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Methodology
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Community Based Participatory Research
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Building a Better Physician - The Case for the New MCAT External Exit Disclaimer
April 5, 2012

Applications are being accepted for Physician with Behavioral and Social Science Expertise position. Deadline: 05-14-2012
May 4, 2012

The New Journal Supplement on Racial/Ethnic Discrimination and HealthExternal Exit Disclaimer
April 23, 2012

U.S. Cancer Rates Could Be Cut in Half Today Based on What's Already KnownExternal Exit Disclaimer
March 29, 2012

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June 10 - 15, 2012
Washington University, St. Louis
2012 Institute on Systems Science and Health (ISSH) External Exit Disclaimer
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July 9 - 12, 2012
San Jose, CA
Training Institute for Dissemination and Implementation Research in Health External Exit Disclaimer
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July 9 - 13, 2012
New York, NY
2012 NIH Summer Institute on Social and Behavioral Intervention Research External Exit Disclaimer
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Home > Scientific Areas > Methodology


Methodology

The development of new methodologies to improve the quality and scientific power of data collected in behavioral and social sciences research is a priority for OBSSR. Methodological development encompasses advances in research design, data collection, measurement and data analytic techniques, in addition to technological breakthroughs and infrastructure development. Improvement in all of these is critical to the continuing advancement of behavioral and social sciences research and for the meaningful integration of behavioral and social science data with those obtained from the biological, physical, and computational sciences or engineering in interdisciplinary research Methodological development will help address the following questions:
  • How can we apply advances in computer sciences, geospatial coding methods, imaging, and biomarker collection and other technologies to measure behavior in real time and in natural contexts?
  • How can improvements in computational and statistical techniques help us decipher the health effects of biological, behavioral, social and environmental factors, which are non-linear, mutually-interacting, and changing over time?
  • What informatics grids, networking, and database infrastructures are needed to support the massive amounts of data we are now able to collect with new technologies?
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Methodology