Represents Grant table in the DB

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        {
            "type": "Grant",
            "id": "3578",
            "attributes": {
                "award_id": "1911849",
                "title": "Workshop to Enhance Collaboration Between US and Indonesia in Biodiversity and Conservation Research",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Biological Sciences (BIO)",
                    "Systematics & Biodiversity Sci"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 11604,
                        "first_name": "Christopher",
                        "last_name": "Balakrishnan",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2019-02-01",
                "end_date": "2022-01-31",
                "award_amount": 64965,
                "principal_investigator": {
                    "id": 11606,
                    "first_name": "Nyree",
                    "last_name": "Zerega",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 1136,
                            "ror": "",
                            "name": "Chicago Horticultural Society",
                            "address": "",
                            "city": "",
                            "state": "IL",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 11605,
                        "first_name": "Jeremie B",
                        "last_name": "Fant",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 1136,
                    "ror": "",
                    "name": "Chicago Horticultural Society",
                    "address": "",
                    "city": "",
                    "state": "IL",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Beyond the inherent value of life on earth, we all depend on biodiversity for our own well-being. Diverse and healthy ecosystems are the basis of many livelihoods, they provide clean air and water, offer recreational and tourism opportunities, and are a buffer to natural disasters. Biodiversity is also the basis for our food, much of the world?s medicine and many of the products we rely on. With increasing global threats to the survival and health of the world's biota, it is crucial to the environmental and economic health of the world to document, understand, and conserve biodiversity. This workshop aims to engage and prepare US biodiversity researchers for broad international and interdisciplinary collaborations and the development of infrastructure and predictive tools that can help address pressing biodiversity research and conservation needs globally, and in the US.\n\nThis workshop will take place in Indonesia, as a region that hosts a disproportionately large amount of global biodiversity. It engages US and Indonesian scientists working across disciplines of biodiversity science to discuss and strategize how to best collaborate in efforts to continue to discover, document, understand, and conserve biodiversity in a way that also considers human needs. Topics of the workshop will include building and managing successful collaborations, data sharing, applying new technologies to basic ecological and evolutionary questions as well as applied conservation issues, and training students and researchers at various career stages in valuable new technologies. The most immediate outcome of the workshop will be a publication identifying common and complementary areas of interests, synthesizing challenges and opportunities and recommending future steps in biodiversity research. The ultimate goal is to establish productive international research partnerships allowing for collaborative and comprehensive study of ecosystems and the biodiversity they encompass in a global context and facilitate international exchange and critical training of students and professionals, ultimately leading to more successful approaches for addressing global problems.\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": "5364",
            "attributes": {
                "award_id": "0725489",
                "title": "Workshop-Physiological Research, Integration, Synthesis, and Modeling Center, to be held in Santa Barbara, CA, March 17 - 19, 2007.",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Unknown",
                    "Physiolgcl Mechnsms&Biomechnsm"
                ],
                "program_reference_codes": [],
                "program_officials": [],
                "start_date": "2007-03-15",
                "end_date": "2008-02-29",
                "award_amount": 15000,
                "principal_investigator": {
                    "id": 18811,
                    "first_name": "Martin",
                    "last_name": "Frank",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 1401,
                            "ror": "https://ror.org/01y68k842",
                            "name": "American Physiological Society",
                            "address": "",
                            "city": "",
                            "state": "MD",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 18808,
                        "first_name": "Hannah V",
                        "last_name": "Carey",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 18809,
                        "first_name": "Terrie M",
                        "last_name": "Williams",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 18810,
                        "first_name": "James W",
                        "last_name": "Hicks",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 1401,
                    "ror": "https://ror.org/01y68k842",
                    "name": "American Physiological Society",
                    "address": "",
                    "city": "",
                    "state": "MD",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This small grant will support a workshop to evaluate and initiate a National Center Network focusing on a Physiological Research, Integration, Synthesis and Modeling (PRISM) program.  The concept will be explored during a two-day workshop on March 17-19, 2007 at the National Center for Ecological Analysis and Synthesis (NCEAS) facility (Santa Barbara, CA).  \n\n \n\nThe specific aims of this workshop are to develop a document that \n\n1) refines the key elements of the NCN-PRISM program to reflect the broad interests of the organismal biological community, \n\n2) identifies current and potential partners for this endeavor, and \n\n3) outlines a development scheme for supporting the program.  \n\n \n\nFifteen scientists representing the areas of physiological research, conservation, biomedicine, and zoological park communities have been identified to participate in this initial workshop.  Each has expressed an interest in the development of an integrated program for comparative and ecological physiology.   Through a series of presentations, discussions and writing assignments this group will evaluate the need, logistics and costs of creating a national center network for integrative physiology.  The NCEAS was selected as the location for the workshop to encourage discussions with its director concerning the successful steps towards developing a national synthesis center (using NCEAS as an example) and the potential for future collaboration with the proposed PRISM Center.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "13096",
            "attributes": {
                "award_id": "2203497",
                "title": "Workshop/Collaborative Research: The Frontiers of Artificial Intelligence-Empowered Methods and Solutions to Urban Transportation Challenges",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Engineering (ENG)",
                    "CIS-Civil Infrastructure Syst"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 2042,
                        "first_name": "Siqian",
                        "last_name": "Shen",
                        "orcid": null,
                        "emails": "[email protected]",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": [
                            {
                                "id": 169,
                                "ror": "",
                                "name": "Regents of the University of Michigan - Ann Arbor",
                                "address": "",
                                "city": "",
                                "state": "MI",
                                "zip": "",
                                "country": "United States",
                                "approved": true
                            }
                        ]
                    }
                ],
                "start_date": "2022-06-01",
                "end_date": null,
                "award_amount": 45000,
                "principal_investigator": {
                    "id": 29109,
                    "first_name": "Lili",
                    "last_name": "Du",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 158,
                    "ror": "https://ror.org/02y3ad647",
                    "name": "University of Florida",
                    "address": "",
                    "city": "",
                    "state": "FL",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This grant provides funds for a workshop that will gather researchers from transportation, computer science, and other relevant disciplines to explore the frontiers of artificial intelligence (AI)-empowered methods and solutions and future research directions to address urban transportation challenges. With the quickly growing quantity and variety of transportation data, AI technologies combined with other analytical methods have demonstrated a great potential to improve scientific understandings, transformative informed decisions, and innovative, proactive management solutions for urban transportation infrastructure systems, although significant challenges are also recognized. This workshop will attract distinguished experts from academia, industry, and government agencies to work together to identify the tremendous research and educational needs and challenges in developing AI-empowered methods and solutions to urban transportation challenges, and further stimulate transformative research and education activities in both transportation and AI communities.<br/><br/>This workshop includes two phases. Phase I has four podium sessions, one round-table discussion session, and one work session to investigate and document the potential and challenges of leveraging AI-empowered methods for fundamental urban transportation management research. Topics to discuss include traffic sensing and monitoring, congestion mitigation, shared mobility, user behavior, and associated equity and environmental issues. Phase II dedicates three podium sessions and one round-table discussion session to explore new education and training needs and directions for developing future workforce and responding to this big technology revolution in transportation. Overall, this two-phase workshop will produce a highly desired strategic research and education agenda for transportation and AI research communities to jointly develop AI-empowered methods and solutions to address urban transportation challenges and their workforce development needs.<br/><br/>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": "13097",
            "attributes": {
                "award_id": "2203485",
                "title": "Workshop/Collaborative Research: The Frontiers of Artificial Intelligence-Empowered Methods and Solutions to Urban Transportation Challenges",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Engineering (ENG)",
                    "CIS-Civil Infrastructure Syst"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 2042,
                        "first_name": "Siqian",
                        "last_name": "Shen",
                        "orcid": null,
                        "emails": "[email protected]",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": [
                            {
                                "id": 169,
                                "ror": "",
                                "name": "Regents of the University of Michigan - Ann Arbor",
                                "address": "",
                                "city": "",
                                "state": "MI",
                                "zip": "",
                                "country": "United States",
                                "approved": true
                            }
                        ]
                    }
                ],
                "start_date": "2022-06-01",
                "end_date": null,
                "award_amount": 45091,
                "principal_investigator": {
                    "id": 29110,
                    "first_name": "Yinhai",
                    "last_name": "Wang",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 159,
                    "ror": "https://ror.org/00cvxb145",
                    "name": "University of Washington",
                    "address": "",
                    "city": "",
                    "state": "WA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This grant provides funds for a workshop that will gather researchers from transportation, computer science, and other relevant disciplines to explore the frontiers of artificial intelligence (AI)-empowered methods and solutions and future research directions to address urban transportation challenges. With the quickly growing quantity and variety of transportation data, AI technologies combined with other analytical methods have demonstrated a great potential to improve scientific understandings, transformative informed decisions, and innovative, proactive management solutions for urban transportation infrastructure systems, although significant challenges are also recognized. This workshop will attract distinguished experts from academia, industry, and government agencies to work together to identify the tremendous research and educational needs and challenges in developing AI-empowered methods and solutions to urban transportation challenges, and further stimulate transformative research and education activities in both transportation and AI communities.<br/><br/>This workshop includes two phases. Phase I has four podium sessions, one round-table discussion session, and one work session to investigate and document the potential and challenges of leveraging AI-empowered methods for fundamental urban transportation management research. Topics to discuss include traffic sensing and monitoring, congestion mitigation, shared mobility, user behavior, and associated equity and environmental issues. Phase II dedicates three podium sessions and one round-table discussion session to explore new education and training needs and directions for developing future workforce and responding to this big technology revolution in transportation. Overall, this two-phase workshop will produce a highly desired strategic research and education agenda for transportation and AI research communities to jointly develop AI-empowered methods and solutions to address urban transportation challenges and their workforce development needs.<br/><br/>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": "5416",
            "attributes": {
                "award_id": "0738151",
                "title": "Workshop:   Climate over Landscapes; Boulder, Colorado; September 19-21, 2007",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Geosciences (GEO)",
                    "Geomorphology & Land-use Dynam"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 18927,
                        "first_name": "Richard",
                        "last_name": "Yuretich",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2007-08-01",
                "end_date": "2008-11-30",
                "award_amount": 73570,
                "principal_investigator": {
                    "id": 18930,
                    "first_name": "Ronald",
                    "last_name": "Martin",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 275,
                            "ror": "",
                            "name": "University Corporation For Atmospheric Res",
                            "address": "",
                            "city": "",
                            "state": "CO",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 18928,
                        "first_name": "Gerard H",
                        "last_name": "Roe",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 18929,
                        "first_name": "Joseph",
                        "last_name": "Galewsky",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 275,
                    "ror": "",
                    "name": "University Corporation For Atmospheric Res",
                    "address": "",
                    "city": "",
                    "state": "CO",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This collaborative proposal between UCAR/JOSS, Joe Galewsky (University of New Mexico) and Gerard Roe (University of Washington) is a request to the National Science Foundation to fund a topical workshop entitled Climate over Landscapes at the University of Colorado, September, 19-21, 2007.\n\nSome of the most significant advances in geoscience research over the last 20 years have come about through understanding the coupling of processes operating in the atmosphere (climate), on the Earth's surface (geomorphology), and within the Earth's crust (tectonics). Through this integration, the community is essentially rewriting the paradigm for understanding how mountain ranges come and go, how landscapes evolve and respond to both external and internal forcings, and how climate and the land surface co-evolve. The scope of the new paradigm spans many orders of temporal and spatial scale, from natural hazards (e.g., landslides) all the way through to mantle convection.\n\nOf all the couplings that are found to be important, few are as fundamental as that between surface and atmospheric processes - between geomorphology and climate. Recent advances put us in a position to forge serious links between the atmospheric communities and the earth-surface community: a) landscapes are being revealed to us at an unprecedented level of detail, largely though remote sensing techniques; b) advances in low-temperature geochronology and cosmogenic radionuclides allow for more confident dating of specific events and rates of processes; c) the theoretical development of physically-based geomorphic transport laws; d) computational advances permit mesoscale modeling of atmospheric processes on scales relevant to landscapes; and e) remote sensing of climate and vegetation affords unprecedented spatial and temporal observations. We are now able to know how the landscape is shaped, how fast it is shaped, and what the landscape really looks like.\n\nThe proposed workshop is about connecting these advances. Engaging the atmospheric sciences and landscape communities is critical if full advantage is to be taken of the possibilities available. Landscape dynamics can be seen as an archetypal case study of Earth System Science, spanning as it does, processes ranging from the crust deformation to cloud microphysics. The individual pieces are clearly in place. The challenge is in coming together as a community to figure out how to combine them as effectively as possible.\n\nGoals:-\n1. To engage the atmospheric science and landscape dynamics communities in a conversation about effective joint research directions and possible collaborations.\n2. For the landscape dynamics community: to get better acquainted with what can be known about relevant atmospheric processes, and to address how that knowledge might be incorporated into landscape dynamics research.\n3. For the atmospheric sciences community: to learn about the novel and exciting research opportunities in studying landscape dynamics; to challenge and extend existing understanding of climate by asking new questions from different perspectives.\n4. Generate a white paper for both the community at large and for the NSF, the purpose of which is to provide a state-of-the-art report and a research agenda, to be written by a smaller sub-set of the workshop participants. In order that the white paper is inclusive and as open as possible, we will circulate drafts to the community for comments, suggestions, etc.\n\nBroader Impacts:-\nEducational. 15 to 20 graduate students will be invited to the workshop. Their participation in charting a course for research for the future will be illuminating for them and will help ensure that the ideas raised have a long-term influence.\n\nIntellectual. Interdisciplinary collaboration is the future of Earth Sciences, and understanding landscape dynamics is one of the great challenges of the whole field. Historically progress has been impeded by traditional disciplinary boundaries. This workshop is an opportunity to establish a lasting legacy of greater communication.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "4100",
            "attributes": {
                "award_id": "1641072",
                "title": "WORKSHOP:   Doctoral Symposium at RecSys 2016",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Computer and Information Science and Engineering (CISE)",
                    "HCC-Human-Centered Computing"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 13770,
                        "first_name": "Ephraim",
                        "last_name": "Glinert",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2016-06-15",
                "end_date": "2018-05-31",
                "award_amount": 20932,
                "principal_investigator": {
                    "id": 13771,
                    "first_name": "Joseph",
                    "last_name": "Konstan",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 227,
                            "ror": "",
                            "name": "University of Minnesota-Twin Cities",
                            "address": "",
                            "city": "",
                            "state": "MN",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 227,
                    "ror": "",
                    "name": "University of Minnesota-Twin Cities",
                    "address": "",
                    "city": "",
                    "state": "MN",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This is funding to support participation by about 8 promising doctoral students along with about 6 senior members of the research community who will serve as mentors, in a Doctoral Symposium (workshop) to be held in conjunction with and immediately preceding the technical program at the 10th ACM Conference on Recommender Systems (RecSys 2016), which will take place September 15-19 on the MIT and IBM Research campuses in Boston, MA.  The ACM RecSys conferences are the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems.  Recommendation is a particular form of information filtering that exploits past behaviors and user similarities to generate a list of information items that is personally tailored to an end-user's preferences.  RecSys is attended annually by approximately 500 researchers and practitioners from academia and from many of the world's leading e-commerce companies, who come together to present their latest results and identify new trends and challenges in providing recommendation components in a range of innovative application contexts.  In addition to the main technical track, the RecSys 2016 program will feature keynote and invited talks as well as tutorials and workshops covering the state-of-the-art in this domain.  Research reports published in the Conference Proceedings are included in the ACM Digital Library, and are heavily refereed and widely cited.   More information about the conference may be found online at https://recsys.acm.org/recsys16/.\n\nThe goal of the RecSys Doctoral Symposium is to provide PhD students with an opportunity to present their work to a group of mentors and peers from a diverse set of academic and industrial institutions, to receive feedback on their doctoral research plan and progress, and to build a cohort of young researchers interested in similar research topics.  Student participants will each be allotted 45 minutes in which to present their ongoing thesis research (about 20 minutes) and to receive feedback from the other students and the mentors (about 25 minutes).  The feedback will be geared toward helping student participants understand and articulate how their work is positioned relative to other RecSys research, whether their topics are adequately focused for dissertation research projects, whether their methods are correctly chosen and applied, whether their results are being appropriately analyzed and presented, etc.  Discussion will be encouraged.  The symposium will conclude with a group dinner to help solidify new relationships.  In addition to the full day of the Symposium (on Friday September 16), during the main conference students will also present their dissertation work and plans in the form of a poster presentation to get fresh perspectives.  Thus, the Doctoral Symposium will give student participants exposure to their new research community, both by presenting their own work and by observing and interacting with established professionals in the field.  It will encourage students at this critical time in their careers to begin building a social support network of peers and mentors.  The organizers will take steps proactively to achieve diversity among the student participants by institution, country, research topic and approach, and demographics.  To this end, they will limit participation to one or two students per institution, depending on the number of applicants.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "583",
            "attributes": {
                "award_id": "2049670",
                "title": "Workshop:  Aligning AI and U.S. Advanced Manufacturing Competitiveness",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Engineering (ENG)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 1265,
                        "first_name": "Bruce",
                        "last_name": "Kramer",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-09-01",
                "end_date": "2021-08-31",
                "award_amount": 98280,
                "principal_investigator": {
                    "id": 1266,
                    "first_name": "James F",
                    "last_name": "Davis",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 151,
                            "ror": "",
                            "name": "University of California-Los Angeles",
                            "address": "",
                            "city": "",
                            "state": "CA",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 151,
                    "ror": "",
                    "name": "University of California-Los Angeles",
                    "address": "",
                    "city": "",
                    "state": "CA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The Workshop on Aligning AI and U.S. Advanced Manufacturing Competitiveness will convene the advanced manufacturing research and practitioner communities, relevant companies, federal agencies and national laboratories and the Manufacturing USA Institutes and experts in artificial intelligence (AI) and machine learning (ML) applications, information technology, and computer science to comprehensively assess the role of AI in manufacturing competitiveness. The workshop, held under the auspices of the Subcommittee on Advanced Manufacturing and the Subcommittee on Machine Learning and Artificial Intelligence of the National Science and Technology Council, seizes on a moment of opportunity that results from the converging effects of the accelerating digital transformation of the global manufacturing industry, major global competitiveness drivers for both advanced manufacturing and AI/ML, and the sustained impacts of the COVID-19 pandemic on manufacturing supply chains.  When taken together, there emerges a need to: accelerate a U.S. manufacturing consensus on resilient manufacturing as a priority, address how the digital transformation of manufacturing shapes and is shaped by that transformation, and focus national attention on AI/ML technologies in the context of the nation’s manufacturing priorities. The workshop will be a professionally-managed, virtual teleconference that will emphasize the following manufacturing priorities related to digitalization: manufacturing ecosystem and supply chain restructuring, connectedness, visibility, interoperability, and agility in preparing for and responding to global and national disruptions; greater performance and precision in advanced process and machine operations as key assets in resilient manufacturing ecosystems; a safe and healthy, broadly-skilled, and data-savvy workforce that can be more flexibly deployed; and industry data flow and exchange, cyber opportunity, and national cyber and data security.   The workshop will generate a cross-stakeholder consensus on what roles AI has and can have in improving U.S. manufacturing competitiveness and promoting collaboration by the advanced manufacturing and AI/ML research communities in formulating a national strategy that encompasses the workforce, technology and implementation.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": "5091",
            "attributes": {
                "award_id": "1049144",
                "title": "WORKSHOP:  Computer-Supported Cooperative Work Doctoral Colloquium",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Computer and Information Science and Engineering (CISE)",
                    "HCC-Human-Centered Computing"
                ],
                "program_reference_codes": [],
                "program_officials": [],
                "start_date": "2010-07-15",
                "end_date": "2011-06-30",
                "award_amount": 25783,
                "principal_investigator": {
                    "id": 18176,
                    "first_name": "Gloria",
                    "last_name": "Mark",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 177,
                    "ror": "",
                    "name": "University of California-Irvine",
                    "address": "",
                    "city": "",
                    "state": "CA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This workshop will support the Doctoral Colloquium (DC) at ACM Conference on Computer Supported Cooperative Work (CSCW 2011) in Hangzhou, China (March 19-23, 2011). The workshop will bring together 15 dissertation-stage doctoral students in the field of CSCW for one day of talks and interaction with six mentors who are distinguished CSCW researchers from Universities and top research laboratories. The focus of the CSCW DC is the students? doctoral dissertation research which represent state-of-the-art research in the field of computer-supported cooperative work. The DC allows the students to create a social network both among themselves and with several senior researchers, which plays a major role in their enculturation into the profession. The students and faculty will be a diverse group on several dimensions (gender, race, nationality, scientific discipline), broadening the students? experiences at a critical stage in their professional development.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "3001",
            "attributes": {
                "award_id": "1944020",
                "title": "Workshop:  Deciphering the Microbiome:  Exploiting theory, cross-system analyses, and innovative analytics to propel advances in microbiome science; Dec. 8-10, 2019; Alexandria, VA",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Biological Sciences (BIO)",
                    "Symbiosis Infection & Immunity"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 9194,
                        "first_name": "Joanna",
                        "last_name": "Shisler",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2019-09-01",
                "end_date": "2021-08-31",
                "award_amount": 99000,
                "principal_investigator": {
                    "id": 9195,
                    "first_name": "Linda",
                    "last_name": "Kinkel",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 227,
                            "ror": "",
                            "name": "University of Minnesota-Twin Cities",
                            "address": "",
                            "city": "",
                            "state": "MN",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 227,
                    "ror": "",
                    "name": "University of Minnesota-Twin Cities",
                    "address": "",
                    "city": "",
                    "state": "MN",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Non-technical paragraph:  Every habitat on earth host its own microbiome, which can include bacteria, viruses, fungi, and protists.  Recognition of the diversity and complexity of microbial communities that colonize humans, plants, animals, soil, and water has changed in fundamental ways how we think about the relationships between big and small organisms, as well as our basic understanding of disease, health, and immunity.  Collectively, there is widespread recognition of the significant roles that microbiomes play in organismal and ecosystem health and functioning, and significant incentives to harness this potential.  Private investments in microbiome research have expanded dramatically over the past decade, with hundreds of companies focusing on the potential manipulation or management of microbiomes in human and animal medicine and in agriculture.  Despite the expanding research footprint, there have been remarkably few deliberate efforts to engage researchers across the breadth of microbiome science in discussions of key resource needs?conceptual, technical, or analytical?to support cross-cutting advances.  The project will support a workshop bringing together 60+ scientists in person, plus another 100+ scientists virtually, including researchers working on plant, animal, environmental, and human microbiomes.  Participants will use ecology and evolutionary biology as an integrating framework, as they provide a powerful context for integrative, cross-discipline discussion.  Small-group and interactive sessions will stimulate researchers to identify key resource and knowledge gaps across microbiome science, conceptual and theoretical foundations that can advance hypothesis testing, big ideas to drive advances in microbiome applications, and a path forward for collaborative research and synthetic analyses.  \n\nTechnical paragraph:  Significant technical innovations have propelled exponential increases in the volume of microbiome data generated over the past decade.  Yet development of conceptual, theoretical, and practical infrastructure to advance our collective understanding of microbiomes lags behind.  Microbiome research suffers from a lack of reliance on explicit conceptual frameworks for ecological and evolutionary hypothesis testing, and there have been few attempts to develop generalizable models for microbiome community dynamics or assembly.  Moreover, fragmentation of research efforts across systems (animal, human, plant, environmental), and even among researchers using different approaches to study the same system, has restricted opportunities to identify common principles of microbiome structure or organization.  This workshop will address these gaps, targeting 4 objectives:  1. Explore cross-cutting themes and key challenges in microbiome science; 2. Facilitate advances in the development of rigorous ecological foundations and hypothesis-testing within microbiome research; 3. Stimulate the search for generalizable concepts, principles, and language for microbiome assembly and functions; 4. Identify key cross-community knowledge and resource gaps and opportunities for advancing the field.  The workshop will provide significant opportunities for cross-disciplinary scientific interactions to advance the microbiome research community.  Early-career post-doctoral scientists will be enlisted to serve as virtual discussion leads, providing an opportunity to develop skills in distance communication to support new models for scientific meetings and education.  Collectively, this workshop will identify critical gaps in resources and understanding of microbiomes across disciplines, and stimulate community-wide, collaborative efforts to address these key resource and knowledge gaps.\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": "5156",
            "attributes": {
                "award_id": "0930811",
                "title": "Workshop:  Models of Intercultural Service Systems: Scholarly Discussion for Building a Research Agenda; San Juan, Puerto Rico;May 19 to 22, 2009",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Unknown",
                    "SERVICE ENTERPRISE SYSTEMS"
                ],
                "program_reference_codes": [],
                "program_officials": [],
                "start_date": "2009-04-01",
                "end_date": "2011-12-31",
                "award_amount": 44987,
                "principal_investigator": {
                    "id": 18318,
                    "first_name": "Viviana",
                    "last_name": "Cesani",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 1024,
                            "ror": "",
                            "name": "University of Puerto Rico Mayaguez",
                            "address": "",
                            "city": "",
                            "state": "PR",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 18317,
                        "first_name": "Omell",
                        "last_name": "Pagan-Pares",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 1024,
                    "ror": "",
                    "name": "University of Puerto Rico Mayaguez",
                    "address": "",
                    "city": "",
                    "state": "PR",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Workshop: Models of Intercultural Service Systems: Scholarly Discussion for Building a Research Agenda \n\nSan Juan, Puerto Rico,   May 19 to 22, 2009 \nChairperson:  Alexandra Medina-Borja, Ph.D.\nOmell Pagán, Ph.D.,  Viviana Cesaní, Ph.D.\nInternational Service Systems Engineering Research Lab, Industrial Engineering Department, University of Puerto Rico at Mayaguez\n\n\nThis grant will provide funding for a research workshop involving a wide range of interdisciplinary researchers discussing and identifying key aspects of inter-cultural service encounters in the design and implementation of service delivery systems. The standardization of services is difficult, if not impossible, because of the customer participation in the service ?co-production?.  Some attempts have been made to incorporate human considerations into service models, but truly interdisciplinary system design has not yet occurred.  Service system design, and the accompanying technology, is usually the work of engineers and computer scientists while services and culture have been studied by marketing researchers, behavioral scientists, anthropologists, ethnographers and human resources researchers. Thus, a truly inter-disciplinary research workshop is needed to foster this new field of inquiry and advance a research agenda.  The main goal of the workshop is to hasten the development of modeling frameworks that include inter-cultural considerations by fostering interdisciplinary research among a variety of fields, academic disciplines and technical clusters spanning the areas of, but not limited to, industrial engineering, complex systems, cognitive and behavioral science, anthropology/ethnography, information systems, and management and human resources. \n\nIf successful, this workshop will (1) identify and extend an inter-cultural service systems (ICSS) research community; (2) define ICSS issues and propose interdisciplinary methodologies and, (3) articulate a common agenda for the emerging research frontier of inter-cultural Service Science and Engineering. The development of this research direction is of increasing importance given the distributed locations of service providers and their customers; sometimes coming from radically different cultures. For the diverse participants in the service encounter, perceptions of politeness, time, sympathy and expertise might be quiet different. Call centers in international locations, hotel chains, and domestic health care centers serving diverse populations are only few of the many service systems whose design would benefit from this research direction.",
                "keywords": [],
                "approved": true
            }
        }
    ],
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        "pagination": {
            "page": 1419,
            "pages": 1424,
            "count": 14236
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}