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This Broad Agency Announcement (BAA) for the Foundational Science Research Unit (FSRU) of the U.S. Army Research Institute for the Behavioral and Social Sciences (ARI) solicits new proposals for its fiscal year 2019 program of basic research in behavioral science. It is issued under the provisions of paragraph 6.102(d) (2) and 35.016 of the Federal Acquisition Regulation (FAR), which provides for the acquisition of basic and applied research and that part of development not related to the development of a specific system or hardware procurement through the competitive selection of proposals and 10 U.S.C. 2358 and 10 U.S.C. 2371. Proposals submitted in response to this BAA and selected for award are considered to be the result of full and open competition and in full compliance with the provisions of Public Law 98- 369, Section 2701, "The Competition in Contracting Act of 1984" and subsequent amendments.

This FOA solicits applications for new Behavioral and Social Sciences Research (BSSR) predoctoral training programs that focus on innovative computational and/or data science analytic approaches and their incorporation into training for the future BSSR health research workforce. The vision of the Advanced Data Analytics for BSSR training program is to support the development of a cohort of specialized predoctoral candidates who will possess advanced competencies in data science analytics to apply to an increasingly complex landscape of behavioral and social health-related big data.

Social science research on many topics has often been hampered by the limitations of survey data. However, the digital age has rapidly increased access to large and comprehensive data sources such as public and private administrative databases, and unique new sources of information from online transactions, social-media interactions, and internet searches. New computational tools also allow for the extraction, coding, and analysis of large volumes of text. Advances in analytical methods for exploiting and analyzing data have accompanied the rise of these data. The emergence of these new data also raises questions about access, privacy and confidentiality. The Russell Sage Foundation's initiative on Computational Social Science (CSS) supports innovative social science research that brings new data and methods to bear on questions of interest in its core programs in Behavioral Economics, Future of Work, Race, Ethnicity and Immigration, and Social Inequality. Limited consideration will be given to questions that pertain to core methodologies, such as causal inference and innovations in data collection.

Hazards SEES seeks research projects that will productively cross the boundaries of the atmospheric and geospace, earth, and ocean sciences; computer and information science; cyberinfrastructure; engineering; mathematics and statistics; and social, economic, and behavioral sciences. Successful proposals will integrate across these multiple disciplines to promote research that advances new paradigms that contribute to creating a society resilient to hazards. Hazards SEES intends to transform hazards and disaster research by fostering the development of interdisciplinary research that allows for appropriately targeted data collection, integration, and management; modeling (including predictive models for real-time decision making); visualization and simulation; data analytics and data-driven discovery; real-time sensing; cross-cutting knowledge development; and synthesis of applicable models and theory. 

The Graduate Research Fellowship in the Social and Behavioral Sciences track is open to doctoral students in all social and behavioral science disciplines. The fellowship awards provide support for 12 to 18 months to accredited universities for research on crime, violence and other criminal justice-related topics.

The Graduate Research Fellowship in the Social and Behavioral Sciences track is open to doctoral students in all social and behavioral science disciplines. The fellowship awards provide support for 12 to 18 months to accredited universities for research on crime, violence and other criminal justice-related topics.

The goal of the Smart and Connected Health (SCH) Program is to accelerate the development and use of innovative approaches that would support the much needed transformation of healthcare from reactive and hospital-centered to preventive, proactive, evidence-based, person-centered and focused on well-being rather than disease. Approaches that partner technology-based solutions with biobehavioral health research are supported by multiple agencies of the federal government including the National Science Foundation (NSF) and the National Institutes of Health (NIH). The purpose of this program is to develop next generation health care solutions and encourage existing and new research communities to focus on breakthrough ideas in a variety of areas of value to health, such as sensor technology, networking, information and machine learning technology, decision support systems, modeling of behavioral and cognitive processes, as well as system and process modeling. Effective solutions must satisfy a multitude of constraints arising from clinical/medical needs, social interactions, cognitive limitations, barriers to behavioral change, heterogeneity of data, semantic mismatch and limitations of current cyberphysical systems. Such solutions demand multidisciplinary teams ready to address technical, behavioral and clinical issues ranging from fundamental science to clinical practice.

The goal of the Smart and Connected Health (SCH) Program is to accelerate the development and use of innovative approaches that would support the much needed transformation of healthcare from reactive and hospital-centered to preventive, proactive, evidence-based, person-centered and focused on well-being rather than disease. Approaches that partner technology-based solutions with biobehavioral health research are supported by multiple agencies of the federal government including the National Science Foundation (NSF) and the National Institutes of Health (NIH). The purpose of this program is to develop next generation health care solutions and encourage existing and new research communities to focus on breakthrough ideas in a variety of areas of value to health, such as sensor technology, networking, information and machine learning technology, decision support systems, modeling of behavioral and cognitive processes, as well as system and process modeling. Effective solutions must satisfy a multitude of constraints arising from clinical/medical needs, social interactions, cognitive limitations, barriers to behavioral change, heterogeneity of data, semantic mismatch and limitations of current cyberphysical systems. Such solutions demand multidisciplinary teams ready to address technical, behavioral and clinical issues ranging from fundamental science to clinical practice.

The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH.  The over-arching goal of this BD2K  R25 program is to support educational activities that complement and/or enhance the training of a workforce to meet the nation's biomedical, behavioral and clinical research needs.    To accomplish the stated over-arching goal, this FOA will support creative educational activities with a primary focus on     Curriculum or Methods Development  in Big Data Science to augment current institutional curricula for the training of predoctoral level biomedical scientists and provide concentrated instruction in the tools, approaches and quantitative analysis concepts in data science. To facilitate the integration of data science into biomedical curricula nationally, this FOA seeks to support a cohort of institutions that will work collaboratively and collectively to produce curricular materials that are findable, accessible, interoperable, and reusable (FAIR).

The Army Research Institute for the Behavioral and Social Sciences is the Army's lead agency for the conduct of research, development, and analyses for the improvement of Army readiness and performance via research advances and applications of the behavioral and social sciences that address personnel, organization, training, and leader development issues. ARI contracts with educational institutions, nonprofit organizations, and private industry for research and development (R&D) in different areas, including the areas specifically identified in Part I of BAA W911NF-13-R-0001. The ARI Basic Research Program supports research projects that are designed to expand fundamental knowledge and discover general principles in the behavioral and social sciences. Efforts funded under this White Paper request will only include Basic Research.

Organizations -- private and public, established and entrepreneurial, designed and emergent, formal and informal, profit and nonprofit -- are critical to the well-being of nations and their citizens. They are of crucial importance for producing goods and services, creating value, providing jobs, and achieving social goals. The Science of Organizations (SoO) program funds basic research that yields a scientific evidence base for improving the design and emergence, development and deployment, and management and ultimate effectiveness of organizations of all kinds. SoO funds research that advances our fundamental understanding of how organizations develop, form and operate. Successful SoO research proposals use scientific methods to develop and refine theories, to empirically test theories and frameworks, and to develop new measures and methods. Funded research is aimed at yielding generalizable insights that are of value to the business practitioner, policy-maker and research communities. SoO welcomes any and all rigorous, scientific approaches that illuminate aspects of organizations as systems of coordination, management and governance. In considering whether a particular project might be a candidate for consideration by SoO, please note: Intellectual perspectives may involve (but are not limited to) organizational theory, behavior, sociology or economics, business policy and strategy, communication sciences, entrepreneurship, human resource management, information sciences, managerial and organizational cognition, operations management, public administration, social or industrial psychology, and technology and innovation management. Phenomena studied may include (but are not limited to) structures, routines, effectiveness, competitiveness, innovation, dynamics, change and evolution.Levels of analysis may include (but are not limited to) organizational, cross-organizational collaborations or relationships, and institutional and can address individuals, groups or tea

The Decision, Risk and Management Sciences program supports scientific research directed at increasing the understanding and effectiveness of decision making by individuals, groups, organizations, and society. Disciplinary and interdisciplinary research, doctoral dissertation research, and workshops are funded in the areas of judgment and decision making; decision analysis and decision aids; risk analysis, perception, and communication; societal and public policy decision making; management science and organizational design. The program also supports small grants that are time-critical and small grants that are high-risk and of a potentially transformative nature (see Grants for Rapid Response Research (RAPID) and EArly-concept Grants for Exploratory Research (EAGER).)Funded research must be grounded in theory and generalizable. Purely algorithmic management science proposals should be submitted to the Operations Research Program rather than to DRMS.For additional funding opportunities, we invite you to also look at the Cross-Directorate Activities program website.For program specific guidelines on the Doctoral Dissertation Improvement Grants in DRMS, please visit: Doctoral Preparation Checklist.

The CRISP solicitation seeks to fund projects likely to produce new knowledge that can contribute to making ICI services more effective, efficient, dependable, adaptable, resilient, safe, and secure, taking into account the human systems in which they are embedded. Successful proposals are expected to study multiple infrastructures focusing on them as interdependent systems that deliver services, enabling a new interdisciplinary paradigm in infrastructure research. To meet the interdisciplinary criterion, proposals must broadly integrate across engineering, computer, information and computational science, and the social, behavioral and economic sciences.

The CRISP solicitation seeks to fund projects likely to produce new knowledge that can contribute to making ICI services more effective, efficient, dependable, adaptable, resilient, safe, and secure, taking into account the human systems in which they are embedded. Successful proposals are expected to study multiple infrastructures focusing on them as interdependent systems that deliver services, enabling a new interdisciplinary paradigm in infrastructure research. To meet the interdisciplinary criterion, proposals must broadly integrate across engineering, computer, information and computational science, and the social, behavioral and economic sciences.

The Methodology, Measurement, and Statistics (MMS) Program is an interdisciplinary program in the Directorate for Social, Behavioral, and Economic Sciences that supports the development of innovative, analytical, and statistical methods and models for those sciences. MMS seeks proposals that are methodologically innovative, grounded in theory, and have potential utility for multiple fields within the social and behavioral sciences. As part of its larger portfolio, the MMS Program partners with a consortium of federal statistical agencies to support research proposals that further the development of new and innovative approaches to surveys and to the analysis of survey data.

NOAA's Office of Weather and Air Quality (OWAQ) is soliciting proposals for weather, air quality, and earth-system modeling research reflecting multiple science objectives spanning time scales from hours to seasons, and from weather and water observations and earth system modeling to social and behavioral science. There will be three grant competitions from this notification valued at approximately $7,000,000 as follows: 1) Joint Technology Transfer Initiative (JTTI), 2) Verification of the Origins of Rotation in Tornadoes Experiment - Southeast U.S. (VORTEX-SE), and 3) Climate Testbed (CTB). In alignment with the Weather Forecasting and Innovation Act of 2017 (Public Law 115-25), the funded projects should improve NOAA's understanding and ultimately its services of weather and water forecasting through engagement with the external scientific community on key science gaps of mutual interest. Through this funding opportunity, NOAA will support new weather, water, climate, earth system, and air quality observing and forecasting applications, including improved analysis techniques, better statistical or dynamic forecast models and techniques, and communication of that information to better inform the public.

Due to the effects of COVID-19 on all facets of American life, the foundation is changing its immediate priorities for Letters of Inquiry for its upcoming deadline. Under the new priority, the foundation will only consider LOIs that satisfy the following criteria: research so timely and time-sensitive that the project must start before April 1, 2021; or research that analyzes social, political, economic, or psychological disruptions resulting from the coronavirus crisis affecting social and living conditions in the United States. All LOIs must focus on issues related to the foundation's core program areas and special initiatives, which include: Behavioral Economics - Research that uses insights and methods from psychology, economics, sociology, political science, and other social sciences to examine and improve social and living conditions. Decision-Making and Human Behavior in Context - Research on decision making across the social sciences that examines causes, consequences, processes, or context from a behavioral or alternative perspective. Future of Work - Projects that examine a wide range of causal factors that may have depressed wages of low-education workers, from foreign outsourcing and immigration to the decline of unions and technological change. Race, Ethnicity, and Immigration - Research investigating multidisciplinary perspectives on questions stemming from the significant changes in the racial, ethnic, and immigrant-origin composition of the U.S. population. Social, Political, and Economic Inequality - Research examining the factors that contribute to existing inequities; the extent to which these inequalities affect social, political, and economic institutions and outcomes; and how they influence the lives of individuals and families, including equality of access and opportunity, social mobility, and civic mobilization and representation, as well as how advantage and disadvantage are transmitted within and across generations.

The overall goal of the BHSA is to advance behavioral health cancer science and fill gaps in the understanding of survivorship, including investigations into the psychological health and well- being of those affected by cancer (e.g., patients, family members). This may include investigations into studies that improve mental health and/or cancer related outcomes in defined populations. Studies also may assess the relationship(s) between behavioral and social functioning in relation to cancer initiation, progression, detection, treatment, and rehabilitation. Applications may propose behavioral science that examines quality of life studies, decision making and/or cognitive function research, development and testing of educational interventions, and symptom management (e.g., toxicity of treatment, palliative care, psychological distress and anxiety). Applications may target development of evidence-based practices, behavioral health science interventions and surveillance, and identification of psychosocial patient outcomes.

As an initiative of the Office of Diversity and Inclusion, the Aspiring Physicians & Research Scientists Conference is a two-and-a-half day enhancement program that focuses on science innovation and world-class care. Cleveland Clinic physician and research scientist-led presentations and mentoring/coaching sessions provide students a unique opportunity to interface with our world renowned staff. An abstract poster competition provides students the opportunity to showcase their research. Our target audience includes underrepresented minority science, math and pre-med college students. It is designed to increase representation of American Indian, Black/African American, Hispanic/Latino, and Native Hawaiian/Pacific Islander physicians, research scientists, physician investigators and physician leaders. Applicants, who must be at least 18 years of age and currently enrolled in college majoring in math, science, or pre-med will be notified of acceptance via email by April 19, 2013. Research students interested in participating in the poster research scholarship competition must submit an abstract of their work by April 12, 2013. Applicants accepted to present their posters will be notified by email by April 19, 2013.

The Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics (TUES) program seeks to improve the quality of science, technology, engineering, and mathematics (STEM) education for all undergraduate students. This solicitation especially encourages projects that have the potential to transform undergraduate STEM education, for example, by bringing about widespread adoption of classroom practices that embody understanding of how students learn most effectively. Thus transferability and dissemination are critical aspects for projects developing instructional materials and methods and should be considered throughout the project's lifetime.  More advanced projects should involve efforts to facilitate adaptation at other sites.

As part of NSF's Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21) activity, the Directorate for Social, Behavioral, and Economic Sciences (SBE), the Directorate for Education and Human Resources (EHR), and the Office of Cyberinfrastructure seek to enable research communities to develop visions, teams, and capabilities dedicated to creating new, large-scale, next-generation data resources and relevant analytic techniques to advance fundamental research for the SBE and EHR areas of research.  Successful proposals will outline activities that will have significant impacts across multiple fields by enabling new types of data-intensive research.  Investigators should think broadly and create a vision that extends intellectually across multiple disciplines and that includes--but is not limited to--the SBE or EHR areas of research.

The purpose of this announcement is to support and facilitate multidisciplinary approaches to the development of new and/or improved contraceptive methods for both men and women.  This FOA expands the scope of the former program by calling for Centers to inform contraceptive development and improve contraceptive use by integrating the biomedical research and development with behavioral and social science research, e.g., demography and other population sciences, psychology, economics, and sociology.  These Centers also will serve as a national resource for development of early stage investigators electing to pursue careers in contraceptive research.

The purpose of this announcement is to support and facilitate multidisciplinary approaches to the development of new and/or improved contraceptive methods for both men and women.  This FOA expands the scope of the former program by calling for Centers to inform contraceptive development and improve contraceptive use by integrating the biomedical research and development with behavioral and social science research, e.g., demography and other population sciences, psychology, economics, and sociology.  These Centers also will serve as a national resource for development of early stage investigators electing to pursue careers in contraceptive research.

The National Science Foundation awards Doctoral Dissertation Improvement Grants in selected areas of the biological sciences. Proposals must fall within the scope of any of the clusters in the Division of Environmental Biology (DEB) or the Behavioral Systems Cluster in the Division of Integrative Organismal Systems (IOS). These grants provide partial support of doctoral dissertation research for improvement beyond the already existing project. Allowed are costs for doctoral candidates to participate in scientific meetings, to conduct research in specialized facilities or field settings, and to expand an existing body of dissertation research.