a benchmark to validate the models and methods developed. The models developed will be deployed and evaluated in clinics caring for pediatric patients with type 1 diabetes.\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": "10041", "attributes": { "award_id": "2215138", "title": "BRITE Girls Online STEM Practices: Building Relevance and Identity to Transform Experiences", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Education and Human Resources (EHR)", "AISL" ], "program_reference_codes": [], "program_officials": [ { "id": 5835, "first_name": "Julie", "last_name": "Johnson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-15", "end_date": "2025-07-31", "award_amount": 1902274, "principal_investigator": { "id": 25894, "first_name": "Roxanne", "last_name": "Hughes", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 12128, "first_name": "Karen A", "last_name": "Peterson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25892, "first_name": "Abimbola", "last_name": "Olukeye", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25893, "first_name": "Qian", "last_name": "Zhang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 343, "ror": "https://ror.org/05g3dte14", "name": "Florida State University", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true }, "abstract": "Despite decades of policies and programs meant to increase the representation of girls and women in science, technology, engineering, and mathematics (STEM), girls and women of color still represent a much smaller percent of the STEM workforce than they do in the US population. This lack of representation is preventing the US STEM workforce from reaching its true potential. Intersecting inequalities of gender, race, ethnicity, and class, along with stereotypes associated with who is successful in STEM (i.e., White men), lead to perceptions that they do not belong and may not succeed in STEM. Ultimately, these issues hinder girls’ STEM identity development (i.e., sense of belonging and future success), lead to a crisis of representation for women of color and have compounding impacts on the STEM workforce. Research suggests there are positive impacts of in-person STEM learning after-school and out-of-school time programs on girls’ sense of belonging. The increasing need for online learning initiated by the COVID-19 pandemic means it is vital to investigate girls’ STEM identity development within an online community. Thus, the project will refine and test approaches in online learning communities to make a valuable impact on the STEM identity development of girls of color by 1) training educators and role models on exemplary approaches for STEM identity development; 2) implementing a collaborative, girl-focused Brite Online Learning Community that brings together 400 girls ages 13-16 from a minimum of 10 sites across the United States; and 3) researching the impact of the three core approaches -- community building, authentic and competence-demonstrating hands-on activities, and interactive learning with women role models -- on participating girls’ STEM identities in online settings.\n\nThe mixed methods study is guided by guided by Carlone & Johnson’s model of STEM identity involving four constructs: competence, performance, recognition, and sense of belonging. Data collection sources for the quantitative portion of the project include pre- and post-surveys, while qualitative data sources will be collected from six case study sites and will include observations, focus group interviews with girls, artifacts created by girls and educators, educator interviews, and open-ended survey responses. This approach will enable the research team to determine how and the extent to which the Brite Online Learning Community influences STEM identity constructs, interpreting which practices lead to meaningful outcomes that can be linked to the development of STEM identity for participating girls in an online environment. The products of this work will include research-based, tested Brite Practices and a toolkit for fostering girls’ interest, identification, and long-term participation in STEM. The resulting products will increase the reach of informal STEM education programming to girls of color across the nation as online spaces can reach more girls, potentially increasing the representation of women of color in the STEM workforce. This project is funded by the Advancing Informal STEM Learning (AISL) program which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments.\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": "10042", "attributes": { "award_id": "2234176", "title": "Workshop on Advances in Mathematical and Theoretical Biology", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "MATHEMATICAL BIOLOGY" ], "program_reference_codes": [], "program_officials": [ { "id": 579, "first_name": "Amina", "last_name": "Eladdadi", "orcid": null, "emails": "", "private_emails": null, "keywords": "[]", "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-03-01", "end_date": "2024-02-29", "award_amount": 27000, "principal_investigator": { "id": 25899, "first_name": "Xinyue", "last_name": "Zhao", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 25895, "first_name": "Mary Ann", "last_name": "Horn", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25896, "first_name": "Wandi", "last_name": "Ding", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25897, "first_name": "Peter", "last_name": "Hinow", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25898, "first_name": "Xi", "last_name": "Huo", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 189, "ror": "https://ror.org/02vm5rt34", "name": "Vanderbilt University", "address": "", "city": "", "state": "TN", "zip": "", "country": "United States", "approved": true }, "abstract": "This award supports participation in the workshop \"Advances in Mathematical and Theoretical Biology\" held at Vanderbilt University, Nashville, March 17-19, 2023. The focus will be on modeling and analysis of mathematical models with different aspects of biological applications, such as infectious diseases, cancer and treatment, and population dynamics. The workshop will highlight significant recent developments in these areas and provide a forum for the participants to meet and communicate their recent work. The goals of the workshop are to: (1) to bring together leading researchers from different areas and backgrounds of mathematical and theoretical biology to communicate and exchange ideas; (2) study challenging health problems, such as the COVID-19 pandemic, cancer modeling and treatment, emerging diseases, etc.; (3) expose younger researchers (undergraduate/graduate students and postdocs) to the latest developments in these areas; and (4) broaden and stimulate the education and research of young, female, and underrepresented researchers. \n\nMathematical and theoretical biology is an interdisciplinary field that uses tools from analytical and numerical mathematics to address questions related to biology. The recent two decades have witnessed tremendous growth in this area, and emerging questions from biology have brought forward new and exciting mathematical questions. This workshop will bring together researchers from different mathematical areas at several academic career stages, facilitating the initiation of collaborative research among the attendees. The workshop will feature six plenary speakers from the USA, Canada, France, and Mexico and forty invited speakers ranging from senior level researchers to early-career researchers and students. A poster session will promote undergraduate and graduate research. By bringing together a new generation of researchers along with established experts, the workshop aims to cultivate new collaborations and networks that can help junior researchers as they advance their careers.\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": "10043", "attributes": { "award_id": "2221922", "title": "An Ethnic Spring in the Food Desert? How State Policy Affects Food Environments and Business Entrepreneurship.", "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": 25900, "first_name": "Enrique", "last_name": "Pumar", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-01-01", "end_date": "2025-12-31", "award_amount": 95327, "principal_investigator": { "id": 25901, "first_name": "Shellye", "last_name": "Suttles", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 221, "ror": "https://ror.org/01kg8sb98", "name": "Indiana University", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "This study examines how state-level policy ameliorates or exacerbates institutionalized inequality in food security, food access, and food business ownership in the United States. In 2018, an estimated 1 in 9 Americans were food insecure (37 million Americans, including more than 11 million children). The onset of the COVID-19 pandemic has exacerbated food insecurity in the United States. Among African American, Latino, and immigrant communities’ food insecurity is higher leading to serious chronic disease prevalence in these communities. In 2019, 1 in 6 minority residents in the United States also lived in a community with limited availability and accessibility to retail grocery outlets. Nevertheless, as of 2020, nearly 1 in 5 U.S. businesses with employees were minority-owned, and a portion of these businesses were contributing to the food environment of communities by providing access to both retail grocery and dining services. The project examines two broad research questions related to the combination of food security, food access, and food business ownership that constitute a community’s food environment. The first question is: What is the role of state and local policy in the food environment in the United States? Further, how do state and local food policies affect individual food security and food access? The broader impacts of the study are numerous. The efforts will develop academic, institutional, and community partnerships connecting political science, public affairs, and applied economics research that allows for a reimagining of food systems research that does not keep diverse stakeholders on the fringe but incorporates them into existing political, economic, and food systems. Moreover, the research will shed light on the ongoing racial, ethnic, and nativity disparities embedded in U.S. state-level food policy. \n\nThe investigation will implement a two-part mixed methods approach to answer research questions related to the variation in food environments across states. Part I will compile data into a novel dataset to understand the influence of food policy on the food environment at state and county levels, as well as the influence of the food environment on individuals. Part II involves a qualitative approach using research interviews in urban, suburban, and rural communities in California, Indiana, Maine, New York, and Texas, to solicit open-ended feedback on how immigrant communities and communities of color perceive their food environments, opportunities for food business entrepreneurship, and existing food policies. The project will work with community partners to co-create, disseminate, and analyze the interview instrument and its results across the five strategically chosen study sites. These in-depth research interviews will highlight how state policy shapes the individual attitudes and access. Lastly, this project will collect a county-level dataset informed by the findings from the qualitative interview instrument to investigate how residents and entrepreneurs interact with local and state bureaucracy and their local food environment. This investigation will explain how decisions at the state level (policies and expenditures) are significantly correlated with a change in the quality of individual and local food environments. Most importantly, the research brings politics, policy, and applied economic subfields into conversation regarding U.S. food policy, building an infrastructure among institutions to facilitate data collection and analysis that includes active collaboration with community research partners and MSI student researchers.\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": 1406, "pages": 1424, "count": 14236 } } }