Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1385&sort=-award_id
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-award_id", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=-award_id", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1386&sort=-award_id", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1384&sort=-award_id" }, "data": [ { "type": "Grant", "id": "4427", "attributes": { "award_id": "1519467", "title": "IUSE/PFE:RED: Shifting Departmental Culture to Re-Situate Learning and Instruction", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "EngEd-Engineering Education" ], "program_reference_codes": [], "program_officials": [ { "id": 15126, "first_name": "Jumoke", "last_name": "Ladeji-Osias", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-07-01", "end_date": "2021-06-30", "award_amount": 2000000, "principal_investigator": { "id": 15131, "first_name": "Christine", "last_name": "Kelly", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 154, "ror": "https://ror.org/00ysfqy60", "name": "Oregon State University", "address": "", "city": "", "state": "OR", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 15127, "first_name": "Milo D", "last_name": "Koretsky", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 15128, "first_name": "Michelle K", "last_name": "Bothwell", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 15129, "first_name": "Susan B", "last_name": "Nolen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 15130, "first_name": "Devlin", "last_name": "Montfort", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 154, "ror": "https://ror.org/00ysfqy60", "name": "Oregon State University", "address": "", "city": "", "state": "OR", "zip": "", "country": "United States", "approved": true }, "abstract": "Revolutionary Changes in Chemical, Biological and Environmental Engineering at Oregon State University\n\nThe purpose of this project is to make bold and deliberate changes to the educational environment and practices in the School of Chemical, Biological, and Environmental Engineering at Oregon State University. While society needs engineers from diverse backgrounds ready to face the challenges of the 21st century, most engineers are still educated using methods developed several decades ago. One of the most important shifts in thinking (that has yet to be incorporated into engineering education) is to move away from \"decontextualized\" content - in which what students learn is intentionally removed from the context of their lives, identities and future careers. Engineering students, therefore, are hindered from putting their whole selves into engineering and learning, and many talented students leave engineering as a result. The project team is redesigning the curriculum and investing in extensive faculty training to reshape the School of Chemical, Biological, and Environmental Engineering into a warm, welcoming environment that helps students build strong ties between the content in the classroom and the rest of their lives. The graduates will be dramatically better prepared to apply their knowledge to whatever new and unpredictable challenges face our society in the years to come. \n\nWhile the School of Chemical, Biological, and Environmental Engineering (CBEE) at Oregon State University provides students many innovative learning opportunities, the extent to which these efforts are marginalized and isolated limits their influence. The goal of the effort is to implement revolutionary change by replacing a business-as-usual approach with a holistic, inclusive, professionally based learning environment woven through both curricular requirements and co-curricular opportunities. The team will address social inequality by creating engineering educational systems and interpersonal interactions that are professionally and personally life affirming for all people across their differences. Change will come through construction of a culture of inclusion and a shift in learning environments from sequestered activities to realistic, consequential work. This requires a fundamental change in the nature of department culture (values, norms and structure). \n\nThe effort's core activities include: (1) curricular redesign of nine core sophomore- and junior-level studio courses to include more realistic, consequential work (leveraging research-based pedagogies like problem-based learning and model-eliciting activities); (2) growing faculty and students' capacity to engage issues of inclusivity by shifting their cognitive and affective knowledge of power and privilege; (3) planning and implementing student professional development pods, longitudinally mixed student teams where students help one another understand the university experience and how it relates to professional practice; and (4) implementing formal changes in governing policies and procedures within CBEE. This project will provide the first well-documented case study of institutional, cultural change in engineering making use of a situative theory. As more institutions and faculty experience an inclusive culture centered on engaging students with work that connects to engineering practice as well as their own identities and communities, we expect retention, recruitment and graduation numbers to increase. Additionally, faculty empowered to participate holistically in their teaching and research will reap personal benefits that are likely to be reflected in measurable outcomes, such as: research productivity, teaching effectiveness, sense of belonging, and growth.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4426", "attributes": { "award_id": "1519339", "title": "IUSE/PFE: RED: Additive Innovation: An Educational Ecosystem of Making and Risk Taking", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "EngEd-Engineering Education" ], "program_reference_codes": [], "program_officials": [ { "id": 15120, "first_name": "Don", "last_name": "Millard", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-07-01", "end_date": "2021-09-30", "award_amount": 1993593, "principal_investigator": { "id": 15125, "first_name": "Ann", "last_name": "McKenna", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 15121, "first_name": "Nadia N", "last_name": "Kellam", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 15122, "first_name": "Jennifer M", "last_name": "Bekki", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 15123, "first_name": "Shawn S", "last_name": "Jordan", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 15124, "first_name": "Samantha R", "last_name": "Brunhaver", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "The Polytechnic School at Arizona State University focuses on the education ecosystem that empowers faculty to be agents of change in the way that they teach engineering courses -- with a special focus on the four year project sequence, the 2nd and 3rd year engineering fundamentals courses, and the upper division concentration area disciplinary courses. The project takes a systems and community building perspective on how to sustain a mindset of risk-taking, making and innovation to instill creative confidence in students and faculty. The project approaches this challenge by attending to the larger ecosystem within which innovation happens, and by using evidence-based methods to make continuous teaching and learning advances within the engineering program. The specific objectives of this project are to:\n\n1. Characterize the ecosystem within the Polytechnic School to establish the foundation for enacting innovation across the faculty, impacting students and other stakeholders.\n2. Realize a mindset of additive innovation in the students and faculty to promote sharing, scaling, sustainability, and propagation of unique understandings within the community.\n3. Establish an understanding of the engineering program culture and dynamics to assess the catalysts and barriers to establishing a culture that is risk seeking.\n4. Identify and implement administrative structures to support cultural change and remove perceived barriers that may inhibit such innovation.\n\nThis project leverages several pedagogical innovations from the project team's prior research. For example, making is integrated into the curriculum; the Lean Launchpad methodology is implemented to characterize the engineering educational ecosystem; and previously tested/refined engineering education research methods are implemented, particularly as it relates to the project team's expertise on faculty development, in order to contribute knowledge on advancing engineering faculty teaching practices. By taking an entrepreneurial approach and using a rapid and iterative process of customer/user/stakeholder discovery, the project captures influencers and potential barriers of the ecosystem that contribute to, or inhibit impact of the proposed work. This research provides guidance for how to establish administrative structures that lead to supporting faculty as change agents, and how embracing a mindset of making and risk-taking can lead to desired professional competencies in engineering students. Characterizing the ecosystem within which change happens serves as a model for other engineering programs that strive to excel in their educational enterprise. The leadership team is disseminating all aspects of this project using an additive innovation philosophy so that others can modify and improve innovations for their own context. The longer-term impacts of creating a culture that values risk taking and making include attracting a new kind of student to the field of engineering. In particular, students who seek out career options in which they can make a positive impact on the world or on their specific community may not have traditionally considered engineering but now may consider it as a career choice. By changing the conversation from having an impact to having the agency to make an impact, the project aims to engender a measurable increase in student interest and persistence.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4515", "attributes": { "award_id": "1518715", "title": "SHF: Large: Collaborative Research: Molecular computing for the real world", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Software & Hardware Foundation" ], "program_reference_codes": [], "program_officials": [ { "id": 15506, "first_name": "Mitra", "last_name": "Basu", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-09-01", "end_date": "2021-08-31", "award_amount": 400000, "principal_investigator": { "id": 15507, "first_name": "Milan", "last_name": "Stojanovic", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 196, "ror": "https://ror.org/00hj8s172", "name": "Columbia University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 196, "ror": "https://ror.org/00hj8s172", "name": "Columbia University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "Molecular computing is a promising computational paradigm in which computational functions are evaluated at the nanoscale, with potential applications in smart molecular diagnostics and therapeutics. A molecular computing system comprises biomolecules, such as DNA strands, which have been designed to detect certain input molecules by binding to them and subsequently to undergo programmed sequences of chemical reactions that serve to compute a logical function based on the observed pattern of input molecules. For example, a molecular system that requires both of its two inputs to be present simultaneously in order to generate an output signal would be referred to as computing a logical \"AND\" function on the two inputs. However, despite recent advances in the field, prospects for direct application of these techniques to solve real-world problems are limited by the lack of robust interfaces between molecular computers and biological and chemical systems. This project will address this limitation by targeting two specific application domains: wide-spectrum chemical sensing and cell surface analysis using molecular logic cascades. The state of the art in molecular computer design, modeling, and implementation will be advanced by an interdisciplinary combination of research by computer scientists, bioengineers, chemists, and computer engineers, and successful completion of the proposed activity will be a significant step towards routine deployment of molecular computers to address real-world problems in chemical and biological sensing.\n\nIn this project, molecular circuit architectures that process sensor inputs from chemical sensors and cell-surface analysis reactions will be designed, modeled, and implemented in the laboratory. This will require specific advances in the isolation of aptamers (DNA sequences that exhibit particular binding affinity to one or more target non-nucleic acid molecules) and in their integration into molecular computing systems. In this context, the aptamer will serve as an interface that allows a rationally-designed DNA-based molecular computing system to use small molecules as input signals. Furthermore, computational modeling and simulation will be used to predict and optimize interactions between DNA aptamers and a range of binding targets, and to choose optimal aptamer combinations to produce cross-reactive multi-sensor arrays capable of discriminating between target ligands by effectively projecting the signal into a multi-dimensional aptamer response space. Furthermore, advanced molecular circuit architectures capable of adaptive, bio-inspired behavior, such as dynamic learning and adaptation, will be designed, with a view to future experimental implementations of these features in large-scale molecular computers. This will include research on highly recurrent, bio-inspired information processing networks to extract meaningful responses from potentially non-specific aptamer-based sensors.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4483", "attributes": { "award_id": "1518681", "title": "Effects of temperature on vector-borne disease transmission: integrating theory with empirical data", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "Ecology of Infectious Diseases" ], "program_reference_codes": [], "program_officials": [ { "id": 15352, "first_name": "Samuel", "last_name": "Scheiner", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-09-01", "end_date": "2021-08-31", "award_amount": 2190450, "principal_investigator": { "id": 15353, "first_name": "Erin", "last_name": "Mordecai", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 266, "ror": "https://ror.org/00f54p054", "name": "Stanford University", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Understanding how temperature affects disease-causing organisms and the mosquitoes that carry them is critical for predicting and responding to future changes in disease risk. Many of the world's most devastating and neglected infectious diseases require mosquitoes and other insects for transmission between people. Malaria kills over 650,000 people each year, mostly children in sub-Saharan Africa, and pathogens like West Nile virus, dengue virus, and chikungunya virus are on the rise in both North America and the tropics. Mosquitoes and the pathogens they carry are sensitive to the environment, so changes in climate, particularly temperature, affect disease risk both in the tropics and in temperate areas. This award supports research to measure the effect of temperature on 13 different pathogens that use mosquitoes and flies for transmission, and the capacity for two common mosquitoes in the Americas to adapt to different temperature conditions. In addition, this work will support STEM education through training in science and math with a focus on under-represented groups, and will contribute publicly available data that can be used by other researchers and public health professionals.\n\nThe goal of this project is to develop a general framework for predicting the temperature sensitivity of vector transmission. This work addresses three main questions: (1) How does vector-borne pathogen transmission respond to temperature? (2) How important is the influence of temperature, relative to other factors, on transmission in the field? (3) Can such transmission adapt to local temperature regimes? The research will develop temperature-sensitive transmission models and fit them with data from the existing literature for 13 vector-borne diseases: vivax malaria, trypanosomiasis, dengue, chikungunya, yellow fever, West Nile, Eastern equine encephalitis, Western equine encephalitis, St. Louis encephalitis, Rift Valley fever, Ockelbo (Sindbis) disease, Ross River fever, and bluetongue. Laboratory experiments will measure local thermal adaptation of Aedes aegypti and Ae. albopictus mosquitoes, which transmit dengue and other viruses, from across their geographic and temperature ranges. In tandem, the research will develop and test theory on how vectors and parasites respond to temperature based on theory from physiological ecology. New local-scale data collected in Ecuador on transmission risk, dengue cases, climate, and other social and economic factors will be used to validate the model predictions. Complementing these local-scale data, the research will develop a global database on field transmission from the existing literature, along with climatic and socioeconomic information. Together, these field data will test the accuracy of the transmission models and assess the relative importance of temperature for transmission at scales from neighborhood to continent.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4514", "attributes": { "award_id": "1518257", "title": "Collaborative Research: The GOGREEN Survey - Caring about the Environment", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "EXTRAGALACTIC ASTRON & COSMOLO" ], "program_reference_codes": [], "program_officials": [ { "id": 15503, "first_name": "Joseph E.", "last_name": "Pesce", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-09-01", "end_date": "2020-08-31", "award_amount": 355291, "principal_investigator": { "id": 15505, "first_name": "Michael", "last_name": "Cooper", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 177, "ror": "", "name": "University of California-Irvine", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 177, "ror": "", "name": "University of California-Irvine", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The team will use ground-based telescopes to study the vast population of \"satellite\" galaxies that live in the suburbs of cities of galaxies called clusters. We know that satellite galaxies can transform themselves from bluish systems rife with brilliant, young stars into reddish systems filled with dull, old stars. But models that attempt explain this remarkable transformation fail dismally. This means that the modellers need much more guidance about factors that govern a galaxy's life in the suburbs. The team will provide that important guidance. The team will also expand existing, successful outreach programs at their institutions. Areas of emphasis include high school students using the new data to conduct inquiry-based research, school teachers adding evidence-based research into their lesson plans, deaf students \"smelling\" and \"touching\" data that have been suitably transformed, and Hispanic students being encouraged to continue on from college to graduate school.\n\nThe aim of the project is to examine the physical processes responsible for quenching the star formation in clusters' satellite galaxies, as distinct from their central galaxies. Models of central-galaxy quenching agree well with observations. In contrast, models of satellite-galaxy quenching strongly violate observations, meaning that such models need better guidance about the processes involved. The team will provide that guidance by obtaining new spectroscopic data for massive groups and clusters at redshifts of 1-1.5 and comparing those data to existing lower-redshift data. These comparisons will be used to analyze the dominant modes of satellite quenching, how galaxies populate dark-matter halos as a function of environment, the relative timing of morphological transformation and star-formation quenching, and the dominant driver of size growth in quenched galaxies. These results will lead to new, better-informed models of satellite-galaxy quenching.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "493", "attributes": { "award_id": "1517719", "title": "Collaborative Research: Modeling Immune Dynamics of RNA Viruses In Reservoir and Nonreservoir Species", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)" ], "program_reference_codes": [], "program_officials": [ { "id": 997, "first_name": "Junping", "last_name": "Wang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-09-15", "end_date": "2020-08-31", "award_amount": 349803, "principal_investigator": { "id": 999, "first_name": "Linda J", "last_name": "Allen", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 270, "ror": "https://ror.org/0405mnx93", "name": "Texas Tech University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 998, "first_name": "Adao", "last_name": "Trindade", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 270, "ror": "https://ror.org/0405mnx93", "name": "Texas Tech University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "Over 50% of all human infectious diseases are zoonotic or originate through the cross-species transmission of viruses from wildlife to humans. Included among these are hantaviruses, which pose a significant threat to public health worldwide and are classified as emerging infectious diseases. Hantaviruses are transmitted to humans through contact with infected rodent excrement. Although hantaviruses cause little morbidity or mortality in their rodent reservoir, they establish a persistent infection that spills over into sympatric or human hosts. Spillover infection in nonreservoir rodents results in an asymptomatic acute infection without any apparent proinflammatory response or disease, whereas spillover in humans results in severe pathology (hantavirus cardiopulmonary syndrome) with mortality reaching 40-50%. Very little is known regarding the differences in the innate/adaptive immune response to hantavirus infection that characterize these three distinct responses: persistence, viral clearance, or severe pathology. The primary goals of this research are to formulate and to test new mathematical models based on carefully designed in vitro experiments for hantavirus infection and to identify key immune components at crucial time points that differentiate between natural versus nonnatural reservoirs (rodents and humans). This knowledge is essential for designing interventions and therapeutics for treatment of hantaviruses and other similar zoonotic viruses for which treatment is not currently available.The in vitro experiments are designed to clearly distinguish the pathways during hantavirus infection in natural reservoir (rodents) versus spillover into nonreservoir hosts (rodents and humans). Three different hantaviruses, endemic in North America, will be used to infect endothelial and immune cells: Sin Nombre virus, Black Creek Canal virus, and Prospect Hill virus in two different types of host cells, deer mice and human. Dependent on the combination of host and hantaviral species, three different outcomes can be observed in either reservoir or nonreservoir hosts: (i) persistence of infection with no disease, (ii) acute infection with viral clearance, and (iii) severe pathology and disease. In the lungs, endothelial cells and macrophages are the primary target cells of hantavirus. Based on the experimental outcomes, deterministic and stochastic mathematical models will be formulated and statistically validated for the dynamics of these and other cells important in the early phase of the immune response. Methods from ordinary and stochastic differential equations, Markov chains and branching processes will be used to model the virus-cell-immune dynamics that includes activation of proinflammatory and anti-inflammatory cytokines. Mathematical and statistical methods will be developed to identify thresholds that determine specific immunological pathways. In the broader context, this research will have educational and scientific impacts through cross-disciplinary training of students and a postdoc in mathematics and biology, through outreach and professional activities, and through development of new mathematical models and statistical methods. The mathematical models, methods, and data will be shared with other scientific groups to investigate questions and hypotheses regarding other zoonotic viruses important to public health such as avian influenza, Hendra, Ebola, and SARS Coronavirus.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4467", "attributes": { "award_id": "1516959", "title": "Research Coordination Network: Protein Folding and Dynamics", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "Molecular Biophysics" ], "program_reference_codes": [], "program_officials": [ { "id": 15289, "first_name": "Wilson", "last_name": "Francisco", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-09-01", "end_date": "2021-08-31", "award_amount": 500000, "principal_investigator": { "id": 15290, "first_name": "C Robert", "last_name": "Matthews", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 613, "ror": "https://ror.org/0464eyp60", "name": "University of Massachusetts Medical School", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 613, "ror": "https://ror.org/0464eyp60", "name": "University of Massachusetts Medical School", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "Title: Research Coordination Network: Protein Folding and Dynamics\n\nThe objective of this Research Coordination Network: Protein Folding Consortium (RCN:PFC) is to provide a novel platform for establishing and nurturing collaborations and training between experimentalists, theorists and computational biologists who are focused on obtaining a molecular-level understanding of the folding and other dynamical processes of proteins. Proteins are ubiquitous in nature, executing biological functions as diverse as populating the immune system with defense agents against viral infections, digesting food, serving as materials to create skin, muscle and hair, converting signals from the environment into cellular responses and replicating DNA. The RCN:PFC will probe the molecular mechanisms by which proteins adopt their unique shapes and the dynamic processes by which those shapes enable their plethora of functions that maintain life. These phenomena are sufficiently complex that a consortium of experts in both experimental and computational methods is required to understand their properties. The consortium also aims to provide a novel and interactive training and mentoring platform for younger scientists in the field. To achieve these objectives, the PFC will support two annual meetings, one with the principal investigators and another with the investigators and their students, and a website. In many ways, the consortium acts as a virtual institute focused on a studying one of the most important and fascinating problems in biology. It is anticipated that accelerated progress towards a deeper understanding of the fundamental principles that govern protein folding reactions and protein dynamics will have a major impact on biochemistry, medicine and the biotechnology industry.\n\nThe goal of this Protein Folding Consortium (PFC) is to transform the way that scientists think about the protein folding problem and protein dynamics by creating a consortium of experimentalists, theorists and computational biologists whose collective efforts exceed the progress attainable by individual labs. Advances in high performance computing combined with novel sampling methods and the application of sophisticated experiments now make it possible for simulations and experiments to study protein folding and dynamics on similar time scales. Simulations generate testable predictions for experiments. Results from experiments can be used to refine simulation methodologies and force fields. This iterative synergistic approach between simulation and experiment, when deployed across proteins of different folds, sizes, complexity and evolutionary profiles, will allow for a coherent and convergent description of the folding process. The expanding ambitions of the PFC encompass folding in vivo, the evolution of biophysical properties, the coupled folding and binding of intrinsically disordered proteins, macromolecular machines and functional dynamics. These new ventures are related, in one way or another, to the folding free energy surface of a protein and its modulation by sequence, history and the environment. This project is jointly funded by the Molecular Biophysics Cluster in the Division of Molecular and Cellular Biosciences in the Directorate for Biological Sciences; the Physics of Living Systems Program in the Division of Physics, and the Chemistry of Life Processes Program in the Division of Chemistry in the Directorate of Mathematical and Physical Sciences.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "492", "attributes": { "award_id": "1516011", "title": "Collaborative Research: Modeling Immune Dynamics of RNA Viruses In Reservoir and Nonreservoir Species", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)" ], "program_reference_codes": [], "program_officials": [ { "id": 994, "first_name": "Junping", "last_name": "Wang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-09-15", "end_date": "2019-08-31", "award_amount": 349879, "principal_investigator": { "id": 996, "first_name": "Michele M", "last_name": "Kosiewicz", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 269, "ror": "", "name": "University of Louisville Research Foundation Inc", "address": "", "city": "", "state": "KY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 995, "first_name": "Colleen", "last_name": "Jonsson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 269, "ror": "", "name": "University of Louisville Research Foundation Inc", "address": "", "city": "", "state": "KY", "zip": "", "country": "United States", "approved": true }, "abstract": "Over 50% of all human infectious diseases are zoonotic or originate through the cross-species transmission of viruses from wildlife to humans. Included among these are hantaviruses, which pose a significant threat to public health worldwide and are classified as emerging infectious diseases. Hantaviruses are transmitted to humans through contact with infected rodent excrement. Although hantaviruses cause little morbidity or mortality in their rodent reservoir, they establish a persistent infection that spills over into sympatric or human hosts. Spillover infection in nonreservoir rodents results in an asymptomatic acute infection without any apparent proinflammatory response or disease, whereas spillover in humans results in severe pathology (hantavirus cardiopulmonary syndrome) with mortality reaching 40-50%. Very little is known regarding the differences in the innate/adaptive immune response to hantavirus infection that characterize these three distinct responses: persistence, viral clearance, or severe pathology. The primary goals of this research are to formulate and to test new mathematical models based on carefully designed in vitro experiments for hantavirus infection and to identify key immune components at crucial time points that differentiate between natural versus nonnatural reservoirs (rodents and humans). This knowledge is essential for designing interventions and therapeutics for treatment of hantaviruses and other similar zoonotic viruses for which treatment is not currently available.The in vitro experiments are designed to clearly distinguish the pathways during hantavirus infection in natural reservoir (rodents) versus spillover into nonreservoir hosts (rodents and humans). Three different hantaviruses, endemic in North America, will be used to infect endothelial and immune cells: Sin Nombre virus, Black Creek Canal virus, and Prospect Hill virus in two different types of host cells, deer mice and human. Dependent on the combination of host and hantaviral species, three different outcomes can be observed in either reservoir or nonreservoir hosts: (i) persistence of infection with no disease, (ii) acute infection with viral clearance, and (iii) severe pathology and disease. In the lungs, endothelial cells and macrophages are the primary target cells of hantavirus. Based on the experimental outcomes, deterministic and stochastic mathematical models will be formulated and statistically validated for the dynamics of these and other cells important in the early phase of the immune response. Methods from ordinary and stochastic differential equations, Markov chains and branching processes will be used to model the virus-cell-immune dynamics that includes activation of proinflammatory and anti-inflammatory cytokines. Mathematical and statistical methods will be developed to identify thresholds that determine specific immunological pathways. In the broader context, this research will have educational and scientific impacts through cross-disciplinary training of students and a postdoc in mathematics and biology, through outreach and professional activities, and through development of new mathematical models and statistical methods. The mathematical models, methods, and data will be shared with other scientific groups to investigate questions and hypotheses regarding other zoonotic viruses important to public health such as avian influenza, Hendra, Ebola, and SARS Coronavirus.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4424", "attributes": { "award_id": "1515414", "title": "EAPSI:The Effects of Restricting and Extending Sleep on Adolescent Cognitive Function", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Office Of The Director", "EAPSI" ], "program_reference_codes": [], "program_officials": [ { "id": 15105, "first_name": "Anne", "last_name": "Emig", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-06-01", "end_date": "2016-05-31", "award_amount": 5070, "principal_investigator": { "id": 15106, "first_name": "Kelly", "last_name": "Bennion", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1280, "ror": "", "name": "Bennion Kelly A", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1280, "ror": "", "name": "Bennion Kelly A", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "Although it has long been known that sleep is critical for healthy functioning, chronic sleep restriction (as defined by less than 7 hours of nightly sleep) is a worldwide public health concern. This is particularly important for adolescents, who experience increased daytime sleepiness in response to puberty and a phase delay in circadian rhythms. The proposed study involves a two-week protocol investigating the effects of sleep restriction (5 hours) and sleep extension (9 hours) on sleepiness levels, mood, vigilance, executive function, immediate and long-term memory, and false memory, in 15-19 year-old females at the Nanyang Girls Boarding School in Singapore. Understanding how sleep restriction affects memory performance and cognitive function is important for students and educators everywhere, and is especially critical in Singapore, where chronic short sleep among adolescents is especially prevalent. As such, this project will be conducted under the mentorship of Dr. Michael Chee, an expert in the cognitive neuroscience of sleep, at the Duke-National University of Singapore Graduate Medical School.\n\nDuring the first three nights, participants will have a 9-hour baseline sleep opportunity. During the following seven nights, participants will be randomized into a sleep restriction (5 hours) or sleep extension (9 hours) condition, during which their nocturnal sleep will be monitored by polysomnography on three nights. Relative to baseline performance, sleep restriction is expected to result in greater self-reported sleepiness, poorer cognitive and scholastic performance, negative mood, and an increased tendency toward risky behavior. Regarding memory in particular, it is hypothesized that participants in the sleep restriction group relative to the sleep extension group will show deficits in long-term memory and an increase in susceptibility to false memory. This project will not only elucidate the effects of sleep on adolescents? cognitive function, but also raise awareness of sleep restriction as a global public health concern. This NSF EAPSI award is funded in collaboration with the National Research Foundation of Singapore.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4469", "attributes": { "award_id": "1513644", "title": "Next-generation random graph models", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "STATISTICS" ], "program_reference_codes": [], "program_officials": [ { "id": 15297, "first_name": "Gabor", "last_name": "Szekely", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2015-08-01", "end_date": "2019-01-31", "award_amount": 200001, "principal_investigator": { "id": 15298, "first_name": "Michael", "last_name": "Schweinberger", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 357, "ror": "", "name": "William Marsh Rice University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "Networks are ubiquitous in the modern world, with social networks and the World Wide Web as well-known examples. Understanding the structure of networks is critical to understanding real-world phenomena, making predictions, and helping inform decisions on, for example, strategies to disrupt and dismantle terrorist networks, curb the spread of infectious diseases, and reduce systematic risk in financial markets. To help understand and predict such phenomena in the face of uncertainty, professionals need statistical models which are both complex and scalable (i.e., models which are capable of modeling a wide range of network characteristics and which can be applied to large networks). Existing models are either scalable but simplistic or complex but not scalable. This research project will develop the first generation of models which are both complex and scalable. The developed models and methods will have applications in a wide range of areas, including national security (e.g., insurgencies, terrorism), public health (e.g., the spread of infectious diseases), and finance (e.g., systematic risk in financial markets).\n\nThis research project will develop the next generation of random graph models which are both complex and scalable by merging the two most important streams of statistical network analysis, stochastic block models and exponential-family random graph models, with a view to reducing the disadvantages of each while retaining the advantages of both. Stochastic block models are scalable but simplistic, whereas exponential-family random graph models are complex but not scalable. The next-generation models studied here bridge the gap between complexity and scalability and are both complex and scalable. In addition to elaborating next-generation models, this research will address the unique computational and theoretical challenges raised by next-generation models. The computational challenge of estimating next-generation models will be addressed by taking advantage of model structure, including local dependence and local convexity properties, and by exploiting massive-scale minorization-maximization methods which break down the high-dimensional optimization problem into low-dimensional ones that can solved in parallel. The theoretical challenge of studying the properties of estimators will be addressed by exploiting novel concentration of measure inequalities. The concentration of measure inequalities will take into account the dependence inherent in networks as well as the lack of smoothness of estimators.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 1385, "pages": 1424, "count": 14236 } } }