Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1406&sort=-approved
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-approved", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=-approved", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1407&sort=-approved", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1405&sort=-approved" }, "data": [ { "type": "Grant", "id": "12490", "attributes": { "award_id": "2327815", "title": "Collaborative Research: IHBEM: Three-way coupling of water, behavior, and disease in the dynamics of mosquito-borne disease systems", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "MATHEMATICAL BIOLOGY" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-09-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28427, "first_name": "Alun", "last_name": "Lloyd", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 245, "ror": "https://ror.org/04tj63d06", "name": "North Carolina State University", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "Complex behavioral responses to information from public health officials, social media, and elsewhere during the COVID-19 pandemic laid bare the limitations of the simplistic assumptions that epidemiological models have traditionally made about human behavior. The investigators of this project hypothesize that human behavior may also play a key role in why diseases transmitted by Aedes mosquitoes, such as dengue and Zika, have been so difficult to control. Aedes mosquitoes lay eggs in household water storage containers, meaning that behaviors related to water storage, water consumption, and water container management impact mosquito populations and, thereby, diseases transmitted by these mosquitoes. The central objective of this project is to understand how humans make decisions about preventive actions against Aedes-borne diseases and how those actions in turn affect disease dynamics and subsequent individual-level decision-making. The project will focus on the city of Ibagué, Colombia, where public health officials have long used behavioral approaches to intervene against Aedes-borne diseases. Empirical social science research will investigate how individuals respond to these interventions and characterize differences among individuals in their responses. Mathematical modeling research will estimate the effectiveness of these interventions at the population level. Throughout the project, a close connection with community members and local public health officials will be cultivated to ensure the effective translation of project outcomes. Training and capacity building activities will extend the impacts of the project to settings beyond Ibagué.This project aims to develop a mechanistic understanding of the role of behavior in infectious disease dynamics and mathematical modeling tools that are capable of accounting for those mechanisms, with the ultimate goal of enabling more effective use of public health interventions. The project will be grounded in empirical social science research in Ibagué, a city in Colombia with one of the highest urbanization rates and Aedes-borne disease transmission rates in the country. A combination of observational and experimental approaches will be used to characterize heterogeneity in the adoption of mosquito prevention behaviors in and around the home and to understand the cues that drive the adoption, or neglect, of those behaviors. These empirical findings will be used to develop a mathematical model of individual decision-making around the use of mosquito prevention behaviors in response to individual-level behavioral dispositions that change over time as cues arise and subside. This decision-making model will then be incorporated into an agent-based model of Aedes-borne disease transmission that will be used to infer the effectiveness of behavioral interventions that public health officials use to control Aedes-borne diseases in Ibagué. Finally, a suite of simpler macroscopic models will be developed and assessed with respect to their ability to capture effects of behavioral interventions on epidemiological dynamics simulated with the agent-based model. The ultimate outcome of the project will be the development and validation of minimally complex mathematical models that are capable of predicting responses of epidemiological dynamics to behavioral interventions.This project is jointly funded by the Division of Mathematical Sciences (DMS) in the Directorate of Mathematical and Physical Sciences (MPS), the Established Program to Stimulate Competitive Research (EPSCoR), and the Division of Social and Economic Sciences (SES) in the Directorate of Social, Behavioral and Economic Sciences (SBE).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": "12491", "attributes": { "award_id": "2338266", "title": "Conference: Gateways 2023", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Computer and Information Science and Engineering (CISE)", "Software Institutes" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-09-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 13923, "first_name": "Sandra", "last_name": "Gesing", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 163, "ror": "https://ror.org/02mpq6x41", "name": "University of Illinois at Chicago", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "Science gateways are a key part of NSF funded Cyberinfrastructure, and they are used by hundreds of thousands of researchers and students, supporting both publication-quality science and at-scale education. Science gateways involve a comprehensive set of research domains that has a broad impact on society, addressing considerable challenges such as pandemics, climate change, global sustainability on food, water, and land use driven by the growing population, rising per capita incomes, to name a few. In recognition of their importance, NSF has funded the Science Gateways Community Institute (SGCI) and more recently the SGX3 Science Gateways Center of Excellence to provide leadership for the science gateways community. The Gateways conference series is one of the of flagships of SGCI and SGX3 and the major event in the US to bring the science gateways community together. The conference series has existed since 2016 and has attracted each year between 100-170 participants. This year it has moved from an SGCI-organized conference to a community-driven conference with the first time the general chair being selected by a newly established advisory board for the conference and who is not part of the SGCI/SGX3 team. The goal is to attract additional research domains and tap into the chair's networks that are not already in contact with SGCI/SGX3. SGX3 continues to guide the conference. Gateways 2023 features different program formats such as keynotes, presentations, tutorials, demos, posters and this year the first time Bring Your Own Portal. Accepted submissions are published in open-access proceedings and accepted papers are invited to a special issue in a journal. SGCI/SGX3 has an impressive record of underrepresented minority involvement within the science gateway community. The travel grant allows to involve more students at Gateways 2023 and they are selected under consideration of diversity, equity and inclusion.Gateways 2023 is the major event for the science gateway community in the US to discuss challenges and solutions in the area, to identify new issues, to shape future directions for research, foster the exchange of ideas, standards and common requirements and push towards the wider adoption of science gateways. The topics covered by the Gateways conference series range from technical topics to use cases to related content such as usability or sustainability of science gateways. The knowledge transfer can be transformative between different research domains and technical content. The building blocks of science gateway frameworks are re-usable in diverse research areas evident in widely used frameworks such as Hubzero and Tapis. The Gateways conference series sets the stage for learning, engaging and empowering the different stakeholders in the community who are science gateway users, developers and providers as well as funders and decision makers. Providing travel grants for students allows to include a diverse audience and support underrepresented minorities.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": "12492", "attributes": { "award_id": "2318300", "title": "Collaborative Research: HSI Implementation and Evaluation Project: Developing a Wastewater-based Epidemiology Student Training and Education Program at CUNY", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Directorate for STEM Education (EDU)", "HSI-Hispanic Serving Instituti" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-09-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 27558, "first_name": "John", "last_name": "Dennehy", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 722, "ror": "", "name": "CUNY Queens College", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "With support from the Improving Undergraduate STEM Education: Hispanic-Serving Institutions (HSI Program), this Track 2 project aims to establish a wastewater-based epidemiology training program at The City University of New York to respond to declining minority student retention and graduation rates in STEM. These declines hamper workforce development in industries clamoring for STEM talent and ultimately U.S. competitiveness in emerging technologies. The project will train students with wastewater-based epidemiology technologies and competencies, preparing the next generation of workers to face challenges posed by emerging infectious diseases. It is hypothesized that inspiring community college students with career prospects in an emerging technology, such as wastewater-based epidemiology, and providing academic, research, and social mentoring from role models that they can identify with will improve student retention, graduation rates, and career success. The program will generate interest in wastewater-based epidemiology as a career option, thus enhancing US pandemic preparedness. The program will also have ripple effects in different areas of society, such as water management, healthcare, public recreation and health, regulatory policy, science education, and economic mobility for graduates of the program and their families. By participating in the training program, students will be well-positioned for high-paying jobs in the public and private sectors or for graduate school.The specific aims of the project are: Aim 1- Advance the effectiveness of STEM education and workforce development programs, activities, and outreach through evaluation and assessment; Aim 2- Attract and train the Nation’s future STEM workforce through multiple pathways to educational and career opportunities; Aim 3- Increase participation of underserved and underrepresented groups in STEM education and workforce development programs, activities, and outreach; and Aim 4- Inspire community engagement in STEM education programs and activities to provide meaningful wastewater-based epidemiology learning opportunities for students and educators. The evaluation will include the use of surveys, interviews, observations, and career tracking to determine the impact of the program on students. The combination of pedagogical activities and hands-on experiential education, including internships and job training, will provide students with opportunities to commence STEM careers following graduation. The results of our work will be disseminated through publications, conference presentations, and through CUNY internal networks. The HSI Program aims to enhance undergraduate STEM education and build capacity at HSIs. Projects supported by the HSI Program will also generate new knowledge on how to achieve these aims.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": "12493", "attributes": { "award_id": "2327817", "title": "Collaborative Research: IHBEM: Three-way coupling of water, behavior, and disease in the dynamics of mosquito-borne disease systems", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "MSPA-INTERDISCIPLINARY" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-09-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 5291, "first_name": "Hayriye", "last_name": "Gulbudak", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 707, "ror": "https://ror.org/01x8rc503", "name": "University of Louisiana at Lafayette", "address": "", "city": "", "state": "LA", "zip": "", "country": "United States", "approved": true }, "abstract": "Complex behavioral responses to information from public health officials, social media, and elsewhere during the COVID-19 pandemic laid bare the limitations of the simplistic assumptions that epidemiological models have traditionally made about human behavior. The investigators of this project hypothesize that human behavior may also play a key role in why diseases transmitted by Aedes mosquitoes, such as dengue and Zika, have been so difficult to control. Aedes mosquitoes lay eggs in household water storage containers, meaning that behaviors related to water storage, water consumption, and water container management impact mosquito populations and, thereby, diseases transmitted by these mosquitoes. The central objective of this project is to understand how humans make decisions about preventive actions against Aedes-borne diseases and how those actions in turn affect disease dynamics and subsequent individual-level decision-making. The project will focus on the city of Ibagué, Colombia, where public health officials have long used behavioral approaches to intervene against Aedes-borne diseases. Empirical social science research will investigate how individuals respond to these interventions and characterize differences among individuals in their responses. Mathematical modeling research will estimate the effectiveness of these interventions at the population level. Throughout the project, a close connection with community members and local public health officials will be cultivated to ensure the effective translation of project outcomes. Training and capacity building activities will extend the impacts of the project to settings beyond Ibagué.This project aims to develop a mechanistic understanding of the role of behavior in infectious disease dynamics and mathematical modeling tools that are capable of accounting for those mechanisms, with the ultimate goal of enabling more effective use of public health interventions. The project will be grounded in empirical social science research in Ibagué, a city in Colombia with one of the highest urbanization rates and Aedes-borne disease transmission rates in the country. A combination of observational and experimental approaches will be used to characterize heterogeneity in the adoption of mosquito prevention behaviors in and around the home and to understand the cues that drive the adoption, or neglect, of those behaviors. These empirical findings will be used to develop a mathematical model of individual decision-making around the use of mosquito prevention behaviors in response to individual-level behavioral dispositions that change over time as cues arise and subside. This decision-making model will then be incorporated into an agent-based model of Aedes-borne disease transmission that will be used to infer the effectiveness of behavioral interventions that public health officials use to control Aedes-borne diseases in Ibagué. Finally, a suite of simpler macroscopic models will be developed and assessed with respect to their ability to capture effects of behavioral interventions on epidemiological dynamics simulated with the agent-based model. The ultimate outcome of the project will be the development and validation of minimally complex mathematical models that are capable of predicting responses of epidemiological dynamics to behavioral interventions.This project is jointly funded by the Division of Mathematical Sciences (DMS) in the Directorate of Mathematical and Physical Sciences (MPS), the Established Program to Stimulate Competitive Research (EPSCoR), and the Division of Social and Economic Sciences (SES) in the Directorate of Social, Behavioral and Economic Sciences (SBE).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": "12494", "attributes": { "award_id": "2315534", "title": "Collaborative Research: The Economics of Port Infrastructure", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "Economics" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-09-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28428, "first_name": "Giulia", "last_name": "Brancaccio", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 167, "ror": "https://ror.org/0190ak572", "name": "New York University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "This award funds a project in the economics of transportation infrastructure that focuses on the role of shipping ports in international trade. Such infrastructure is crucial for the smooth functioning of international trade. Because more than 80% of traded goods (amounting to 11 billion tons and about $20 trillion) are carried by ships, shipping ports are the literal gateway to international trade. The advent of global sourcing, whereby firms source their inputs from further away suppliers, as well as just-in-production, whereby firms expect their inputs to arrive at the moment they need them, has made ports even more pivotal in recent decades. This became painfully apparent during the “Great Supply Chain Disruptions” induced by the Covid-19 pandemic, which upended supply chains, and generated enormous costs to importers and exporters worldwide, who faced massive delays in obtaining their goods. In this uncertain environment, what are the returns to investing in transportation infrastructure? And how should funding be coordinated and spent? What are the drivers of port performance and why are ports so prone to disruption? This project seeks to provide an answer to these questions, by combining a collection of novel data sets on ports, with a state-of-the-art modeling framework for port technology and demand for port services. The results of this project will be useful for making policy decisions about infrastructure investments, including both where ports should be located, what kinds of investment has the highest returns, and whether or not these decisions should be decentralized. The researchers construct a unique database on global ports that relies on data collected by private providers, as well as their own data collecting efforts. The data includes satellite vessel position data, detailed port charges, as well as union membership. They create a dataset on port infrastructure by manually collecting historical satellite images of world ports from Google Earth. In order to evaluate the role of transportation infrastructure one needs the following ingredients: infrastructure technology to understand both the dynamics of congestion, as well as how investment in infrastructure affects congestion; and a demand system for transportation services. This is necessary both because demand endogenously responds to infrastructure improvements, but also in order to quantify their welfare gains. Using insights from queueing theory, the researchers construct and estimate a micro-model of port technology that takes port inputs, such as infrastructure, labor, cranes, and productivity, and produces output, namely time at port. That setup endogenously generates convex costs of congestion. The researchers then estimate a demand system for port services: potential exporters/importers decide which port to use and obtain utility from lower time at port, shorter distance to their origin and destination, lower port prices, as well as other characteristics of the port. The researchers combine their estimates of technology with their estimates for port demand to estimate the returns to port infrastructure investment. The research advances knowledge by shedding light on how ports operate and how they contributed to the Great Supply Chain Disruption. It takes a deep look into port technology and shows that it renders ports inherently disruptive. This also illustrates the role of uncertainty and the impact of different inputs on resilience.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": "12495", "attributes": { "award_id": "2318206", "title": "Collaborative Research: HNDS-I: Cyberinfrastructure for Human Dynamics and Resilience Research", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "Human Networks & Data Sci Infr" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-09-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28429, "first_name": "Heng", "last_name": "Cai", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 342, "ror": "https://ror.org/01f5ytq51", "name": "Texas A&M University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "Disaster resilience research is concerned with learning how people prepare for and deal with damage to their communities because of events such as floods, fires, pandemics, and other existential threats. The concepts of risk, vulnerability and sustainability are very important because of the impact they have on individuals’ lives and well-being. However, advancing science-based resilience research is hard because the data that are used to measure disaster resilience come from many different sources and are difficult to merge. Even for available data there are few tools available to analyze them, especially for researchers who do not have extensive quantitative training. This project overcomes these difficulties by developing a national cyberinfrastructure called the Human Dynamics and Resilience infrastructure that contains large-scale data and analytic tools to support and advance human dynamics and resilience research. Knowledge gained from visualizing and analyzing the data using the infrastructure can better inform policies to increase community resilience. The project accomplishes four objectives. First, it develops four new databases containing integrated data from around the nation, including social media and cell-phone mobility data. Second, it constructs visualization and analytical tools, such as maps, statistics, and dynamic modeling and simulations to facilitate both exploratory and in-depth research. Third, it implements a training and feedback module to help engage researchers, practitioners, and the public to explore and conduct analyses that should lead to a better understanding of resilience. Finally, it includes three case studies that demonstrate how the infrastructure can lead to new knowledge about the relationship between human mobility and resilience. The project is a collaboration of multidisciplinary investigators from four universities, including Louisiana State University, University of South Florida, Texas A&M University, and Saint Louis University.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": "12496", "attributes": { "award_id": "2318205", "title": "Collaborative Research: HNDS-I: Cyberinfrastructure for Human Dynamics and Resilience Research", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "Human Networks & Data Sci Infr" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-09-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28430, "first_name": "Kenan", "last_name": "Li", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 734, "ror": "https://ror.org/01p7jjy08", "name": "Saint Louis University", "address": "", "city": "", "state": "MO", "zip": "", "country": "United States", "approved": true }, "abstract": "Disaster resilience research is concerned with learning how people prepare for and deal with damage to their communities because of events such as floods, fires, pandemics, and other existential threats. The concepts of risk, vulnerability and sustainability are very important because of the impact they have on individuals’ lives and well-being. However, advancing science-based resilience research is hard because the data that are used to measure disaster resilience come from many different sources and are difficult to merge. Even for available data there are few tools available to analyze them, especially for researchers who do not have extensive quantitative training. This project overcomes these difficulties by developing a national cyberinfrastructure called the Human Dynamics and Resilience infrastructure that contains large-scale data and analytic tools to support and advance human dynamics and resilience research. Knowledge gained from visualizing and analyzing the data using the infrastructure can better inform policies to increase community resilience. The project accomplishes four objectives. First, it develops four new databases containing integrated data from around the nation, including social media and cell-phone mobility data. Second, it constructs visualization and analytical tools, such as maps, statistics, and dynamic modeling and simulations to facilitate both exploratory and in-depth research. Third, it implements a training and feedback module to help engage researchers, practitioners, and the public to explore and conduct analyses that should lead to a better understanding of resilience. Finally, it includes three case studies that demonstrate how the infrastructure can lead to new knowledge about the relationship between human mobility and resilience. The project is a collaboration of multidisciplinary investigators from four universities, including Louisiana State University, University of South Florida, Texas A&M University, and Saint Louis University.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": "12497", "attributes": { "award_id": "2336743", "title": "Conference: Recent advances in the mechanistic understanding of avian responses to environmental challenges", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)", "ORCC-Organism Resp Clim Change" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-09-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28431, "first_name": "Alexander", "last_name": "Gerson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 200, "ror": "https://ror.org/0072zz521", "name": "University of Massachusetts Amherst", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "This conference award supports participants in a symposium and associated poster session on understanding avian responses to environmental challenges, at the annual meeting of the Society for Integrative and Comparative Biology (SICB) in January 2024. Birds inhabit some of the most variable and extreme environments on the planet, and recent advances in the lab and field have led to discoveries about the mechanisms that enable birds to overcome physiological challenges of all kinds, including extreme long-distance flight, heat and cold, osmotic challenges, low oxygen, and immune challenges. The symposium will advance the collective understanding of the physiological strategies that birds use to survive in challenging environments, and to promote discussion among the participants in an attempt to establish new and strengthen existing connections, find common themes, and discuss future directions in the field. By bringing together physiologists with disparate expertise from various career stages and backgrounds, including undergraduate and graduate students in the poster session, common themes will be identified and new approaches that promote future innovation and collaborations will be discussed. Participants will prepare a synthetic, forward-looking paper to be published in the SICB journal, Integrative and Comparative Biology. The individual symposium presentations will also be published and disseminated in the same journal issue.Birds are among the most widely distributed endotherms on the planet, living in many types of inhospitable environments. In the face of environmental challenges, the basic principles that allow for survival can be similar among species, even in response to very different challenges. However, the underlying mechanisms, suite of physiological responses, and selection on those traits differ significantly, and their influence and impact from an ecological or evolutionary perspective can vary as well. It is the goal of the supported symposium to highlight physiological mechanisms underlying avian responses to environmental challenges and to facilitate the synthesis of new discoveries with established findings in order to provide an informed understanding of the current state of the art in the field, to highlight new tools, and to identify future research opportunities and collaborations. Furthermore, one of the many enduring impacts of the COVID-19 pandemic is that early-career researchers have not had as many opportunities to network, develop professional relationships, or present their research in a way that maximizes exposure to the research community. Therefore, the symposium specifically highlights the excellent research being conducted by early-career scientists, with an emphasis on promoting women in science. The symposium also includes a number of more senior avian researchers to develop and broaden mentoring networks among the speakers. In addition, the participation of five or more undergraduate and graduate students in a complementary poster session will provide current students the opportunity to build important professional relationships.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": "12498", "attributes": { "award_id": "2326096", "title": "INvestigating Home water and Aerosols' Links to opportunistic pathogen Exposure (INHALE): do consumer decisions impact pathogen exposure and virulence?", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "EnvE-Environmental Engineering" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-09-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28432, "first_name": "Sarah", "last_name": "Haig", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 272, "ror": "https://ror.org/01an3r305", "name": "University of Pittsburgh", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true }, "abstract": "As people take showers, they are exposed to billions of bacterial cells through contact with the water and inhalation of produced aerosols. While many of these organisms are harmless, some drinking water-associated pathogens (DWPIs) are a leading cause of serious health risks, especially for individuals with weakened immune systems. Today, the showerhead market in the United States features a wide range of options which leave consumers to select the type of spray pattern, material, flow rate, and additives (e.g., bacterial killing chemicals) that they want to have in their shower systems. However, we have a limited fundamental understanding of how consumer choices of showerheads directly influence the presence and amounts of DWPIs in shower water and shower water produced aerosols. The overarching goal of this project is to address this knowledge gap. To advance this goal, the Principal Investigators (PIs) will test showerheads with different spray patterns, water flow rates, and additives in an experimental shower lab with the goal of measuring and comparing the concentrations of DWPIs present in shower water and shower water produced aerosols. The successful completion of this project will benefit society through the generation of new data and fundamental knowledge that could enable consumers to select showerheads that prioritize their health while enhancing the fundamental understanding of the aerosolization of DWPIs in shower systems and the built environment. Additional benefits to society will be achieved through student education and training including the mentoring of one graduate student and one undergraduate student at the University of Pittsburgh. Pulmonary infections from drinking water-associated pathogens predominantly causing infections in immunocompromised individuals (DWPI) are a leading cause of morbidity and mortality in the United States. Although there are many DWPIs, Legionella pneumophila, nontuberculous mycobacteria (NTM) and Pseudomonas aeruginosa are estimated to cost the United States economy $2.39 billion annually. Although DWPI exposure can occur through a variety of pathways, inhalation of water associated aerosols are most associated with infection. Aerosolization, a critical step in the transmission pathway of DWPIs, remains poorly understood. Specifically, little is known about how consumer showerhead choices (spray pattern, flow rate, and material additives) influence DWPI virulence and partitioning from the water to aerosol phase. The long-term goals of this study are to quantitively assess the DWPI exposure risk posed by aerosols produced by different showerhead setups and ascertain if different setups select for greater DWPI exposure and more virulent DWPIs. This goal will be achieved through two research objectives. Objective 1 will test a range of different showerhead setups in an experimental shower lab and quantify the abundance of live L. pneumophila, P. aeruginosa, and NTM in shower water and its associated aerosols using ddPCR and develop shower water to aerosol partitioning models for each DWPI and showerhead. Objective 2 will use a combination of genomic, kinetic, biofilm aggregation, and macrophage infectivity assays to investigate the role that showerhead setup has on organism fitness and virulence. The successful completion of this research has the potential for transformative impact through the generation of new data and fundamental knowledge including mechanistic models of exposure and risk to human health related to the presence of DWPIs in shower water and shower water produced aerosols. To implement the education and training goals of the project, the PIs propose to leverage existing programs at the University of Pittsburgh (U Pitt) Swanson School of Engineering such as the EXCEL program to recruit and mentor undergraduate students from underrepresented groups to work on the project. In addition, the PIs plan to integrate the project research findings into relevant undergraduate and graduate courses at U Pitt.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": "12499", "attributes": { "award_id": "2307371", "title": "OMAyA - a 1mm wavelength focal-plane array receiver for the Large Millimeter Telescope", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "ADVANCED TECHNOLOGIES & INSTRM" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-08-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28433, "first_name": "Frederic", "last_name": "Schloerb", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 200, "ror": "https://ror.org/0072zz521", "name": "University of Massachusetts Amherst", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "New stars are formed in enormous regions of cold gas and dust called giant molecular clouds. The properties of such regions can be studied using radio spectroscopic observations. These gas clouds contain many atomic species and simple molecules that produce spectral lines in this wavelength range. Spectroscopic observations not only reveal the physical and chemical properties of star-forming regions but can also measure the complex gas motions. This project will complete the construction of a sensitive multi-pixel receiver system called OMAyA (One Millimeter-wave Array for Astronomy), which will be installed and commissioned on the 50-meter diameter Large Millimeter Telescope (LMT) in Mexico. The additional advantage of a low atmospheric loss provided by the high mountain-top location will enable sensitive scientific observations of distant galaxies, clouds in our own galaxy and comet flybys in the solar system. The receiver will be available to all LMT observers, and 15% of the LMT observing time is freely accessible to any US–based astronomer. This project will complete the construction, installation, and commissioning of OMAyA, a powerful heterodyne focal-plane array receiver system that is designed to operate in the 210 – 280 GHz (~1mm wavelength) atmospheric window. OMAyA will have 8 pixels, each capable of simultaneously measuring 2 spectral lines in 2 polarizations, thus generating 32 distinct spectra with one pointing. Each pixel of OMAyA features a novel mixer block with a high level of integration and is equipped with the ability to detect two orthogonal polarizations, and contains sideband-separation super-conducting mixers. The design and construction of a significant portion of the OMAyA receiver has been completed. In this project, the receiver will be finished and installed on the LMT. As a purely technical advance, this project will implement a high level of integration of mixer, amplifier, local oscillator injection components in an innovative dual-polarized sideband separation system that will be used throughout the field of heterodyne focal-plane arrays. As a facility instrument on the LMT available for American and Mexican astronomers, OMAyA will enable exciting new scientific observing programs.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": 1406, "pages": 1424, "count": 14236 } } }