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The Civil Infrastructure Systems (CIS) program supports research leading to the engineering of infrastructure systems for resilience and sustainability without excluding other key performance issues. Areas of interest include intra- and inter-physical, information and behavioral dependencies of infrastructure systems, infrastructure management, construction engineering, and transportation systems. Special emphasis is on the design, construction, operation, and improvement of infrastructure networks with a focus on systems engineering and design, performance management, risk analysis, life-cycle analysis, modeling and simulation, behavioral and social considerations not excluding other methodological areas or the integration of methods.This program does not encourage research proposals primarily focused on structural engineering, materials or sensors that support infrastructure system design, extreme event modeling, hydrological engineering, and climate modeling, since they do not fall within the scope of the CIS program. Researchers focused in these areas are encouraged to contact the Infrastructure Management and Extreme Events (IMEE), Geotechnical Engineering (GTE), Hazard Mitigation and Structural Engineering (HSME), Structural Materials and Mechanics (SMM), or the Sensors and Sensing Systems (SSS) program within CMMI. Additionally, researchers may consider contacting the Hydrologic Sciences program in the Earth Sciences Division (EAR) or the Physical and Dynamic Meteorology (PDM) program in the Atmospheric and Geospace Sciences Division (AGS) of the Directorate for Geosciences.

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 National Science Foundation's Division of Behavioral and Cognitive Sciences (BCS), Division of Social and Economic Sciences (SES), National Center for Science and Engineering Statistics (NCSES), and the SBE Office of Multidisciplinary Activities (SMA) award grants to doctoral students to improve the quality of dissertation research. These grants provide funds for items not normally available through the student's university. Additionally, these grants allow doctoral students to undertake significant data-gathering projects and to conduct field research in settings away from their campus that would not otherwise be possible. Proposals are judged on the basis of their scientific merit, including the theoretical importance of the research question and the appropriateness of the proposed data and methodology to be used in addressing the question. In an effort to improve the quality of dissertation research, many programs in both BCS and SES, the Research on Science and Technology Surveys and Statistics program within NCSES, and the Science of Science and Innovation Policy program in SMA accept doctoral dissertation improvement grant proposals. Requirements vary across programs, so proposers are advised to consult the relevant program's webpage for specific information and contact the program director if necessary.

The study of adult offender decision-making has typically been approached from the rational choice model. With this solicitation NIJ seeks to expand the existing research by examining the process of adult offender decision-making with respect to the decision to offend. NIJ requests proposals that either expand the rational choice model or use other theories (e.g., behavioral economics, business models, psychology, or cognitive models) or both. Proposed research also should consider issues such as social context, emotions, default choices, or possibly environmental context to help the field gain a better understanding of the overall decision-making process.

The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH.  The over-arching goal of this Big Data to Knowledge (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 Courses for Skills Development for biomedical researchers who need the requisite knowledge and skills to extract knowledge from biomedical Big Data.  To extend the reach of the course, each educational activity is required to develop open educational resources (OERs) that adhere to FAIR (findable, accessible, interoperable, and reusable) principles. Ideally, OERs should be useful to individuals at all career levels, from predoctoral students to established investigators. 

The study of adult offender decision-making and desistance to commit crime typically has been approached from a rational choice perspective and a life-course perspective, respectively. With this solicitation NIJ seeks to expand the existing research by examining the process of adult offender decision-making. NIJ requests proposals that either expand the rational choice model and/or life-course model, use other theories to explain either the choice to commit crime or to desist from committing crime (e.g., behavioral economics, business models, psychology, or cognitive models), or any combination of these. Proposed research also should consider issues such as social context, emotions, default choices, or possibly environmental context to gain a better understanding of the overall decision-making process to commit or desist from committing crimes.

The Sociology Program supports basic research on all forms of human social organization -- societies, institutions, groups and demography -- and processes of individual and institutional change. The Program encourages theoretically focused empirical investigations aimed at improving the explanation of fundamental social processes. Included is research on organizations and organizational behavior, population dynamics, social movements, social groups, labor force participation, stratification and mobility, family, social networks, socialization, gender roles, and the sociology of science and technology. The Program supports both original data collections and secondary data analysis that use the full range of quantitative and qualitative methodological tools. Theoretically grounded projects that offer methodological innovations and improvements for data collection and analysis are also welcomed.

This Funding Opportunity Announcement invites applications to establish P30 Centers of Excellence in Self-Management of Symptoms.The purpose of this program is to support NINR P30 Centers of Excellence for the sustainability of and to enhance interdisciplinary, biobehavioral research for scientists conducting Self-Management of Symptoms.

The following programs have due dates that fall between October 1 - 25, 2013, and these dates are being revised due to the Federal  government shutdown. These revised dates apply whether the proposal is being submitted via the NSF FastLane System or  Grants.gov. Due to compressed proposal deadlines resulting from the shutdown, proposers are advised that they may experience a  delay when contacting IT Help Central with technical support questions. Frequently asked questions regarding these date changes  are available on the Resumption of Operations page on the NSF website at: http://www.nsf.gov/bfa/dias/policy/postshutdown.jsp. 

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 purpose of this FOA is to bring about decreases in IPV risk factors and increases in IPV protective factors by increasing strategic data-driven planning and sustainable use of community and societal level primary prevention activities that address the social determinants of health (SDOH) and are based on the best available evidence. In addition, the FOA will help to further develop the evidence-base for community and societal-level programs and policy efforts to prevent IPV by increasing the use of evaluation and existing surveillance data at the state and local level. Another goal of the FOA is for SDVCs to support the integration of primary prevention goals and action steps throughout the state and local level IPV planning and capacity building activities. The aim of integrating primary prevention into state planning is to help states leverage diverse funding and partnerships to increase the implementation of primary prevention above and beyond DELTA funding. DELTA Impact requires SDVCs to focus on the implementation of 3 to 4 evidence-informed programs and policy efforts within three specific focus areas. SDVCs will also focus on developing or enhancing an already-existing State Action Plan (SAP) to increase the use of data for planning and the prioritization of primary prevention of IPV based on any existing health inequities within their jurisdictions. SDVCs will be expected to participate in the national evaluation of the FOA and provide leadership at the state and national level.