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The Wisdom Stack

The #WisdomStack contains the essential elements for what the Collective Intelligence Collaboratory calls a rapid learning network:

A decentralized, interoperable network with a minimal viable upward spiral getting better and smarter over time. ��

Watch the full, 30-minute video.

Plus, here is a new group video discussing “HashBins” — see Slide 21.

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Introduction

A variety of groups have been working on different aspects of collective intelligence; the Wisdom Stack is an attempt to synthesize this information in understandable language that make it accessible to ordinary people and give us a mental model for how these interlocking parts work together in a complex adaptive system. In other words, we are attempting to put together the scattered puzzle pieces into a clear picture of a smart network of the future. ��This is meant to be a group project; please feel free to add slides and make comments. �

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Decision Making

This is perhaps the most important element of a well-functioning network.

  • How does the collective make decisions (the most important usually being how to spend the budget)?
  • How are proposals made and/or decided upon?
  • How are the network participants polled?
  • How do we present and decide arguments?

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Risk Assessment


In a decentralized environment, there are a lot of designs that are hard for ordinary people to evaluate (such as decentralized organizations, currencies, open source designs). Risk assessment lets potential investors know what kind of exposure they could be encountering. ��Risk assessment involves evidenced-based evaluation of privacy, security, and conflict resolution. �

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Conflict Resolution

This is a critical factor in an interoperable network. Where data is flowing between different applications/companies, that’s where conflict will probably occur.

  • How do we choose the conflicts to resolve? Money issues, defamation of character, racial slurs?
  • How do we lay out the facts or evidence?
  • How do we communicate the resolution?
  • How do we learn from the conflict and change the network so it gets smarter?

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Knowledge Repository

This should include:

  • Meeting notes
  • Details about events
  • History of past proposals
  • Conflicts that occurred and how they were resolved.
  • List of protocols, tools and platforms the network uses, including reasons why
  • List of failed attempts

If someone comes into the network later, they will understand what happened before them. An effective knowledge repository is critical to making a network that grows smarter with each mistake made.

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Crap Detection

A network needs to have a list of criteria to assess risk of negative patterns, including bullying, harassment, and/or scams. ��To whom and how do people report negative patterns, and what happens then? What is the conflict resolution process? ��Always assume that people will game the system. Anticipate issues in advance, such as trolls or sybil attacks.

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Pattern Language

This is a great way to gather recipes for either success or failure in various contexts, and spread those learnings throughout the network. ��People can follow recipes, and also be creative and change them to better fit their local communities. The recipe carries deep knowledge but also allows for ingenuity.

Pattern language leverages the knowledge repository and learning network into something actionable. It also represents the members’ collective intention to bring the patterns to life.

Patterns are simple, and can be nested into larger patterns.

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Network Weaving

In an era where people are talking less about “knowledge management” and more about “knowledge gardening,” network weaving is an underrecognized and unacknowledged craft.��It involves the cross-pollination of groups that aren’t communicating. Cross-pollinators, or social connectors, make the network more diverse and interdisciplinary. Effective network weaving increases the IQ of the entire knowledge ecosystem.

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Metrics

If we want our network to get continuously smarter, this intelligence needs to be measured. Which #metrics are needed, and feasible?

In an innovation network, we need to feel the courage to try new things and risk failure. We should be able to feel okay about being vulnerable, safe and protected in sharing ideas or stories in a space of open learning. How can we measure these kinds of qualities?

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Incentive Design

#IncentiveDesign is increasingly important in network design. ��People making major decisions must have “skin in the game”, i.e. a significant stake in the network as a whole doing well.

Thus we need incentives to make good decisions, help each other out, pay attention and stay engaged, and participate in making and voting on proposals and general upkeep.

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Deep Profiles

The purpose of Deep Profiles is to better match people — and our projects and organizations — to other people, projects, and organizations offering a high level of “soul resonance”.

Deep Profiles capture perspectives of others in the network about the person being profiled, inviting and supporting everyone to show up as our “full selves”. ��#DeepProfiles help us to express our true purpose and passions, rather than limiting us to past work experience.

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Matching

This is what makes a continually wiser network: The ability to better match us to friends, colleagues, projects and organizations we really resonate with. ��#Matching is facilitated at CICOLAB by cultivating Deep Profiles and HashBins.

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Onboarding

As a network, we aim to communicate in language that is understandable and accessible.

Then, new people can feel properly oriented and guided, have a good sense of where in the network they are supposed to be and go, and know how and where to find the resources they need. Effective #onboarding is commonly absent or deficient in peered technology environments.

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Modularity

Modularity lets us easily build things as if we were playing with Legos:

The prongs on one side and holes on the other allow us to make millions of structures with a box of Legos, structures we can share with the community.

#Modularity allows us to build toolkits and follow recipes or patterns. Anyone can make their own Lego sets..

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Interoperability

Interoperability allows organizations or applications in a network to work together — ‘play nice’ with each other — so data can flow easily enough from one into another, giving us more choices in exporting our information. ��#Interoperability promotes freer data exchange and creates a plug-and-play environment conducive to co-creating, co-learning, communicating and collaborating.

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Breadcrumbs

Breadcrumbs are little signs that we can leave in specific places to inform people who come later about what has already been done, so they can pick up where we left off.

This is the “technology” behind the intelligence termites use to build incredibly advanced architectural structures.

#Breadcrumbs allow for more advanced signalling in the network.

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Basket of Currencies

#Currencies are not all the same. Different currencies incentivize people to do different things, offering advantages to networks embraces multiple currencies.

Tokens encourage investment and hoarding, while high-velocity currencies promote more trading. We can also have tipping currencies, to signal who is doing what in a network.

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Signalling

In a marketplace, sometimes the only significant signal is price, leaving a race to the bottom as companies try to offer the cheapest products. ��Increasing the rate and dimensionality of signalling augments our expressive capacity to indicate how we feel about other people, projects, organizations and companies.

Ideally, #signalling provides rich information and can also be used (as with breadcrumbs) to leave messages for people who follow, to let them know the status of a given project or situation.

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Innovation Diffusion

#InnovationDiffusion involves:

(a) figuring out how to disseminate solutions;

(b) making them more memetic and memorable; and

(c) finding organizations willing to experiment with new ideas.

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HashBins

The HashBin, central component of the CICOLAB HashVerse, is a dynamic basket to hold ideas (in the form of hashtags), projects, organizations, Deep Profiles, network connections, and resources of various kinds.

The #HashBin is an emergent CICOLAB technology expressed in a variety of software platforms, designed to facilitate onboarding, connectivity, interoperability, discoverability and disambiguation in our network.

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Conclusion

We have discussed the facets of a Rapid Learning Network, which gets progressively, exponentially wiser as it evolves.

Do you have other ideas about essential elements of a #rapidlearningnetwork?

Email us at CollectiveIntelligenceColab@gmail.com