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This Funding Opportunity Announcement (FOA) encourages applications to develop valid markers to assess the activity of fundamental aging mechanisms in humans that may influence the risk and progression of multiple aging conditions. Projects are encouraged that focus on selected mechanism(s) that may regulate aging changes, assess multiple possible markers for these mechanisms, test methods to improve their measurement properties, characterize their variability among individuals of differing ages and within the same age cohort, and assess their relationships in humans to in vivo functions influenced by the mechanism(s) under study. It is strongly encouraged that each project includes an interdisciplinary research team with expertise, as needed, in the biology of their selected mechanism(s), biomedical aging research, clinical pathology including laboratory assays, imaging methods, human cohort studies, tissue banking, biorepository resources, and statistics. Though the principal focus of the initiative is on development of markers in humans, studies in laboratory animals may also be conducted when necessary for the development of human markers, and potential development of parallel laboratory animal markers of a given mechanism.

The first Health and Human Performance Research (HHPR) Summit is upcoming April 28-30, 2015 in Dayton, Ohio. We are on target to have more than 200 attendees, 75+ posters, and 12 breakout sessions discussing the topics of the summit. More than 75 participants from Federal Research labs will be presenting and participating in the event and it is a great opportunity for our Ohio Academic Institutions to create relationships and understand the objectives of these researchers. As such, we have an interest in ensuring Ohio universities and research institutions are represented in this event to increase the funding which is attracted to our State. We would like to extend an invitation to your institution to participate in the Summit through poster presentations and/or attending the Summit. Designed to provide networking opportunities for researchers and industry to connect through a focus on exploring commercializing opportunities in Science and Technology within the health and human performance domain; the HHPR Summit is also intended to further develop the research relationships with the Air Force Research Laboratory (AFRL) and support the commercialization within Ohio. It is important to us as we look to the strategies we are undertaking as a state to ensure the major universities and research institutions have an opportunity to play a major role in this relationship. Details of the Summit follows: The HHPR Summit is an international meeting supporting human systems research held at the Dayton Convention Center in Dayton, Ohio April 28-30, 2015 with the objective of linking defense and academic research to the commercial domains. The Summit is a forum to generate research knowledge and ideas, recruit and retain key organizations and researchers in the human systems domain, and link research to entrepreneurial outcomes, and diffuse information.

The purpose of the Mentored Quantitative Research Career Development Award (K25) is to attract to NIH-relevant research those investigators whose quantitative science and engineering research has thus far not been focused primarily on questions of health and disease. The K25 award will provide support and "protected time" for a period of supervised study and research for productive professionals with quantitative (e.g., mathematics, statistics, economics, computer science, imaging science, informatics, physics, chemistry) and engineering backgrounds to integrate their expertise with NIH-relevant research. This Funding Opportunity Announcement (FOA) is designed specifically for applicants proposing to lead basic science experimental studies involving humans, referred to in NOT-OD-18-212 as prospective basic science studies involving human participants. These studies fall within the NIH definition of a clinical trial and also meet the definition of basic research. Types of studies that should submit under this FOA include studies that prospectively assign human participants to conditions (i.e., experimentally manipulate independent variables) and that assess biomedical or behavioral outcomes in humans for the purpose of understanding the fundamental aspects of phenomena without specific application towards processes or products in mind. Studies conducted with specific applications toward processes or products in mind should submit under the companion PA-18-395.

ABC Wildlife humanely manages urban wildlife and insects in the interest of human health and safety from an environmental sustainability perspective with a love of nature and a deep respect for all living things. ABC Wildlife has offered humane wildlife removal services to the Chicagoland area for over 35 years.  As a woman-owned corporation operating in a largely male field, ABC Wildlife understands the remarkable impact women can have when allowed to break through. We want to pave the way for other women pursuing their dreams in the scientific world, which is why ABC Wildlife is introducing a scholarship designed to increase the number of women studying and influencing the future of science, including technology, engineering and math.

Miami faculty should notify Associate Provost Jim Oris of their interest in the following RFP. ---------- CGS invites doctoral-granting member institutions to apply to participate in Understanding PhD Career Pathways for Program Improvement, a multi-institution effort to collect and use data on PhD career pathways, funded by The Andrew W. Mellon Foundation and the National Science Foundation (NSF #1661272). This is an important opportunity to deepen your institution's understanding of the career goals and outcomes of its PhDs; communicate your support for the career diversity of PhDs; make evidence-based interventions that support the success of PhDs and the recruitment of future students; and access anonymized benchmarking data compiled from other project partners.   Awards: Option 1: Humanities Only. Provides awards of $30,000 each to support implementation of surveys of humanities PhD students and alumni over a period of twenty-four months. Supported by the Andrew W. Mellon Foundation; 15 awards available. Please indicate in your proposal why a humanities-only project aligns with your institutional mission.   Option 2: STEM Only. Provides awards of $50,000 to each to support implementation of surveys of STEM PhD students and alumni over a period of thirty-six months. Supported by the National Science Foundation; 15 awards available. Please indicate in your proposal why a STEM-only project aligns with your institutional mission.   Option 3: Combined Proposal. If an institution meets the eligibility requirements for both the Humanities and STEM awards, CGS strongly encourages the submission of a combined proposal. Institutions selected to participate in this category will receive a total award amount of $80,000.

The NIEHS is establishing an infrastructure, the Human Health Exposure Analysis Resource (HHEAR) as a continuation of the Children's Health Exposure Analysis Resource (CHEAR). The goal of this consortium is to provide the research community access to laboratory and statistical analyses to add or expand the inclusion of environmental exposures in their research and to make that data publicly available as a means to improve our knowledge of the comprehensive effects of environmental exposures on human health throughout the life course. This FOA solicits Laboratories (Lab Hubs) providing a comprehensive suite of analysis of environmental exposures in samples such as dust, soil, and drinking water related to the immediate environment of individuals and linked to health endpoints. Each Hub will incorporate a developmental core to develop novel measures for environmental samples, expanding the number of current, commonly measured analytes, and developing new methods for detecting analytes in other environmental samples and providing additional insight into the sources of exposures that influence human health. The Environmental Monitoring Lab will also serve as a 'clearinghouse for evaluation and provision of emerging tools and technologies for personal exposure assessment to the client community.

The NIEHS and partnering Institutes and Centers are establishing an infrastructure, the Human Health Exposure Analysis Resource (HHEAR) as a continuation of the Children's Health Exposure Analysis Resource (CHEAR). The goal of this consortium is to provide the research community access to laboratory and statistical analyses to add or expand the inclusion of environmental exposures in their research and to make that data publicly available as a means to improve our knowledge of the comprehensive effects of environmental exposures on human health throughout the life course. This FOA solicits Laboratories (Lab Hubs) that can provide comprehensive measurement of the exposome using untargeted approaches (such as metabolomics using libraries enriched for environmental exposure biomarkers) for biological samples derived from extant or ongoing human health studies in the NIH extramural research community. Each Hub will incorporate an administrative core and a developmental core to improve the ability of untargeted platform to detect a wide range of environmental exposures and endogenous changes in response to environmental influences in a variety of biological matrices.

The Geosciences and Education and Human Resources Directorates are partnering to advance and develop understanding of learning environments that build upon the rich interdisciplinary resources emerging from polar investments. To that end, the Division of Polar Programs (PLR), the Division of Undergraduate Education (DUE) and the Division of Research on Learning (DRL) encourage proposals that will leverage the extensive National Science Foundation (NSF) investment in polar sciences and infrastructure, and STEM education research and development, to promote an informed citizenry and the next generation of polar scientists. In order to advance polar science educational opportunities, PLR, DUE and DRL will accept and review proposals for research and development projects that facilitate access to polar research efforts in (1) undergraduate education, (2) informal science education or (3) formal PK-12 science or math education. Proposals must be submitted to either the Improving Undergraduate Science Education: Education and Human Resources (IUSE: EHR) deadline of November 2, 2016, the Advancing Informal STEM Learning (AISL) deadline of November 8, 2016, or the Discovery Research PreK-12 (DRK-12) deadline of December 5, 2016.

The Geosciences and Education and Human Resources Directorates are partnering to advance and develop understanding of learning environments that build upon the rich interdisciplinary resources emerging from polar investments. To that end, the Division of Polar Programs (PLR), the Division of Undergraduate Education (DUE) and the Division of Research on Learning (DRL) encourage proposals that will leverage the extensive National Science Foundation (NSF) investment in polar sciences and infrastructure, and STEM education research and development, to promote an informed citizenry and the next generation of polar scientists. In order to advance polar science educational opportunities, PLR, DUE and DRL will accept and review proposals for research and development projects that facilitate access to polar research efforts in (1) undergraduate education, (2) informal science education or (3) formal PK-12 science or math education. Proposals must be submitted to either the Improving Undergraduate Science Education: Education and Human Resources (IUSE: EHR) deadline of November 2, 2016, the Advancing Informal STEM Learning (AISL) deadline of November 8, 2016, or the Discovery Research PreK-12 (DRK-12) deadline of December 5, 2016.

The Ecology and Evolution of Infectious Diseases program supports research on the ecological, evolutionary, and socio-ecological principles and processes that influence the transmission dynamics of infectious diseases. The central theme of submitted projects must be quantitative or computational understanding of pathogen transmission dynamics. The intent is discovery of principles of infectious disease transmission and testing mathematical or computational models that elucidate infectious disease systems. Projects should be broad, interdisciplinary efforts that go beyond the scope of typical studies. They should focus on the determinants and interactions of transmission among humans, non-human animals, and/or plants. This includes, for example, the spread of pathogens; the influence of environmental factors such as climate; the population dynamics and genetics of reservoir species or hosts; the cultural, social, behavioral, and economic dimensions of disease transmission. Research may be on zoonotic, environmentally-borne, vector-borne, or enteric diseases of either terrestrial or freshwater systems and organisms, including diseases of animals and plants, at any scale from specific pathogens to inclusive environmental systems. Proposals for research on disease systems of public health concern to developing countries are strongly encouraged, as are disease systems of concern in agricultural systems. Investigators are encouraged to develop the appropriate multidisciplinary team, including for example, modelers, bioinformaticians, genomics researchers, social scientists, economists, epidemiologists, entomologists, parasitologists, microbiologists, bacteriologists, virologists, pathologists or veterinarians, with the goal of integrating knowledge across disciplines to enhance our ability to predict and control infectious diseases.

The Ecology and Evolution of Infectious Diseases program supports research on the ecological, evolutionary, and socio-ecological principles and processes that influence the transmission dynamics of infectious diseases. The central theme of submitted projects must be quantitative or computational understanding of pathogen transmission dynamics. The intent is discovery of principles of infectious disease transmission and testing mathematical or computational models that elucidate infectious disease systems. Projects should be broad, interdisciplinary efforts that go beyond the scope of typical studies. They should focus on the determinants and interactions of transmission among humans, non-human animals, and/or plants. This includes, for example, the spread of pathogens; the influence of environmental factors such as climate; the population dynamics and genetics of reservoir species or hosts; the cultural, social, behavioral, and economic dimensions of disease transmission. Research may be on zoonotic, environmentally-borne, vector-borne, or enteric diseases of either terrestrial or freshwater systems and organisms, including diseases of animals and plants, at any scale from specific pathogens to inclusive environmental systems. Proposals for research on disease systems of public health concern to developing countries are strongly encouraged, as are disease systems of concern in agricultural systems. Investigators are encouraged to develop the appropriate multidisciplinary team, including for example, modelers, bioinformaticians, genomics researchers, social scientists, economists, epidemiologists, entomologists, parasitologists, microbiologists, bacteriologists, virologists, pathologists or veterinarians, with the goal of integrating knowledge across disciplines to enhance our ability to predict and control infectious diseases.

The NIEHS and partnering Institutes and Centers are establishing an infrastructure, the Human Health Exposure Analysis Resource (HHEAR) as a continuation of the Children's Health Exposure Analysis Resource (CHEAR). The goal of this consortium is to provide the research community access to laboratory and statistical analyses to add or expand the inclusion of environmental exposures in their research and to make that data publicly available as a means to improve our knowledge of the comprehensive effects of environmental exposures on human health throughout the life course. This FOA solicits the HHEAR Coordinating Center (U24) that will serve as the administrative hub and external access point for HHEAR, managing and tracking the flow of projects, materials, and analyses between HHEAR units and participating investigators. In addition, the coordinating center will support administrative functions such as convening HHEAR Steering and Executive Committee meetings, and organizing education, outreach, and publicity activities.

The Radcliffe Institute for Advanced Study at Harvard University is accepting applications for its 2019-2020 Fellowship Program Through the program, stipends of up to $77,500 for one year with additional funds for project expenses will be awarded to individuals working in the creative arts, humanities, social sciences, natural sciences, and mathematics to pursue projects within their fields. In addition, some support for relocation expenses is provided where relevant. In addition to the stipend, fellows receive office or studio space and access to libraries and other resources of Harvard University during the fellowship year, which runs from early September 2019 through May 31, 2020. Visual, film, and video artists may apply for either one or two semesters. In the event that they come for one semester, the stipend is $38,750. Radcliffe Fellows are expected to devote themselves full time to the work outlined in their proposal. Since this is a residential fellowship, fellows are expected to reside in the Boston area during the fellowship period and to have their primary office at the institute to participate fully in the life of the community. The deadline for individual applications in the creative arts, humanities, and social sciences is September 13, 2018. For applications in the natural sciences and mathematics, the deadline is October 4, 2018.

The purpose of the Cyberlearning for Work at the Human-Technology Frontier program is to fund exploratory and synergistic research in learning technologies to prepare learners to excel in work at the human-technology frontier. This program responds to the pressing societal need to educate and re-educate learners of all ages (students, teachers and workers) in science, technology, engineering, and mathematics (STEM) content areas to ultimately function in highly technological environments, including in collaboration with intelligent systems. Innovative technologies can reshape learning processes, which in turn can influence new technology design. Learning technology research in this program should be informed by the convergence of multiple disciplines: education and learning sciences, computer and information science and engineering, and cognitive, behavioral and social sciences. This program funds learning technology research in STEM and other foundational areas that enable STEM learning.

The Ecology and Evolution of Infectious Diseases program supports research on the ecological, evolutionary, and socio-ecological principles and processes that influence the transmission dynamics of infectious diseases. The central theme of submitted projects must be quantitative or computational understanding of pathogen transmission dynamics. The intent is discovery of principles of infectious disease transmission and testing mathematical or computational models that elucidate infectious disease systems. Projects should be broad, interdisciplinary efforts that go beyond the scope of typical studies. They should focus on the determinants and interactions of transmission among humans, non-human animals, and/or plants. This includes, for example, the spread of pathogens; the influence of environmental factors such as climate; the population dynamics and genetics of reservoir species or hosts; or the cultural, social, behavioral, and economic dimensions of disease transmission. Research may be on zoonotic, environmentally-borne, vector-borne, or enteric diseases of either terrestrial or freshwater systems and organisms, including diseases of animals and plants, at any scale from specific pathogens to inclusive environmental systems. Proposals for research on disease systems of public health concern to developing countries are strongly encouraged, as are disease systems of concern in agricultural systems. Investigators are encouraged to involve the public health research community, including for example, epidemiologists, physicians, veterinarians, food scientists, social scientists, entomologists, pathologists, virologists, or parasitologists with the goal of integrating knowledge across disciplines to enhance our ability to predict and control infectious diseases.

The Microsoft Foundation is inviting applications for its Dissertation Grants program. The program supports PhD students at North American universities who are underrepresented in the field of computing and pursuing research aligned to the research areas carried out by Microsoft Research. Through the program, recipients will receive funding of up to $25,000 for the 2020-21 academic year as well as an invitation to the PhD Summit, a two-day workshop in the fall held at one of Microsoft Research's labs where fellows will meet with Microsoft researchers and other top students to share their research. Fellows must be aligned in research areas as defined by Microsoft Research, which include artificial intelligence; audio and acoustics; computer vision; graphics and multimedia; human-computer interaction; human language technologies; search and information retrieval; data platforms and analytics; hardware and devices; programming languages and software engineering; security, privacy, and cryptography; systems and networking; algorithms; mathematics; ecology and environment; economics; medical, health, and genomics; social sciences; and technology for emerging markets.

In 2016, the National Science Foundation (NSF) unveiled a set of "Big Ideas," 10 bold, long-term research and process ideas that identify areas for future investment at the frontiers of science and engineering (see https://www.nsf.gov/news/special_reports/big_ideas/index.jsp). The Big Ideas represent unique opportunities to position our Nation at the cutting edge of global science and engineering leadership by bringing together diverse disciplinary perspectives to support convergence research. As such, when responding to this solicitation, even though proposals must be submitted to the Education and Human Resources (EHR) Directorate/Division of Human Resource Development (HRD), once received, the proposals will be managed by a cross-disciplinary team of NSF Program Directors.

The Understanding the Rules of Life: Microbiome Theory and Mechanisms (URoL:MTM) program is an integrative collaborationacross Directorates and Offices within the National Science Foundation. The objective of URoL:MTM is to understand and establish the theory and mechanisms that govern the structure and function of microbiomes, a collection of microbes in a specific habitat/environment. This may include but is not limited to host-associated microbiomes, such as those with humans and other organisms, where i) the microbiome impacts host physiology, behavior, development, and fitness; ii) the host influences the metabolic activity, dynamics and evolution of the microbiome, and iii) the environment (biological, chemical, physical, and social) influences and is influenced by both the host and the microbiome. Recent progress has transformed our ability to identify and catalogue the microbes present in a given environment and measure multiple aspects ofbiological, chemical, physical, and social environments that affect the interactions among the members of the microbiome, the host, and/or habitat. Much descriptive and correlative work has been performed on many microbiome systems, particularly those in the human, soil, aquatic, and built environments. This research has resulted in new hypotheses about the microbiome's contributions to potential system function or dysfunction. The current challenge is to integrate the wide range of accumulated data and information and build on them to develop new causal/mechanistic models or theories of interactions and interdependencies across scales and systems.

A. Noam Chomsky Global Connections Awards celebrate the power of human connections. The awards recognize distinguished service to the global mission of the STAR Scholars Network. Several individuals with a deep impact on advancing global, social mobility are recognized every year. We live in a time when innovation and creativity in support of humanity are of great importance. The Star Scholars Network recognizes the commitment of concerned people able and willing to make a difference in the lives of others. Nominations for this award are solicited from around the world. The nominee can be from any field. Beginning in 2020, the Star Scholars Network is committed to promoting transnational research, or collaborative research between scholars of two or more countries (e.g., joint publications, research partnerships, etc.). The Global Connections Awards recognize STAR Scholars for their achievements and distinctive contributions to translational research that demonstrates the very best of scholarly collaboration among scholars around the world. In December 2020, the Star Scholars Network will provide awards in three categories: North Star Medal of Lifetime Achievement, Shining Star Achievement in Research Award, Rising Star Emerging Scholar Certificate

Algorithms in the Field encourages closer collaboration between two groups of researchers: (i) theoretical computer science researchers, who focus on the design and analysis of provably efficient and provably accurate algorithms for various computational models; and (ii) other computing and information researchers including a combination of systems and domain experts (very broadly construed - including but not limited to researchers in computer architecture, programming languages and systems, computer networks, cyber-physical systems, cyber-human systems, machine learning, artificial intelligence and its applications, database and data analytics, etc.) who focus on the particular design constraints of applications and/or computing devices. Each proposal must have at least one co-PI interested in theoretical computer science and one interested in any of the other areas typically supported by CISE. Proposals are expected to address the dissemination of both the algorithmic contributions and the resulting applications, tools, languages, compilers, libraries, architectures, systems, data, etc.

Algorithms in the Field encourages closer collaboration between two groups of researchers: (i) theoretical computer science researchers, who focus on the design and analysis of provably efficient and provably accurate algorithms for various computational models; and (ii) other computing and information researchers including a combination of systems and domain experts (very broadly construed - including but not limited to researchers in computer architecture, programming languages and systems, computer networks, cyber-physical systems, cyber-human systems, machine learning, artificial intelligence and its applications, database and data analytics, etc.) who focus on the particular design constraints of applications and/or computing devices. Each proposal must have at least one co-PI interested in theoretical computer science and one interested in any of the other areas typically supported by CISE. Proposals are expected to address the dissemination of both the algorithmic contributions and the resulting applications, tools, languages, compilers, libraries, architectures, systems, data, etc.

The Algorithms for Threat Detection (ATD) program will support research projects to develop the next generation of mathematical and statistical algorithms for analysis of large spatiotemporal datasets with application to quantitative models of human dynamics. The program is a partnership between the Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) and theNational Geospatial Intelligence Agency (NGA).

The Algorithms for Threat Detection (ATD) program will support research projects to develop the next generation of mathematical and statistical algorithms for analysis of large spatiotemporal datasets with application to quantitative models of human dynamics. The program is a partnership between the Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) and the National Geospatial Intelligence Agency (NGA).