complex adaptive systems framework to evaluate virtual research collaborations
DESCRIPTION
Complex Adaptive Systems Framework to Evaluate Virtual Research Collaborations. Arsev U. Aydinoglu NASA Postdoctoral Program Fellow NASA Astrobiology Institute [email protected]. Agenda. Traditional vs. Virtual Research Collaborations (VRC) Complex Adaptive Systems (CAS) - PowerPoint PPT PresentationTRANSCRIPT
Complex Adaptive Systems Framework to
Evaluate Virtual Research Collaborations
Complex Adaptive Systems Framework to
Evaluate Virtual Research Collaborations
Arsev U. AydinogluNASA Postdoctoral Program Fellow
NASA Astrobiology [email protected]
AgendaAgenda
• Traditional vs. Virtual Research Collaborations (VRC)
• Complex Adaptive Systems (CAS)• Application of CAS framework to
VRCs• Conclusion
Traditional vs. Virtual Collaboration
Traditional vs. Virtual Collaboration
• Localized
• Top-down
• Face-to-facecommunication
• Structured, rigid
• Distributed
• Bottom-up (but not leaderless)
• Heavy use of Information and Communication Technology
• Fluid, flexible, adaptive
• More disciplines, institutions, people
Complex Adaptive SystemsComplex Adaptive Systems
• catastrophe• autopoiesis• chaos• dissipative structures• autocatalyctic process• attractors• multi-agent systems• thresholds and transformational processes• fractal geometry• fuzzy logic• systems theory
Complex Adaptive Systems FrameworkComplex Adaptive Systems Framework
Thietart & Forgues (1995)
Anderson (1999)
Mittleton-Kelly (2003)
Benbya & McKelvey
(2006)
Components x x
Diversity x
Interaction & interdependence
x x x
Feedback X x x
Far from equilibrium
x x
Self-organization & emergence
x x x x
Adaptation x x
Co-evolution x
Large number of components/agentsLarge number of components/agents
NASA Astrobiology Institute, 2011
Emergence & Self OrganizationEmergence & Self Organization
• Publications• Relationships• Grant proposals• New projects• WGs• Roles• Tasks• RQs• Others
Adaptation to environment/context – Learning – Pattern recognition
Adaptation to environment/context – Learning – Pattern recognition
• DataONE Working Group structure
• Superconducting Super Collider
• Sandbox by NSF
Virtual Collaboration
Virtual Collaboration
• Distributed
• Bottom-up
• Heavy use of Information & Communication Technology
• Fluid, flexible, adaptive
• More
• Components
• Emergence
• Interaction, feedback, coevolution
• Far from equilibrium, adaptation, coevolution
• Diversity, interdependence
CAS framework
CAS framework
Successful VRCsSuccessful VRCs
• Team composition• Leadership• Organizational structure• Environment• Co-evolution
Information Technology Working Group
Information Technology Working Group
• Composed of IT enthusiasts from each team across both institutes
• Meets virtually• Share lessons learned and knowledge• Test hardware, software and integration• Promote local adoption of technology and
participation• Immersed and tightly integrated with the
community
Why traditional might have failed?Why traditional might have failed?
• The challenge vs. available resources
• Know-all vs. power of the masses• Geeks vs. Social Scientists• Funding environment• External & internal changes