_________________________ Jacqueline M. Hughes-Oliver North Carolina State University, Statistics...

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_________________________ Jacqueline M. Hughes-Oliver North Carolina State University, Statistics SAMSI CDI Workshop November 1, 2007 Panel on “Building Virtual Organizations” - Elements of a Virtual Organization - Some critical issues and opportunities - Potential application areas

Transcript of _________________________ Jacqueline M. Hughes-Oliver North Carolina State University, Statistics...

Page 1: _________________________ Jacqueline M. Hughes-Oliver North Carolina State University, Statistics SAMSI CDI Workshop November 1, 2007 Panel on Building.

_________________________Jacqueline M. Hughes-Oliver

North Carolina State University, Statistics

SAMSI CDI WorkshopNovember 1, 2007

Panel on “Building Virtual Organizations”

- Elements of a Virtual Organization- Some critical issues and opportunities- Potential application areas

Page 2: _________________________ Jacqueline M. Hughes-Oliver North Carolina State University, Statistics SAMSI CDI Workshop November 1, 2007 Panel on Building.

Nov 1, 2007 2

Virtual Organization________________

• Members may be geographically separated• Connected by computer and other adv. technologies• Share resources and skills to achieve goals• Members have complementary expertise• Focus on change• Incorporates best practices• Trust between members• Typology based on : purpose, place, platform,

population interaction structure, profit model

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Critical Issues, Opportunities___________

• Sharing of resources to encourage reproducibility and stimulate discovery within science– Data sharing, even in the face of confidentiality concerns– Sharing software, algorithms, and CPUs– Can address bigger problems as a group

• Model interrogation and comparison– Model tuning, comparison, and selection– Must be scalable to accommodate large data structures

• Model interpretation and visualization– Knowledge transfer, utility, and confirmation– Demands intimate cross-disciplinary discussions

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Potential Applications_______________

• Classification & Prediction– Theme: From Data to Knowledge– Data mining and dimension reduction– Move away from common criteria of success– Search for and explain rare occurrences

• Pathway-Based Analysis– Theme: Understanding Complexity in Natural … Systems– Metabolic pathways, genetic pathways, etc.– Uncover complicated interactions and dependencies– Emerging as a very active area of research

Share + best practices + trust + complementary expertise