Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=2&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=3&sort=funder", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=funder" }, "data": [ { "type": "Grant", "id": "10401", "attributes": { "award_id": "2235570", "title": "I-Corps: Digital tool against post-traumatic stress disorder among COVID-19 survivors", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)", "I-Corps" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-08-01", "end_date": "2023-01-31", "award_amount": 50000, "principal_investigator": { "id": 26384, "first_name": "Spyros", "last_name": "Kitsiou", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 163, "ror": "https://ror.org/02mpq6x41", "name": "University of Illinois at Chicago", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this I-Corps project is the development of a cost-effective, convenient, and time efficient solution to address post-traumatic stress disorder (PTSD). The public health crisis following the trauma of COVID-19 requires new solutions to increase healing and improve outcomes. This technology seeks to connect patients with an anonymous community forum, eye movement desensitization reprocessing, meditation, and yoga. Core algorithms will be used to assess treatment options for post-traumatic stress disorder.\n\nThis I-Corps project is based on the development of software to facilitate healing of post-traumatic stress disorder (PTSD), while decreasing the cost of care and improving outcomes of those suffering from PTSD. The COVID-19 pandemic has created trauma, disability, and death in the U.S. The incidence of post-traumatic stress disorder (PTSD) incidence related to COVID-19 is approximately 30% of the U.S. population. This technology seeks to advance a core set of algorithms that diagnosis patients, determining if they are positive for PTSD and improving their awareness of treatment options. The approach involves an agile methodology that emphasizes iteration and implementation of continuous feedback from the patient. The proposed innovation involves software that may help those navigating post-traumatic stress disorder through a set of core algorithms to minimize barriers and improve access to resources. This technology may be able to decrease costs associated with diagnosis and improve the ease with which healthcare is provided at a location that the patient prefers, such as at home.\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": "4167", "attributes": { "award_id": "1562613", "title": "NeTS: Medium: Collaborative Research: TribalNet: Expanding Internet Accessibility and Participation on Native American Reservations", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Networking Technology and Syst" ], "program_reference_codes": [], "program_officials": [ { "id": 14030, "first_name": "Alexander", "last_name": "Sprintson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2016-07-15", "end_date": "2020-06-30", "award_amount": 108333, "principal_investigator": { "id": 14031, "first_name": "Carleen", "last_name": "Maitland", "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": [], "awardee_organization": { "id": 219, "ror": "", "name": "Pennsylvania State Univ University Park", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true }, "abstract": "Tribal communities represent the final frontiers of Internet access in the U.S., with fast (broadband) Internet access available to fewer than 10% of Native Americans on tribal reservation lands. The lack of broadband access is caused by a collection of challenges, including remote terrain, inadequate funding, and complex telecommunication policies. Yet Native Americans need reliable avenues for participation and contribution to Internet content to strengthen their communities. This project investigates technologies that will increase Internet availability on reservation lands. Further, it will develop new methodologies of disseminating Internet content to reservation residents, prioritizing content by relevance during periods of limited connectivity. Ethnographic methods and interviews of Native Americans residing on the reservations will be incorporated to ensure usability and utility of the proposed solutions. Through the trial of the solutions within Southern California tribal communities, the work has the potential to reach over 2,700 homes and 60 community anchor institutions. Within the three participating institutions, the PIs will include in courses results from the research that demonstrate the positive humanitarian impact of computer science in order to increase the appeal of computer science to female and minority groups. \n\nThe goal of the research is to make critical inroads to addressing the lack of Internet access on tribal reservations, to increase the number of Native American reservation residents who are able to engage with, create, and disseminate Internet and on-line social network content. This project will achieve this goal through four related elements: (1) develop an architecture suitable for a multi-network setting comprised of cellular, wireless ISP and whitespace networks, where coverage, cost and network speed varies; (2) develop a tribal content distribution network, consisting of computation and storage at cellular, wireless ISP and white space towers across the reservation, that delivers content to and receives content from end users; (3) conduct a limited empirical study of Internet use and organizational network technology use capacity within the TDV community using ethnographic methods to inform the content prioritization and distribution mechanisms. Interviews will also be conducted and engaged in prototyping activities as needed to ensure that the system interfaces support use and administration by members of the community; (4) collect and analyze multiple years worth of traffic from the TDV network to develop models of content relevance and consumption to prioritize content distribution in the network.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10465", "attributes": { "award_id": "2112356", "title": "Category II: ACES - Accelerating Computing for Emerging Sciences", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Innovative HPC" ], "program_reference_codes": [], "program_officials": [ { "id": 13714, "first_name": "Robert", "last_name": "Chadduck", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-10-01", "end_date": "2026-09-30", "award_amount": 5000000, "principal_investigator": { "id": 26479, "first_name": "Honggao", "last_name": "Liu", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 26475, "first_name": "Dhruva", "last_name": "Chakravorty", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 26476, "first_name": "Timothy M", "last_name": "Cockerill", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 26477, "first_name": "Lisa M", "last_name": "Perez", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 26478, "first_name": "Shaowen", "last_name": "Wang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 342, "ror": "https://ror.org/01f5ytq51", "name": "Texas A&M University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "The ever-growing complexity of Science and Engineering (S&E) workflows and expectations of Open Science have encouraged researchers to adopt new technologies, such as containerization, virtualization and composability, that enable them to respond to an increasingly complex cyberinfrastructure (CI) landscape while producing shareable, and reproducible results. ACES (Accelerating Computing for Emerging Sciences), an innovative advanced computational prototype to be developed by Texas A&M University, tries to answer a fundamental question: how does one effectively offer a holistic computing platform that can simultaneously meet the needs of a continuum of users in diverse research communities with varying levels of computing adoption? The project will allow researchers to creatively develop new programming models and workflows that utilize these architectures while simultaneously advancing HPC (High Performance Computing) and data science projects.\n\nThe ACES platform removes significant bottlenecks in advanced computing by introducing the flexibility to aggregate various components (i.e., processors, accelerators and memory) on an as-needed basis to solve problems that were previously not addressable. By letting researchers switch and run on accelerators best suited for their workflows, ACES will benefit many research and development projects in the fields of artificial intelligence and machine learning (AI/ML), cybersecurity, health population informatics, genomics and bioinformatics, human and agricultural life sciences, oil & gas simulations, de novo materials design, climate modeling, molecular dynamics, quantum computing architectures, imaging, smart and connected societies, geosciences, and quantum chemistry. Toward facilitating researcher use, ACES will offer avenues for interactive computing, portals, and cloud connectivity. ACES will support the national research community through coordination systems supported by the National Science Foundation (NSF). Finally, ACES will also leverage existing efforts that promote science and broaden participation in computing at the K-12, collegiate, and professional levels to have a transformative impact nationally by focusing on training, education and outreach. ACES activities are designed to expand the participation of traditionally underrepresented groups in computing and STEM (Science, Technology, Engineering and Mathematics), particularly at minority-serving institutions. ACES will offer fellowships to students, continue efforts to support teacher programs, and offer a number of formal and informal courses, whose materials will be offered to the national community for use free-of-charge.\n\nThis project funds the development of a dynamically composable high-performance data analysis and computing platform, named ACES. AI and ML are integrated with traditional simulation and modeling approaches in the pursuit of innovation. Edge-computing and instrumental probes have pushed the need to verify, process, store, analyze, and query vast amounts of unstructured data in real time. The coupling of analytics with closely-situated data on highly-usable web-based technologies connected to a compute backend have led to a paradigm shift in expectations from research computing environments. The ACES innovative composable hardware platform helps accelerate transformative changes in research areas that can leverage novel High Bandwidth Memory (HBM) processors and accelerators for analytics and computing. ACES leverages Liqid’s composable framework via PCIe (Peripheral Component Interconnect express) Gen5 on Intel’s HBM Sapphire Rapid processors to offer a rich accelerator testbed consisting of Intel Ponte Vecchio GPUs (Graphics Processing Units), Intel FPGAs (Field Programmable Gate Arrays), NEC Vector Engines, NextSilicon co-processors, Graphcore IPUs (Intelligence Processing Units). The accelerators are coupled with Intel Optane memory and DDN Lustre storage interconnected with Mellanox NDR 400Gbps (gigabit-per-second) InfiniBand to support workflows that benefit from optimized devices. ACES will enable applications and workflows to dynamically integrate the different accelerators, memory, and in-network computing protocols to glean new insights by rapidly processing large volumes of data, and provide researchers with a unique platform to produce complex hybrid programming models that effectively supports calculations that were not feasible before.\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": "4104", "attributes": { "award_id": "1637379", "title": "2016 Plant and Microbial Cytoskeleton: The Mechanics of Building Cells in Plants and Microbes", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "Cellular Dynamics and Function" ], "program_reference_codes": [], "program_officials": [ { "id": 13779, "first_name": "Richard", "last_name": "Cyr", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2016-06-01", "end_date": "2017-05-31", "award_amount": 12000, "principal_investigator": { "id": 13780, "first_name": "Magdalena", "last_name": "Bezanilla", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 226, "ror": "https://ror.org/05rad4t93", "name": "Gordon Research Conferences", "address": "", "city": "", "state": "RI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 226, "ror": "https://ror.org/05rad4t93", "name": "Gordon Research Conferences", "address": "", "city": "", "state": "RI", "zip": "", "country": "United States", "approved": true }, "abstract": "This project will support attendance of young faculty, under-represented minority scientists, PUI faculty, along with graduate students and post-docs at the 2016 Plant and Microbial Cytoskeleton Gordon Research Conference to be held at the Proctor Academy in Andover, NH, August 14-19, 2016. The meeting will consist of short talks, poster sessions, communal dining, and conversations that will provide ample opportunity for sharing latest research results and for exploring collaborative possibilities.\n \nThe cytoskeleton of plant, fungi, and plants play important roles in cell division, cellular trafficking, and wall organization in these groups of organism. The Broader Impacts of this work involves both the importance of the cytoskeleton to a range of organisms, as well as the training of new scientist to pursue research in these fields. Cutting-edge or late-breaking research will be highlighted in several short talks chosen from the abstracts. The primary purposes of this conference are to promote discussion between scientists with common professional interests, including those from non-research-intensive colleges and universities, to foster the exchange of ideas from advanced aspects of their field, and to enable scientific collaborations to evolve in new directions.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4079", "attributes": { "award_id": "1542286", "title": "RET Site in Mechatronics and Robotics with Entrepreneurship and Industry Experiences", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "EWFD-Eng Workforce Development" ], "program_reference_codes": [], "program_officials": [ { "id": 13686, "first_name": "Amelia", "last_name": "Greer", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2016-06-01", "end_date": "2021-05-31", "award_amount": 600000, "principal_investigator": { "id": 13688, "first_name": "Vikram", "last_name": "Kapila", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 167, "ror": "https://ror.org/0190ak572", "name": "New York University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 13687, "first_name": "Sheila Borges", "last_name": "Rajguru", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 167, "ror": "https://ror.org/0190ak572", "name": "New York University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "This Research Experiences for Teachers (RET) in Engineering and Computer Science Site at New York University (NYU) seeks to strengthen K-12 education in the STEM disciplines by involving middle and high school science and mathematics teachers from the New York City School District in mechatronics and robotics research, entrepreneurship, and industry experiences through 6-week summer workshops. The RET participants will gain first-hand multidisciplinary experiences to foster their development of the necessary pedagogical content knowledge to engage their own K-12 students in authentic experiences in science and engineering. The program will impact two areas that are of direct interest to the United States and the world: increasing access for K-12 teachers and their students to a deeper understanding of the STEM disciplines, research, and career opportunities; and inspiring teachers and students to pursue engineering careers. The decreasing cost of electronics and hardware components along with technological advances in additive manufacturing promise to significantly lower the cost of robot hardware, making the use of robots economical in diverse industries. Mechatronics and robotics designs will provide participants with a comprehensive experience in systems integration and product development through which they can practice and hone their skills in creativity, inventiveness, and entrepreneurship and gain an appreciation of the pathway from STEM education to careers. \n\nOver a three-year period this RET Site will offer an intensive summer research program for a total of 30 middle and high school STEM teachers from schools in underserved New York City neighborhoods with socially, economically, racially, and ethnically diverse student bodies. Planned research projects include: marine robotics, microfluidic biosensing, wearable robotics, mechatronics device for liquid projectile visualization, and robots for disabilities. Project plans include: conduct guided training under the supervision of the Principal Investigator; collaborate with management experts to allow teachers to learn entrepreneurship, conduct innovation case-studies, and shadow entrepreneurs; offer research and industry experiences to teachers, in 2-teacher teams collaborating with faculty/industry mentors and research students; conduct events such as Open House, RET Day@Poly, and research seminars; conduct an Inno/Vention student idea contest and develop a business-philanthropy partnership to offer summer internships to students.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4191", "attributes": { "award_id": "1604369", "title": "Collaborative Research: SusCHEM: Hybrid mixed-resolution solvation models for chemical processing in ionic liquids", "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": 14114, "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": "2016-09-01", "end_date": "2020-08-31", "award_amount": 179998, "principal_investigator": { "id": 14115, "first_name": "Steven", "last_name": "Lustig", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 184, "ror": "https://ror.org/04t5xt781", "name": "Northeastern University", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 184, "ror": "https://ror.org/04t5xt781", "name": "Northeastern University", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "1605744 / 1604369 \nPIs: Ismail, Ahmed / Bardhan, Jaydeep \nInstitution: West Virginia University Research Corporation / Northeastern University\nTitle: Collaborative Research: SusCHEM: Hybrid mixed-resolution solvation models for chemical processing in ionic liquids\n\nA major bottleneck in the quest for large-scale replacement of petroleum feedstocks with ones derived from cellulosic biomass is the difficulty posed by the physical, chemical, and biological pretreatments that are necessary for converting the native biomass into industrially-useful feedstocks. And while the mechanical and biological pretreatment routes are largely well understood, substantial uncertainty remains in how to chemically pretreat biomass to enable further processing. The goal of this collaborative project is to advance multiscale models of molecular solvation to better understand dissolution of cellulosic biomass in ionic liquids. Ionic liquids are an important class of materials, which have a broad spectrum of applications. The project will (i) apply multiscale solvent models to ionic liquids; (ii) establish the use of X-ray solution scattering experiments to validate multiscale models; (iii) apply these models to understand why small concentrations of dissolved water limit cellulose dissolution; and (iv) integrate research with education and outreach efforts to advance cross-disciplinary training and broaden STEM participation.\n\nThe proposed research will elucidate the fundamental relationships between ionic liquid structure and performance, and how these relationships depend on temperature and water content. These dependencies are key to enabling the rational engineering of ionic liquids for robust performance during chemical processing in ionic liquids. The computational techniques that will be developed will link the microscopic details with macroscopic behavior using a novel multiscale approach that drastically reduces the computational costs associated with atomistic molecular dynamics and coarse-grained simulations. By reducing the number of atoms present in the system, the cost of calculating electrostatic forces, the dominant cost in molecular dynamics simulations of charged systems, will be greatly reduced, allowing for much larger and longer simulations with the same set of available computational resources. This approach will allow for much more in-depth studies of the interactions between ionic liquids and cellulose than is currently possible. The ultimate objective is the identification of the dominant criteria for selecting ionic liquids that will enable the design of more economical and more efficient chemical processes for cellulose dissolution.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4150", "attributes": { "award_id": "1609973", "title": "GOALI: Fundamental Approaches to Atomic Layer Etching", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "SOLID STATE & MATERIALS CHEMIS" ], "program_reference_codes": [], "program_officials": [ { "id": 13955, "first_name": "Birgit", "last_name": "Schwenzer", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2016-08-01", "end_date": "2020-07-31", "award_amount": 500000, "principal_investigator": { "id": 13958, "first_name": "S. Ismat", "last_name": "Shah", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 442, "ror": "https://ror.org/01sbq1a82", "name": "University of Delaware", "address": "", "city": "", "state": "DE", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 13956, "first_name": "Andrew V", "last_name": "Teplyakov", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 13957, "first_name": "Venkateswara", "last_name": "Pallem", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 442, "ror": "https://ror.org/01sbq1a82", "name": "University of Delaware", "address": "", "city": "", "state": "DE", "zip": "", "country": "United States", "approved": true }, "abstract": "NON-TECHNICAL ABSTRACT:\n\nThis project will develop the science and technology for etching metallic films one atomic later at a time. This know-how is most important in the field of memory devices, specifically based on magnetic principles used in computers, digital cameras, mobile phones and other similar devices. These devices based on the technology developed should demonstrate lower power consumption, smaller sizes, and lower cost of production compared to the other modern alternatives. However, to achieve this goal, very high level of control over making very thin metallic layers is necessary. The thickness of these layers must be highly reproducible to ensure reliable memory performance. For the metal components required, it is difficult to deposit them by traditional methods; however, it is possible to deposit relatively thick layers of these materials and then partially etch them away with the atomic layer precision. \nIn addition to the obvious advantages of capabilities to make simpler, cheaper, faster, and more reliable memory devices this work can affect a wide variety of the systems that are at the core of national interests, including aerospace and military systems, image storage and analysis, data logging and many other applications. The combination of university and industrial research in this grant will offer special educational and training opportunities to the students and facilitate this development to reach the marketplace more quickly.\n\n\nTECHNICAL ABSTRACT:\n\nThis GOALI project will target new approaches for removal of deposited metals in a layer-by-layer manner through atomic layer etching (ALEt). One of the prime targets for potential application of ALEt is in the field of Magnetic Random Access Memory (MRAM). Atomic Layer Etching (ALEt) requires reacting a metallic surface with a precursor molecule that saturates the surface and reduces the binding of the first layer of atoms to the bulk. A second input, be it chemical, energetic, or some combination of the two, will cause the first layer of metal atoms (with their associated ligands) to desorb. The second layer of atoms will now be exposed to the saturating precursor, followed by the desorption steps. As the process proceeds, the atoms will be removed from the surface layer by layer. Fe, Co, Ni, and Pt thin films deposited on a Si substrate will be used as the initial targets. The experimental approach will take two tracks. First, model systems will be designed, modeled, and tested. This approach will build on the understanding obtained through studying atomic layer deposition (ALD). A suite of surface characterization techniques will be coupled with high-resolution microscopies to understand these processes at the atomic level. In the second approach, work with American Air Liquide will study the ALEt process in manufacturing systems including temperature controlled wafer chucks, mass flow controllers for the reactants, and plasma sources. These systems will also be equipped so that the ALEt process can be monitored in operando. A model processing system will be constructed at the University of Delaware so that the composition and chemistry of the surface can be studied at any point in the process, in-situ studies. At the end of the proposal, working processes for various materials, including those of importance in MRAM application, will be developed. A deeper understanding of the physical components of the ALEt process will also be achieved.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4010", "attributes": { "award_id": "1632727", "title": "WORKSHOP: The IEEE VR 2016 Doctoral Consortium", "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": 13442, "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": "2016-03-01", "end_date": "2017-02-28", "award_amount": 11448, "principal_investigator": { "id": 13443, "first_name": "Toni", "last_name": "Pence", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 194, "ror": "", "name": "University of North Carolina at Wilmington", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "This is funding to support participation by approximately 8 promising graduate students from educational institutions in the United States, along with about 5 senior members of the academic and industrial research communities as mentors, in a Doctoral Consortium (workshop) to be held in conjunction with the IEEE Virtual Reality (VR) 2016 conference that will take place March 19-23 in Greenville, SC, and which is collocated since 2006 with the IEEE Symposium on 3D User Interfaces (3DUI). Virtual reality is a multidisciplinary field involving human-centered computer simulations that seek to imitate or augment real world senses (usually sight, sound, and touch) and experiences. VR research includes the development and assessment of methods and systems, and facilitating and understanding user perceptions, beliefs, and behaviors. First organized by the IEEE Computer Society in 1993 and held annually since 1995, IEEE Virtual Reality is the premier international conference and exhibition in this field and includes technical paper presentations, workshops, tutorials, research demonstrations, and exhibits from industry. More information about the conference may be found online at http://www.ieeevr.org/2016. The goal of the Doctoral Consortium is to provide a unique venue for interactive, supportive, and prestigious mentoring for mid-level graduate students in virtual reality, to afford these students a valuable opportunity to get independent perspectives on their research from senior individuals with a wide collective breadth and depth of knowledge, and to build a cohort of young researchers within the VR community. Special efforts have been made by the organizers to achieve diversity among the students across institutions, and to recruit participants from groups traditionally underrepresented in the field of computer science, including women, persons of color, and people with disabilities. \n\nThis year's IEEE VR Doctoral Consortium builds on the successful format of the first three such events, which were also supported by NSF. The event will begin with a dinner on Saturday, March 19, immediately prior to the start of the IEEE 3DUI Symposium, to welcome the students and provide initial mentorship and tips for networking at the conference. The main activities will take place on Sunday, March 20, in parallel with the second day of IEEE 3DUI. The workshop will include morning and afternoon sessions in which each student presents his/her work to the other student participants and a panel of senior VR researchers, with sufficient time set aside after each talk for discussion and constructive feedback that addresses the strengths of the work, challenges and issues that may arise, and implications of the results. A group working lunch attended by all the students and mentors will be particularly valuable for unifying the individual goals and projects presented within the group as part of a \"big picture\" envisioning of the future of the field over the next 10-20 years. Each student will also be asked to prepare a poster on his/her research that will be on display during the conference as part of the poster sessions, and to submit a short (2-page) abstract to be archived in the IEEE Digital Library. The VR conference will begin that evening, with a welcome reception where Doctoral Consortium participants will network with what they have learned over the first two days. Additional smaller activities will take place at scattered times over the rest of the week; in particular, small groups of 2-3 students will meet for mentoring lunches and/or other networking events with senior members of the VR/3DUI community.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10449", "attributes": { "award_id": "2139716", "title": "U.S.-Ireland R&D Partnership: Wearable Dynamic Microsystem Sampler for Collecting Microbial Volatiles (SenSorp)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "CCSS-Comms Circuits & Sens Sys" ], "program_reference_codes": [], "program_officials": [ { "id": 763, "first_name": "Svetlana", "last_name": "Tatic-Lucic", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-15", "end_date": "2025-08-31", "award_amount": 390000, "principal_investigator": { "id": 26443, "first_name": "Masoud", "last_name": "Agah", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 244, "ror": "", "name": "Virginia Polytechnic Institute and State University", "address": "", "city": "", "state": "VA", "zip": "", "country": "United States", "approved": true }, "abstract": "The characterization and monitoring of volatile organic compounds (VOCs) emitted from different sources is immensely important in different disciplines. One of these applications is the analysis of VOCs emitted from human skin for biomarker discovery and disease diagnosis. Skin performs critical functions including protection of internal living tissue and other organs, establishes contact to the external environment and has high metabolic activity. Systemic as well as localized skin diseases are known to modify the molecular and microbial composition of human skin. Consequently, the skin is becoming recognized as a wealthy source of diagnostic information regarding physiological status. There is evidence of canines having a sophisticated olfactory ability to detect the presence of COVID-19 disease from the volatile emission of body and the role of skin volatiles in canine sensing of epilepsy attacks is thought to be significant. It is important to develop new robust and smart analytical workflows to study skin VOCs with the goal of new volatile biomarker identification for wearable bio-diagnostics. \n\nThe proposed research provides the first-of-its-kind approach for standardizing skin scent collection and develops a readily deployable system as small as an apple watch for point-of-care skin VOC collection. The proposed SenSorp is fabricated using microelectromechanical system (MEMS) and 3D printing technologies and includes a sampler to collect VOCs from skin and a sensor to track the amount of VOCs collected. SenSorp measures the collected VOCs in real time and notifies the user about the collected mass through its electronic circuity embedded within the SenSorp’s Smart Key. SenSorp is equipped with a novel 3D printed package that can prevent the adsorption of VOCs from the environment during sample collection from skin and during the storage via its embedded valving mechanism. The rotation of the Smart Key will open or close the VOC pathway from outside (skin/environment) to the adsorption materials in the SenSorp. The SenSorp Auto-Injector is the interface module to commercial gas chromatography instruments for identification of VOCs present in the skin. The validation of the system in controlled microbial environments with subsequent human subject studies is a key step toward the final objective of this collaborative effort, which is to make skin scent a robust medium for disease biomarker discovery and disease diagnosis. The outcome of this project will set an outstanding example of how microscale engineering and analytical chemistry can become highly complementary methodologies to develop low-cost, accessible platforms for biomarker discovery and disease diagnosis. This research will advance discovery while promoting teaching and learning at the undergraduate and graduate levels. The outcome of this research will be integrated with Virginia Tech’s outreach programs targeting mainly under-represented groups in STEM led by the Center for the Enhancement of Engineering Diversity (CEED). There will be wide dissemination of the research outcomes to the engineering and scientific communities in peer-reviewed journals, in presentation at multidisciplinary conferences, and in social media (Youtube, LinkedIn, and Clubhouse).\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": "10457", "attributes": { "award_id": "2050736", "title": "REU Site: Advancing Space Sciences through Undergraduate Research Experiences (ASSURE)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "EDUCATIONAL LINKAGES" ], "program_reference_codes": [], "program_officials": [ { "id": 7194, "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": "2021-06-01", "end_date": "2022-05-31", "award_amount": 159728, "principal_investigator": { "id": 26462, "first_name": "Matthew", "last_name": "Fillingim", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 26461, "first_name": "Trevor A", "last_name": "Bowen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 176, "ror": "", "name": "University of California-Berkeley", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The Advancing Space Sciences through Undergraduate Research Experience (ASSURE) program at the University of California Space Sciences Laboratory provides undergraduate students with an immersive experience in space science research and engineering. Students are exposed to a multidisciplinary research laboratory setting, conducting cutting edge research alongside leaders in the field. The ASSURE program actively recruits participants from community colleges and other institutions serving populations historically underrepresented in the space and geosciences with the aim of providing research experience early in their careers. The interdisciplinary approach taken in the program is reflective of the range of skills that students may eventually face in the workforce.\n\nThe ASSURE program supports research projects relating to the development of spacecraft instrumentation and hardware, data analysis, and high performance computing at the forefront of federally funded geospace research. Students involved in the program acquire experience required for design and management of experimental research programs and support a range of on-going geospace missions. The research staff at SSL is composed of a diverse international community working on a range of space physics missions in radio astronomy, magnetospheric physics, heliophysics, planetary science, high energy astrophysics, and maintains robust engineering facilities. The range of work at SSL provides ASSURE students with the opportunity to gain a comprehensive exposure to a range of geospace research, including space weather and other phenomena of national importance. Students will receive a boot camps session in coding and professional development on communication skills including elevator pitches and presenting at a professional conference.\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": 2, "pages": 1424, "count": 14236 } } }