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Augmented Collective Intelligence
Technology enables all of us to know more than any of us
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Kasparov versus the World | Michael Nielsen

Kasparov versus the World | Michael Nielsen | Augmented Collective Intelligence | Scoop.it

"Kasparov versus the World is a fascinating case study in the power of collective collaboration. Most encouragingly for us, Kasparov versus the World provides convincing evidence that large groups of people acting in concert can solve creative problems well beyond the reach of any of them alone.

More practically, Kasparov versus the World suggests the value of providing centralized repositories of information which can serve as reference points for decision making and for the allocation of effort. Krush’s analysis tree was critical to the co-ordination of the World Team. It prevented duplication of effort on the part of the World Team, who didn’t have to chase down lines of play known to be poor, and acted as a reference point for discussion, for further analysis, and for voting.

Finally, Kasparov versus the World suggests the value of facilitators who act to channel community opinion. These people must have the respect of the community, but they need not be the strongest individual contributor. If such facilitators are flexible and responsive (without being submissive), they can co-ordinate and focus community opinion, and so build a whole stronger than any of its parts."

Howard Rheingold's insight:

One of the case histories that ended up in Michael Nielsen's (highly recommended!) book, Reinventing DIscovery, is of the match between World Chess Champion Garry Kasparov and a worldwide community of  volunteers, none of whom was near Kasparov's level, but who nearly beat him. Key to this case history and to the entire book is Nielsen's ability to tease out the technological and social factors that enabled this ad-hoc collective intelligence to function at such a high level -- key factors that distinguish augmented collective intelligence from raw crowdsourcing or "wisdom of the crowd" aggregation.

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Three types of KM | Harold Jarche

Three types of KM | Harold Jarche | Augmented Collective Intelligence | Scoop.it

"PKM is what individuals practice in order to fully participate in Little KM. I would say that PKM is the most important to keep organizational learning alive. Individuals who are actively engaged in their sense-making will likely be more participative in Little KM, and their sharing (as in Seek-Sense-Share) will contribute to Big KM. Imagine an organization where everyone blogs professionally. It would be very easy for an organizational curator to weave together the narrative threads from all employees, thus feeding into a Big KM system."

Howard Rheingold's insight:

Harold Jarche knows his stuff. "Knowledge management" has a bad name in some quarters because it was misused to hype clunky software that nobody wanted to use. Yet KM is an essential description of what organizations, networks, institutions, communities do well or badly, and PKM -- personal knowledge management -- is one of the most essential practices for those who want to learn how to swim, not just how to keep from drowning in the info-flood. Imagine a group in which everyone blogs every day about what they are learning, everyone subscribes to the blogs that interest them and a random couple that are automatically thrown into their feed dashboard, and everyone likes, favorites, comments. Collective intelligence might not automatically emerge, but smart facilitation and tuning of such a process could pay off.

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Ralph Poole's curator insight, September 5, 2013 10:26 AM

I agree with Harold's  definitions of knowledge suppliers and knoweldge users.  This is very helpful as I apply these concepts to Six Sigma problem solving.   In a SIPOC, you map the suppliers and customers (users) in each process step. In knowledge intensive processes the inputs and outputs of a process are knowledge represented in the artifacts produced during the process.  In most cases people talk to each other as they hand off content making ensuring a rich exchange of experience.

roberto gilli's curator insight, September 18, 2013 12:54 AM

KM is related to talking objects and talking places. When an object (or a place) is designed to dialogue with the user you have to creare a Knowledge Base. Design a dialogue is always a build-observe-change feedback loop.

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Collective Intelligence 2014

"This interdisciplinary conference seeks to bring together researchers from a variety of fields relevant to understanding and designing collective intelligence of many types."

Howard Rheingold's insight:

The conference, scheduled for June, 2014, is chaired by people who know what they are doing -- Thomas Malone, Duncan Watts -- and the program committee is similarly savvy, including Lada Adamic, Chris Chabris, Beth Noveck, Scott Page, and Paul Resnich -- all of whom I personally know to be knowledgeable scientists in a field that increasingly draws not-so-knowledgeable spokespeople.

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mtmeme's curator insight, August 21, 2013 9:04 AM

Hope they have a webcast!

Leah Lesley Christensen's comment, August 31, 2013 6:15 PM
hmm yet another way to make more human guineau pigs ?
Yannick Michel's curator insight, December 28, 2013 7:44 AM

Avec un peux avance pour pouvoir s'organiser ��

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When decisions are tough, it pays to think as a colony - Ars Technica

When decisions are tough, it pays to think as a colony - Ars Technica | Augmented Collective Intelligence | Scoop.it
When decisions are tough, it pays to think as a colony
Ars Technica
Additionally, living among many other conspecifics enables collective decision-making.
Howard Rheingold's insight:

Humans have brains, where the brain of a social insect colony is the colony itself, coordinated through pheromone trails and other stigmergic signalling. For that reason, it's important to view collective intelligence data from social insects critically when extrapolating to humans. However, if any mechanisms of collective intelligence in non-intelligent organisms augmented through chemical trails can be extrapolated to collective intelligence among humans using language, artifacts, methodology, and training (c.f., Douglas Engelbart), the knowledge could improve the design of augmented social cognition systems.

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Carsten Storgaard's curator insight, August 9, 2013 1:15 PM

We ARE smarter than me!

Ingrid Larik's curator insight, August 10, 2013 12:08 AM

1 + 1 = 3 - complexe problemen vragen om een systemische aanpak én collectieve wijsheid (en dat stata niet gelijk aan groepsdenken als dusdanig) vanuit co-creatie

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Creativity, uncertainty and sense-making | Harold Jarche

Creativity, uncertainty and sense-making | Harold Jarche | Augmented Collective Intelligence | Scoop.it
Howard Rheingold's insight:

I follow Harold Jarche's astute insights into personal knowledge management. This brief collection of principles and a few links point to the social rather than the technological side of collective intelligence -- the process of sense-making that a group of people needs to practice in order to become an effective collective intelligence.

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The First Ever Spam Filter for Disaster Response

The First Ever Spam Filter for Disaster Response | Augmented Collective Intelligence | Scoop.it

This is where spam filters come in. The DHN often needs support to quickly tag these pictures (which may number in the tens of thousands). Adding a spam filter that requires email users to tag which image captures disaster damage not only helps OCHA and other organizations carry out a rapid damage assessment, but also increases the security of email systems at the same time

Howard Rheingold's insight:

Citizen response in the immediate aftermath of a disaster, through texts, tweets, videos, photos, sometimes geotagged, can be aggregated quickly to provide a kind of instant collective intelligence report about conditions -- natural, social, political. Badinfo is a danger, and so is fuzzy info. Adding a requirement for tagging in a specific way can increase the signal to noise ratio.

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Warren Karlenzig - Collective Intelligence: Cities as Global Sustainability Platform - TEDxMission

"Social media and collaborative technologies--layered with smart systems combining geo-location data with human experience--will make cities the driving sustainability force in a dawning planetary era. Cities will anticipate new risks with rapid urban systems innovation based upon crowdsourcing, virtual and physical communities, and transparent markets sensitive to full carbon and resource costs. Creatively leveraging collective intelligence for clean energy, low carbon mobility and sustainable food and water, the new urban grid will enable high local quality of life, lifelong learning and vibrant green economies."

Howard Rheingold's insight:

A TedX talk. It's good to be wary of solutionism in regard to solving social problems, but neither is it wise to rely on antiquated bureaucracies (alone) or private enterprise (alone) to tackle some of the real problems (and  unlock some of the real opportunities) of urbanization.

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Guillermo Cerceau's comment, August 19, 2013 3:30 PM
I feel that the lecture leaves out all matters related to political power, precisely THE issue of cities and collaboration, I mean, that is what the "polis" of politics means.
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Information Verification During Natural Disasters

Howard Rheingold's insight:

The slide deck on Verily, the crowdsourced social media crap detection tool discussed by Patrick Meier in my previous Scoop.

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Collective IQ - Doug Engelbart Institute

Collective IQ - Doug Engelbart Institute | Augmented Collective Intelligence | Scoop.it

"In Doug Engelbart's words, Collective IQ is a measure of how well people can work on important problems and opportunities collectively – how quickly and intelligently they can anticipate or respond to a situation, leveraging their collective perception, memory, insight, planning, reasoning, foresight, and experience into applicable knowledge. Collective IQ is ultimately a measure of effectiveness. It's also a measure of how effective they are at tackling the complex, urgent problem of how to raise their Collective IQ to the highest potential, so they will be that much more effective at solving complex, urgent problems. As the rate and scale of change around the world increases exponentially, so must our collective ability to dramatically increase our Collective IQ to stay ahead of the curve and thrive."

Howard Rheingold's insight:

The ideas of perhaps the greatest pioneer and innovator in the field of augmented collective intelligence, the late Douglas Engelbart, should not be forgotten -- and they ought to be mined by today's students, researchers, and designers, for insights that have yet to be successfully implemented.

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Muriel Flanagan's curator insight, July 23, 2013 5:48 AM

Engelbart's Collective IQ should resonate with all of us who are interdependant in our workflows - and that means all of us.  Individuals need to be able to work as effectively as possible with others, as that allows for leveraging the collective intelligence.  As important as individualism is, one cannot underscore the power and importance of collaborating to the most appropriate conclusion in an increasingly fast-paced world.

Marilyn Korhonen's curator insight, July 23, 2013 6:42 AM
Interesting concept. This is definitely relevant to collaborative research.
Jan Schwartz's curator insight, July 23, 2013 7:40 AM

Not necessary about technology, but certainly about education.  Thanks to Howard Reingold for the scoop.

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Framework For Knowledge Creation

Strategies for systematic knowledge creation through organizations and networks.
Howard Rheingold's insight:

There's a lot of hocus pocus about collaborative knowledge creation out there, but this makes sense to me -- loops of individual sensemaking, socializing, collective sensemaking, individual reflection and reconceptualization. Related to Engelbart's bootstrapping.

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LETP's curator insight, July 21, 2013 9:54 PM

Understanding Knowledge Creation

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Spundge: Collaborative Content Curation for Teams - Marketing Technology Blog

Spundge: Collaborative Content Curation for Teams - Marketing Technology Blog | Augmented Collective Intelligence | Scoop.it
Spundge makes it easy to track the best information, distill knowledge, form compelling ideas, and create influential content. They have both a free version and a professional version of their platform.
Howard Rheingold's insight:

I have not yet tried this, but collaborative curation is a lightweight way for teams to practice collective intelligence activities.

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Helena Andrade Mendonça's curator insight, July 15, 2013 10:12 AM

Estou começando a testar agora. Pelo vídeo parece bem bacana, com um espaço de criação de conteúdo, como o storify e um visual parecido com o scoop.it.

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The nature of collective intelligence

The nature of collective intelligence | Augmented Collective Intelligence | Scoop.it

Digital data stem from our own personal and social cognitive processes and thus express them in one way or another. But we still don’t have any scientific tools to make sense of the data flows produced by online creative conversations at the scale of the digital medium as a whole.


Via Ucka Ludovic Ilolo
Howard Rheingold's insight:

Levy presents his ideas about the way human communications and digital media create platforms for augmented collective intelligence.

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Liliane Clavel Pardo's curator insight, June 16, 2013 3:11 AM

J'adore les articles selectionnés par cet internaute...

Erika Harrison's curator insight, July 17, 2013 8:17 PM

Levy on how human communications and digital media create platforms for augmented collective intelligence.

Klaus Meschede's curator insight, July 21, 2013 12:24 PM

Vortrag 2010, immer noch interessant

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Hip-hip-Hadoop: Data mining for science

Hip-hip-Hadoop: Data mining for science | Augmented Collective Intelligence | Scoop.it

The model of distributed calculations, where a problem is broken down into distinct parts that can be solved individually on a computer and then recombined, has been around for decades. But when Google developed the MapReduce algorithm, it added a distinct wrinkle to this method of distributed computing and opened new doors for commercial and scientific endeavors.

Read more at: http://phys.org/news/2013-05-hip-hip-hadoop-science.html#jCphttp://phys.org/news/2013-05-hip-hip-hadoop-science.html

Howard Rheingold's insight:

Distributed computation and big data meets collective intelligence. Expect this hybrid to develop.

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luiy's curator insight, May 29, 2013 4:22 AM

But when Google developed the MapReduce algorithm, it added a distinct wrinkle to this method of distributed computing and opened new doors for commercial and scientific endeavors.

Apache Hadoop is an open-source software framework that evolved from Google's MapReduce algorithm. Many Internet giants—Facebook, Yahoo, eBay, Twitter—rely on Hadoop to crunch data across thousands of computer servers in order to quickly identify and serve customized data to consumers.


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Training Data Scientists

Deploying a new cluster with important, but largely untested technology for scientists is a great first step. But you also have to identify and build a community to take advantage of these emerging tools. TACC has been a leader in education and outreach to the public, offering training, tutorials and university-level instruction on Hadoop as it relates to high-performance parallel computing.

In Fall 2011 and 2012, Xu introduced Hadoop to students in the Visualization and Data Analysis course he co-teaches in the Division of Statistics and Scientific Computing at the university. In addition, Baldridge and Lease jointly designed a new course, "Data-Intensive Computing for Text Analysis," which was offered in Fall 2011, that involved significant use of TACC's Hadoop resources. Interestingly, the course attracted a multi-disciplinary group with 16 computer science students, four iSchool students, three linguistics students, and two electrical and computer engineering students.

At the end of May 2013, Xu will chair a workshop on Benchmarks, Performance Optimization, and Emerging Hardware of Big Data Systems and Applications in conjunction with 2013 IEEE International Conference on Big Data.

Which of the host of new heterogeneous hardware and software technologies available for high-performance clusters are best suited for data-intensive applications? And how can HPC systems be optimally designed to solve big data problems? These are the questions that TACC's Hadoop R&D seeks to answer.



Read more at: http://phys.org/news/2013-05-hip-hip-hadoop-science.html#jCp

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Should we share the ideas we don’t fund so they could benefit from the collective intelligence?

Should we share the ideas we don’t fund so they could benefit from the collective intelligence? | Augmented Collective Intelligence | Scoop.it

"In other words: Let’s say someone submits an idea to Pioneer and it’s not a good fit for us, for whatever reason. What if that idea were posted on our website, where a community of researchers, practitioners and the other highly creative and intelligent members of our network could view it? What if someone connected the dots between an applicant’s idea and another project underway somewhere – and what if that yielded a partnership that helped bring the idea to fruition? What if someone had feedback or a question about the idea that helped the applicant sharpen the project’s focus, or see its potential in a new light?


Of course, there would be challenges, and plenty of questions to answer before we could proceed in such manner. I explored some of these questions with Drs. Kevin Volpp and David Asch, co-directors of the Foundation’s Behavioral Economics Initiative at the University of Pennsylvania, in the first episode of the Pioneering Ideas podcast (listen here at 4:35)."

Howard Rheingold's insight:

Foundation funding looks at collective intelligence. That is, not just crowdsourcing the projects that aren't chosen for foundation funding, but engaging in conversation with communities about them.

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Rim Riahi's curator insight, September 4, 2013 11:28 PM
Let’s say someone submits an idea to Pioneer and it’s not a good fit for us, for whatever reason. What if that idea were posted on our website, where a community of researchers, practitioners and the other highly creative and intelligent members of our network could view it? What if someone connected the dots between an applicant’s idea and another project underway somewhere – and what if that yielded a partnership that helped bring the idea to fruition? What if someone had feedback or a question about the idea that helped the applicant sharpen the project’s focus, or see its potential in a new light?
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James Fowler on the Power of Social Networks - Science Rockstars

James Fowler on the Power of Social Networks - Science Rockstars | Augmented Collective Intelligence | Scoop.it

"Your book Connected has introduced me to the science behind our social networks. It is a mind opening book. I even made my wife read it (and she loved it). After that, people like Duncan Watts and Sinan Aral also did a great job in pushing the science of social networks further and at the same time popularizing it.


For those who are not familiar with your work, what are the main insights you gained on networks, and why should businesses bother themselves with these insights?'

Howard Rheingold's insight:

Augmented Collective Intelligence always involves a technology component and a human social component. Digital media such as personal computers and smartphones can augment the ability of individuals to think, problem-solve, and communicate. At the same time, digital networks enable people to form new kinds of publics and to work together in ways not previously practical or possible. A key to understanding the way augmented collective intelligence can emerge or even be instigated is an understanding of the way human social networks work.

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Keith Hamon's curator insight, August 24, 2013 6:35 AM

All the cool stuff is on the boundaries in between. Always has been.

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'Herd effect' skews online rating systems, study finds

'Herd effect' skews online rating systems, study finds | Augmented Collective Intelligence | Scoop.it
People's tendency to 'like' what others like online may distort user ratings for comments, articles or products
Howard Rheingold's insight:

If you consider the aggregation of "likes," "pluses," "up-voting" and "down-voting" to be useful means of aggregating collective opinion online (do you choose your restaurants via Yelp reviews or your books via Amazon reviews?), a recent study injects a cautionary note. This Guardian article is a good summary of the original research, reported in the journal Science ( http://dx.doi.org/10.1126/science.1240466 ; ), which is behind a paywall if you aren't a subscriber.

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Sensemaking artifacts « Connectivism

Sensemaking artifacts « Connectivism | Augmented Collective Intelligence | Scoop.it

"Through joint processes of sensemaking and wayfinding – see presentation below – learners begin exploring and negotiating the domain of knowledge. In the process, they produce artifacts, such as the images posted above. Artifacts can include a blog post, an image, a video, a podcast, a live performance – basically anything that allows an individual to express how they’ve come to understand something."

Howard Rheingold's insight:

As an educator who tries to use social media in conjunction with student-centered, collaborative, inquiry-based pedagogy, I'm interested in collective sensemaking -- which also happens to be an essential non-technological element of collective intelligence. George Siemens, who was one of the creators of the first MOOCs, wrote this insightful piece about the digital artifacts that individuals use in concert with others in the collective sensemaking involved in learning. It applies to collective intelligence as well.

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Kasparov versus the World | Michael Nielsen

"Kasparov versus the World is a fascinating case study in the power of collective collaboration. Most encouragingly for us, Kasparov versus the World provides convincing evidence that large groups of people acting in concert can solve creative problems well beyond the reach of any of them alone."

Howard Rheingold's insight:

When world chess champion Garry Kasparov challenged the world to a match and nearly lost, the power of augmented collective intelligence was demonstrated -- a community of thousands of chess players, linked by Internet communication fora and armed with a system to vote up suggested views, performed at a level beyond that of any of the individual participants -- as well-described in Michael Nielsen's highly recommended book "Reinventing Discovery." It wasn't just the networking, or just the skill level of the players, or just the system for deciding on moves, but a combination of all these factors.

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Is human super-intelligence a bad idea?

Is human super-intelligence a bad idea? | Augmented Collective Intelligence | Scoop.it
Advocates of human enhancement often say that we ought to increase our intelligence as a species. But the consequences of actually doing this have never fully been explored.
Howard Rheingold's insight:

Ever since I read Joseph Weizenbaum's prophetic warnings in "Computing Power and Human Reason" that computers are vastly multiplying the power of only one aspect of what most agree is "human," I have tempered my enthusiasm for mind-amplifiers with regular reflection on the potential shadow side.  It pays to regularly question the biggest goals of one's enterprise,whatever it may be but especially with regard to designing powerful new technologies and to reflect on which part is the means and which part is the end, so I paid attention to this critique of the idea of enhancing intelligence in the IQ sense. The critique is not about enhancing collective intelligence, but I recommend that other enthusiasts for augmented social cognition look at the possible future of that enterprise through the lens of this critique. I particularly take pause at the author George Dvorsky's suggesntion that "the biggest bang for the buck would be to concentrate on happiness." That's a hard argument to attack!

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Douglas Engelbart’s Unfinished Revolution | MIT Technology Review

Douglas Engelbart’s Unfinished Revolution | MIT Technology Review | Augmented Collective Intelligence | Scoop.it
The pioneering Doug Engelbart invented things that transformed computing, but he also intended them to transform humans.
Howard Rheingold's insight:

I admit to Scooping an article that I wrote, but it's worthy of the attention of anyone interest in augmented collective intelligence -- a field that Engelbart and his team invented long, long, ago (the 1960s!) The links are good for those who have not yet read his 1963 paper, Vannevar Bush's article, or seen "the mother of all demos."

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TEDx: Using Crowdsourcing to Verify Social Media for Disaster Response

TEDx: Using Crowdsourcing to Verify Social Media for Disaster Response | Augmented Collective Intelligence | Scoop.it

"My TEDx talk on Digital Humanitarians presented at TEDxTraverseCity. I’ve automatically forwarded the above video to the section on Big (false) Data and the use of time-critical crowdsourcing to verify social media reports shared during disasters. The talk describes the rationale behind the Verily platform that my team and I at QCRI are developing with our partners at the Masdar Institute of Technology (MIT) in Dubai. The purpose of Verily is to accelerate the process of verification by crowdsourcing evidence collection and critical thinking. "

Howard Rheingold's insight:

Patrick Meier has been a pioneer in using crowdsourcing and social media fo the kind of collective intelligence that saves lives, starting with the Ushahidi platform, which was successfully deployed after the Haiti earthquake (real-time sms-map mashups that helped responders get quickly to the hardest-hit areas). Crowdsourcing verification of social media reports during disaster could be one of the most useful humanitarian applications of augmented collective intelligence.

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Reinventing Discovery | Michael Nielsen

Reinventing Discovery | Michael Nielsen | Augmented Collective Intelligence | Scoop.it

"

I’m very excited to say that my new book, “Reinventing Discovery: The New Era of Networked Science”, has just been released!

The book is about networked science: the use of online tools to transform the way science is done. In the book I make the case that networked science has the potential to dramatically speed up the rate of scientific discovery, not just in one field, but across all of science. Furthermore, it won’t just speed up discovery, but will actually amplify our collective intelligence, expanding the range of scientific problems which can be attacked at all."

Howard Rheingold's insight:

I can't recommend this book highly enough -- six stars on a scale of five. The most detailed, well scaffolded with examples and supporting research, and well-written how-to do collective intelligence in the field of science. It's about open science as much as collective intelligence, but understanding each field illuminates understanding of the other.

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Barbara Truman's curator insight, July 20, 2013 5:49 AM

Timely! My copy had just found its way to the top of my book pile to mention in my dissertation on transdisciplinarity. Imagine the FoldIT game where the whole family can play and be entertained while engaging in valuable citizen science and collective intelligence. Calling all leaders who can wield such superpowers. 

Anne-Marie Armstrong's curator insight, July 21, 2013 6:09 AM

Highly recommended by two people who I respect.

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Decentralizing Science: Local Biohacking

Decentralizing Science: Local Biohacking | Augmented Collective Intelligence | Scoop.it
Do-It-Yourself scientists working in hackerspaces are positioned to make significant contributions with low overhead and little formal training (becoming necessary and valuable apprenticeship sites as the current higher education system...
Howard Rheingold's insight:

Citizen science from the perspective of a "free-market anti-capitalist, left-libertarian, transhumanist anarchist."

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Insight Maker -- Free Web-based Modeling/Simulation ENvironment

""Insight Maker is a Free web based modeling and simulation environment developed by Scott Fortmann-Roe. Insight Maker was first released in February 2010 and has continued to develop since then  There are questions which arise during the development of a Systemic Strategy that simply can not be answered with qualitative models. At times only a dynamic quantitative simulation is capable of providing the level of understanding necessary to answer some questions. This Systems Thinking World Learning Thread provides an in depth introduction to modeling & simulation using Insight Maker, a free, web-based, multi-user modeling & simulation environment."

Howard Rheingold's insight:

This looks like a useful tool for augmenting collective intelligence, but I have not evaluated it yet. If you do, let me know.

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Group Intelligence, Enhancement, and Extended Minds

Group Intelligence, Enhancement, and Extended Minds | Augmented Collective Intelligence | Scoop.it
Virtually all talk of cognitive enhancement focuses exclusively on the enhancement of individual intelligence. But what about enhancing group intelligence?
Howard Rheingold's insight:

The author adds some provocative insights to reports of the early work on the collective intelligence of groups. In particular, if social sensivitiy among at least some of the group members can be individually augmented, then the collective intelligence of the group might thereby also be augmented. h/t Ted Newcomb

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Lia Goren's curator insight, June 1, 2013 1:13 AM

Inteligencia del grupo, mejora y mentes amplidas (si hay mucho error de traducción, acepto el aviso).

La investigación a la que se refiere el post contradice la concepción intuitiva de que la inteligencia de las personas, cuando trabajan colaborativamente en un grupo, equivale a la adición del IQ de cada integrante del grupo. No es así. Fenómenos interesantes suceden cuando trabajamos en grupo.

Lia Goren's curator insight, June 1, 2013 1:15 AM

Inteligencia del grupo, mejora y mentes amplidas (si hay mucho error de traducción, acepto el aviso).

La investigación a la que se refiere el post contradice la concepción intuitiva de que la inteligencia de las personas, cuando trabajan colaborativamente en un grupo, equivale a la adición del IQ de cada integrante del grupo. No es así. Fenómenos interesantes suceden cuando trabajamos en grupo.

Ivon Prefontaine's curator insight, June 1, 2013 8:25 PM

One of the tags is ethical technology