Risk II: Difference between revisions
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{{Risk II}} | {{Risk II}} | ||
organized by '''John Rundle''' (University of California, Davis; SFI External Professor) | |||
'''Abstract'''.<br> | |||
The Santa Fe Institute Risk Working Group is a new activity at SFI that seeks to leverage the deep understanding of complex systems across a wide variety of fields to understand the meaning of risk in a variety of contexts. The group seeks to define the problem from a fundamental perspective, including to: | |||
• Define risk in a variety of complex systems<br> | |||
• Collect and catalog observational risk data<br> | |||
• Identify common features<br> | |||
• Quantify: Metrics and statistics<br> | |||
• Model risk with numerical simulations<br> | |||
• Measuring predictive capacity?<br> | |||
• Mitigate risk: The decision process<br> | |||
• Manage risk: Strategies and approaches to controlling exposure<br> | |||
• Role of eScience: Web, crowd-sourcing, social networking<br> | |||
• Big data needs and constraints | |||
Areas of application of the basic ideas will include (but are not limited to): | |||
• Economics/Finance/Systemic Collapse (Eurozone?)<br> | |||
• Natural Catastrophes (Earthquakes, Hurricanes/Typhoons/Floods/Wildfire/Climate…)<br> | |||
• Entrepreneurial/Commercial/Management/Marketing (variety of ways)<br> | |||
• Political/Country Risk; State instability/fragility<br> | |||
• Technology/Internet (Operational and/or Security)/Software/Hardware<br> | |||
• Ecological/Biological/Environmental<br> | |||
• Societal Dynamics/Psychological<br> | |||
• Models/Phase Transitions/Simulations/Agent Based/Network<br> | |||
• Role of: Feedback Loops/Coherent Structures/Phase Locking<br> | |||
• Crosscurrents/Intersections/Cascades/Interactions | |||
Latest revision as of 21:05, 17 April 2013
| Working Group Navigation |
organized by John Rundle (University of California, Davis; SFI External Professor)
Abstract.
The Santa Fe Institute Risk Working Group is a new activity at SFI that seeks to leverage the deep understanding of complex systems across a wide variety of fields to understand the meaning of risk in a variety of contexts. The group seeks to define the problem from a fundamental perspective, including to:
• Define risk in a variety of complex systems
• Collect and catalog observational risk data
• Identify common features
• Quantify: Metrics and statistics
• Model risk with numerical simulations
• Measuring predictive capacity?
• Mitigate risk: The decision process
• Manage risk: Strategies and approaches to controlling exposure
• Role of eScience: Web, crowd-sourcing, social networking
• Big data needs and constraints
Areas of application of the basic ideas will include (but are not limited to):
• Economics/Finance/Systemic Collapse (Eurozone?)
• Natural Catastrophes (Earthquakes, Hurricanes/Typhoons/Floods/Wildfire/Climate…)
• Entrepreneurial/Commercial/Management/Marketing (variety of ways)
• Political/Country Risk; State instability/fragility
• Technology/Internet (Operational and/or Security)/Software/Hardware
• Ecological/Biological/Environmental
• Societal Dynamics/Psychological
• Models/Phase Transitions/Simulations/Agent Based/Network
• Role of: Feedback Loops/Coherent Structures/Phase Locking
• Crosscurrents/Intersections/Cascades/Interactions