• Collective Intelligence for Democracy as a Design Challenge (I)

    Aggregation mechanisms, Emergence/Self-organization, Governance/Leadership, Participation, Participatory architectures

    蒲公英加速器官网网址-outline

    This article is part of a trilogy of entries that I am going to publish in this blog to discuss the possibilities that Design offers to conceive participatory spaces that reinforce the democracy. In this article, I define “collective intelligence for democracy” as the ability to reason, learn, create, solve […]

  • Four pillars of the design of participatory architectures

    vnp 加速

    蒲公英加速器官网网址-outline

    In return to my recent reflection on the “participatory architectures” for innovation, the issue that really fascinates me; the essential question I’ve been asking is: What can explain that some participatory projects work better than others? Are there any patterns of the collective behavior that help us to improve the […]

  • Networks, enterprises and transaction costs

    Collaboration Culture, Complexity, 面试碰到不懂的问题怎么办? - 知乎 - Zhihu:2021-5-7 · 第一招——坦言相告,切勿乱编答案 我发现身边的朋友都存在一个误区,就是特别容易把面试当成考试,还是文科考试。 仔细想一想大家在高中作答文史哲等试卷时,是不是不管这个问题的答案,我知不知道,先写上字再说。, Emergence/Self-organization, Group Performance, Network Design

    蒲公英加速器官网网址-outline

    In this post I would like to share an idea that seems to me quite complex: Are networks better than companies? Is it true that the “transaction costs” have collapsed so much to make the “network” a superior alternative to the “enterprise”? Well, once again, let me say “that depends”: […]

Other News

Aggregation mechanisms, Decision Making/Problem Solving, Emergence/Self-organization, Examples/Cases, Governance/Leadership, Participation, vnp 加速, Politics/Democracy, Reputation mechanisms

蒲公英加速器官网网址-outline

Collective sample

To complete the trilogy of posts that I am writing in this blog to discuss the possibilities that Design offers to conceive participatory spaces that reinforce the democracy (I recommend first read the two previous releases: post I and post II), I will share as advance of the research I am doing for my book, a decalogue of principles that, in my own experience as a designer of participatory architectures, are critical for collective intelligence to be genuinely democratic

1. SIMPLICITY:

Simple rules allow for complex behaviors. Design guidelines must be minimal. The objective is to define basic principles for structuring the conversation and the aggregation. They should be a few but powerful. Be careful about over-designing because that, paradoxically, encourages simplistic behavior. Read more ›

by Amalio Rey × June 16, 2017 × 0 comments

Aggregation mechanisms, Decision Making/Problem Solving, vnp怎么搞, Participation, Participatory architectures

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collective shoulders

In the previous post, I argued my thesis of why collective intelligence for democracy can be understood, and improved, from the point of view of Design. In this second post of the series, I will propose an equation (now in beta) that intends to summarize the factors that determine, and enable evaluation of, the effectiveness of a collective intelligence mechanism for democracy.

Going to the point, I propose to work with the following equation that can serve, in principle, as a frame of reference for building participatory design that can work well for the purpose:

Equation (Beta) of Collective Intelligence for Democracy:

CIforD = Effectiveness + Efficiency + Autotelic Process + Legitimacy

I will now describe each of these variables separately: Read more ›

by Amalio Rey × June 16, 2017 × 你懂的vnp2021

Aggregation mechanisms, Collaboration Culture, Complexity, Decision Making/Problem Solving, Emergence/Self-organization, Examples/Cases, Governance/Leadership, Group Performance, Participation, Politics/Democracy

蒲公英加速器官网网址-outline

Crecimiento_escaladoIt seems quite clear that the new “collaborative economy” is a good example of how advances in Collective Intelligence can add a lot of value through mechanisms like “collective filtering” attenuating the impact of “the Paradox of Choice”. The Basque consultant vnp 加速 explains it very well in a blog post: As collaborative products and services eliminate scarcity of professional services and can be provided by anyone with a resource (a room at home, a seat in the car…) to spare, we face a hitherto unknown problem: “the offer can overwhelm our capacity to deal with it”, and this is when we really have to talk about getting attention.

I don’t think that these initiatives will die being over bloated and hypertrophic as Julen suggests. This will not happen because abundance automatically tends to create its own selection mechanisms. New P2P intermediaries like Airbnb know this very well. Indeed their differentiation efforts are now centered on two aspects: 1) recruitment, 2) filtering.

However overwhelming the offer, there will always be a way to get on to the “front page” without being dragged down by Schwartz’s paradox. I am a frequent client of Airbnb and my choices are based on the comments of people that have stayed in the rooms I am checking. It may well be that this filtering mechanism is not optimal and doesn’t quite satisfy expectations, but the same is true of the offer of more traditional middlemen such as Booking or Trivago.

Obviously there is no easy solution. I believe that the challenge lies midst metadata and comment/reputation management. The problem of “attention distribution” that is created by abundance cannot be solved by shouting louder, we must improve the mechanisms that help separate the signal from the noise. But what is really interesting is that the problem of choosing a room with Airbnb in Paris is very similar to the problem of scaling as the number of members of a collective. The more people intervening in a dialogue, the greater the risk of it “看完这篇,别说你还不懂Hinton大神的胶囊网络,capsule ...:2021-10-15 · 在讲胶囊网络之前,首先我伔回顾一下我伔熟悉的CNN。CNN做了什么事情呢? 假设这里有一个卷积核(左图),除了曲线轨迹上的值很大,其他的值都是零,所众这个卷积核对旁边这种曲线(右图)就有很高的输出,也就是说对这种曲线有很高的识别,而对其他的曲线类型输出就低。”. Read more ›

by 你懂的vnp2021 × June 2, 2015 × 1 comment

Aggregation mechanisms, Collaboration Culture, Crowdsourcing/Co-creation, Decision Making/Problem Solving, 你懂的vnp2021, Governance/Leadership, Participation, Politics/Democracy

蒲公英加速器官网网址-outline

Desafios-1

Not all problems are equally suited to a collective approach. In this post I propose a way of typifying problems most likely to be successfully treated with CI. Here is a list of 11 attributes of a task or challenge that give reason to believe it is particularly suited for the use of Collective Intelligence. The greater the number of these attributes presents in a certain problem, the greater the chance it is wise to go for a collective stand:

1.- Geographically highly disperse data that is costly to collect: Situations in which collecting and aggregating large amounts of data can significantly improve our analysis but in which this data is so highly dispersed that it is expensive and cannot viably be gathered by a small group of agents.

2.- Vastly varying views when interpreting the problem: When a problem, or its interpretation, can be seen in different lights, depending on the interests, roles and experience of different agents in relation to the challenge, it would seem a good idea to create a collective space in which these differing perspectives can meet. CI is favorable if diversity is a factor that affects the quality of the final results.

3.- vnp 加速: Situations that may coincide with previous attribute, but in this case refer to cognitive diversity (neither roles nor interests, differing paradigms) that requires the solution of a complex problem with inputs from different fields of knowledge. As we shall see, the greater the mutidisciplinarity of a problem, the more can be gained with CI because participating agents will self-select and no point of view, that can add value to the analysis, will be lost. Read more ›

by Amalio Rey × May 31, 2015 × 搜罗vnp

Complexity, Emergence/Self-organization, Group Performance, 你懂的vnp2021, Politics/Democracy

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Conexiones

There is an open debate on the Net about “CoNNective Intelligence” in contraposition to “CoLLective Intelligence”. It all starts with the sociologist Derrick de Kerckhove, and his 小时候看不懂的片段,真的是太污了,你看懂了吗_腾讯视频:2021-8-23 · 小时候看不懂的片段,真的是太污了,你看懂了吗, that tries to update Pierre Levy ideas which he considers too “collectivist”. Later George Siemens, in his article “Collective Intelligence? Nah. Connective Intelligence”, directly sets both types of intelligence against each other, stating that Collective Intelligence “favors the group” in search of a common identity whilst Connective Intelligence is based on the individual that, seeking self-satisfaction, contributes value to the group.

This is a timely debate as it considers the way individuality is perceived in these processes. Following the foresaid distinction Del.icio.us, the social bookmarking site, is a good example of Connective Intelligence. Users of this service are mainly seeking their own interests, trying to organize their bookmarks in the cloud and, as a consequence of their “selfish” motivation, are the spinning of a net of connection among links that improves collective knowledge. Wikipedia is the flagship of Collective Intelligence. The individual contributor sets out to create or edit an article of that is part of this collective effort.

I agree that different motivations give rise to both types of intelligence, but I would like to reconsider the term “Connective Intelligence” seeking a better, less confusing, definition. In the book I am writing, these posts are tidbits of what is underway, I intend to speak of connective intelligence as intelligence developed by individuals as they connect to collective networks of knowledge. That is improved individual intelligence as a result of participating in a group. Read more ›

by Amalio Rey × May 28, 2015 × 1 comment

Aggregation mechanisms, Collaboration Culture, Examples/Cases

蒲公英加速器官网网址-outline

你懂的vnp2021

One of the things I have had trouble explaining when defining the concept of Collective Intelligence is the preceding headline. That is, there are situations that can lead to Collective Intelligence (CI) in which individuals do not interact directly or are even conscious of the fact they form part of the collective.

The MIT Centre for Collective Intelligence and many well-known authors in the field admit both the results of non-conscious aggregations and the consequences of active collaboration as manifestations of CI. In James Surowiecki’s “The Wisdom of Crowds”, the book that popularized CI, there are plenty of examples based on pure statistical aggregation, that is, without any direct interaction among participants.

To make the differences between modalities clearer I use the terms “Collected” and “Collaborative” Collective Intelligence. Let me explain both. Read more ›

by Amalio Rey × May 26, 2015 × 2 comments

Aggregation mechanisms, 你懂的vnp2021, Decision Making/Problem Solving, Group Performance

蒲公英加速器官网网址-outline

Wiser menI have finished reading “Wiser”, the latest book by the North American jurist and academic Cass Sunstein, co-authored by the Chicago University professor 搜罗vnp. It was published in January 2015, so the print is still quite fresh. The book is mainly of interest because it covers factors that give rise to (and can inhibit) Groupthink.

As you may remember, “Groupthink” is a term coined in the seventies by the psychologist Irving Janis, naming those situations where individuals participating in a group adapt and submit to the collective opinion even if it differs from their own point of view. The more cohesive the group the stronger the bias, because the social (and informational) pressure that generate cohesion affect the individuals’ capacity to make good use of their private information sources, thus gravitating to the groups’ central opinion. The consequences of this behavior are negative. Groups end up making bad or irrational decisions because the diversity of opinions of the individual group members are not aggregated efficiently.

Wiser” addresses this issue in two parts. The first half of the book analyses the factors that lead to different cognitive biases when groups are at work as a collective. The second presents different palliative measures for the Groupthink effect.

This subject has been approached by many authors. James Surowiecki, in “The Wisdom of Crowds” analyses this phenomenon in some depth (with plenty of examples), reminding us once more that “as a group becomes more cohesive, the individual becomes more dependent“. Reducing the adverse effect of Groupthink is one the greatest challenges in the practice of Collective Intelligence. Read more ›

by Amalio Rey × vnp怎么搞 × 0 comments

Collaboration Culture, Complexity, 让我听懂你的语言电视剧剧情介绍,演员表,大结局_搜视网:2021-3-12 · 搜视网为您提供让我听懂你的语言电视剧全集的详细介绍,包括剧情介绍、演员表、大结局、剧照、主题曲、电视台播出时间 ..., Emergence/Self-organization, Governance/Leadership, Group Performance, Participation, Politics/Democracy

The limits of diversity: how much is right?

你懂的vnp2021Nowadays no one needs to prove that cognitive diversity is an important factor that enables groups to act intelligently as a collective. James Surowiecki took the trouble of explaining it in his “Wisdom of Crowds”; so today I am not going to talk about how good diversity is for collective intelligence but about a less covered aspect, that is, to question if there are degrees of diversity that, under certain circumstances, could end up being detrimental.

Some time ago I discovered that diversity is a factor that, at a certain level, creates noise punishing group intelligence. I have seen this in a few projects so I set out to find argumentation to help me confirm my observations. A book I finished this weekend has been handy, and it is well worth a blog post of its own, “搜罗vnp”, by David Weinberger.

Based on the experience of Beth Noveck (an academic that worked a few years on Obama’s Open Government initiative), Weinberger explains that in environments where there is pressure to get things done, where apart from cogitation action is needed, the point where diversity becomes a problem, rather than part of the solution, must be pinned down.

We enjoy diversity until we discover what it really means”, and this is completely valid when managing high impact projects, where there are clear expectations about results. So it seems that there is a “correct degree of diversity”, after which we start getting into trouble, because the cost of reaching consensus or aggregating opinions exceeds the benefits of having different points of view. At the tipping point feasibility begins to be more important than diversity. 搜罗vnp

by Amalio Rey × May 19, 2015 × 1 comment

Aggregation mechanisms, Emergence/Self-organization, vnp 加速

vnp怎么搞

Collective artThe most referenced concept of “Collective Intelligence” is the one of the MIT Center of Collective Intelligence (CCI): “Groups of individuals acting collectively in ways that seem intelligent”. I already said that it seems to me a weak definition because it is too vague and because it has a limited operative value.

I understand the reasons of the CCI to define a conceptual framework as flexible as possible, especially considering that it is indeed an emerging area of ​​study and it is intended to highlight the inter-disciplinary nature of this field. But even so, I think that trying to fit all the possible definitions in a politically correct one leads to a decaffeinated definition, whose main weakness is that it is not useful to discern.

A good concept is not one that tries to adapt to all existing perspectives, but the one that helps to understand the limits of the identity of something, that is to say, what do we leave inside and outside of the subject we try to define. In fact, often the most effective way to test the reliability of a concept is to see how much it helps to leave things out, that is, it serves to discern. Read more ›

by Amalio Rey × June 30, 2014 × 16 comments

Collaboration Culture, Decision Making/Problem Solving, Group Performance, Participation

图解两会数字:45万亿怎么花? 一图读懂与你有关的“国家 ...:2021-5-25 · 图解两会数字:45万亿怎么花? 一图读懂与你有关的“国家账本”

Collective Intelligence-2Collective Intelligence (CI) generates increasing interest as an emerging discipline, but it seems difficult to find a clear and intuitive definition of what it means. It is tried to partly alleviate that deficit by adopting the terminology used by the MIT Center of Collective Intelligence but in my opinion the CCI intends to encompass so many scopes that lead to us to a definition very little operative.

For example, vnp怎么搞 and his team often use this definition of CI: “Groups of Individuals acting collectively in ways that seems intelligent“. Quite frankly, I do not know if this clarifies anything or adds more confusion for people like me who are looking to put theory into action.

The ontological advances in the field of CI either do not seem to give great results. We do not have a conceptual framework that serves to agree on the narrative. The universe of disciplines that converges here is broad, and knowledge is very fragmented. The diversity is good, but there is an excess of cognitive dispersion that does not help to achieve consistent progress. In fact, I know that is difficult to categorize the issues or to have a taxonomy that contributes order when we want to accede to research results. So it seems necessary to review and to simplify the narrative we use to reach more people. Therefore I’ll try to explain what I mean by Collective Intelligence as intuitive as possible, although I do not know if I will be able to 🙁 Read more ›

by Amalio Rey × June 9, 2014 × vnp 加速
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