Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1384&sort=-keywords
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-keywords", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1405&sort=-keywords", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1385&sort=-keywords", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1383&sort=-keywords" }, "data": [ { "type": "Grant", "id": "10004", "attributes": { "award_id": "2149492", "title": "Empirical and Causal Models for Heterogeneous Data Fusion", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "Methodology, Measuremt & Stats" ], "program_reference_codes": [], "program_officials": [ { "id": 3692, "first_name": "Cheryl", "last_name": "Eavey", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-15", "end_date": "2025-07-31", "award_amount": 281469, "principal_investigator": { "id": 25820, "first_name": "Debashis", "last_name": "Ghosh", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 859, "ror": "", "name": "University of Colorado at Denver", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "abstract": "This research project will advance the use of causal inference methods in situations where individual-level data are not available due to practical, ethical, or legal constraints. There has been a lot of work on the development of innovative methods to evaluate policy effects in observational databases, the area being termed causal inference. However, many of these methods require individual-level data. For a variety of reasons, it might not be possible to obtain individual-level data due to reasons such as maintaining patient privacy or other logistical issues. This project will extend statistical methodologies to accommodate practical real-world scenarios in a wide variety of disciplines, including medicine, the social sciences, and public health. There are a variety of important problems the new methods could be applied to, such as evaluating the effects of climate change on COVID19 incidence and deaths. Graduate students will be trained, and software and curricula in causal inference will be developed.\n\nThis research project will develop new methods for combining heterogenous databases. Such data have become commonplace with the vast expansion of databases in various types of scientific and epidemiological applications. First, the project will develop new approaches to estimate empirical associations for heterogenous data fusion problems. The investigator will leverage model misspecification theory in conjunction with resampling/perturbation-based methodology. Second, the project will develop new causal inference approaches for heterogeneous data fusion problems, primarily focusing on constrained estimation, simulation-based approaches, and sensitivity analysis techniques. The results of this research should lead to new theoretical underpinnings in various areas of the mathematical sciences, including statistical theory and causal inference. Primary subfields of statistics that will be addressed in this research include likelihood theory and inference, estimating equations, model misspecification, and causal inference.\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": "10005", "attributes": { "award_id": "2219216", "title": "OPP-PRF: Demographic, Epidemiologic, and Social Consequences of the 1918 Influenza Pandemic in Alaska", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "POST DOC/TRAVEL" ], "program_reference_codes": [], "program_officials": [ { "id": 25821, "first_name": "David", "last_name": "Sutherland", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-02-01", "end_date": "2025-01-31", "award_amount": 315337, "principal_investigator": { "id": 25822, "first_name": "Taylor", "last_name": "van Doren", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 399, "ror": "", "name": "University of Alaska Anchorage Campus", "address": "", "city": "", "state": "AK", "zip": "", "country": "United States", "approved": true }, "abstract": "This biocultural research explores the long-term demographic, epidemiologic, and social consequences of the 1918 influenza pandemic in Alaska. Using mixed methods, the research will evaluate pandemic impacts on life expectancy and survivorship in a region where infections such as tuberculosis and other respiratory diseases were prevalent. The proposed work will also investigate how catastrophic mortality events affect health, demography, and society in the decades after the pandemic ended.\n\nThis project applies a mixed-methods approach, integrating quantitative demographic data with qualitative archival records from 1910–1939. Demographic impacts will be analyzed using multiple decrement life tables for major causes of death (respiratory diseases, tuberculosis, cancer, cardiovascular disease, gastrointestinal infections, etc.) to detect changes in life expectancy and survivorship. Survival analyses will be performed to assess significant differences among regions and between males and females. Finally, thematic analyses of qualitative archival data will identify major themes related to the pandemic, health, subsistence, and social organization. \n\nThis project is jointly funded by the OPP Postdoctoral Research Fellowship Program, the Established Program to Stimulate Competitive Research (EPSCoR), and the Arctic Social Sciences Program.\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": "10006", "attributes": { "award_id": "2231597", "title": "The 41st National Association of Black Geoscientists Annual Technical Conference: Beyond the Pandemic Event Horizon", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Geosciences (GEO)", "GOLD-GEO Opps LeadersDiversity" ], "program_reference_codes": [], "program_officials": [ { "id": 1400, "first_name": "Brandon", "last_name": "Jones", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-01", "end_date": "2023-07-31", "award_amount": 49800, "principal_investigator": { "id": 25823, "first_name": "Stephen", "last_name": "Boss", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 586, "ror": "", "name": "University of Arkansas", "address": "", "city": "", "state": "AR", "zip": "", "country": "United States", "approved": true }, "abstract": "HBCUs have limited capacity nationally to produce geoscientists. Of the 100+ HBCUs nationally, there are 23 that offer degree programs relevant to Earth and Geosciences and consequently, of interest to the National Association of Black Geoscientists (NABG). Most of these (20) are environmental science programs at BS, MS, or PHD level, but they also include geology BS (1), geosciences MS (1), and atmospheric sciences (BS, MS, PHD). Faculty in these HBCU programs, in particular, are underrepresented at STEM and Geosciences-oriented national conferences. A primary aim of this conference is to engage faculty in these programs to enhance their awareness of NABG and aid their participation in the organization as it strives to create a more inclusive 21st Century geosciences workforce. The project will provide support for key faculty in these programs to attend the conference, develop a network of professional NABG members with whom they may interact going forward, and become active members in a vibrant minority-serving STEM organization. The objective of the workshop is to determine how NABG might better serve HBCU faculty and the many students-of-color they serve nationwide.\n\nThis project seeks financial support from NSF for approximately 50 student participants and up to 10 faculty from historically black colleges and universities (HBCUs) to attend the 41st Annual Technical Conference of NABG, 7-9 September 2022. For this year, the PI is actively recruiting faculty participants from the geoscience oriented degree programs (e.g. environmental and atmospheric sciences) at HBCUs. Faculty in these institutions and programs are historically under-represented at the NABG annual conference. The objective is to expand the disciplinary representation of NABG to include more people of color interested in environmental issues through engaging faculty at HBCUs. Expanding NABG membership with faculty in environmental sciences and atmospheric sciences at HBCUs will also significantly enhance visibility of NABG within the national cohort of 1890 Land Grant Institutions, and thus, enhance the stability and long-term viability of the organization.\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": "10007", "attributes": { "award_id": "2231600", "title": "Conference: 34th Midwestern Conference on Combinatorics and Combinatorial Computing", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "Combinatorics" ], "program_reference_codes": [], "program_officials": [ { "id": 2352, "first_name": "Stefaan De", "last_name": "Winter", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-08-01", "end_date": "2023-07-31", "award_amount": 26085, "principal_investigator": { "id": 25826, "first_name": "Songling", "last_name": "Shan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 25824, "first_name": "Amin", "last_name": "Bahmanian", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25825, "first_name": "Michael J", "last_name": "Plantholt", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 901, "ror": "", "name": "Board of Trustees of Illinois State University", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "This award provides support for participation by junior researchers, graduate students, undergraduates, and high school teachers in the 34th Midwestern Conference on Combinatorics and Combinatorial Computing (MCCCC34), which will be held at Illinois State University in Normal, Illinois, on October 21-23, 2022. The MCCCC began as the Carbondale Combinatorics Conferences which were held (1986-1990) at Southern Illinois University in Carbondale. The conference has since evolved into a prestigious national conference in all areas of combinatorics and combinatorial computing. It has achieved recognition and attracted scholars and researchers of various backgrounds from national and international institutions. A recent trend in the MCCCC series is the increased participation of graduate and undergraduate student researchers. The conference will feature 6 principal 50-minute speakers and about 60 contributed 20-minute talks by participants from throughout the nation and other parts of the world. We estimate around 100 participants will attend. The selection process for funding support will prioritize women, members of underrepresented groups, people with disabilities, veterans, and students. The Conference is supported in part by Illinois State University and by the Institute for Combinatorics and its Applications.\n\nAfter a 2-year hiatus due to the pandemic, we aim to nurture and expand the opportunities at the MCCCC34 by making mathematics research more accessible and inclusive, and emphasizing recruitment and support for both graduate and undergraduate students. MCCCC34 will cover a spectrum of pure and applied combinatorics, including graph theory, design theory, enumeration, and combinatorial computing. The conference will provide a conducive atmosphere for research mathematicians, graduate students, undergraduate students, and others interested in combinatorics and combinatorial computing to explore and discuss a variety of research problems in these areas, particularly problems that have a connection to both areas. The conference organizers aim to publish the conference proceedings in a research journal. The conference website can be found at: https://about.illinoisstate.edu/mcccc34/.\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": "10008", "attributes": { "award_id": "2231857", "title": "EAGER: Highly sensitive optical biosensing using bound states in the continuum of high-Q all-dielectric metasurfaces", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "BIOSENS-Biosensing" ], "program_reference_codes": [], "program_officials": [ { "id": 961, "first_name": "Aleksandr", "last_name": "Simonian", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-01", "end_date": "2024-08-31", "award_amount": 250000, "principal_investigator": { "id": 25827, "first_name": "Hayk", "last_name": "Harutyunyan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 265, "ror": "https://ror.org/03czfpz43", "name": "Emory University", "address": "", "city": "", "state": "GA", "zip": "", "country": "United States", "approved": true }, "abstract": "Biosensors are devices that can recognize and quantitatively detect biological analytes (chemical substances that can be analyzed). Optical biosensors work by converting the concentration of analytes to changes in light-based signals. The importance of such sensitive platforms has been demonstrated once again during the recent pandemic. The goal of this research project is to study the principles of a novel type of optical biosensing platform that can be used as highly sensitive low-cost diagnostic tools for improved personalized and stratified treatment at point of care facilities. The sensor design requires engineering of novel surfaces and special layered mirrors in order to create molecular vibrations that can be exploited to measure the concentration of analytes with unprecedentedly low limits of detection, which can be crucial for precise and early detection of pathogens. The approach does not require complex alignment and stabilization which is promising for low-cost and robust biosensing devices. In the framework of the project, a partnership with a local non-profit organization will provide opportunities for K-12 students to broaden their access to STEM learning and careers through lab tours, career talks, science fair judging and other educational activities. \n\nThe goal of the research is to study optical bound states in the continuum in all-dielectric metasurfaces and explore their properties for the development of highly sensitive optical biosensors. Currently, refractometric label-free biosensing is typically based on resonant plasmonic and metamaterial systems or more complex microring resonators and waveguide interferometers. Unfortunately, most of these systems are either not very sensitive or rely on complex and costly platforms requiring stabilization and precise alignment. This project will explore the coupling of optical magnetic dipole mode of dielectric nanocavities to Bragg mirrors which lead to the formation of unusually high-quality factor resonances that can be used for optical sensing. Unlike the typical state-of-the-art platforms, this novel approach achieves high quality factor bound states in the continuum not via the breaking of local spatial symmetry but through coupling of the optical modes to their mirror image. The resultant resonances are expected to achieve an order of magnitude improvement in quality factors and limit of detection compared to the existing solutions, paving the way for highly sensitive, scalable, spectrometer-less, low-cost optical biosensors.\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": "10009", "attributes": { "award_id": "2229983", "title": "Microelectronics and Nanomanufacturing Partnership for Veterans", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Education and Human Resources (EHR)", "Advanced Tech Education Prog" ], "program_reference_codes": [], "program_officials": [ { "id": 692, "first_name": "Virginia", "last_name": "Carter", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-01", "end_date": "2026-08-31", "award_amount": 4671964, "principal_investigator": { "id": 11369, "first_name": "Osama", "last_name": "Awadelkarim", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 25828, "first_name": "Richard", "last_name": "Vaughn", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25829, "first_name": "Juan P", "last_name": "Gonzalez-Gonzalez", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25830, "first_name": "Anthony C Fontes", "last_name": "Sr", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 25831, "first_name": "Seung J", "last_name": "Paik", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 219, "ror": "", "name": "Pennsylvania State Univ University Park", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true }, "abstract": "The United States (U.S.) has been experiencing a semiconductor chip shortage due in part to the pandemic. This shortage has impacted businesses and industry, including automotive, consumer electronics, data science, and cybersecurity to name a few. Efforts are underway to support semiconductor and microelectronics technologies in the U.S., which will require a prepared and diverse skilled technical workforce to support these critical economic engines. A strong nanomanufacturing workforce will enable the U.S. to be competitive in the global economy and will support the U.S. leadership in microelectronics and semiconductor technologies. This project led by the Center for Nanotechnology Education and Utilization at Pennsylvania State University will support members of the U.S. military, veterans, and family members to gain the knowledge, skills, and abilities (KSAs) to move into the semiconductor and microelectronics workforce. Many of these individuals have relevant experience with military technology as members of teams responsible for building mechanical, electrical and communication systems. Veterans without direct military technology experiences also have skills such as teamwork and project management skills that industry recognizes as needed skills within their workforce. \n\nThis project will provide educational opportunities for military personnel, veterans, and family members to gain the KSAs needed to enter the nanomanufacturing workforce. Members of the collaborative include 2-yr and 4-yr institutions, microelectronics companies, and the Global SEMI Trade Association. The project will leverage a successful pilot that involved the U.S. Navy, Tidewater Community College and Norfolk State University, which will be adapted and scaled to involve additional academic institutions and branches of the military. The project will: (1) adapt and implement the content of the pilot and offer a Microelectronics and Nanomanufacturing Certificate Program (MNP) supported by community and technical colleges and universities, (2) continually assess and adjust the content in consultation with industry for skillset needs, (3) work to secure the endorsement of the MNP by departments of veteran services for different military branches, and (4) elevate the role of community and technical college faculty in the delivery of the MNP minimizing the dependence on the research universities. This project is funded by the Advanced Technological Education program that focuses on the education of technicians for the advanced-technology fields that drive the nation's economy.\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": "10010", "attributes": { "award_id": "2110953", "title": "STTR Phase I: Digital Mental Health for Children and Adolescents", "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": 1782, "first_name": "Rajesh", "last_name": "Mehta", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-07-15", "end_date": "2023-06-30", "award_amount": 255932, "principal_investigator": { "id": 25832, "first_name": "Tamara", "last_name": "Fyke", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1874, "ror": "", "name": "BLUEWONDER CREATIVE, LLC", "address": "", "city": "", "state": "TN", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is improved children’s mental and behavioral health via the creation of a platform that unifies the silos of healthcare and education to put children and families first. Due in part to the current pandemic, there is an increased need to support children’s mental and behavioral health. The end-users are the 28 million children between 8-12 years old in America. The team is advancing patient-centered care and personalized education. After the platform is tested for an initial age group of 8-12-year-olds, the plan is to expand the platform across the age-span, including early childhood through senior adults. The platform promises engaging, self-contained, adaptable, safe, and research-based support and learning. The team expects to grow their market share through strategic partnerships with healthcare, education, industry, and non-profit partners. \n \nThis Small Business Innovation Research Phase I project focuses on leveraging technology, including natural language processing, machine learning, and chatbots, to provide information to students, families, and educators about mental and behavioral health and to get feedback from these groups through their web-based computing devices. This project seeks to develop an online platform that will engage students and allow them to leverage personal care resources aimed at building resilience and providing them access to support and information customized to their individual needs. This Phase I project focuses on building a proof-of-concept platform that provides precision mental health solutions by combining interactive health and wellness methods with engaging content personalized and delivered by machine learning technologies and tools.\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": "10011", "attributes": { "award_id": "2232266", "title": "The Upstate New York Topology Seminar", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "TOPOLOGY" ], "program_reference_codes": [], "program_officials": [ { "id": 989, "first_name": "Swatee", "last_name": "Naik", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-15", "end_date": "2023-08-31", "award_amount": 6625, "principal_investigator": { "id": 25834, "first_name": "Stephan Martin", "last_name": "Wehrli", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 25833, "first_name": "Claudia M", "last_name": "Miller", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 579, "ror": "https://ror.org/025r5qe02", "name": "Syracuse University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "This National Science Foundation award provides support for the 3rd Upstate New York Topology Seminar (UNYTS), which will take place at Syracuse University on Saturday, October 22, 2022. Topology is a thriving and active field of mathematics. This event will help facilitate the creation of a cohesive topology community in New York State and nearby regions. The NSF funding will allow for partial support of graduate students and postdoctoral fellows. This in-person opportunity to network with peers and established mathematicians will help mitigate the adverse effects the pandemic has had on the careers of these early researchers. The conference will also allow the entire regional topology community to present their own work, learn about new ideas, develop research collaborations, and build a regional network of scientific contacts. The schedule will have built-in formal and informal networking opportunities for productive discussions to develop naturally from exposure to the talks and from other common interests.\n \nThis is the third installment of the Upstate New York Topology Seminar series (UNYTS), which was started in Fall 2017 under the name Topology Day. The conference will feature three one-hour long plenary lectures by Francesco Lin, Allison Miller, and Martina Rovelli. These speakers are established and emerging leaders in the fields of Low Dimensional Topology and Algebraic Topology. In addition, there is an open call for contributed talks within the special sessions to be held in the afternoon. More information is available at the conference website at https://clamille.github.io/UNYTS2022.html.\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": "10012", "attributes": { "award_id": "2222293", "title": "Learning through Failure: Exploring how Setbacks in Science in the Context of Course-based Undergraduate Research Experiences can Lead to Self-knowledge and Resilience", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Education and Human Resources (EHR)", "Postdoctoral Fellowships" ], "program_reference_codes": [], "program_officials": [ { "id": 2334, "first_name": "Earnestine", "last_name": "Psalmonds", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-01", "end_date": "2024-08-31", "award_amount": 300000, "principal_investigator": { "id": 25835, "first_name": "Sandhya", "last_name": "Krishnan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 172, "ror": "", "name": "University of Colorado at Boulder", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "abstract": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). \n\nThis postdoctoral research fellowship project seeks to redefine what it means to fail in the sciences through investigating the potential for failure to be seen as a positive experience that results in increased learning for undergraduate science students. The investigator will implement a large-scale study that pursues three lines of inquiry. First is to investigate how failure may lead to science learning in an undergraduate research setting. Second is to examine what strategies instructors use to discuss and support students during failures. Third is to identify how those interactions may impact students’ resilience and approach to future science challenges. The project will inform the redesign of science curricula to help students learn more through the process of scientific failure. It will also inform how to support students’ growth as creative and critical thinkers, to expand the scope of success beyond their being good test-takers. More broadly, building student resilience will directly support the development of a globally competitive and diverse workforce consisting of scientists who can navigate failures thoughtfully to find creative solutions when tackling global challenges such as pandemics and climate change. In addition to conducting research, the investigator proposes to build professional self-competencies in quantitative research and analysis, mentoring students, teaching, and networks. \n \t\nThis research project aims to study students’ experiences of research-based failure in course-based undergraduate research experiences (CUREs) to better understand how these experiences can impact student learning and development of positive intrapersonal attributes. Intrapersonal constructs contributing to resilience, such as fear of failure, goal orientation, student-instructor trust, and coping are non-cognitive attributes that are known to impact the undergraduate learning experience, persistence, and success in STEM. These attributes are also highly likely to be influenced by students’ failure experiences. The investigator will recruit CURE students from diverse institutions such as predominantly undergraduate institutions, community colleges, and research-intensive institutions, to participate across four semesters in this two-year mixed-methods study. The investigator will integrate quantitative and qualitative approaches to develop and test a novel explanatory model of how the above intrapersonal constructs may change through experiences of research-based failure in CUREs. Quantitative approaches will include binary logistic regression models, and qualitative study will include multiple analytical approaches such as hermeneutic methodology to deeply examine students’ experiences. The integration of quantitative and qualitative work as part of the mixed methods design will yield a richer understanding of students’ failure experiences that will enable explanation of both current trends and predict future ones. Through the focus on failure, the project could elucidate the circumstances in which failure contributes to STEM attrition and help explain what supports and resources would support vulnerable populations of students in navigating failure experiences. This knowledge could be used to develop interventions to mitigate the psychosocial impact of failure while simultaneously creating opportunities for constructive epistemological “failures.” \n\nThe project responds to the STEM Education Postdoctoral Research Fellowship (STEM Ed PRF) program that aims to enhance the research knowledge, skills, and practices of recent doctorates in STEM, STEM education, education, and related disciplines to advance their preparation to engage in fundamental and applied research that advances knowledge within the field.\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": "10013", "attributes": { "award_id": "2225513", "title": "CIF: Small: Modeling, Analysis, and Control of Contagion Processes in Networks", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Comm & Information Foundations" ], "program_reference_codes": [], "program_officials": [ { "id": 1867, "first_name": "Phillip", "last_name": "Regalia", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-10-01", "end_date": "2025-09-30", "award_amount": 600000, "principal_investigator": { "id": 4535, "first_name": "Osman", "last_name": "Yagan", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 243, "ror": "", "name": "Carnegie-Mellon University", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 243, "ror": "", "name": "Carnegie-Mellon University", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true }, "abstract": "Contagion processes such as propagation of influence, information, and viruses can have dramatic impacts on the health and well-being of the society. This project will reveal how contagions are affected by various factors and parameters, some of which can be controlled by public-policy measures and by adjusting individuals’ behaviors. Thus, the project can help in developing efficient mechanisms for mitigating large-scale contagions including infectious-disease pandemics and misinformation campaigns. The project can also have a positive impact on national security by providing an improved understanding of the role of social influence in shaping popular opinion and actions, and thereby an improved capability to predict and control spread of antisocial behavior. The team of researchers will incorporate project results in teaching and disseminate them broadly in academic and industrial venues. The project will involve women and minority students and will include extensive outreach to K-12 students and teachers. \n\nThis project aims to develop new approaches in modeling, analysis, and control of simple (e.g., spread of information and diseases) and complex contagions (e.g., spread of influence and opinions) over networks. First, a novel complex contagion model will be used to study the simultaneous spread of multiple correlated opinions. Utilizing this model, the team of researchers will i) derive fundamental relations between the network topology, the correlations among opinions, and the propagation dynamics including final fraction of individuals supporting each opinion; ii) reveal the impact of correlated opinion propagation on the polarization in the population; and iii) develop algorithms to efficiently control the spread of an opinion with constraints on other opinions and/or polarization. For simple contagions, the team of researchers will analyze novel models of both information and viral spread and reveal the impact of i) mutations in the spreading item; and ii) the heterogeneity in the population, e.g., due to different mask-wearing behavior, vaccination status, or socio-cultural diversity, on the contagion dynamics.\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": 1384, "pages": 1405, "count": 14046 } } }