Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=3&sort=funder
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=funder", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=funder", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=4&sort=funder", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=2&sort=funder" }, "data": [ { "type": "Grant", "id": "2888", "attributes": { "award_id": "1853759", "title": "Understanding the Use of Ecosystem Services Concepts in Environmental Policy", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "Geography and Spatial Sciences" ], "program_reference_codes": [], "program_officials": [ { "id": 8698, "first_name": "Tom", "last_name": "Evans", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-07-15", "end_date": "2023-12-31", "award_amount": 390183, "principal_investigator": { "id": 8699, "first_name": "Pamela", "last_name": "McElwee", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 218, "ror": "", "name": "Rutgers University New Brunswick", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 218, "ror": "", "name": "Rutgers University New Brunswick", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true }, "abstract": "This project will examine how and why the concept of ecosystem services (ES) has become an important component of environmental policy. Ecosystem services are broadly defined as the benefits humans obtain from ecosystems and the services they provide. This research will investigate what institutions and policymakers are using the concept of ecosystem services and how this use differs from previous ways of conceptualizing the environment in policy. It will also explain the potential successes and failures of this new approach in improving environmental management. Understanding the important role that social and technical factors play in shaping these concepts and use in policy is important as payments for ecosystem services have been promoted as a solution to a variety of environmental problems. This research explores how ecosystem services are used in diverse policy settings, and how the translation of ecosystem functions into monetary valuation has evolved in different contexts. The project will benefit society by highlighting what types of policies are more effective in engaging stakeholders in more appropriate ways. The project will also strengthen social science research on environmental policy-making while building improved global scientific understanding among undergraduate and graduate students.\n \nDespite the growing attention to ecosystem services (ES) concepts, there remain major challenges regarding clarifying the values underlying the concept and translating it into policy. These challenges include identifying what counts as an ES, ranging from physical goods like timber to regulating services like soil erosion control to more intangible \"cultural ES\"; how ES can be valued in ways that incorporate diverse viewpoints and understandings of nature; and how payments or compensation for provisioning of ES can be designed and delivered in ways that are socially beneficial. This research project will aim to answer two key research questions: (1) How are ES defined, measured, and prioritized by different actors in policymaking? (2) How are different ES turned into economic values and through what means, and why are some ES paid for, while others are not? The research project will use mixed methods, including focus groups, participatory mapping, and interviews to assess local understanding, use, and valuation of ES in three watershed-based case studies, as well as interviews with national and international policymakers and scientists to understand the uptake of ES concepts, culminating in the construction of an ES database. While this project will assess these questions using case studies from Southeast Asia, the findings are highly applicable outside the region, and can illuminate ways to improve environmental policy-making and ecosystem benefit sharing in the US and beyond.\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": "2873", "attributes": { "award_id": "1918177", "title": "Doctoral Dissertation Research: Language, race, and Identity among ethnically diverse youths in Miami", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "DDRI Linguistics" ], "program_reference_codes": [], "program_officials": [ { "id": 8628, "first_name": "Tyler", "last_name": "Kendall", "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": 17901, "principal_investigator": { "id": 8630, "first_name": "Kathryn", "last_name": "Campbell-Kibler", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 308, "ror": "", "name": "Ohio State University", "address": "", "city": "", "state": "OH", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 8629, "first_name": "Nandi", "last_name": "Sims", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 308, "ror": "", "name": "Ohio State University", "address": "", "city": "", "state": "OH", "zip": "", "country": "United States", "approved": true }, "abstract": "The relatively recent migration of Haitians to South Florida has rapidly changed the demographics of Miami Dade County's majority Black neighborhoods. This has caused tensions between the newly arrived Haitian ethnic group and the historically established African Americans. Residents of both ethnicities note that these tensions begin in middle school. This longitudinal study follows a set of new sixth grade students through their first year at a middle school. These participants will need to learn the middle school community's expectations of acceptable racial and ethnic interactions and they will need to join or create social groups that either uphold or abandon these social expectations. As they are adapting to these social expectations, they will be subtly changing their speech to show solidarity with their own social groups and to create social distance from other groups. The life stage of these middle school participants is incredibly important for their own growth into adolescent and adult members of their communities which, in turn, is important for the further development of the societies to which they belong. This work will advance the scientific understanding of how youths learn social expectations and apply that knowledge to their own linguistic behaviors. It will also expand research on language variation by applying previous knowledge to understudied, diverse social groups. This study's broader impacts include publicly available recordings of youth speech, a workshop on language variation and ethnic bullying for teachers and administration in the middle school, and the dissemination of the sociolinguistic knowledge to the general public via press releases. \n\nThe CoPI, a doctoral student at the Ohio State University, will conduct ethnographic fieldwork in a Miami middle school concentrating the data collection and analysis on a set of 20 to 30 sixth grade students belonging to the same homeroom. This project focuses on the ethnic make-up of the social groups of African and Haitian American students and quantifies the changes in speech that these new students experience as they become enmeshed into the middle school's particular social environment. Two dependent linguistic variables will be analyzed for this project: 3rd person singular verbal-s absence and prosodic rhythm. 3rd person singular verbal-s will be coded as present or absent for each present tense, present reference phrase. A number of factors that influence -s usage, such as verb type and sentence structure, will also be coded. Prosodic rhythm will be measured using a host of established rhythm measures (PVI, %V, ∆C, and varcoC). These two linguistic variables have been shown to vary because of bilingualism and social identity; as a result, this project has two primary independent variables: language background and social network. This project employs a mixed methodological approach that is becoming more common in linguistic anthropological and sociolinguistic work. It includes diverse data collection methods: participant observation, audio-recorded linguistic and ethnographic interviews, network analysis, and a language background questionnaire. The data analysis includes both statistical analysis and qualitative coding, which adds depth to the results. The findings of this study will widen the sociolinguistic knowledge of Miami, Black communities, and the US-at-large.\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": "2847", "attributes": { "award_id": "1921854", "title": "DMREF: Tuning Liquid Crystallinity in Conjugated Polymers to Simultaneously Enhance Charge Transport and Control Mechanical Properties", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "DMREF" ], "program_reference_codes": [], "program_officials": [ { "id": 8507, "first_name": "Peter", "last_name": "Anderson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-10-01", "end_date": "2023-09-30", "award_amount": 1750000, "principal_investigator": { "id": 8510, "first_name": "Enrique", "last_name": "Gomez", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 219, "ror": "", "name": "Pennsylvania State Univ University Park", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 8508, "first_name": "Ralph H", "last_name": "Colby", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 8509, "first_name": "Scott T", "last_name": "Milner", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 219, "ror": "", "name": "Pennsylvania State Univ University Park", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true }, "abstract": "Non-technical Description: The proposed computationally-guided approach will provide an accelerated materials design framework useful for both academic and industrial efforts to accelerate the development of conjugated polymers for flexible electronics. The work is designed to leverage progress in the prediction and measurement of fundamental properties of conjugated polymers, and move forward along the materials development continuum. Key efforts integrate theory, simulations, and experiments, both through the development of new tools and by refining concepts of how microstructure governs charge transport in conjugated polymers. Furthermore, the Principal Investigators will develop an ambitious outreach pilot program that uses research activities as tools for improving educational opportunities and outcomes for students at non-PhD institutions (such as community colleges). Penn State is a unique microcosm of the broader higher education ecosystem, because it consists of a central research-intensive campus that is integrated with 19 largely two-year commonwealth campuses serving more diverse student populations - making Penn State an ideal incubator to explore the use of research as a recruiting and retention tool. In collaboration with the Leonhard Center for the Enhancement of Engineering Education at Penn State, the proposed work will establish a data-driven program to translate computational tools from the proposed technical objectives into web-based research experiences targeting Science, Technology, Engineering, and Mathematics (STEM) students at Penn State commonwealth campuses. \n\nTechnical Description: The work within this proposal leverages previous advances to predict the persistence length, glass transition temperature and nematic-to-isotropic transition temperature. The proposed project aims to further advance computational materials design, by developing tools capable of accelerating the prediction of mechanical and conductive properties. Three computational tools will be developed: coarse-grained models based on force-matching to accelerate computational design of liquid crystalline semiflexible polymers, chain-shrinking simulations to predict the effect of liquid crystallinity on entanglement, and tight-binding models to explore the role of packing and disorder on charge transport. The combination of simulations and experiments will be crucial to generate accurate coarse-grained simulations capable of predicting liquid crystallinity through the Principal Investigators' approach that combines molecular dynamics simulations with self-consistent field theory calculations. This will enable the systematic computational exploration of backbone and side chain architectures that are validated with selected synthesized model materials. Simulations and experiment will also be crucial to incorporate nematic order in the Principal Investigators' unified theory of polymer entanglements, and thereby provide a tool capable of predicting rheological properties (e.g. mechanical properties) of conjugated polymers from the chemical structure. Furthermore, tight-binding models will predict the role of packing and local disorder on charge transport, to explore the hypotheses that layered disordered phases can play a crucial role in promoting efficient charge transport by facilitating pi-stacking. Such models will be validated by measurements of the charge mobility as a function of temperature and within various crystalline, liquid crystalline, or isotropic phases.\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": "2820", "attributes": { "award_id": "1916096", "title": "SaTC: CORE: Medium: Collaborative: Safety and Security for Targets of Digital Violence", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Secure &Trustworthy Cyberspace" ], "program_reference_codes": [], "program_officials": [ { "id": 8398, "first_name": "Sara", "last_name": "Kiesler", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-10-01", "end_date": "2023-09-30", "award_amount": 849913, "principal_investigator": { "id": 8401, "first_name": "Nicola", "last_name": "Dell", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 279, "ror": "https://ror.org/05bnh6r87", "name": "Cornell University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 8399, "first_name": "Thomas", "last_name": "Ristenpart", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 8400, "first_name": "Karen", "last_name": "Levy", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 279, "ror": "https://ror.org/05bnh6r87", "name": "Cornell University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "This research has a foundational, multi-disciplinary research agenda that examines the role of technology in intimate partner violence and investigates the development of new tools, techniques, and theories to combat technology-enabled abuse. The work is important because digital technologies play an increasingly prominent role in domestic violence, stalking, and surveillance by abusive partners and others known to the victim. The research builds on prior work detailing the ways in which abusers exploit technology to monitor, harass, track, and control victims. This kind of abuse challenges common approaches to computer security: although the attacks that abusers employ are often technically unsophisticated, the social and relational contexts in which attacks occur make them difficult to prevent. \n\nThe proposed work weaves together research activities including building measurement platforms for making sense of abuser communities that are found online, designing tools for detecting spyware or apps usable as spyware on victim devices, developing a theory of adversary-aware human computer interaction that will guide user interface design in the face of adversaries that have a victim's login credentials, analyzing the efficacy of general consumer privacy legislation for abuse contexts, and seeking out pragmatic law and policy recommendations. The research makes the safety of (potential) victims paramount, which is facilitated by working closely with stakeholder organizations.\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": "2995", "attributes": { "award_id": "1916727", "title": "Planning IUCRC at Colorado School of Mines: Energy Information Nexus (EIN)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "IUCRC-Indust-Univ Coop Res Ctr" ], "program_reference_codes": [], "program_officials": [ { "id": 9167, "first_name": "Prakash", "last_name": "Balan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-08-15", "end_date": "2020-07-31", "award_amount": 15000, "principal_investigator": { "id": 9168, "first_name": "Gregory", "last_name": "Jackson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 621, "ror": "https://ror.org/04raf6v53", "name": "Colorado School of Mines", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 621, "ror": "https://ror.org/04raf6v53", "name": "Colorado School of Mines", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "abstract": "Data centers represent ~2% of all electricity consumption in the United States, with a projected growth rate of 12% per year. Cloud service companies and mechanical/electrical infrastructure suppliers must continuously adapt to satisfy this growing demand, while meeting reliability, cost, and sustainability targets. Rather than focusing on energy and computing as separate problems, the Energy Information Nexus (EIN) consortium supports development of a new generation of data centers that embed power production and storage into the data center itself. On-site power at the rack or pod level offers many strategic advantages, including redundancy and reliability (eliminating the need for backup power), high efficiency, improved load following and supply management, as well as technological pathways to renewable energy based on stored fuels derived from intermittent wind and solar power. \n\nEIN will collaborate with industry and government partners to explore the use of fuel cells, batteries, supercapacitors, DC power networks, and other energy technologies in data centers, and to identify and overcome key process and technology bottlenecks. Through collaborative research, industrial forums, educational initiatives, and public outreach, EIN will advance data center engineering as a leading arena for distributed power and energy storage, and facilitate our nation's transition toward energy sustainability. The Energy Information Nexus (EIN) will fulfill these goals through the following mission objectives: Conducting technoeconomic analyses and system modeling of new approaches to data center energy architecture. Quantitative case studies by EIN will allow members to forecast the directions of technology and business and to better position themselves for growth in this area. Performing pre-competitive research that accelerates development of embedded energy technology relevant to data centers. EIN research will focus on fundamental problems residing at key bottlenecks or junctures among technologies identified by industrial members. Interdisciplinary training of students to foster broad understanding of both computing and energy technology. EIN will bridge the divide between these technology arenas and create a new generation of engineers who understand the opportunities and constraints of both. Facilitating development of supply-chain standards with widespread support among industrial participants. EIN will help members develop new infrastructure and supply-chain standards such that participants in the supply chain share risk and synchronize businesses growth. Industrial and government membership of the EIN will span four principle overlapping business sectors including end users, infrastructure providers, energy technology developers, and utilities to facilitate a broad discussion to achieve the consortium's mission.\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": "2943", "attributes": { "award_id": "1940264", "title": "CoPe Conference: Interoperability and data needs of models for understanding vulnerability of coastal systems to stresses and shocks associated with sea level rise: Miami, 2020", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "CoPe-Coastlines and People" ], "program_reference_codes": [], "program_officials": [ { "id": 8918, "first_name": "Manda S.", "last_name": "Adams", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-01-01", "end_date": "2022-09-30", "award_amount": 99137, "principal_investigator": { "id": 8922, "first_name": "Jayantha", "last_name": "Obeysekera", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 207, "ror": "https://ror.org/02gz6gg07", "name": "Florida International University", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 8919, "first_name": "Michael C", "last_name": "Sukop", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 8920, "first_name": "Tiffany", "last_name": "Troxler", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 8921, "first_name": "Sparkle L", "last_name": "Malone", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 207, "ror": "https://ror.org/02gz6gg07", "name": "Florida International University", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true }, "abstract": "Projected environmental changes, including sea level rise and increased frequency and intensity of storm events, are leading to rapid departures from past trends. However, the ability to model, predict, and understand the impacts of these changes is extremely limited. This is especially of great concern for coastal cities with high population density, valuable properties and tax base, and extremely vulnerable and underserved communities. This is a complex problem requiring an integrated approach that accounts for potential physical, ecological and socioeconomic impacts of projected environmental change. Therefore, goal of this conference to bring together an interdisciplinary group of experts to develop an Integrated Environmental Modeling system. A single model cannot simulate every potential impact, so numerous models have been developed to address subsets of these effects. Conference participants will focus on developing an integrated approach by addressing the interoperability of the various models across social, ecological, and physical factors. The conference will include a diverse group of participants, with a specific emphasis on recruiting students and stakeholders from vulnerable, underserved communities. \n\nResults based on model simulations play a pivotal role in understanding vulnerabilities of both natural and built environments in coastal regions. Land- based models that simulate flooding due to sea level rise, storm surge, waves, inland rainfall, and, in some cases, groundwater levels are maturing. Models for predicting economic losses due to property damage and service interruptions are also being developed. Discussions are also underway for how to model human behavior in coastal environments in the presence of increasing frequency of flooding that is expected from enhanced stresses and shocks due to projected environmental changes. This Coastlines and People conference will review the current state of each category of models, their requirements in terms of spatial and temporal resolution of information necessary for integrated assessment and, more importantly, develop an appropriate coastal observation system to test and improve the interoperability of these models. Conference participants will provide guidance on interoperability that can serve as a \"standard of practice\" among the modeling community.\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": "2960", "attributes": { "award_id": "1937671", "title": "FSML: Acquisition of a Raman Microscope at the Skidaway Institute of Oceanography", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "ICB: Infrastructure Capacity f" ], "program_reference_codes": [], "program_officials": [ { "id": 9002, "first_name": "Peter", "last_name": "McCartney", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-11-01", "end_date": "2021-10-31", "award_amount": 207500, "principal_investigator": { "id": 9007, "first_name": "Jay", "last_name": "Brandes", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 160, "ror": "", "name": "University of Georgia Research Foundation Inc", "address": "", "city": "", "state": "GA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 9003, "first_name": "Marc E", "last_name": "Frischer", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 9004, "first_name": "William B", "last_name": "Savidge", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 9005, "first_name": "Clifton", "last_name": "Buck", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 9006, "first_name": "Daniel C", "last_name": "Ohnemus", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 160, "ror": "", "name": "University of Georgia Research Foundation Inc", "address": "", "city": "", "state": "GA", "zip": "", "country": "United States", "approved": true }, "abstract": "This project is to purchase and install a confocal Raman microscope (CRM) at the University of Georgia's Skidaway Institute of Oceanography (SkIO). Many of the research problems in marine science involve the study of small particles and organisms. Most current methods for studying small samples require grouping large numbers of individual particles together to obtain enough material for analysis. Pooling samples can obscure critical details of the diversity of particle composition and structure within them. The CRM can obtain chemical compositional data for individual particles smaller than a micron in size, and it can automatically map sample composition over much larger scales in fine detail. The capacity to image both organic and inorganic chemical structure has direct application to the fields of marine microbiology, chemistry, ecology and geology. The presence of a CRM at a southeastern coastal laboratory will allow regional scientists to address new research questions in ocean science. The new analytical capabilities will directly improve the funded activities of 75% of SkIO?s faculty in addition to external, collaborating scientists from the southeastern US and beyond. Additionally, the highly visual output of the CRM will allow educators, citizen-scientists, and the public to better understand the research conducted at SkIO and by visiting scientists.\n\nThis proposal seeks funds for the acquisition of a Horiba Jobin Yvon XploRA PLUS Confocal Raman microscope, equipped with 532 nm and 785 nm lasers, motorized and software-controlled XYZ sample stage, an integrated safety shield, and associated autofocus, calibration, particle mapping, chemical identification and statistical analysis software and uninterruptible power supply. The requested instrument will add significant, high-resolution imaging and spectroscopic capability to an existing particle counting and image analysis facility in the coastal Southeastern US, as well as be synergistic with existing trace element, stable isotope, and conventional light microscopy facilities located at the University of Georgia Skidaway Institute of Oceanography (SkIO). The proposed instrument will allow sub-micron chemical characterization, particle mapping, and quantification of complex samples from a wide array of projects and fill an analytical and scientific gap in the region. The requested instrument will allow on-location, low-cost analysis of samples from existing and future projects in several critical areas of marine research, both local and regional. It also will enhance educational opportunities for several established, collaborative, and upcoming programs at SkIO, many of which target under-represented groups. Finally, it will provide highly visual data which is invaluable for educational and outreach efforts. For more information about SkIO, please visit their website at https://www.skio.uga.edu/.\n\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "3051", "attributes": { "award_id": "1934848", "title": "Collaborative Research: GCR: Understanding Epistasis: the Key for Genotype to Phenotype Mapping", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "GCR-Growing Convergence Resear" ], "program_reference_codes": [], "program_officials": [ { "id": 9425, "first_name": "Gerald", "last_name": "Schoenknecht", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-10-01", "end_date": "2025-09-30", "award_amount": 3202175, "principal_investigator": { "id": 9429, "first_name": "Sudhir", "last_name": "Kumar", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 9426, "first_name": "Ronald", "last_name": "Levy", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 9427, "first_name": "Slobodan", "last_name": "Vucetic", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 9428, "first_name": "Vincenzo", "last_name": "Carnevale", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 277, "ror": "https://ror.org/00kx1jb78", "name": "Temple University", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true }, "abstract": "This Growing Convergence Research project is seeking to explain the resilience of genotype-phenotype maps through functional epistasis via a convergence of three overlapping fields of investigation: molecular evolution, data science and statistical physics. The project is motivated by an unanticipated amount of variation in populations, gene families, and phylogenetic groups revealed by DNA sequencing of genes, individuals, and species. These voluminous data on variation are posing unexpected challenges to the (nearly) neutral theory of molecular evolution that explains the fate of new mutations in a population through random genetic drift and purifying selection. The research team will employ mechanistic models of epistasis, co-evolutionary processes, and deep learning. Deep integration across disciplines will be key for exploring the pivotal role of epistasis and, ultimately, for interrogating the most fundamental rules of life. \n\nThe research team proposes a transdisciplinary project to set the foundations for a novel neutral-by-epistasis theory of molecular evolution. This team hypothesizes that a vast majority of population variation and species differences are due to random genetic drift of mutations that are neutral by epistasis, even though each may be individually detrimental. The new neutral-by-epistasis theory unites both neutral and nearly-neutral theories of molecular evolution and has the potential for a paradigm shift in which epistatic interactions between positions, rather than any individual position are the primary unit of comparative analysis.\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": "3121", "attributes": { "award_id": "1757632", "title": "REU Site: Undergraduate Research in Smart Environments", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "RSCH EXPER FOR UNDERGRAD SITES" ], "program_reference_codes": [], "program_officials": [ { "id": 9709, "first_name": "Jeffrey", "last_name": "Forbes", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2018-03-01", "end_date": "2022-02-28", "award_amount": 360000, "principal_investigator": { "id": 9710, "first_name": "Lawrence", "last_name": "Holder", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 306, "ror": "https://ror.org/05dk0ce17", "name": "Washington State University", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 306, "ror": "https://ror.org/05dk0ce17", "name": "Washington State University", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true }, "abstract": "This Research Experiences for Undergraduates site will enable 10 undergraduates each year to conduct hands-on research in the field of smart environments for a period of 10 weeks each summer. Research participants from a wide variety of institutions and demographic backgrounds will explore the links between multiple applications including artificial intelligence, machine learning, data mining, high-performance computing, pervasive computing, networking, distributed systems, health, medicine, psychology, gerontechnology, and energy sustainability. Within this context, participants will gain an appreciation for how to collect large amounts of data from these environments, analyze the data for new knowledge, and take actions to effect changes in the environments in order to improve health, security, efficiency and sustainability. \n\nThis REU site facilitates research and training in multiple complementary disciplines including computer science, electrical engineering, psychology, and health care. The team partners with other REU programs on campus, and participants will interact regularly with other REU students from around the country, with faculty from multiple REU programs, and with graduate students from the related ongoing research programs in smart environments. The program will enable interdisciplinary research that links design of technology with health-based sustainable energy applications, and creates new opportunities for undergraduates to study health, energy and human behavior using the technology. Results of this program, including descriptions of student projects, lessons learned, and quantitative and qualitative feedback, will be disseminated via the program website. This program will also make a contribution to a generation whose workforce is trained in multiple, complementary disciplines. Finally, our planned recruitment effort and strong mentoring component will spread knowledge of the benefits of the REU program among the targeted populations, resulting in broadening participation in engineering and related disciplines.\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": "3074", "attributes": { "award_id": "1908070", "title": "III: Small: A Submodular Framework for Scalable Graph Matching with Performance Guarantees", "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": 9543, "first_name": "Sylvia", "last_name": "Spengler", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-10-01", "end_date": "2023-09-30", "award_amount": 456742, "principal_investigator": { "id": 9545, "first_name": "Nikolaos", "last_name": "Sidiropoulos", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 517, "ror": "", "name": "University of Virginia Main Campus", "address": "", "city": "", "state": "VA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 9544, "first_name": "Aritra", "last_name": "Konar", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 517, "ror": "", "name": "University of Virginia Main Campus", "address": "", "city": "", "state": "VA", "zip": "", "country": "United States", "approved": true }, "abstract": "Graphs are a natural and convenient abstraction for modeling structures arising in a broad spectrum of science and engineering disciplines. In many applications, a key problem is to align a pair of graphs (or \"embed\" one into the other). This is known as graph matching, and it frequently emerges in machine vision (e.g., landmark matching), learning (knowledge graphs), and graph mining; computational biology (protein-protein interactions); social sciences (social / organizational networks); and electronic circuit layout verification, to name a few areas. Graph matching is a computationally demanding problem, yet modern applications easily generate graphs with millions of vertices. In that regime, there is a pressing need for approximation algorithms which are both theoretically sound and highly scalable. This project considers graph matching from a fresh perspective -- through the lens of submodular optimization. The proposed research will yield exciting new theoretical and methodological insights that will also inform other walks of combinatorial optimization and its applications. In parallel with the research activities, the PIs will contribute to state-wide efforts to broaden participation in computing, via guest lectures in introductory engineering courses, and teaming up with a nonprofit that trains K-12 teachers to empower them to teach coding and computational thinking.\n\nExisting graph matching approximations based on relaxing the combinatorial constraints either do not scale well, or fail to provide performance guarantees (except in special cases). None of these directly tackles the combinatorial nature of the problem; the conventional wisdom being that the difficulty stems from the constraints, not the cost function. In preliminary work, the PIs have established that graph matching can be equivalently reformulated as minimizing a submodular function over the intersection of a pair of partition matroids. Using this preliminary result as a stepping stone, this project is focused on designing successive submodular approximation algorithms that feature both theoretical performance guarantees and scalability; hard and soft graph matching (via continuous extension); validation using real-world data; and leveraging the practical insights gained through validation to close the loop and drive further methodological and algorithmic developments. Breaking from the mold, the approach embraces combinatorial optimization using a judicious combination of discrete and continuous optimization tools which promises to go a long way towards improving the state-of-art for this fundamental problem.\n\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 3, "pages": 1424, "count": 14236 } } }