Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1385&sort=-awardee_organization
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-awardee_organization", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=-awardee_organization", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1386&sort=-awardee_organization", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1384&sort=-awardee_organization" }, "data": [ { "type": "Grant", "id": "4062", "attributes": { "award_id": "1565688", "title": "Catalytic Diene-Diol Benzannulation for Polycyclic Aromatic Hydrocarbon Construction", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "Chemical Synthesis" ], "program_reference_codes": [], "program_officials": [ { "id": 13630, "first_name": "Jin K.", "last_name": "Cha", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2016-05-01", "end_date": "2020-04-30", "award_amount": 480000, "principal_investigator": { "id": 13631, "first_name": "Michael", "last_name": "Krische", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "The Chemical Synthesis Program of the NSF Chemistry Division supports the research of Professor Michael J. Krische in the Department of Chemistry at the University of Texas at Austin. Professor Krische and his students are developing novel, green catalytic methods for the construction of PAH (polycyclic aromatic hydrocarbon) - materials that are used broadly in molecular electronics. Professor Krische's method involves the byproduct-free coupling of inexpensive, abundant petrochemical feedstocks (dienes) with a renewable feedstock (diols). PAH materials are formed upon dehydration of the reaction products, meaning water is the only chemical byproduct. This project lies at the interface of organic, organometallic and materials chemistry and provides a suitable forum for the education of undergraduate, graduate and postdoctoral scientists. With the growing Hispanic demographic in Texas, Professor Krische's group has played a strong role in the education and training of students from groups historically underrepresented in science. Outreach activities include an annual research symposia sponsored by the Center for Green Chemistry and Catalysis led by Professor Krische, which features lectures by leading chemists in the field of catalysis, as well as poster sessions hosting undergraduate, graduate and postdoctoral scientists.\n\nThe Krische laboratory is pioneering a broad, new class of catalytic carbon-carbon (C-C) bond formations that merge the characteristics of catalytic hydrogenation and carbonyl addition, representing the first \"C-C bond forming hydrogenations\" beyond hydroformylation. This new pattern of reactivity is the basis of a ruthenium(0) catalyzed diene-diol [4+2] cycloaddition. This byproduct-free transformation is being used to advance new benzannulation technology for the construction of Polycyclic Aromatic Hydrocarbons (PAHs). Acenes, polyphenylenes, fluoranthenes and carbon nano-allotropes - there is great interest in such PAH materials in the field of molecular electronics. However, since the advent of biaryl cross-coupling technology, the field of PAH construction has remained largely unchanged. Just as biaryl cross-coupling technology revolutionized PAH construction, diene-diol benzannulation may unlock new PAH chemical space, broadly impacting research across the carbon nano-allotrope and molecular device communities. The educational plan includes annual research symposia sponsored by the Center for Green Chemistry and Catalysis led by Professor Krische, which features lectures by leading chemists in the field of catalysis, as well as poster sessions hosting undergraduate, graduate and postdoctoral scientists.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4201", "attributes": { "award_id": "1609279", "title": "EPCN: Strong Diagnoses from Weak Signals: Leveraging Network Effects for Epidemic Detection", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "EPCN-Energy-Power-Ctrl-Netwrks" ], "program_reference_codes": [], "program_officials": [ { "id": 14153, "first_name": "Lawrence", "last_name": "Goldberg", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2016-09-01", "end_date": "2020-08-31", "award_amount": 360000, "principal_investigator": { "id": 14154, "first_name": "Constantine", "last_name": "Caramanis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "Interconnection is at the core of the functionality of our modern infrastructure, spreading ideas, technology and information. Future critical infrastructure, from self-driving cars to everything cloud computing promises to enable, exploit and depend on this interconnection and spreading capability. But as recent history shows, from denial of service attacks to state-driven cyberwarfare they will also suffer from it if vulnerabilities allow. The potential for broad destructive impact of malware is clear, particularly as the importance of mobile devices is on the rise. As more of our critical infrastructure becomes linked to devices end-users (consumers) control, and not merely a computer backbone whose hardware and software are centrally managed and controlled, the importance of maintaining the cyber-health of our devices will become increasingly critical, and much more difficult. The central theme of this proposal is its motto, if it spreads, it cannot hide. The motivation is to build a theory and accompanying algorithms that do not depend on the specifics of the network or devices, or on the specifics of what is spreading. If our defenses depend on detecting specific characteristics, by definition they miss any threat that does not share those. Rather, the high level idea is that if something spreads through a network, the spread itself will leave a signature independent of the design of the malware, or of the devices it is infecting. Moreover, the proposal is built on the idea that this can be done, even if locally it leaves no trace -- that is, even if looking at a single device over time, its behavior is statistically indistinguishable from normal behavior. \n\nThis work proposes to do this by developing a new paradigm for network inverse problems: use plentiful but extremely weak or noisy signals as network forensics tools, to uncover hidden structure, properties, and phenomena spreading on the network. This requires using and developing new tools from high dimensional statistics and concentration, Markov chain coupling, graph dynamics and graph theory, to obtain a statistical theory that delineates the landscape of when global phenomena are statistically detectable, from local signals indistinguishable from noise. An equal part of the proposed work is then to develop efficient, scalable algorithms to do the detection. Building on this, the proposal tackles two fundamental challenges: developing efficient parallelizable and distributed algorithms with information requirements that do not scale in the size of the network, and second, using a notion of aggregate network feedback extracted through noisy signals, to enable network learning.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4209", "attributes": { "award_id": "1629570", "title": "DMREF: Collaborative Research: Semiconductor Heterostructure Platform for Active Nonlocal Plasmonic and Hyperbolic Materials", "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": 14187, "first_name": "John", "last_name": "Schlueter", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2016-10-01", "end_date": "2020-09-30", "award_amount": 250999, "principal_investigator": { "id": 14189, "first_name": "Daniel", "last_name": "Wasserman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "NON-TECHNICAL DESCRIPTION: Multilayered composites, designed to combine the properties of reflective metals and transparent dielectrics, have the potential to revolutionize optical microscopy, control emission of molecules, and even to enable cloaks of invisibility. However, until now the advantages achieved with multilayered structures have been limited. Decreasing layer thickness, reducing absorption, and implementing optical gain have been named as some of the possible ways to advance the optics of multilayered media towards its revolutionary potential. In this project, our collaborative team will aim to understand, through carefully designed experimental, computational, and analytical studies, the optical response of free-electron plasma that underlines the photonics of multilayered composites. Of particular interest will be the limits of small layer thickness where quantum-mechanical effects are expected to manifest themselves, and the interaction between optical gain and loss. The program will present new opportunities for engaging students in interdisciplinary research and thus improve competitiveness of the US high-tech workforce. The team members will also implement a number of outreach events to broaden participation of school-aged and undergraduate students in STEM. \n\nTECHNICAL DESCRIPTION: Plasmonic metamaterials -- nanostructured composites with tailored optical response resulting from metallic or highly doped semiconducting components -- promise to revolutionize our understanding of light-matter interactions, enabling new applications that include perfect light absorbers, invisibility cloaks, sub-wavelength imaging, focusing, and guiding. In this project the team will perform a comprehensive interdisciplinary study of semiconductor layered metamaterials, with a vision towards understanding the fundamentals of light-matter interaction in heterogeneous mesoscale plasmonic systems. Of particular interest will be (i) understanding the optical response of plasmonic systems where the motion of the free charges is confined by the geometry, leading to nonlocal electromagnetism and to (ii) fundamentals of light propagation, emission, and absorption in coupled nonlocal nanoplasmonic systems. The developed description of active nonlocal plasmonics will be applicable to multiple material platforms operating throughout optical spectrum. The proposed program will provide multiple opportunities for educating the next-generation interdisciplinary workforce and will serve as a platform for outreach activities targeting undergraduates, school students, and school teachers.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4561", "attributes": { "award_id": "1532169", "title": "MRI: Development of VIRUS2 - A Scalable Integral Field Spectrograph for McDonald Observatory", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "Major Research Instrumentation" ], "program_reference_codes": [], "program_officials": [ { "id": 15726, "first_name": "Zoran", "last_name": "Ninkov", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-10-31", "end_date": "2021-09-30", "award_amount": 2549713, "principal_investigator": { "id": 15729, "first_name": "Gary", "last_name": "Hill", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 15727, "first_name": "Niv", "last_name": "Drory", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 15728, "first_name": "Hanshin", "last_name": "Lee", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "This award funds the development of a new astronomical instrument at the McDonald Observatory in West Texas. The VIRUS2 spectrograph design will be well-adapted to future applications on the next generation of extremely large telescopes, and offers a cost-effective way to instrument such telescopes. This program will provide the opportunity for students to be involved in the design, assembly, and commissioning of the instrument. \n\nVIRUS2 is a scalable Integral Field Spectrograph for the McDonald Observatory 2.7-m telescope. It will be based on technology developed for the original VIRUS instrument on the Hobby Eberly Telescope (HET), also at McDonald. The VIRUS spectrograph is adaptable to a range of spectral resolutions and wavelengths. VIRUS2 will utilize three replicated units to cover wavelengths 370-915 nm at resolution ~2300. The large investment already made in VIRUS makes this follow-on project lower in cost than starting from scratch and should allow for a rapid schedule and low risk. The resulting instrument will enable studies complementary to ongoing structure surveys of nearby galaxies (MaNGA, SAMI, CALIFA, VENGA) by extending observations to the outskirts of galaxies.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4642", "attributes": { "award_id": "1404003", "title": "P2C2: Western Pacific Warm Pool Hydroclimate during the Last Glacial Maximum and the Deglaciation", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "Paleoclimate" ], "program_reference_codes": [], "program_officials": [ { "id": 16036, "first_name": "David", "last_name": "Verardo", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2014-07-15", "end_date": "2017-12-31", "award_amount": 530005, "principal_investigator": { "id": 16038, "first_name": "Judson", "last_name": "Partin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 16037, "first_name": "Yuko", "last_name": "Okumura", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "The West Pacific Warm Pool (WPWP) plays an important role in the global hydrological cycle, and its variability has significant socioeconomic consequences around the world. Understanding past climate conditions can improve predictions of future climate changes in this key region and beyond. This study will extend both the spatial and temporal resolution of paleoclimate data for the WPWP by studying cave formations (stalagmites) for two key periods: the Last Glacial Maximum (LGM; 19,000-21,000 years ago), when the mean climate was much colder than today, and the deglaciation (11,000-19,000 years ago), during which the global climate went through abrupt changes. Comparison between the cave data from a network of sites and model outputs will strengthen the climate interpretations made, and will improve the fidelity of both the reconstructions and the climate models. \n\nThis study will generate time series of stalagmite d18O, an established proxy for rainfall amount in the tropics, from the Philippines (eastern, central, and western sites), the Solomon Islands, and Vanuatu. These sites cover a wide range of precipitation variability, as seen during the modern era, and will provide information about past climate variability at sites that currently have little to no data. This study will sample the full range of the WPWP hydrologic response to climate change by reconstructing rainfall from the LGM to the Holocene. The end members of the cold LGM and the warm Holocene provide a measure of how sensitive WPWP rainfall is to global mean temperature. The temporal evolution during the deglaciation reveals the magnitude and spatial pattern of WPWP rainfall changes associated with abrupt climate events, and how much of a role the tropics participate in these events. The proxy data will be compared with various climate model simulations from the CMIP5 and PMIP2/PMIP3 archives and other sources, focusing on the spatial pattern and seasonality of climate changes, as well as the commonalities and diversity of different models. To investigate the teleconnection mechanisms of past abrupt climate changes, additional experiments will also be conducted with an atmospheric model. The proxy-model comparison will help validate climate models, which are being used for future climate projections, and the detailed model analysis and additional experiments will elucidate the mechanism of past abrupt climate changes. The research team will work closely with local scientists in the developing countries of Vanuatu and the Philippines, exchanging knowledge about climate issues and water availability, issues that have societal and security implications for small island nations. The project will provide a research experience an undergraduate student recruited through the GEOFORCE program, which is a selective outreach program of the Jackson School of Geosciences that trains high school students, mainly from demographic underrepresented in the geosciences, and involves them in fieldwork.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4707", "attributes": { "award_id": "1454433", "title": "CAREER: Integrated Production Management and Process Control of Energy-Intensive Processes", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "Proc Sys, Reac Eng & Mol Therm" ], "program_reference_codes": [], "program_officials": [ { "id": 16322, "first_name": "Raymond", "last_name": "Adomaitis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-07-01", "end_date": "2021-09-30", "award_amount": 500000, "principal_investigator": { "id": 16323, "first_name": "Michael", "last_name": "Baldea", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "1454433 - Baldea\n\nThe proposal comprises an integrated research and education plan to address the interaction of energy-intensive chemical process systems with the power grid. The electricity use of chemical processes can be modulated to accommodate the variation of the demand of other grid users by changing production schedules: production is increased during off-peak hours and products generated in excess are stored and sold at peak times, when production is lowered. This demand response (DR) operation calls for making production management decisions over short (e.g., hourly) time intervals, where process dynamics and control are highly relevant. Motivated by this, the research component of the project aims to provide a new framework for the optimal integration of production scheduling and process control of continuous DR processes. The approach is predicated on embedding reduced-order representations of the closed-loop process dynamics in the scheduling model. The educational component of the project will introduce engineering students to the nexus between chemical process systems and the electric grid. Both graduate and minority undergraduate students will be engaged in the research activities. A suite of novel hands-on learning activities will be developed (relying, amongst others, on additive manufacturing), and used to foster creative thinking in, i) a new first-year engineering course and, ii) in the senior process control class. The proposed outreach activities will engage middle school students from low-income families in STEM learning and support their efforts to become first-generation college graduates. The proposed integrated production scheduling and process control framework will be validated with industrial case studies. It is expected to gain practitioner acceptance and expand the industrial base participating in DR (including, e.g., air separation, cement, chlor-alkali, aluminum, which account for over 10% of industrial electricity use in the U.S.), leading to a sizable reduction in net peak power demand in the grid. Several other chemical processes (e.g., polymers, wastewater treatment) pose similar scheduling and control challenges, and solutions from this project can be deployed to improve their operations. \n\nThe integration of scheduling and control for chemical processes is challenging due to the discrepancy in time horizons between the two activities and to the size of the models required to describe system behavior over all relevant time scales. The project explores a new direction to overcome these difficulties: the PI proposes the concept of time scale-bridging, and the development of scheduling-relevant low-order dynamic models that capture the closed-loop behavior of a process. These models are then incorporated as constraints in the scheduling formulation. He also introduces a new control-theoretical direction, scheduling-MPC, to extend these ideas to the widely used model predictive control (MPC) paradigm. These developments are expected to reduce the computational effort required to account for dynamics and control in scheduling DR chemical processes, and to impart robustness to the integrated framework. Additionally, the proposed fault detection techniques will provide novel mechanisms for making process rescheduling decisions. In a broader context, future improvements in the energy efficiency and economic performance of the chemical supply chain call for \"smarter\" manufacturing, based on sharing information and synchronizing all levels of operational decisions, from regulatory and supervisory control, to production scheduling and planning. The integration of scheduling and control, which is the pivotal point for coordinating the manufacturing management and control layers of the process decision-making hierarchy, has received relatively little attention to date. The proposed research thus addresses an important and open problem, and will develop a currently missing link in the smart manufacturing framework.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "5237", "attributes": { "award_id": "0950102", "title": "A Workshop on the Development of Fluid Mechanics Community Software and Data Resources", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "FD-Fluid Dynamics" ], "program_reference_codes": [], "program_officials": [], "start_date": "2009-10-31", "end_date": "2010-10-31", "award_amount": 61465, "principal_investigator": { "id": 18509, "first_name": "Robert", "last_name": "Moser", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 18508, "first_name": "Karl W", "last_name": "Schulz", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "0950102\nMoser\n\nOne outcome of the NSF-sponsored workshop 'NSF Workshop on Cyber-Fluid Dynamics: New Frontiers in Research and Education' held July 19-20, 2007 was a recommendation that the fluid mechanics community move toward consolidating computational fluid dynamics (CFD) tools as well as libraries of reference numerical solutions and experimental data (http://www.nsfcyberfluids. gatech.edu/). A number of communities have benefited from such a software consolidation. These include the biological molecular dynamics community with NAMD (http://www/ks.uiuc.edu/Research/namd) and GROMACS (http://www.gromacs.org), the weather modeling community with WRF (3www.wrf-model.org), and the geodynamics community with CIG (http://www.geodynamics.org/). Among the benefits of such a consolidation would be: lowering barriers to innovation in modeling and numerical methods by providing a software platform for such innovation, increasing productivity of CFD-based research by providing well characterized and well established tools for such research, enabling fluid dynamics research through access to a wide array of reliable experimental and computational data, and improving standards for verification and validation to improve reliability of CFD solutions. To further pursue the possibility and potential processes for developing community software and data resources, a follow-up workshop specifically focused on the development and consolidation of such community resources is planned. The objectives of this workshop are three fold: 1. To explore the likely value and practical issues associated with development of fluid dynamics community software and data resources. 2. To develop a set of recommendations regarding whether and how to move forward to develop such resources. 3. To identify a group of fluid dynamics researchers who will participate in whatever development process is recommended. This award is primarily for participant support costs and will be used to attract a diverse workshop particiation.\n\nThis workhop grant is cofunded by the ENG, OCI, and CISE Directorates.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "5365", "attributes": { "award_id": "0726991", "title": "Conference: Travel Support Grant to attend the Third International Nanotechnology Conference onCommunication and Cooperation. To be held April 16-19, 2007 in Brussels, Belgium.", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "EPMD-ElectrnPhoton&MagnDevices" ], "program_reference_codes": [], "program_officials": [], "start_date": "2007-04-15", "end_date": "2007-09-30", "award_amount": 25000, "principal_investigator": { "id": 18814, "first_name": "Sanjay", "last_name": "Banerjee", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "Abstract Sanjay K. Banerjee INC3: CONFERENCE PROPOSAL\n\n\n\n\nObjective:\nThe objective of this proposal is to request travel funds from NSF to enable faculty from the US to attend the Third International Nanotechnology Conference on Communications and Cooperation (http://www.imec.be/inc3/about.html) from April 16-19, 2007 in Brussels, Belgium. In addition, we plan to invite some of the younger members of the faculty, who will present posters highlighting their work.\nIntellectual Merit:\nThis conference is being sponsored by SRC-SIA, NSF, IMEC, JEITA-JSI, and several European and Asian companies It will feature invited speakers and poster presenters from industry, academia, and government who will describe how to \"foster communication and cooperation on nanotechnology subjects among the organizers, sponsors and the world scientific community to stimulate and support economic growth in the 21st century.\"\nBroader Impact:\nThe conference will help address issues related to ITRS technology roadmap and how nanotechnology can play an important role in continuing the growth of the Electronics beyond the limits envisioned by the ITRS roadmap. It is of fundamental importance that these limits are overcome in the next 10 years, perhaps through the use of nanotechnology. Global senior researchers, industry leaders and policy makers from North America, Europe and Asia will hold discussions on a variety of efforts in nanoscience, along with opportunities for collaboration", "keywords": [], "approved": true } }, { "type": "Grant", "id": "9568", "attributes": { "award_id": "2223808", "title": "CFS (Track III): High-Resolution X-ray Computed Tomography Laboratory", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "Instrumentation & Facilities" ], "program_reference_codes": [], "program_officials": [ { "id": 5654, "first_name": "David", "last_name": "Lambert", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-01", "end_date": "2025-07-31", "award_amount": 1208495, "principal_investigator": { "id": 25301, "first_name": "Richard", "last_name": "Ketcham", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 25300, "first_name": "Timothy B", "last_name": "Rowe", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "This award will continue NSF support of the University of Texas High-Resolution X-ray Computed Tomography Facility (UTCT) as a community facility supporting geoscience research. Computed tomography (CT) is ideally suited for many geoscience applications, as it nondestructively creates 3D image data of the interiors of rocks, fossils, meteorites and other materials. Successful application of this technique requires both advanced instrumentation and experienced operators to optimize data acquisition and processing, and the ability to design and implement rigorous and well-targeted 3D data analysis strategies. UTCT serves both as a source of high-quality data for investigators without access to CT instrumentation, and as a repository of experience and expertise in all aspects of CT data acquisition and analysis, both through individual consultation and collaboration and by teaching short courses. Advances in CT data acquisition, processing, and analysis developed at UTCT have also been used in many other fields. UTCT also provides leadership in management and curation of CT data sets, through a long-term investment in the DIGIMORPH digital library at UTCT, and community activity through the Tomography for Scientific Advancement, North America (ToScANA) symposium series. Individual and collective efforts by UTCT staff support BAJEDI goals, including aiding recruitment of and mentoring research by members of historically under-represented groups.\n\nThis project will support roughly 25% of UTCT operating expenses for the next three years, including staff, equipment maintenance, and computing infrastructure, and replacing a no-longer-repairable microfocal X-ray source. Over the previous four years of facility support, UTCT research advanced a wide range of fronts while continuing to provide high-quality service, all while adjusting to the many difficulties imposed by the COVID-19 pandemic. The lab has upgraded much of the instrumentation, and created, improved, and demonstrated several new 3D measurement methodologies. From 2018 through February 2022 UTCT data supported 330 peer-reviewed publications and 43 theses and dissertations. UTCT served 196 principal investigators over this period, most of them earth scientists, with 58% from outside the University of Texas. The facility expanded its short courses in HRXCT data acquisition, visualization, and quantification, and adapted them to on-line delivery to compensate for COVID-19. In 2019 and 2021 the facility hosted two more instances of the ToScANA symposium, the second on-line due to the pandemic, with approximately 100 attendees each time representing a wide range of disciplines, and the facility will host the 2023 symposium in Austin. These symposia have also served as a rallying point for North American tomography community efforts.\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": "9632", "attributes": { "award_id": "2043522", "title": "SCC-CIVIC-PG Track B: Assessing the Feasibility of Systematizing Human-AI Teaming to Improve Community Resilience", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "S&CC: Smart & Connected Commun" ], "program_reference_codes": [], "program_officials": [ { "id": 876, "first_name": "Linda", "last_name": "Bushnell", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-01-15", "end_date": "2022-12-31", "award_amount": 49855, "principal_investigator": { "id": 6284, "first_name": "Keri", "last_name": "Stephens", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 6281, "first_name": "Christopher W", "last_name": "Zobel", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25448, "first_name": "Amanda Lee", "last_name": "Hughes", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25449, "first_name": "Hemant", "last_name": "Purohit", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 156, "ror": "", "name": "University of Texas at Austin", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "Emergency managers need access to the right data to effectively and efficiently plan for and respond to disasters. Social media offers a data source that is increasingly relevant for disaster management, but emergency response organizations typically lack capacity to monitor and mine social media data at scale. One remedy is to pair human volunteers, who label relevant information, with computers to train and update artificial intelligence (AI) systems for scalable monitoring. Including local volunteers in the process is important because they are uniquely capable of identifying locally-relevant images, text, and conversations that reflect their communities. Yet, we currently have no mechanism to systematically pair these human volunteer/AI-systems with emergency management organizations. Therefore, the fundamental issue this project investigates is the feasibility of leveraging the strengths of local members of a Community Emergency Response Team (CERT) with AI—called human-AI teaming—to bridge this gap. The unique CIVIC aspect of this project is to leverage existing collaborations with a CERT organization to assess the feasibility. The long-term vision is to develop a sustainable, replicable, and empirically informed framework for integrating CERT volunteers into the automated processing of social media data using an AI-based system. The project supports education and diversity by providing research experiences to diverse students, as well as training CERT volunteers in social media and human-AI teaming. Findings can help emergency managers better train their volunteers who comb through social media using understandings of the built environment to help machines see new patterns in data. Hence, this project supports NSF's mission to promote the progress of science and advance the nation's health, prosperity, and welfare by demonstrating the value of leveraging local CERT volunteers, in partnership with emergency managers, to generate disaster situation awareness. \n\nThe goal of this planning grant is to analyze existing human-AI teaming disaster data and involve civic partners in focus groups to better understand the attitudes and beliefs of CERT volunteers, emergency managers, key governmental organizations, and non-governmental organizations. This project will develop deep knowledge of digital volunteer teams, how they work, how to motivate them, and how to have them support the objectives of emergency managers. Thus, we advance theory around volunteer teaming in the technology space and human-in-the-loop protocols. This project provides meaningful ways for more citizens to participate in disaster planning and response, and develops a training curriculum for CERT volunteers who work with social media data in an effort to build sustainable volunteer efforts.\n\nThis project is in response to Track B - CIVIC Innovation Challenge - Resilience to Natural Disasters a collaboration with NSF and the Department of Homeland Security.\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": 1385, "pages": 1424, "count": 14236 } } }