Population Modeling Funding Announcements

 

  • Short Courses on Innovative Methodologies in the Behavioral and Social Sciences (R25)
  • Systems Science and Health in the Behavioral and Social Sciences (R01 and R21)


Spatial Uncertainty: Data, Modeling, and Communication (R01, R21, R03)

Limited Competition for the Global Research Initiative Program, Behavioral/Social Sciences (R01)(PAR-10-280)

NSF Social-Computational Systems (SoCS) Program Solicitation NSF 10-600

  • Replaces Document: NSF 09-559
  • Due November 11, 2011
  • The Social-Computational Systems (SoCS) program seeks to reveal new understanding about the properties that systems of people and computers together possess, and to develop theoretical and practical understandings of the purposeful design of systems to facilitate socially intelligent computing. By better characterizing, understanding, and eventually designing for desired behaviors arising from computationally mediated groups of people at all scales, new forms of knowledge creation, new models of computation, new forms of culture, and new types of interaction will result. Further, the investigation of such systems and their emergent behaviors and desired properties will inform the design of future systems.
  • Full Announcement

Systems-Oriented Pediatric Obesity Research and Training (SPORT) Center of Excellence (U54)

  • Solicits grant applications from institutions that propose to establish a center of excellence of childhood obesity research and training based on a transdisciplinary systems science framework and systems-based methodologies, including the use of systems modeling to capture the complexity of the etiology of childhood obesity and the potential impact of environmental and/or policy interventions.
  • LOI Receipt Date: Nov 30, 2010
  • Application Receipt Date: Dec 30, 2010
  • More Information
  • Science of Structure, Organization and Practice Design in the Efficient Delivery of Effective Healthcare (R21) RFA-RM-10-016
Letters of Intent Receipt Date(s): September 26, 2010
Application Due Date(s): October 26, 2010
  • This FOA solicits R21 applications for exploratory and developmental research projects that will lead to increased efficiency in the production of health and delivery of health care. Specifically, research sought under this announcement should inform 1) the identification of specific, modifiable causes of high and increasing health care costs related to the structure, organization, and production of health care; and 2) the development and refinement of interventions, practices, or policies that can address these causes while maintaining or enhancing outcomes.

Climate Change and Health: Assessing and Modeling Population Vulnerability to Climate Change (R21)

  • Application Due Date(s): September 28, 2010; May 24, 2011; May 24, 2012
  • This FOA encourages research applications to examine the differential risk factors of populations that lead to or are associated with increased vulnerability to exposures, diseases and other adverse health outcomes related to climate change. Applications may involve either applied research studies that address specific hypotheses about risk factors or population characteristics associated with increased vulnerability, or research projects to develop general models or methods for identifying and characterizing population vulnerability to climate change.
  • More Information

Obesity Policy Research: Evaluation and Measures (R01) PA-10-027

Social Network Analysis and Health (R01): PAR-10-145

Receipt Date : May 11, 2012

Social Network Analysis and Health (R21): PAR-10-146

Receipt Date : May 11, 2012
We are happy to announce that OBSSR is issuing two funding opportunity announcements (FOAs) for basic research on social network analysis and that nine Institutes and Centers (ICs) are participating. These FOAs encourage research that aims to accomplish one or more specific goals: (1) generate new theories that would enhance the capabilities and value of Social Network Analysis (SNA); (2) address fundamental questions about social interactions and processes in social networks; (3) address fundamental questions about social networks in relation to health and health-related behaviors; (4) develop innovative methodologies and technologies to facilitate, improve, and expand the capabilities of SNA.


Scientific Meetings for Creating Interdisciplinary Research Teams (R13)

  • http://grants.nih.gov/grants/guide/pa-files/PA-10-106.html
  • Encourages Research Conference Grant (R13) applications from institutions and organizations that propose to develop interdisciplinary research teams.
  • Teams must include investigators from the social and/or behavioral sciences, and may include the life and/or physical sciences.
  • The goal is to broaden the scope of investigation into scientific problems, yield fresh and possibly unexpected insights, and increase the sophistication of theoretical, methodological, and analytical approaches by integrating the analytical strengths of two or more disparate scientific disciplines while addressing gaps in terminology, approach, and methodology.
  • Program will allow investigators from multiple disciplines to hold meetings in order to provide the foundation for developing interdisciplinary research projects.


PAR-08-224 Using Systems Science Methodologies to Protect and Improve Population Health (R21)

  • Issued by OBSSR with more than a dozen participating NIH components
  • Receipt dates: February 15, June 15, October 15 through June 2011; Letters of intent due 30 days prior to application due date
  • Special review panel - applications do not go to standing study section
  • Contact Patty Mabry, OBSSR at mabryp@od.nih.gov if you are considering applying in order to schedule a time to briefly discuss your application. Do this well in advance.

 

PAR-08-212/213/214: Methodology and Measurement in the Behavioral and Social Sciences

  • Is expressly for the development of new methodologies and measures, including innovation on existing methodology and measurement
  • Systems science is mentioned as a target area for applications
  • Special review panel - applications do not go to standing study section

 

PA-07-427/428/429 Research on Alcohol-Related Public Policies such as Those Detailed in the Alcohol Policy Information System

  • Expires September 2010.
  • Areas of Research Interest: Studies of the effects of alcohol-related public policies commonly take the form of natural experiments: secondary analyses of problem indicator data before and after a policy change takes effect. Cross-sectional studies or research designs that pool time-series and cross-sectional data may also be appropriate for analyzing the effects of policies on specific outcomes of interest. In addition, simulation models, including both population-based and agent-based or microsimulation studies, [italics added] can provide flexible frameworks for examining effects of multiple policy changes on a range of outcomes.

 

PAR-08-023 Predictive Multiscale Models of the Physiome in Health and Disease (R01)

  • Expires September 2010.
  • 3 receipt dates per year. January 14, 2010, May 14, 2010, September 15, 2010.
  • Special review panel – applications do not go to standing study sections
  • Excerpts from the FOA: The goal of this solicitation is to move the field of biomedical computational modeling forward through the development of more realistic and predictive models of health and disease. NIH recognizes the need for sophisticated, predictive, computational models of development and disease that encompass multiple biological scales. These models may be designed to uncover biological mechanisms or to make predictions about clinical outcome and may draw on a variety of data sources including relevant clinical data. Ultimately the models and the information derived from their use will enable researchers and clinicians to better understand, prevent, diagnose and treat the diseases or aberrations in normal development. Specifically this FOA solicits the development of predictive multiscale models of health and disease states that must include higher scales of the physiome [italics/boldface added] Multiscale, biomedical modeling uses mathematics and computation to represent and simulate a physiological system at more than one biological scale. Biological scales include atomic, molecular, molecular complexes, sub-cellular, cellular, multi-cell systems, tissue, organ, multi-organ systems, organism, population, and behavior. Models at higher scales of the physiome represent multi-cell systems, tissue, organ, multi-organ systems, organism structure and function, population and behavior. Currently much of the multiscale modeling efforts concentrate on lower scales with models of genes, proteins, carbohydrates, lipids, signaling pathways and networks, metabolic pathways and networks, and molecular interactions at the cellular level. Linking lower scale models with higher scale models will bring model development one step closer to models for predictive medicine.
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