Saturday 1 SN4CI
Words  (used across 3 or more groups) Defined: community, scope Identifying: developers, early adopters, mechanism of support Support: developers (recognition),  network evolution, advancement of models Maintain:  software, data Collaboration: indexed, measured, potential Interoperability:  software Data : define community, share, access, maintain, store, curate, complexity, management
Policy and procedures Software Achieve, Standards Software Interoperability How to measure Index, Potential, Technologies Collaboration software Data, knowledge and tools Maintaining Mining, Metadata Network evolution, Developers First adopters, Cross boundaries, Mechanisms of support Core CI issues Adoption, Deployment, Utilization Data Supporting Identifying Defining Complexity Size, Management Access, Maintenance Sharing, Curation Define community, Collected by SN Advancement of models, users Developers, Colleagues Community, Scope Scaling, Security and Sustainability Mobilization and Development Defining Scope and functionality
Take-homes from each group Community incentives CI development is social process Brokering shared understanding Map the community Must be designed and implemented together Ongoing iterative process It’s all about building trust Community resource management Sustaining, forever
SN4CI Goals Identification of developers/designers Identification of  potential  collaborators Identification of resources: human and technical Using SNA to analysis, management and organisation of our own community Making people aware of their social network Management Research portfolio analysis Bringing SN thinking to CI Influence, diffusion, mobilization, exploration, exploitation, collective actions, network exchange theory, .. What networks are possible, what networks are efficient Maximise development and flow of social capital (ROI in human capital?)
Top SN4CI research questions What ARE the linkages / useful relationships that enable you to identify the relations that help you achieve your goals Metrics and evaluation of network, impact of CI Extending beyond people – “cybercorporations” – human and non-human agents – knowledge networks How to generate trust within CI context Social provenance of information How to engender consensus eg consensus ontologies, emergence, folksonomies IPR, incentives for knowledge sharing, institutional context
Instrumenting the social network to determine influence of contributions Notion of public good, open source,… Using tools to analyse institutional context of research universities  Interventions of technology, co-evolution of technology and network Supporting collaboration, communication Improve approach to Virtual Organisations beyond e.g. GGF  VO = identification, sharing, shared ontology. Current ontology solutions don’t handle evolution, limit expression
Potential Approaches Bringing SN researchers to particular venues of CI implementation Educational venues Specific scientific communities Developer meetings (identifying network of CI-Developers). Integrate SN tools with virtual venues (with explicit consent requests) Identification of cultural concerns within CI community.  Potentially unique from others- Soc. Sci. question
Statement to Congress(?) NSF has developed immense resources to support science research and education, the critical addition that SN provides is a mapping and linkage of those resources to increase accessibility and utilization of these resources by diverse communities + studying the beast that has been created

SN_for_CI

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  • 2.
    Words (usedacross 3 or more groups) Defined: community, scope Identifying: developers, early adopters, mechanism of support Support: developers (recognition), network evolution, advancement of models Maintain: software, data Collaboration: indexed, measured, potential Interoperability: software Data : define community, share, access, maintain, store, curate, complexity, management
  • 3.
    Policy and proceduresSoftware Achieve, Standards Software Interoperability How to measure Index, Potential, Technologies Collaboration software Data, knowledge and tools Maintaining Mining, Metadata Network evolution, Developers First adopters, Cross boundaries, Mechanisms of support Core CI issues Adoption, Deployment, Utilization Data Supporting Identifying Defining Complexity Size, Management Access, Maintenance Sharing, Curation Define community, Collected by SN Advancement of models, users Developers, Colleagues Community, Scope Scaling, Security and Sustainability Mobilization and Development Defining Scope and functionality
  • 4.
    Take-homes from eachgroup Community incentives CI development is social process Brokering shared understanding Map the community Must be designed and implemented together Ongoing iterative process It’s all about building trust Community resource management Sustaining, forever
  • 5.
    SN4CI Goals Identificationof developers/designers Identification of potential collaborators Identification of resources: human and technical Using SNA to analysis, management and organisation of our own community Making people aware of their social network Management Research portfolio analysis Bringing SN thinking to CI Influence, diffusion, mobilization, exploration, exploitation, collective actions, network exchange theory, .. What networks are possible, what networks are efficient Maximise development and flow of social capital (ROI in human capital?)
  • 6.
    Top SN4CI researchquestions What ARE the linkages / useful relationships that enable you to identify the relations that help you achieve your goals Metrics and evaluation of network, impact of CI Extending beyond people – “cybercorporations” – human and non-human agents – knowledge networks How to generate trust within CI context Social provenance of information How to engender consensus eg consensus ontologies, emergence, folksonomies IPR, incentives for knowledge sharing, institutional context
  • 7.
    Instrumenting the socialnetwork to determine influence of contributions Notion of public good, open source,… Using tools to analyse institutional context of research universities Interventions of technology, co-evolution of technology and network Supporting collaboration, communication Improve approach to Virtual Organisations beyond e.g. GGF VO = identification, sharing, shared ontology. Current ontology solutions don’t handle evolution, limit expression
  • 8.
    Potential Approaches BringingSN researchers to particular venues of CI implementation Educational venues Specific scientific communities Developer meetings (identifying network of CI-Developers). Integrate SN tools with virtual venues (with explicit consent requests) Identification of cultural concerns within CI community. Potentially unique from others- Soc. Sci. question
  • 9.
    Statement to Congress(?)NSF has developed immense resources to support science research and education, the critical addition that SN provides is a mapping and linkage of those resources to increase accessibility and utilization of these resources by diverse communities + studying the beast that has been created