Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1384&sort=-end_date
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-end_date", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1405&sort=-end_date", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1385&sort=-end_date", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1383&sort=-end_date" }, "data": [ { "type": "Grant", "id": "14565", "attributes": { "award_id": "2330451", "title": "MFB: Massively parallel identification of translation regulatory sequences in human and viral mRNAs", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "Genetic Mechanisms" ], "program_reference_codes": [], "program_officials": [ { "id": 3529, "first_name": "Manju", "last_name": "Hingorani", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-03-01", "end_date": null, "award_amount": 1440000, "principal_investigator": { "id": 31214, "first_name": "Carson", "last_name": "Thoreen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 31213, "first_name": "Wendy V", "last_name": "Gilbert", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 452, "ror": "https://ror.org/03v76x132", "name": "Yale University", "address": "", "city": "", "state": "CT", "zip": "", "country": "United States", "approved": true }, "abstract": "Messenger RNAs (mRNAs) encode instructions for making proteins, which constitute the fundamental machinery for cellular function. Recent technological advancements have enabled the development of therapeutic mRNAs that can be delivered to humans, notably evident in widely used vaccines for SARS-CoV-2. The success of these therapeutics suggests the potential of new generations of mRNA medicines with applications beyond vaccines, such as anti- cancer therapies and treatment for genetic disorders. Realizing these goals will require the design of mRNAs that optimize protein expression and can be customized for specific tissues and cellular environments. The goal of this project is to leverage a strategy for quantifying the translation functions of synthetic libraries of thousands of RNAs to discover features that modify the timing and quantity of protein production. Insights into these fundamental rules for gene expression will be important building blocks for engineering new classes of mRNA therapeutics to address a broader spectrum of human disease, thus advancing RNA biotechnology. The project will also provide training opportunities for postdoctoral scholars and engage middle and high school students in RNA biology.<br/><br/>The quantity of protein synthesized from an mRNA can span more than two orders of magnitude, vary across cell types, and rapidly change in response to cellular signals. The features of mRNAs that determine this range of expression remain largely unknown. Possibilities include sequence motifs recognized by RNA-binding proteins, structured RNA elements and nucleotide modifications that affect the translation process. This project will employ a recently developed massively parallel reporter assay to systematically identify features of thousands of human and viral 5′ UTRs that determine the amount and timing of protein production. Aim 1 will examine the translation functions of diverse classes of nucleotide modifications and identify the molecular mechanisms that recognize them. Aim 2 will quantify protein production from a synthetic library of circular RNAs to identify RNA elements capable of accessing mechanisms for non-canonical translation initiation. Aim 3 will identify features of mRNAs that determine cell-type specific expression and the mechanisms that establish this specificity. These efforts will provide a comprehensive understanding of mRNA- encoded determinants of translation, providing insights into basic determinants of gene expression and guiding the design of new mRNA therapeutics.<br/><br/>This project is supported by the Genetic Mechanisms program/Division of Molecular and Cellular Biosciences in the Directorate for Biological Sciences and by the Division of Chemistry in the Directorate for Mathematical and Physical Sciences.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "14566", "attributes": { "award_id": "2343542", "title": "Doctoral Dissertation Research in DRMS - Impressions Matter: The Role of Scientists’ Self- Presentation in Effective Risk Communication on Social Media", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "Decision, Risk & Mgmt Sci" ], "program_reference_codes": [], "program_officials": [ { "id": 652, "first_name": "Robert", "last_name": "O'Connor", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-03-01", "end_date": null, "award_amount": 23891, "principal_investigator": { "id": 31216, "first_name": "Hang", "last_name": "Lu", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 31215, "first_name": "Annie L", "last_name": "Zhang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 169, "ror": "", "name": "Regents of the University of Michigan - Ann Arbor", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true }, "abstract": "The rise of social media platforms has reshaped our communication landscape, fostering diverse content creation and impacting the dynamics of information dissemination. Within this ecology, scientists have emerged as increasingly pivotal risk communicators on social media: for example, scientists were propelled to the forefront of public discourse during the Covid-19 pandemic, positioning themselves as experts in these online information environments. This project explores how scientists may leverage social media to present their research and themselves to the public, as well as how public audiences might respond to this “self-presentation.” Specifically, how might certain self-presentation strategies impact audience perceptions of scientists' competence, warmth, humility, and transparency, and how might these perceptions relate to risk understanding and support for risk-related policies? Understanding the potential persuasive impacts of scientists’ social media use may support the identification and development of effective risk communication practices not only for scientists, but other stakeholders on social media and beyond. This research aims to help empower scientists at all levels and from different backgrounds and experiences in risk communication.<br/><br/>This research addresses these guiding questions by examining the impact of scientists' self-presentation strategies across two relevant areas: (1) the dissemination of their research outcomes and (2) the contextualization of their research processes. The researchers explore how these strategies may impact audiences’ perceptions of scientists as risk communicators through two mechanisms—expectancy violation and identification—and how source perceptions may relate to risk perceptions and policy support. Lastly, the researchers examine two message-level features of these self-presentation strategies (personalization and emotionalization) as potential moderators that may impact these relationships. To test the conceptual framework, the researchers are collecting and analyzing data from two randomized experiments that involve a general population sample of adults. Altogether, this research bridges literature on social media with strategic risk communication and persuasion to offer a more nuanced perspective of an evolving aspect of risk communication as situated in a networked environment.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "14567", "attributes": { "award_id": "2404627", "title": "STTR Phase I: Development of Thermostable Formulations of mRNA Vaccines and Therapeutics", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)", "STTR Phase I" ], "program_reference_codes": [], "program_officials": [ { "id": 936, "first_name": "Henry", "last_name": "Ahn", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-03-01", "end_date": null, "award_amount": 274991, "principal_investigator": { "id": 31218, "first_name": "Harrison", "last_name": "Wooten", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 31217, "first_name": "Antje P", "last_name": "Almeida", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2477, "ror": "", "name": "DURAVAX INC", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to overcome the cold-chain limitation for messenger ribonucleic acid (mRNA) therapy. Besides the COVID-19 mRNA vaccines developed by Moderna and Pfizer, many other mRNA vaccines and drugs are under development for treating cancers and infectious diseases, gene therapy, and cell therapy. The average global revenue of mRNA therapy in the next decade is projected to be ~$18 billion annually. One main bottleneck for the distribution of mRNA therapy products is the poor stability of the mRNA drug products, which results in high cold-chain costs, big wastage, and limited accessibility to rural areas. The thermostable mRNA formulation technology developed in this project will help pharmaceutical companies to save multi-billion dollars per year associated with low stability and expand the market to the rural US and tropical countries. The thermostable formulations will make the revolutionary mRNA vaccines and drugs accessible to the approximately 60 million rural population in the US and the approximately 3 billion people living in tropical countries without adequate cold-chain facilities. Expansion of the market will also lead to more affordable prices of mRNA therapy products for low-income, especially uninsured, families.<br/><br/>This Small Business Technology Transfer (STTR) Phase I project will provide a low-cost and scalable solution to eliminate the cold-chain challenges in the distribution of mRNA active pharmaceutical ingredient (API) and mRNA lipid-nanoparticles (mRNA-LNPs) drug products. mRNAs and mRNA-LNPs in aqueous solutions undergo degradation through various pathways. Currently, the only way to increase their stability without freezing is to remove water by lyophilization, which requires additional facility, costs, time, and process development. This STTR Phase I project aims to test the feasibility to store the thermostable liquid formulations of mRNAs and mRNA-LNPs at room temperature for transportation and long-term storage. The research plan is designed towards two objectives: (1) To demonstrate mRNA APIs with various lengths in the optimized granule formulations retain >90% activity after transportation at 20ºC for more than two weeks; (2) To demonstrate that the optimized thermostable formulations of mRNA-LNP drug products retain >90% activity after storage at 20ºC for more than six months and 50ºC for up to 7 days during tropical outdoor transportation. Completing the Phase I project will provide the evidence to support that thermostability of the proprietary mRNA and mRNA-LNP formulations can meet the industrial requirement.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "14568", "attributes": { "award_id": "2341047", "title": "CAREER: Development of Radio Frequency Non-Invasive Nanosecond Pulse Therapeutic Devices", "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": 4345, "first_name": "Jenshan", "last_name": "Lin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-03-01", "end_date": null, "award_amount": 487880, "principal_investigator": { "id": 31219, "first_name": "Ji", "last_name": "YOON", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 903, "ror": "", "name": "Board of Regents, NSHE, obo University of Nevada, Reno", "address": "", "city": "", "state": "NV", "zip": "", "country": "United States", "approved": true }, "abstract": "Prior to the global pandemic, mental and neurological health conditions such as anxiety and depression were already increasing at alarming rates. Now, according to the World Health Organization (WHO), post pandemic incidence of such conditions has increased by 25-35% worldwide and the WHO is calling for all countries to step up mental health services and support. This highlights the need for more accessible and less invasive treatment options for neurological disorders. Electrical neurostimulation methodologies, such as transcranial magnetic stimulation (TMS), have proven effective in treating various neurological disorders. TMS stimulates the brain using short-duration pulses of electrical current induced by a magnetic field. However, TMS requires stable high-power systems typically found in hospital settings. TMS treatment plans involve daily hospital visits for three weeks, or sometimes multiple treatments in a single day, which limits accessibility to patients who are already managing depression or anxiety symptoms such as social withdrawal and sleep irregularities that disrupt their everyday routines. Moreover, attending regular in-person treatment sessions may not be feasible for those in rural or low-income demographics. However, nanosecond electrical pulses (NEPs), distinguished by their high intensity and extremely narrow pulse width, have emerged as a promising therapeutic approach for various neurological disorders. NEP has demonstrated remarkable efficacy in stimulating cells and nerves without causing harm and has potential for portable devices that would help reduce the need for hospital visits and greatly increase accessibility. This project seeks to understand the limitations of traditional NEPs and find solutions to adapt them to smaller devices. The project will produce a medical device prototype incorporating the research findings, broadening the range of non-invasive, accessible neurological treatment options for patients. The project's K-12 outreach, in collaboration with Sierra Nevada Journeys and employing biosensors in Family Science Nights and adult programs, will enhance STEM education through their feedback expertise.<br/><br/>NEPs offer substantial neuromodulation potential, capable of replicating physiological stimuli for non-invasive treatment of neurological disorders. Despite their potential, NEPs encounter obstacles in non-invasive in-vivo applications due to constraints in penetration depth and signal distortion through human or animal body. The objectives of this study are to (1) understand the limitations of traditional NEPs and find solutions to adapt them to smaller devices, (2) address the issue of signal distortions caused by varying anatomical differences, and (3) develop a medical device prototype that incorporates solutions to the aforementioned challenges. Leveraging the potential of NEPs, the research will employ RF signals for enhanced penetration, utilize deep-learning techniques for anatomical compensation, and incorporate wider pulse widths and MHz pulse repetition rates to lower the threshold voltage. The use of digitally generated RF-NEP could represent a significant innovative shift in neurostimulation methodology. This non-invasive approach allows for deeper penetration into animal bodies while including specific waveforms that satisfy specific needs. The integration of these innovative solutions into the design of a new medical device speaks to the translational potential of this research. This project anticipates advancing theoretical knowledge and a concrete, tangible improvement in neurostimulation treatment methods, contributing significantly to the broader neuroscience and neurological therapeutics field.<br/><br/>This project is jointly funded by the Communications, Circuits and Sensing Systems (CCSS) Program and the Established Program to Stimulate Competitive Research (EPSCoR).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "14569", "attributes": { "award_id": "2413624", "title": "Depopulating Holding Centers during the COVID-19 Pandemic", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "Law & Science" ], "program_reference_codes": [], "program_officials": [ { "id": 31220, "first_name": "Antwan", "last_name": "Jones", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2024-01-01", "end_date": null, "award_amount": 375000, "principal_investigator": { "id": 2734, "first_name": "Caitlin", "last_name": "Patler", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 276, "ror": "", "name": "University of California-Davis", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 176, "ror": "", "name": "University of California-Berkeley", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "This study expands our scientific understanding of how release from holding centers affects the wellbeing of individuals and their families. The COVID-19 pandemic marked a change in some communities in the United States, such that holding facilities for transitory individuals were depopulated to allow for social distancing and protect health. This project takes advantage of the release of tens of thousands of such individuals to investigate how release from holding centers affects household wellbeing, including economic stability, health and wellbeing, engagement with key societal institutions, and children’s educational outcomes. The findings from this study will inform decision-making on holding practices at the federal, state, and local levels.<br/><br/>This study will use a longitudinal, mixed-methods, and multi-perspective research design to follow up to 300 households that experienced changes to the holding status of a household member. First, the project will conduct multiple waves of telephone surveys with formerly held individuals to capture individual and household impacts over time. Second, the project will survey and interview family members (e.g., spouse, child) of formerly held individuals. Third, the study will compare a subgroup of study households residing in California to a similarly-situated, representative sample of households observed in the California Health Interview Survey (CHIS) during the same time period. This allows the study’s findings to make population-level comparisons, including accounting for concurrent challenges faced by communities during the COVID-19 pandemic.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "14570", "attributes": { "award_id": "49100421C0035", "title": "FACT CHAMPION - Fact-checker, Activist, and Academic Collaboration Tools: Combatting Hate & Abuse towards Minorities as well as Misinformation & Propaganda In Online Networks", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Convergence Accelerator Resrch" ], "program_reference_codes": [], "program_officials": [ { "id": 31221, "first_name": "Michael", "last_name": "Pozmantier", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-09-15", "end_date": null, "award_amount": 749974, "principal_investigator": { "id": 31222, "first_name": "Scott", "last_name": "Hale", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2478, "ror": "", "name": "Meedan, Inc.", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Fact-checker, Academic, and Community Collaboration Tools: Combating Hate, Abuse, and Misinformation with Minority-led Partnerships (FACT CHAMP) will build the tools and infrastructure to enable state-of-the-art research and practice to curb misinformation online. Our platform, FACT, will streamline and facilitate collaboration of fact-checkers, NGOs, researchers, and community leaders—particularly those from minority groups. FACT will allow practitioners and community leaders to share misinformation data and research challenges securely with academics. At the same time it will also allow academic solutions to be more easily used in practice. FACT CHAMP includes a convergence of social science and computer science research and a range of non-profit, startup, industry, and academic partners. We will conduct in-depth ethnographic-inspired research in close partnership with Asian American and Pacific Islander communities where racially-targeted misinformation and hate speech have surged in the wake of COVID-19. We will also conduct three proof-of-concept activities to understand how we can best enable deep and meaningful collaboration between researchers, fact-checkers, and community leaders to combat hate, abuse, and misinformation. Through these activities, we will advance research on detection of controversy and hateful content, improve our understanding of hate speech and misinformation, and, most importantly, iteratively develop new tools and adapt existing ones to create collaboration infrastructure aligned with the needs of our stakeholders.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "14571", "attributes": { "award_id": "2101770", "title": "2021 FRONTIERS OF ENGINEERING SYMPOSIA (US FOE AND GERMAN-AMERICAN FOE)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "EFRI Research Projects" ], "program_reference_codes": [], "program_officials": [ { "id": 6682, "first_name": "Louise R.", "last_name": "Howe", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-03-01", "end_date": null, "award_amount": 110000, "principal_investigator": { "id": 6683, "first_name": "Janet", "last_name": "Hunziker", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 339, "ror": "https://ror.org/038mfx688", "name": "National Academy of Sciences", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 339, "ror": "https://ror.org/038mfx688", "name": "National Academy of Sciences", "address": "", "city": "", "state": "DC", "zip": "", "country": "United States", "approved": true }, "abstract": "The Frontiers of Engineering (FOE) Symposia, organized by the National Academy of Engineering, provide emerging engineering leaders from academia, industry, and government laboratories the opportunity to share research insights to facilitate an interdisciplinary transfer of knowledge and research methodologies. The nature of emerging technologies and how they fit together to create products and processes that drive economic growth makes it essential that engineers understand research developments, techniques and approaches beyond their own discipline. The symposia serve as a catalyst to spur engineering innovation and foster collaborative networks of researchers within the United States and between engineers from the United States and partnering countries. The FOE symposia may also serve to increase the visibility of engineering and to highlight the key roles through which engineers serve society.<br/><br/>This award will provide partial support for two Frontiers of Engineering (FOE) symposia, to be held in 2021. These symposia, organized by the National Academy of Engineering (NAE) in concert with international partner organizations, are for early career researchers. The meetings to be funded by this award in 2021 are: German-American FOE (March, 2021; Oak Ridge, Tennessee); and US FOE (September, 2021; Boulder, Colorado). The 2021 GAFOE will focus on Quantum Computing, Carbon Capture and Utilization, Manufacturing 4.0, and Biologization (defined as the creation of machines from biological units). Topics for the 2021 US FOE symposium are: Building Resilience to Pandemics, Cybersecurity of Infrastructure, Direct Air Capture for Climate Mitigation, and Engineering the Future of Space Exploration. Approximately 100 outstanding young engineers for the U.S. symposium and 30 from each country for the bilateral symposium will participate. Each two and a half day symposium will include plenary sessions, break-out and poster sessions, and opportunities for developing collaborative research partnerships. Sessions will consist of presentations on cutting-edge research, innovations, and emerging research opportunities in engineering fields relevant to the symposium. As the scheduled dates for each symposium approaches, pandemic status assessments will be conducted to determine whether to delay the meeting or convert to a virtual format. If meetings are held virtually, the online platform will be purposely designed to afford robust networking opportunities. FOE symposium papers, abstracts, presentation videos, and slides will be made available on the FOE website (www.naefrontiers.org).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "14572", "attributes": { "award_id": "2037026", "title": "FMRG: Manufacturing ADvanced Electronics through Printing Using Bio-based and Locally Identifiable Compounds (MADE-PUBLIC)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "SSA-Special Studies & Analysis" ], "program_reference_codes": [], "program_officials": [ { "id": 8531, "first_name": "Siddiq", "last_name": "Qidwai", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-01-01", "end_date": null, "award_amount": 9150001, "principal_investigator": { "id": 25288, "first_name": "Junhong", "last_name": "Chen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 5112, "first_name": "Mark C", "last_name": "Hersam", "orcid": "https://orcid.org/0000-0003-4120-1426", "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": "['http://www.hersam-group.northwestern.edu/']", "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 317, "ror": "https://ror.org/000e0be47", "name": "Northwestern University", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true } ] }, { "id": 31223, "first_name": "Stuart J", "last_name": "Rowan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 31224, "first_name": "Santanu", "last_name": "Chaudhuri", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 31225, "first_name": "Elizabeth", "last_name": "Ainsworth", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 289, "ror": "https://ror.org/024mw5h28", "name": "University of Chicago", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "This Future EcoManufacturing research grant will enable a future intelligent, scalable, and democratized manufacturing paradigm that allows for distributed printing of low-cost, biodegradable, and recyclable electronic devices using locally identifiable resources, such as bio-based materials derived from plants. These electronic devices are critical components in the rapidly evolving Internet of Things (IoT). The distributed manufacturing can lower overall device costs (by saving transportation costs) and make the supply chain more resilient during disruptions (e.g., during a pandemic). This project will demonstrate as a prototype the distributed printing of a lithium-ion battery (LIB) - powered chemical sensors using plant-derived inks. The printed devices will be used for monitoring growth conditions of hydronic plants that are used to derive the inks. The same platform can be used to print many other sophisticated, biodegradable/recyclable electronic devices using bio-based materials through customization and active learning. Through partnership with community colleges, Manufacturing USA Institutes, and manufacturing incubators, the project aims to educate, train, engage, and excite diverse student audiences and the public on the future sustainable manufacturing through several new, tailored initiatives, such as a cross-institutional certificate program, printable electronics hackathon and DIY initiative, and citizen science competition. <br/><br/>The goal of the project is to enable a manufacturing supply chain from precision agriculture/hydroponics to advanced biodegradable and recyclable electronics. The project will lead to major science advances in three domains: precision growth of plants, manufacturing of tailored bio-based inks, and sustainable production of printable electronics. As a convergent research program, the project will further lead to value-added transferrable and scalable scientific advancements, including novel artificial intelligence/machine learning (AI/ML) algorithms for manufacturing, a framework for designing sustainable and systematically optimized manufacturing processes, and techniques for incorporating heterogeneous data into manufacturing data systems while automatically refining the models. Learned models will correlate plant phenotypes and growth conditions with cellulose and lignin extraction, connect ink formulation with desired ink properties, and associate printing parameters with electronic device performance and quality. The project will lead to an open-source biomaterials-based electronics manufacturing data infrastructure (BEMDI) that fosters innovation through building a community of innovators, educators, and industry partners interested in manufacturing bio-based printable electronics. This Future Manufacturing research is supported by the Divisions of Civil, Mechanical and Manufacturing Innovation (CMMI), Biological Sciences (BIO), Emerging Frontiers and Multidisciplinary Activities (EFMA), Materials Research (DMR), Electrical Communications and Cyber Systems (ECCS), Engineering Education and Centers (EEC), and Mathematical Sciences (DMS).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "14573", "attributes": { "award_id": "2041414", "title": "I-Corps: A device to improve the ability to monitor the fetus and uterus during pregnancy, labor, and delivery", "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": [ { "id": 602, "first_name": "Ruth", "last_name": "Shuman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-01-01", "end_date": null, "award_amount": 50000, "principal_investigator": { "id": 31226, "first_name": "Julie", "last_name": "Hasenwinkel", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 579, "ror": "https://ror.org/025r5qe02", "name": "Syracuse University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this I-Corps project is the development of a new fetal monitor to accurately assess fetal health and the integrity of the uterine scar in the case where a woman has a previous C-section (operative) delivery. There are about 4 million births in the US annually. The fetal monitoring market is expected to reach approximately $3.6 billion in 2022. This project will advance translation of a monitor providing accurate data, improved maternal mobility, and better outcomes. Furthermore, the technology is envisioned to be disposable, reducing exposure to pathogen transmission - a benefit in particular during the pandemic.<br/><br/>This I-Corps project advances translation of a medical device that monitors the fetus and uterus during pregnancy, labor and delivery. Fetal monitors today are unreliable at providing consistent interpretive data of fetal well-being in utero and require constant readjustment to ensure consistent fetal tracing. This process is cumbersome and introduces dangerous errors, most often due to fetal, maternal and monitor movement. This process explores a wireless device generating valuable monitoring data in a consistent, thorough, hygienic, and efficient manner that is comfortable for the patient.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "14574", "attributes": { "award_id": "2041136", "title": "EAGER: Understanding and Mitigating Misinformation in Visualizations on Social Media", "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": 864, "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": "2021-01-01", "end_date": null, "award_amount": 200000, "principal_investigator": { "id": 31228, "first_name": "Alexander", "last_name": "Lex", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 31227, "first_name": "Marina", "last_name": "Kogan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 202, "ror": "https://ror.org/03r0ha626", "name": "University of Utah", "address": "", "city": "", "state": "UT", "zip": "", "country": "United States", "approved": true }, "abstract": "In a time of crisis, such as during a hurricane or a global pandemic, social media is an important source of information for the general population. In these scenarios, data visualizations are often used to convey information that is critical for decision making by individuals. For example, a visualization of the path of a hurricane can inform the affected population about the need to prepare or evacuate; while a visualization about the prevalence of a disease in a certain area can inform personal choices, such as limiting interactions with others during a relevant time period. Visualizations, however, can be flawed, which can lead to misinterpretation of the data, and, in a crisis, lead to decisions with negative consequences. This project seeks to identify aspects of visualizations that makes them widely shared, identify flaws a visualization might have, and warn social media users about them. Ultimately, this project can lead to better responses to a crisis by the general population, and contribute to improving visualization literacy. Finally, this project will also enable the training of two graduate students, provide opportunities for undergraduate research, and curate material that can be leveraged by educators teaching about visualization design.<br/><br/><br/>These goals will be achieved by applying existing and novel methods, such as topic modeling and calculating measures of social attention, to three large dataset of social media posts related to recent crisis. Using a qualitative coding approach, a taxonomy of design problems will be developed. This taxonomy will be used to label a large dataset. Finally, a prototype intervention in the form of a plug-in that warns of problematic visualizations, but also enables users to classify problems with visualizations they encounter, will be developed. The dataset and the annotations compiled in the course of this project will be shared publicly. The software created will be released under a permissive, non-viral open source license.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 1384, "pages": 1405, "count": 14046 } } }