Rapid Decision Making

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Just wanted to mention that the "system" that we are moving towards being as a project is really starting to resemble what is described in the PDF attached here.

From summary:

The challenges arise particularly when decision makers are engaged with complex issues involving multiple stakeholders, unanticipated events, ad hoc structures or groups, and uncertain or unstable environments. Among the key challenges that practitioners report are:

Overcoming poor infrastructures

Leveraging expertise

Coping with volatile information dynamics

Catalyzing information sharing

Overcoming mistrust

Parsing signal from noise

Reconciling multiple players and stakeholders

Delineating boundaries of authority

Responding to changes in event status

STRATEGIES Four main strategic domains emerge from the analysis of these challenges in the context of technologies of cooperation and cooperative strategy:

Develop both stocks and flows of information. Among the strategic imperatives here are making a multiple “thin slices,” activating network links with experts and specialists to open up flows; liberating tacit knowledge into network stocks; developing rapid feedback mechanisms from local sources; linking top–down and bottom–up information flows; developing hybrid technology ecologies; and removing constraints on “knowledge bandwidth.”

Cultivate ongoing sense-making cycles. Sense making is enhanced by the technologies and practices of collective intelligence. The strategic guidelines for building collective intelligence include visualizing data to improve pattern recognition; conducting ongoing hypotheses testing; developing multiple online spaces for different kinds of intellectual processes; supporting public cognition; and developing interpretation frameworks using cultural filters.

Identify surrogates for rapid trust to build social capital. Trust is a key currency among distributed decision makers and decision-support experts. Identity and the transitive nature of trust play key roles in developing effective strategies. The guidelines here include developing appropriate social accounting mechanisms; developing real-time

Trust is a key currency among distributed decision makers and decision-support experts.

social accounting tools; developing forms of memory to acculturate newbies; providing diverse opportunities for socialization, determining what the “deep structure” of the team is based on; developing sensitivity to how the social contract emerges; and investing in institutional ways to valuate social capital.

Distribute control to optimize creative freedom. Leadership will become increasingly emergent in decision making supported by cooperative technologies and strategies, changing the mechanisms of control. Several strategic principles serve as guidelines here, including supporting self-election of tasks; facilitating contextual leadership; encouraging mutual monitoring and sanctioning; leveraging long and local tails of innovation; integrating hierarchical and network structures, and thinking in terms of thresholds rather than boundaries.

Self-organizing mesh networks, which support new ways of creating and managing stocks and flows of information, as well as sense making, based on the principle of growth from the edges and a distributed burden of infrastructure

Community computing grids, which model efficient use of resources and solve complex problems Peer production networks, which provide a framework for rapid problem solving and understanding complex phenomena (for our context, P2P storage and computing could become part of the resources and tools that we are able to help people pool and employ --Sam)

Social mobile computing, which builds contextual understanding of problems and dilemmas and fosters group identity (and therefore, trust) in ad hoc situations

Social software, which builds trusted networks and networked knowledge bases to enhance sense making, trust, and emergent leadership.

Social accounting methods, which take advantage of rating, ranking, and referral mechanisms to build trust and provide important management controls and levers for leaders.

Knowledge collectives, which demonstrate structures, rules, and practices for managing knowledge as a collectively created common-pool resource.

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