Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=3&sort=-other_investigators
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-other_investigators", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1405&sort=-other_investigators", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=4&sort=-other_investigators", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=2&sort=-other_investigators" }, "data": [ { "type": "Grant", "id": "15735", "attributes": { "award_id": "2433308", "title": "Collaborative Research: III: Small: Towards A Computational Foundation of Teams Network Science", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Info Integration & Informatics" ], "program_reference_codes": [], "program_officials": [ { "id": 27554, "first_name": "Raj", "last_name": "Acharya", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-08-01", "end_date": null, "award_amount": 400000, "principal_investigator": { "id": 28389, "first_name": "Hanghang", "last_name": "Tong", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 32792, "first_name": "ChengXiang", "last_name": "Zhai", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 281, "ror": "", "name": "University of Illinois at Urbana-Champaign", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "Teams appear in almost any organization such as universities, corporations, and governments. The importance of teams is even more evident with the work practice has been evolving to a new hybrid mode – a combination of work in office and from home which inevitably changes how people collaborate as a team. Consequently, it presents new challenges to team collaborations, in that it increases difficulty of communications, stifles innovation, and affects collaboration. Despite an organization as well as an individual’s profound dependency on teams and the rapid changing landscape of team-enabled operations, computational models, algorithms and tools to optimize the team collaboration are lacking and lagging. To name a few, how to model the multi-channel, multi-platform team collaboration data? How to foresee the rising or the falling of a team at an early stage? How to form a high-performing team as well as to enhance the performance of an existing team? This project develops data mining models, algorithms and tools to optimize team collaboration facing novel challenges in a new hybrid working environment. It consists of three mutually complementary and synergistic research tasks. The first task models the raw team collaboration data to provide a worldview representation of how complex tasks are conducted by teams in multiple channels and platforms. The second task builds multi-task, multi-target predictive models to forecast the performance of a given team. The third task develops algorithms and tools to optimize teams. Specially, it develops data-driven approaches to form and enhance teams. Based on that, it develops reinforcement learning based methods to proactively optimize teams and game-theoretic methods to interactively optimize teams by incorporating user feedback. This project helps improve team efficacy, and optimize human resource allocation, thereby mitigating the challenges that the post-pandemic age has posed to the workforce. The project team actively seeks to engage under-represented students. The research outcome of this project is disseminated through publications, tutorials and open-source software. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "15732", "attributes": { "award_id": "2424180", "title": "S-STEM: Bothell Engineering and Technology Scholars", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "S-STEM-Schlr Sci Tech Eng&Math" ], "program_reference_codes": [], "program_officials": [ { "id": 32787, "first_name": "Gordon", "last_name": "Uno", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-08-01", "end_date": null, "award_amount": 1999995, "principal_investigator": { "id": 32790, "first_name": "Cinnamon", "last_name": "Hillyard", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 8271, "first_name": "Jennifer", "last_name": "McLoud-Mann", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 32788, "first_name": "Tadesse", "last_name": "Ghirmai", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 32789, "first_name": "Yusuf", "last_name": "Pisan", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 159, "ror": "https://ror.org/00cvxb145", "name": "University of Washington", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true }, "abstract": "The UW Bothell Engineering and Technology Scholars project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of high-achieving, low-income students with demonstrated financial need at the University of Washington Bothell. UW Bothell is a Minority Serving Institution, and its student body is one of the most diverse in the state where 38% of incoming first-year students are first generation and 28% are eligible for federal Pell Grants. Over its six-year duration, this Track 2 S-STEM project will fund scholarships to 60 unique full-time students who are pursuing bachelor's degrees in Engineering and Technology (E&T), including computer and software systems, computer engineering, mechanical engineering, electrical engineering, data visualization, mathematics, and physics. Project activities include dedicated math and science courses and cohort-based programming that provides academic success workshops, networking and career development opportunities, and faculty mentoring. Faculty mentors will learn about proven best practices and support each other through a faculty learning community. This project investigates which of several evidence-based strategies are the most effective in supporting and training low-income students specifically interested in E&T degrees through their journey from first year through graduation. In addition to measuring traditional elements of student success such as pass, persistence, and graduation rates, the project tracks students' sense of purpose, academic and social belonging, career readiness, and overall well-being. Faculty will deepen their understanding of the complex student experiences and use this knowledge to help address institutional barriers for all students entering UW Bothell in the post-pandemic era. The overall goal of this project is to increase STEM degree completion of academically talented, low-income undergraduates with demonstrated financial need. This project seeks to increase the percentage of students who complete an E&T major by providing coaching, dedicated academic support, and re-designed prerequisite courses; increase the number of students obtaining an E&T major by providing faculty mentoring, networking, and career development opportunities that promote a sense of belonging and a sense of purpose; and enhance faculty and staff ability to best support student populations by creating an ongoing faculty learning community. Currently, only 30% of incoming students who want to pursue E&T degrees graduate with an E&T degree, and the diversity of the incoming class is starkly different from the graduating class. National and institutional research indicates that the loss of UW Bothell students in E&T fields can be attributed to four primary barriers: financial burdens, early academic struggles, a lack of sense of belonging and purpose, and complex institutional systems. Research has shown that providing financial support, academic support through dedicated coursework and academic seminars, mentoring, cohort experiences, and/or career development opportunities can help bridge these barriers. The project will provide additional support to faculty mentors to help students overcome these barriers and provide faculty opportunities to learn about and address institutional barriers. Most research studies only examine one or two of these components. This project seeks to understand which combination of programing, academic support, pedagogical approaches, and faculty mentoring have the greatest impact for low-income students by implementing an extensive assessment plan. The assessment plan utilizes both formative and summative evaluation methods that include student and faculty mentor surveys, student focus groups, and monitoring of institutional data to explore our research questions: (1) How are academic supports affecting students' academic skills and metrics of success? (2) How are mentorship and professional development activities affecting students' sense of belonging, purpose, and commitment to pursuing a STEM degree? (3) What is the relative importance of various program elements for retaining students in STEM? (4) How is the faculty mentor learning community affecting faculty perceptions of student experience and assets? (5) To what extent is the program providing responsive program supports and how can the program supports be improved? Results of the project will be published in journal articles and presented at conferences. Project information will also be available on a public website. This project is funded by NSF's Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "15732", "attributes": { "award_id": "2424180", "title": "S-STEM: Bothell Engineering and Technology Scholars", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "S-STEM-Schlr Sci Tech Eng&Math" ], "program_reference_codes": [], "program_officials": [ { "id": 32787, "first_name": "Gordon", "last_name": "Uno", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-08-01", "end_date": null, "award_amount": 1999995, "principal_investigator": { "id": 32790, "first_name": "Cinnamon", "last_name": "Hillyard", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 8271, "first_name": "Jennifer", "last_name": "McLoud-Mann", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 32788, "first_name": "Tadesse", "last_name": "Ghirmai", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 32789, "first_name": "Yusuf", "last_name": "Pisan", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 159, "ror": "https://ror.org/00cvxb145", "name": "University of Washington", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true }, "abstract": "The UW Bothell Engineering and Technology Scholars project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of high-achieving, low-income students with demonstrated financial need at the University of Washington Bothell. UW Bothell is a Minority Serving Institution, and its student body is one of the most diverse in the state where 38% of incoming first-year students are first generation and 28% are eligible for federal Pell Grants. Over its six-year duration, this Track 2 S-STEM project will fund scholarships to 60 unique full-time students who are pursuing bachelor's degrees in Engineering and Technology (E&T), including computer and software systems, computer engineering, mechanical engineering, electrical engineering, data visualization, mathematics, and physics. Project activities include dedicated math and science courses and cohort-based programming that provides academic success workshops, networking and career development opportunities, and faculty mentoring. Faculty mentors will learn about proven best practices and support each other through a faculty learning community. This project investigates which of several evidence-based strategies are the most effective in supporting and training low-income students specifically interested in E&T degrees through their journey from first year through graduation. In addition to measuring traditional elements of student success such as pass, persistence, and graduation rates, the project tracks students' sense of purpose, academic and social belonging, career readiness, and overall well-being. Faculty will deepen their understanding of the complex student experiences and use this knowledge to help address institutional barriers for all students entering UW Bothell in the post-pandemic era. The overall goal of this project is to increase STEM degree completion of academically talented, low-income undergraduates with demonstrated financial need. This project seeks to increase the percentage of students who complete an E&T major by providing coaching, dedicated academic support, and re-designed prerequisite courses; increase the number of students obtaining an E&T major by providing faculty mentoring, networking, and career development opportunities that promote a sense of belonging and a sense of purpose; and enhance faculty and staff ability to best support student populations by creating an ongoing faculty learning community. Currently, only 30% of incoming students who want to pursue E&T degrees graduate with an E&T degree, and the diversity of the incoming class is starkly different from the graduating class. National and institutional research indicates that the loss of UW Bothell students in E&T fields can be attributed to four primary barriers: financial burdens, early academic struggles, a lack of sense of belonging and purpose, and complex institutional systems. Research has shown that providing financial support, academic support through dedicated coursework and academic seminars, mentoring, cohort experiences, and/or career development opportunities can help bridge these barriers. The project will provide additional support to faculty mentors to help students overcome these barriers and provide faculty opportunities to learn about and address institutional barriers. Most research studies only examine one or two of these components. This project seeks to understand which combination of programing, academic support, pedagogical approaches, and faculty mentoring have the greatest impact for low-income students by implementing an extensive assessment plan. The assessment plan utilizes both formative and summative evaluation methods that include student and faculty mentor surveys, student focus groups, and monitoring of institutional data to explore our research questions: (1) How are academic supports affecting students' academic skills and metrics of success? (2) How are mentorship and professional development activities affecting students' sense of belonging, purpose, and commitment to pursuing a STEM degree? (3) What is the relative importance of various program elements for retaining students in STEM? (4) How is the faculty mentor learning community affecting faculty perceptions of student experience and assets? (5) To what extent is the program providing responsive program supports and how can the program supports be improved? Results of the project will be published in journal articles and presented at conferences. Project information will also be available on a public website. This project is funded by NSF's Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "15730", "attributes": { "award_id": "2515959", "title": "Determining how the evolution of the coronavirus macrodomain contributes to its biochemical and virological functions", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "Genetic Mechanisms" ], "program_reference_codes": [], "program_officials": [ { "id": 32783, "first_name": "Diana", "last_name": "Chu", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-08-01", "end_date": null, "award_amount": 1000000, "principal_investigator": { "id": 32785, "first_name": "Anthony", "last_name": "Fehr", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 32784, "first_name": "Robert L", "last_name": "Unckless", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 415, "ror": "", "name": "University of Kansas Center for Research Inc", "address": "", "city": "", "state": "KS", "zip": "", "country": "United States", "approved": true }, "abstract": "This project explores how macrodomain proteins have evolved to balance their different multiple biochemical activities. Macrodomains are ancient enzymes that bind to and remove ADP-ribose, an important post-translation modification that is critical in several cellular stress responses, including DNA damage, ER stress, and virus infection. These enzymes are conserved through all domains of life, including archaea, bacteria, eukaryotes, and viruses, indicating that they are critical for multiple cellular processes. However, the function of macrodomain enzymes in cell biology and microbiology are just now being uncovered. Furthermore, recent research indicates that macrodomains have evolved to properly balance their biochemical functions depending on if they are expressed from a virus, a bacteria, or from a eukaryotic cell. This project will evaluate how viral macrodomains have evolved to develop the ideal biochemical properties that allow them function in the context of a virus infection. This project also has strong educational and community outreach components. Most notably, students at all training levels will participate in this project and will learn how to evaluate the evolution of proteins through workshops in phylogenetics. This project will provide new insights into the fundamental biology of macrodomain enzymes and could lead to new insights into antiviral drug-development. This project aims to define how the coronavirus macrodomain has evolved to best function in the context of a virus infection using the mouse coronavirus, murine hepatitis virus (MHV), as a model. The use of MHV, which is unable to infect humans, for creating macrodomain mutations eliminates the potential for gain-of-function research. Research over the last decade has demonstrated that the coronavirus macrodomain blocks innate immune responses, is critical for viral pathogenesis, and is a potential drug target. Furthermore, the macrodomain uses both its ADP-ribose binding and hydrolysis activities to promote virus replication, and they must be balanced for optimal replication. The PI will use recombinant proteins and a panel of recombinant viruses, developed using a bacterial artificial chromosome based reverse genetic system, to better understand how highly conserved amino acids and selective pressure induced mutations impact Mac1 biochemical activities, virus replication, and pathogenesis using well-established assays and model systems. Additionally, macrodomains from across the evolutionary spectrum will be expressed in the context of MHV infection to define the evolutionary limits of macrodomain divergence that is tolerated in MHV. This work will provide a deeper understanding of how macrodomains have evolved to counter various ADP-ribose dependent antiviral responses. This project is jointly funded by the Genetic Mechanisms Program and the Division of Molecular and Cellular Biosciences. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "15729", "attributes": { "award_id": "2537244", "title": "Collaborative Research: Belmont Forum Collaborative Research: BIOrepositories build Adaptive and Resilient Capacity (BioARC)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Intl Global Change Res & Coord" ], "program_reference_codes": [], "program_officials": [ { "id": 7800, "first_name": "Maria", "last_name": "Uhle", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-08-15", "end_date": null, "award_amount": 762760, "principal_investigator": { "id": 32782, "first_name": "Kelly", "last_name": "Speer", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 32779, "first_name": "Elizabeth", "last_name": "Roberts", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 32780, "first_name": "Cody W", "last_name": "Thompson", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 32781, "first_name": "Derek Van", "last_name": "Berkel", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 301, "ror": "https://ror.org/0272j5188", "name": "Northern Arizona University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "This award provides support to U.S. researchers participating in a project competitively selected by a 55-country initiative on global change research through the Belmont Forum. The Belmont Forum is a consortium of research funding organizations focused on support for transdisciplinary approaches to global environmental change challenges and opportunities. It aims to accelerate delivery of the international research most urgently needed to remove critical barriers to sustainability by aligning and mobilizing international resources. Each partner country provides funding for their researchers within a consortium to alleviate the need for funds to cross international borders. This approach facilitates effective leveraging of national resources to support excellent research on topics of global relevance best tackled through a multinational approach, recognizing that global challenges need global solutions. Working together in this Collaborative Research Action, the partner agencies have provided support to foster global transdisciplinary research teams of natural, health and social scientists and stakeholders from across the globe to improve understanding of climate, environment and health pathways to protect and promote health. The projects will provide crucial new understanding into the health implications arising from the impacts of climate change and variability on; 1) decision-science approaches to adaptation and implementation, 2) food, environment, and biological security and 3) risks to ecosystems and populations. This award provides support for the U.S. researchers to cooperate in consortia that consist of partners from at least three of the participating countries to increase our knowledge of the complex linkages and pathways between the climate, environment and health to help solve complex challenges that face societies. The BioARC project seeks to develop an interdisciplinary network of scientists, health professionals, and stakeholders to build the missing physical, human, and material infrastructure to stop pandemics at their source. These various forms of infrastructure will be centered on the development of multiple in-country biorepositories spread throughout The Americas, where pathogens with pandemic potential (e.g., Zika, Andes Virus) and neglected tropical diseases (e.g., Dengue, Chagas, and hookworm infection) have previously emerged and spread. This new infrastructure will provide the critical spatial, temporal, and taxonomic sampling and associated informatics necessary to understand the role of environmental drivers in host-pathogen dynamics, enabling a more proactive and predictive approach to pathogen emergence. This project directly addresses a critical challenge to pandemic preparedness. COVID-19 directly illustrated the high costs of pandemics to human wellbeing and the persistent gaps in our approach to preventing pathogen emergence. As humans and wildlife increasingly share space, opportunities for spillovers grow. Additionally, environmental stresses can cause wildlife to shed pathogens more readily as stress induced by things like habitat loss, heat exposure, or food scarcity decreases immune functionality that would typically keep pathogen shedding low. The project will focus on improving biorepository infrastructure including equipment and databases. The project team will develop training modules on museum science, fieldwork, molecular genetics, informatics, geospatial data analysis, science communication, and interdisciplinary network development. The project will develop best practices for biorepositories and relational databases for pathogens, interdisciplinary workflows for wildlife pathogen surveillance, communication across One Health disciplines, and strategies for biorepository decision-maker coordination. The goal of developing best practices is to enable the standardization of procedures for similar efforts locally and globally, and to form the foundation for an early-warning system for zoonotic diseases that will improve U.S. national security and build the U.S. workforce. The project will reduce costs of outbreak response by creating the capacity and data to establish baselines for wildlife pathogen dynamics, detecting deviations from these baselines, informing models, and enabling timely biosecurity decisions. The project will develop a robust, enduring system to safeguard human and animal populations from infectious diseases. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "15729", "attributes": { "award_id": "2537244", "title": "Collaborative Research: Belmont Forum Collaborative Research: BIOrepositories build Adaptive and Resilient Capacity (BioARC)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Intl Global Change Res & Coord" ], "program_reference_codes": [], "program_officials": [ { "id": 7800, "first_name": "Maria", "last_name": "Uhle", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-08-15", "end_date": null, "award_amount": 762760, "principal_investigator": { "id": 32782, "first_name": "Kelly", "last_name": "Speer", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 32779, "first_name": "Elizabeth", "last_name": "Roberts", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 32780, "first_name": "Cody W", "last_name": "Thompson", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 32781, "first_name": "Derek Van", "last_name": "Berkel", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 301, "ror": "https://ror.org/0272j5188", "name": "Northern Arizona University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "This award provides support to U.S. researchers participating in a project competitively selected by a 55-country initiative on global change research through the Belmont Forum. The Belmont Forum is a consortium of research funding organizations focused on support for transdisciplinary approaches to global environmental change challenges and opportunities. It aims to accelerate delivery of the international research most urgently needed to remove critical barriers to sustainability by aligning and mobilizing international resources. Each partner country provides funding for their researchers within a consortium to alleviate the need for funds to cross international borders. This approach facilitates effective leveraging of national resources to support excellent research on topics of global relevance best tackled through a multinational approach, recognizing that global challenges need global solutions. Working together in this Collaborative Research Action, the partner agencies have provided support to foster global transdisciplinary research teams of natural, health and social scientists and stakeholders from across the globe to improve understanding of climate, environment and health pathways to protect and promote health. The projects will provide crucial new understanding into the health implications arising from the impacts of climate change and variability on; 1) decision-science approaches to adaptation and implementation, 2) food, environment, and biological security and 3) risks to ecosystems and populations. This award provides support for the U.S. researchers to cooperate in consortia that consist of partners from at least three of the participating countries to increase our knowledge of the complex linkages and pathways between the climate, environment and health to help solve complex challenges that face societies. The BioARC project seeks to develop an interdisciplinary network of scientists, health professionals, and stakeholders to build the missing physical, human, and material infrastructure to stop pandemics at their source. These various forms of infrastructure will be centered on the development of multiple in-country biorepositories spread throughout The Americas, where pathogens with pandemic potential (e.g., Zika, Andes Virus) and neglected tropical diseases (e.g., Dengue, Chagas, and hookworm infection) have previously emerged and spread. This new infrastructure will provide the critical spatial, temporal, and taxonomic sampling and associated informatics necessary to understand the role of environmental drivers in host-pathogen dynamics, enabling a more proactive and predictive approach to pathogen emergence. This project directly addresses a critical challenge to pandemic preparedness. COVID-19 directly illustrated the high costs of pandemics to human wellbeing and the persistent gaps in our approach to preventing pathogen emergence. As humans and wildlife increasingly share space, opportunities for spillovers grow. Additionally, environmental stresses can cause wildlife to shed pathogens more readily as stress induced by things like habitat loss, heat exposure, or food scarcity decreases immune functionality that would typically keep pathogen shedding low. The project will focus on improving biorepository infrastructure including equipment and databases. The project team will develop training modules on museum science, fieldwork, molecular genetics, informatics, geospatial data analysis, science communication, and interdisciplinary network development. The project will develop best practices for biorepositories and relational databases for pathogens, interdisciplinary workflows for wildlife pathogen surveillance, communication across One Health disciplines, and strategies for biorepository decision-maker coordination. The goal of developing best practices is to enable the standardization of procedures for similar efforts locally and globally, and to form the foundation for an early-warning system for zoonotic diseases that will improve U.S. national security and build the U.S. workforce. The project will reduce costs of outbreak response by creating the capacity and data to establish baselines for wildlife pathogen dynamics, detecting deviations from these baselines, informing models, and enabling timely biosecurity decisions. The project will develop a robust, enduring system to safeguard human and animal populations from infectious diseases. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "15729", "attributes": { "award_id": "2537244", "title": "Collaborative Research: Belmont Forum Collaborative Research: BIOrepositories build Adaptive and Resilient Capacity (BioARC)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Intl Global Change Res & Coord" ], "program_reference_codes": [], "program_officials": [ { "id": 7800, "first_name": "Maria", "last_name": "Uhle", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-08-15", "end_date": null, "award_amount": 762760, "principal_investigator": { "id": 32782, "first_name": "Kelly", "last_name": "Speer", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 32779, "first_name": "Elizabeth", "last_name": "Roberts", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 32780, "first_name": "Cody W", "last_name": "Thompson", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 32781, "first_name": "Derek Van", "last_name": "Berkel", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 301, "ror": "https://ror.org/0272j5188", "name": "Northern Arizona University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "This award provides support to U.S. researchers participating in a project competitively selected by a 55-country initiative on global change research through the Belmont Forum. The Belmont Forum is a consortium of research funding organizations focused on support for transdisciplinary approaches to global environmental change challenges and opportunities. It aims to accelerate delivery of the international research most urgently needed to remove critical barriers to sustainability by aligning and mobilizing international resources. Each partner country provides funding for their researchers within a consortium to alleviate the need for funds to cross international borders. This approach facilitates effective leveraging of national resources to support excellent research on topics of global relevance best tackled through a multinational approach, recognizing that global challenges need global solutions. Working together in this Collaborative Research Action, the partner agencies have provided support to foster global transdisciplinary research teams of natural, health and social scientists and stakeholders from across the globe to improve understanding of climate, environment and health pathways to protect and promote health. The projects will provide crucial new understanding into the health implications arising from the impacts of climate change and variability on; 1) decision-science approaches to adaptation and implementation, 2) food, environment, and biological security and 3) risks to ecosystems and populations. This award provides support for the U.S. researchers to cooperate in consortia that consist of partners from at least three of the participating countries to increase our knowledge of the complex linkages and pathways between the climate, environment and health to help solve complex challenges that face societies. The BioARC project seeks to develop an interdisciplinary network of scientists, health professionals, and stakeholders to build the missing physical, human, and material infrastructure to stop pandemics at their source. These various forms of infrastructure will be centered on the development of multiple in-country biorepositories spread throughout The Americas, where pathogens with pandemic potential (e.g., Zika, Andes Virus) and neglected tropical diseases (e.g., Dengue, Chagas, and hookworm infection) have previously emerged and spread. This new infrastructure will provide the critical spatial, temporal, and taxonomic sampling and associated informatics necessary to understand the role of environmental drivers in host-pathogen dynamics, enabling a more proactive and predictive approach to pathogen emergence. This project directly addresses a critical challenge to pandemic preparedness. COVID-19 directly illustrated the high costs of pandemics to human wellbeing and the persistent gaps in our approach to preventing pathogen emergence. As humans and wildlife increasingly share space, opportunities for spillovers grow. Additionally, environmental stresses can cause wildlife to shed pathogens more readily as stress induced by things like habitat loss, heat exposure, or food scarcity decreases immune functionality that would typically keep pathogen shedding low. The project will focus on improving biorepository infrastructure including equipment and databases. The project team will develop training modules on museum science, fieldwork, molecular genetics, informatics, geospatial data analysis, science communication, and interdisciplinary network development. The project will develop best practices for biorepositories and relational databases for pathogens, interdisciplinary workflows for wildlife pathogen surveillance, communication across One Health disciplines, and strategies for biorepository decision-maker coordination. The goal of developing best practices is to enable the standardization of procedures for similar efforts locally and globally, and to form the foundation for an early-warning system for zoonotic diseases that will improve U.S. national security and build the U.S. workforce. The project will reduce costs of outbreak response by creating the capacity and data to establish baselines for wildlife pathogen dynamics, detecting deviations from these baselines, informing models, and enabling timely biosecurity decisions. The project will develop a robust, enduring system to safeguard human and animal populations from infectious diseases. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "15724", "attributes": { "award_id": "2519776", "title": "The geography of H5N1 avian influenza in the United States: Human-environment ecosystem drivers of transmission and viral evolution", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Human-Envi & Geographical Scis" ], "program_reference_codes": [], "program_officials": [ { "id": 1931, "first_name": "Jeremy", "last_name": "Koster", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-10-01", "end_date": null, "award_amount": 496076, "principal_investigator": { "id": 32774, "first_name": "Michael", "last_name": "Emch", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 32773, "first_name": "Xiu-Feng H", "last_name": "Wan", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 166, "ror": "https://ror.org/0130frc33", "name": "University of North Carolina at Chapel Hill", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "This project investigates how avian influenza (bird flu) spreads and undergoes genetic changes and identifies the key factors driving these genetic changes and spread. It elicits the spatial and genetic patterns of avian influenza in birds, mammals, and humans, aiming to assess the pandemic potential of this virus, which has had a 50% mortality rate in people infected during the past 30 years. Understanding the risk of spillover to humans requires a comprehensive understanding of the influenza ecosystem, an interconnected network of factors involving humans, animals, and the environment. The findings are being organized into a database for public access to support translation of what is learned from the project to practice by informing and optimizing measures to mitigate both the economic impacts on the agricultural sector, a core sector of the bioeconomy, and the public health risks posed by emerging influenza variants. This study aims to understand the genetic evolution of avian influenza, particularly a highly pathogenic H5N1 virus lineage over time and identify the ecological factors that drive human infections and viral change. Central to the study is a systematic analysis and characterization of the spatiotemporal distributions of viral genotypes and their genetic divergence from precursor avian influenza viruses. It leverages advanced geospatial modeling, machine learning, and geospatial artificial intelligence (GeoAI) techniques to identify key viral traits, such as transmission potential and virulence, and to elucidate geographic ecosystem factors that influence the spread and evolution of the virus. The study generates a publicly available database that integrates information on more than 20,000 avian influenza viruses with associated human-animal-environment ecosystem variables. This database subserves translational support for research and private-sector preparedness. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "15723", "attributes": { "award_id": "2452299", "title": "Integrating Soft Skills with Technical Skills to Produce Next-Generation Cybersecurity Technicians", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Advanced Tech Education Prog" ], "program_reference_codes": [], "program_officials": [ { "id": 3736, "first_name": "R. Corby", "last_name": "Hovis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-10-01", "end_date": null, "award_amount": 565044, "principal_investigator": { "id": 32772, "first_name": "Alan", "last_name": "Gruver", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 32770, "first_name": "Kristopher R", "last_name": "Bradshaw", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 32771, "first_name": "David E", "last_name": "Oliver", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2607, "ror": "", "name": "Johnston Community College", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "This project aims to serve the national interest by producing more qualified technicians to meet workforce demands in cybersecurity. Keeping computers and information systems secure is a critical need and a major challenge in business, industry, and government. The growth of cyber-threats has created a need for many more workers who have the knowledge and skills to protect both existing and emerging technologies. Research and feedback from employers indicate that although graduates of cybersecurity programs are generally well-prepared technically, their soft skills remain underdeveloped. (This issue was exacerbated by primarily virtual interactions and remote work during the COVID-19 pandemic.) To address this gap, the investigators intend to integrate the targeted development of soft skills into core cybersecurity courses through structured team-based activities, simulations, and competition-style challenges. The project will focus on five competencies that cybersecurity professionals need in the workplace: communication, critical thinking, problem-solving, continuous learning, and attention to detail. The Business & Industry Leadership Team (BILT) that advises the college's cybersecurity program prioritized these soft skills for attention. The project team will directly embed them into course activities, assignments, and assessments. Specifically, the investigators aim to revise four existing cybersecurity courses -- Introduction to Cyber Crime, Introduction to Protocol Analysis, Security Administration, and Ethical Hacking with Python I -- to include mini-modules and challenge-based team assignments focusing on soft skills. Each course will focus on one or two of the five targeted soft skills, ensuring that each one is addressed in-depth within a technical context. Examples include group-based incident response briefings to strengthen communication and professionalism; packet analysis and network troubleshooting activities completed in teams to promote teamwork and problem-solving; and adaptive policy response scenarios that encourage flexibility and resilience. Each course will include clear learning outcomes, soft skill rubrics, and feedback mechanisms to assess both technical and interpersonal development. In addition, the investigators aim to establish a student cybersecurity competition team as a co-curricular activity and to bring elements of cyber-competition into the classroom for all students. Those activities will include in-class simulations modeled on capture-the-flag or red team/blue team competitions; structured team challenges with rotating roles to develop communication and adaptability; and opportunities for reflection and instructor feedback following simulations or live drills. By embedding a focused set of soft skills into core technical coursework and grounding students' experience in competition-style, gamified team activities, the redesigned cybersecurity program will provide a coherent, high-impact approach to cybersecurity education that aligns with workforce needs and promotes student success. This project is funded by the Advanced Technological Education program, which focuses on the education of technicians for the advanced-technology fields that drive the nation's economy. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "15723", "attributes": { "award_id": "2452299", "title": "Integrating Soft Skills with Technical Skills to Produce Next-Generation Cybersecurity Technicians", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Advanced Tech Education Prog" ], "program_reference_codes": [], "program_officials": [ { "id": 3736, "first_name": "R. Corby", "last_name": "Hovis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-10-01", "end_date": null, "award_amount": 565044, "principal_investigator": { "id": 32772, "first_name": "Alan", "last_name": "Gruver", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 32770, "first_name": "Kristopher R", "last_name": "Bradshaw", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 32771, "first_name": "David E", "last_name": "Oliver", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2607, "ror": "", "name": "Johnston Community College", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "This project aims to serve the national interest by producing more qualified technicians to meet workforce demands in cybersecurity. Keeping computers and information systems secure is a critical need and a major challenge in business, industry, and government. The growth of cyber-threats has created a need for many more workers who have the knowledge and skills to protect both existing and emerging technologies. Research and feedback from employers indicate that although graduates of cybersecurity programs are generally well-prepared technically, their soft skills remain underdeveloped. (This issue was exacerbated by primarily virtual interactions and remote work during the COVID-19 pandemic.) To address this gap, the investigators intend to integrate the targeted development of soft skills into core cybersecurity courses through structured team-based activities, simulations, and competition-style challenges. The project will focus on five competencies that cybersecurity professionals need in the workplace: communication, critical thinking, problem-solving, continuous learning, and attention to detail. The Business & Industry Leadership Team (BILT) that advises the college's cybersecurity program prioritized these soft skills for attention. The project team will directly embed them into course activities, assignments, and assessments. Specifically, the investigators aim to revise four existing cybersecurity courses -- Introduction to Cyber Crime, Introduction to Protocol Analysis, Security Administration, and Ethical Hacking with Python I -- to include mini-modules and challenge-based team assignments focusing on soft skills. Each course will focus on one or two of the five targeted soft skills, ensuring that each one is addressed in-depth within a technical context. Examples include group-based incident response briefings to strengthen communication and professionalism; packet analysis and network troubleshooting activities completed in teams to promote teamwork and problem-solving; and adaptive policy response scenarios that encourage flexibility and resilience. Each course will include clear learning outcomes, soft skill rubrics, and feedback mechanisms to assess both technical and interpersonal development. In addition, the investigators aim to establish a student cybersecurity competition team as a co-curricular activity and to bring elements of cyber-competition into the classroom for all students. Those activities will include in-class simulations modeled on capture-the-flag or red team/blue team competitions; structured team challenges with rotating roles to develop communication and adaptability; and opportunities for reflection and instructor feedback following simulations or live drills. By embedding a focused set of soft skills into core technical coursework and grounding students' experience in competition-style, gamified team activities, the redesigned cybersecurity program will provide a coherent, high-impact approach to cybersecurity education that aligns with workforce needs and promotes student success. This project is funded by the Advanced Technological Education program, which focuses on the education of technicians for the advanced-technology fields that drive the nation's economy. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 3, "pages": 1405, "count": 14046 } } }