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#Permacredits. The local currency for the global permaculture movement | #CryptoCurrency #CyberEconomy

#Permacredits. The local currency for the global permaculture movement | #CryptoCurrency #CyberEconomy | e-Xploration | Scoop.it
The Local Currency for the Global Permaculture Movement
luiy's insight:

Permacredits

 

 - The local currency for the global permaculture movement.

 

Permacredits are the first true asset-backed cryptocurrency on the market. They are powered by the surplus profit-sharing of Eco Developments, Permaculture institutions, and members in our network. When you buy Permacredits you are buying a membership in a global network of Eco resorts, Sustainable living spaces, Permaculture farms, Retreat centers, Eco Developments, Permaculture Design Schools, Apps, and more. These credits can be used at any of our network member locations for goods and services as well as be traded on the open market as an appreciating crypto currency asset class.

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Oycib ::: Collective Intelligence. "Kaan". Network Visualisation.

Oycib ::: Collective Intelligence. "Kaan". Network Visualisation. | e-Xploration | Scoop.it
luiy's insight:

Beginning with the origins, Oycib means in Mayan language "the place of honey". In this projet, Oycib is an e-Research infrastructure for the Collective Intelligence Analysis.

 

With Oycib infrastructure we propose an analysis model, based in the digital practices and collaboration profiles for the development of Social Learning and the Context Awareness in the Collective Intelligence process.

 

The infrastructure design and the profiles proposed here, are based on historical studies about social organization glyphs in Mayan culture made by Montgomery (2002) and Calvin (2012).

 

Initially we worked with four collaboration profiles: the "Itzaat", the "Pitziil", the "Ayuxul" and the "Sajal" (profiles), but we can find others depending of the organization context. Thus, it's important to mention that each profile is found based on the e-Xploración model and they are the qualitative and quantitative interpretation of the collaborative practices. In this way, we propose methods based on Social Network Analysis for the learning and knowledge management.

 

Thus, the network in Oycib is called "Kaan" (sky or network in Mayan Lenguage). In the "Kaan" we present the visualization of the subjects and objects, such as persons, forums, blogs, files, groups and all the interactions among them. Additionally, each profile and their interactions is presented.

 

... you can interact with "Kaan" here.

 

http://viz.oycib.org/net_all_3/network/index.html

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Morph : Get structured #data out of the web | #crawlers #datascience

luiy's insight:

Morph A Heroku for Scrapers

 

Get structured data out of the web

 

- All code and collaboration through GitHub

- Write your scrapers in Ruby, Python, PHP or Perl

- Simple API to grab dataSchedule scrapers or run manually

- Process isolation via Docker

- Trivial to move scraper code and data from ScraperWiki Classic

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An (incomplete) checklist for making #geodata #visualizations in data journalism | #ddj #dataviz

An (incomplete) checklist for making #geodata #visualizations in data journalism | #ddj #dataviz | e-Xploration | Scoop.it
luiy's insight:

MAPPABLE CHEAT-SHEET

An (incomplete) checklist for making geodata visualizations in (data-driven) journalism.

 

ALWAYS ASK YOURSELF FIRST:

Is a map really the best way to visualize the data set?

 

DATA HANDLING

 

- Got all geographic elements right? (especially borders & place names)

 

- Check the correct position of geocoded and self drawn map elements (thus preventing mistakes from misused spatial reference systems)

 

- Have all outliers and duplicates been eliminated? Correctly dealt with incomplete data entries?

 

- Have data entries that are not necessary for the final visualization been removed?Have the values been normalized (e.g. by population data)? .........

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What Data #Journalists Need to Do Differently | #ddj #bigdata

What Data #Journalists Need to Do Differently | #ddj #bigdata | e-Xploration | Scoop.it
Relying too heavily on the same sources leaves important stories untold.
luiy's insight:

The role of the data journalist has increased dramatically over the last decade.The past few months have seen the launch of several high-profile “data journalism” or “explanatory journalism” websites in the U.S. and the UK – such as Nate Silver’s recently relaunched and somewhat controversialFiveThirtyEight; Trinity Mirror’s ampp3d, a mobile-first site that publishes snappy viral infographics;The Upshot from The New York Times, which aims to put news into context with data; and Vox, where former Washington Post blogger Ezra Klein leads a team that provides “crucial contextual information” around news. The debates (pro and con) around these projects have brought data journalism out of its niche in digital media conferences and trade publications into the limelight.

 

These new media outlets have been received with both praise and criticism. Guardian journalist James Ball, who has been closely associated with the use of data for journalism – from his work with Wikileaks to the “Offshore Leaks” investigations – recently offered an interesting analysis of these developments. He points out a number of limitations in many of these data journalism projects — from the lack of transparency about their data, to the perpetuation of gender inequality among media professionals (“still a lot of white guys”), to the conspicuous absence of one of journalism’s most essential functions: the breaking of news.

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The Impact Cycle – how to think of actionable insights | #datascience #methods

The Impact Cycle – how to think of actionable insights | #datascience #methods | e-Xploration | Scoop.it
luiy's insight:

I. Identify the question. In a non intrusive way, help your business partner identify the critical business question(s) he or she needs help in answering. Then set a clear expectation of the time and the work involved to get an answer.

 

M. Master the data.This is the analyst’s sweet spot—assemble, analyze, and synthesize all available information that will help in answering the critical business question. Create simple and clear visual presentations (charts, graphs, tables, interactive data environments, and so on) of that data that are easy to comprehend.

 

P. Provide the meaning. Articulate clear and concise interpretations of the data and visuals in the context of the critical business questions that were identified.

 

A. Actionable recommendations. Provide thoughtful business recommendations based on your interpretation of the data. Even if they are off-base, it’s easier to react to a suggestion that to generate one. Where possible, tie a rough dollar figure to any revenue improvements or cost savings associated with your recommendations.

 

C. Communicate insights. Focus on a multi-pronged communication strategy that will get your insights as far and as wide into the organization as possible. Maybe it’s in the form of an interactive tool others can use, a recorded WebEx of your insights, a lunch and learn, or even just a thoughtful executive memo that can be passed around.

 

T. Track outcomes. Set up a way to track the impact of your insights. Make sure there is future follow-up with your business partners on the outcome of any actions. What was done, what was the impact, and what are the new critical questions that need your help as a result?

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An Interactive #Map Showing Global #Cyberattacks In Real Time | #dataviz

An Interactive #Map Showing Global #Cyberattacks In Real Time | #dataviz | e-Xploration | Scoop.it

Security firm Kaspersky Lab has launched an interactive cyberthreat map that visualizes cyber security incidents occurring worldwide in real time. A quick glance shows that the world is a pretty scary place.

luiy's insight:

The interactive map is a promotional tool created by Kaspersky Lab, but it's fascinating nonetheless. Threats displayed include malicious objects detected during on-access and on-demand scans, email and web antivirus detections, as well as objects identified by vulnerability and intrusion detection sub-systems.

 

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How to #Occupy the #Noosphere: Ian MacKenzie at TEDxVictoria 2013 | #socialchange

Ian MacKenzie An ardent filmmaker and media activist, Ian MacKenzie is dedicated to capturing and sharing glimpses of emerging human paradigms. MacKenzie's m...
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Exploring Co-studied #MOOCs Subjects via Social Network Analysis | #Learning #SNA

Exploring Co-studied #MOOCs Subjects via Social Network Analysis | #Learning #SNA | e-Xploration | Scoop.it
Exploring Co-studied Massive Open Online Course Subjects via Social Network Analysis
luiy's insight:
AbstractMassive Open Online Courses (MOOCs) allow students to study online courses without requiring previous experience or qualifications. This offers students the freedom to study a wide variety of topics, freed from the curriculum of a degree programme for example; however, it also poses a challenge for students in terms of making connections between individual courses. This paper examines the subjects which students at one MOOC platform (Coursera) choose to study. It uses a social network analysis based approach to create a network graph of co-studied subjects. The resulting network demonstrates a good deal of overlap between different disciplinary areas. Communities are identified within the graph and characterised. The results suggests that MOOC students may not be seeking to replicate degree-style courses in one specialist area, which may have implications for the future moves toward ‘MOOCs for credit’. 
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Watch as 1000 years of European borders change (timelapse map) | #history

Watch as 1000 years of European borders change (timelapse map) An incredible timelapse look at how drastically European borders have changed over the last 1000 years TransferWise…
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The Making of “History of #Rock in 100 Songs” | #dataviz #sna #gephi

The Making of “History of #Rock in 100 Songs” | #dataviz #sna #gephi | e-Xploration | Scoop.it
[This is a guest post by Susie Liu*, about the visualization project “History of Rock in 100 Songs”]
 
 
Figure 1. History of Rock in 100 Songs screenshot, live site here
 
The world of Rock ‘n’ Roll has always been very confusing to me.

Via ABoudières
luiy's insight:

When I found the Guardian’s list of 100 songs representative of rock music, I was inspired to use skills from my day job, creating data visualizations, to learn more about Rock ‘n’ Roll. With John as a domain expert to sanity check my work and a quick Google search of music APIs, we were ready to begin.

 

The original Guardian dataset only had the song title, artist, and release year of the song. I looked up more band information, such as its members and lifetime, using Last.fm and more song information, such as length and energy, using Echo Nest.

 

Exploring the data began with asking questions. I started simple. How do these songs appear over time? How do the timelines of the bands overlap with each other? I begin all of my visual brainstorming on paper like in Figure 2. It allows me to quickly see ideas. Plus, there is no hesitation to nix bad ideas because I’ve only invested a few minutes in the concept.

 

- See more at: http://visualoop.com/21745/the-making-of-history-of-rock-in-100-songs#sthash.9JUvGyoV.dpuf

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Priorité à l’intelligence collective pour accélérer l’ #innovation | #CI #coConstruction

Priorité à l’intelligence collective pour accélérer l’ #innovation | #CI #coConstruction | e-Xploration | Scoop.it
Les entreprises sont condamnées à innover : l’innovation est le meilleur moyen pour opérer une croissance durable et profitable au XXIe...
luiy's insight:

Intrapreneuriat et intelligence collective

 

Le "Think out of the box" doit se faire aussi bien à l’extérieur qu’à l’intérieur de l’entreprise. L’intrapreunariat, en s’appuyant sur une culture commune, reconnue et partagée, est tout aussi essentiel et prioritaire pour quiconque souhaite développer de nouveaux business.

 

L’alliance entre une organisation, des processus et des valeurs, et enfin des comportements, autour d’une vision partagée engendre cette culture de l’innovation. Et cette alliance, centrée autour de l’humain, va bouleverser les schémas classiques de leadership, mais aussi de considération de ce capital humain, devant être reconnu comme générateur de valeur ajoutée pour l’entreprise.

 

On voit de plus en plus apparaître dans les politiques managériales notamment du côté des États-Unis des Managers Inspiring, qui sont "des managers porteurs de sens", qui partagent leur passion. Aussi, pour faire émerger l’innovation, faut-il développer de nouveaux modèles d’organisation. 


 

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The Surprising Science Behind How Super Connectors Scale Their Networks | #SNA #CommunityBuilding

The Surprising Science Behind How Super Connectors Scale Their Networks | #SNA #CommunityBuilding | e-Xploration | Scoop.it

How one of the world’s top super connectors uses scientific principles of social network analysis to dramatically scale the size and depth of his network without increasing the time spent. 

 


Via Kenneth Mikkelsen
luiy's insight:

The basic idea behind Metcalfe’s Law is that the ‘potential value’ of a network increases exponentially as you add new interconnected nodes. In the context of relationship building, this means that as you build relationships that are connected to each other, the value of the network increases exponentially.

 

In the parlance of social network analysis, density is the percentage of people in your network connected to each other that could be. By increasing density, new things spread more quickly through it.

What sorts of new things?

 

New research by professors Nicholas Christakis and James Fowler, authors of Connected: The Surprising Power of Social Networks And How They Shape Our Lives, shows that a surprisingly large number of things are spread through networks such as violence, money, happiness, germs, obesity, gossip, ideas, norms, and behaviors.

In other words, as we increase the density of our networks based on mutual support, we dramatically increase the rate at which its participants learn from each other and deepen their relationships.

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The #CollectiveIntelligence Blog - Exploring new models of #collaboration and network organization

The #CollectiveIntelligence Blog - Exploring new models of #collaboration and network organization | e-Xploration | Scoop.it
Exploring new models of collaboration and network organization

Via Spaceweaver
luiy's insight:

Nature can inspire us to explore emerging models of interaction that will help to better understand patterns of collective intelligence in human groups. Steven Johnson, in his book “Emerging Systems” (2001), masterfully demonstrates how that connection (called Biomimicry or biomimetics) is full of metaphors. The Web Ask Nature, the Biomimicry Institute, brings together hundreds of examples of such associations.

 

In a previous post I mentioned that one of the things I liked about the Collective Intelligence Conference held at MIT in April 2012 was to listen to Deborah Gordon (Stanford) and Ian Couzin (Princeton), two behavioral biologists, who focused on the study of the patterns of behavior of animals in their natural habitats. They are not “biologists” in its classical sense but work as multidisciplinary groups that are making increasing use of mathematics and computer science as well as tracking and geolocation devices to investigate the collective behavior of swarms or “Swarm Intelligence“, a branch of artificial intelligence based on the collective behavior of decentralized and self-organized systems. 

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Spaceweaver's curator insight, May 21, 1:10 PM

Looks an interesting blog

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Social Technologies for Developing #CollectiveIntelligence in Networked Society

Social Technologies for Developing #CollectiveIntelligence in Networked Society | e-Xploration | Scoop.it
luiy's insight:

The methodology will allow to identify and analyze conditions that lead communities to become more collective intelligent, but first following research questions needs to be answered: how to increase engagement of passive society into collective decision making process, how technologies could help to structure the information, purify the positions, reconcile different opinions and formulate the real society voice etc. To solve social challenges further research is planned in the field with the aim to show how existing social technology parameters might help platform developers to create new IT based applications fostering self-organization, collective decision making and learning etc.

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La "boîte à outils" du cartographe de l’information et des réseaux | #SNA #gephi #tools

La "boîte à outils" du cartographe de l’information et des réseaux | #SNA #gephi #tools | e-Xploration | Scoop.it
luiy's insight:

La "boîte à outils" du cartographe de l’information et des réseaux s’est sérieusement étoffée depuis quelques mois. De quoi équiper un peu plus encore une activité qui connaît quelques succès aujourd’hui, et dont on commence à comprendre le rôle essentiel pour les organisations et les territoires (en rappelant, comme à chaque fois, que le travail du cartographe d’informations commence là où finissent les données et finit là où commence l’interprétation des phénomènes). La nouveauté, cette fois-ci, est qu’il s’agit de deux "plateformes" en ligne et non plus seulement d’un plug-in ou d’une application isolée. Et, dans les deux cas, elles viennent enrichir les contextes d’utilisation de GEPHI (pour la 5e année en 2013 au Google Summer of Code, le fameux Gsoc). La preuve, si besoin était, que Gephi n’est pas une "application" mais un écosystème d’innovation permanente constituée d’une multitude d’acteurs.

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Google Tests #PersonalData Market To Find Out How Much Your Personal Information Is Worth | #databrokers

Google Tests #PersonalData Market To Find Out How Much Your Personal Information Is Worth | #databrokers | e-Xploration | Scoop.it
If you could sell your location data every day, how much would you charge? A research team including Google has carried out an experiment to find out.

Via C.I.L. CONSULTING
luiy's insight:

The personal information that your smart phone can collect about you is increasingly detailed. Apps can record your location, your level of exercise, the phone calls that you make and receive, the photographs that you take and who you share them with and so on.

 

Various studies have shown that this data provides a detailed and comprehensive insight into an individual’s habits and lifestyle, information that advertisers and marketers dearly love to have.

Indeed, this information can surprisingly useful. The Google Now smartphone app uses information such as your location to provide details it thinks you might find useful, such as directions home or nearby restaurants.

 

But this service isn’t entirely altruistic. Google knows perfectly well that it can use this information to sell adverts and other services.

That raises an interesting question. If companies such as Google can create a business model based on the use of this kind of personal information, how much is this information worth? And how should we value it when it comes to deciding who should have access to it and who shouldn’t?

 

Ref: arxiv.org/abs/1407.0566 : Money Walks: A Human-Centric Study on the Economics of Personal Mobile Data

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MIT Invents A Shapeshifting Display You Can Reach Through And Touch | #design #telepresence

The Tangible Media Group at MIT's Media Lab has unveiled a futuristic display made of atoms, not pixels.
luiy's insight:

At the MIT Media Lab, the Tangible Media Group believes the future of computing is tactile. Unveiled today, the inFORM is MIT's new scrying pool for imagining the interfaces of tomorrow. Almost like a table of living clay, the inFORM is a surface that three-dimensionally changes shape, allowing users to not only interact with digital content in meatspace, but even hold hands with a person hundreds of miles away. And that's only the beginning.

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Researchers Find and Decode the #SpyTools Governments Use to Hijack Phones | #privacy #surveillance

Researchers Find and Decode the #SpyTools Governments Use to Hijack Phones | #privacy #surveillance | e-Xploration | Scoop.it

Newly uncovered components of a digital surveillance tool used by more than 60 governments worldwide provide a rare glimpse at the extensive ways law enforcement and intelligence agencies use the tool to surreptitiously record and steal data from mobile phones.

luiy's insight:

The modules, made by the Italian company Hacking Team, were uncovered by researchers working independently of each other at Kaspersky Lab in Russia and the Citizen Lab at the University of Toronto’s Munk School of Global Affairs in Canada, who say the findings provide great insight into the trade craft behind Hacking Team’s tools.

 

The new components target Android, iOS, Windows Mobile, and BlackBerry users and are part of Hacking Team’s larger suite of tools used for targeting desktop computers and laptops. But the iOS and Android modules provide cops and spooks with a robust menu of features to give them complete dominion over targeted phones.

 

They allow, for example, for covert collection of emails, text messages, call history and address books, and they can be used to log keystrokes and obtain search history data. They can take screenshots, record audio from the phones to monitor calls or ambient conversations, hijack the phone’s camera to snap pictures or piggyback on the phone’s GPS system to monitor the user’s location. The Android version can also enable the phone’s Wi-Fi function to siphon data from the phone wirelessly instead of using the cell network to transmit it. The latter would incur data charges and raise the phone owner’s suspicion.

 

“Secretly activating the microphone and taking regular camera shots provides constant surveillance of the target—which is much more powerful than traditional cloak and dagger operations,” notes Kaspersky researcher Sergey Golovanov in a blog post about the findings.

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Un viaje a #Seychelles: Cómo es la vida y los negocios en un paraíso fiscal | #ddj #offshoring

Un viaje a #Seychelles: Cómo es la vida y los negocios en un paraíso fiscal | #ddj #offshoring | e-Xploration | Scoop.it
Es el país más rico de África, pero su gente vive en la pobreza; una radiografía de la isla que visitó Cristina Kirchner en 2013
luiy's insight:

Llegaron a las oficinas de "Zen Offshore", una de las docenas de firmas que se dedican a abrir sociedades fantasmas difíciles de rastrear. Explicaron que representaban a una persona que actuaba como "enlace entre el gobierno de Zimbabue y las minas de diamantes". Para cualquiera que entienda el nexo entre la corrupción y lavado de dinero esta declaración debería despertar sospechas. Pero antes de que pudieran decir nada más, un representante de "Zen Offshore" los interrumpió. "No queremos saber eso", dijo con una sonrisa. "Si tenemos conocimiento de eso, tenemos que decirlo. Por lo que hago de cuenta que no oí ni una palabra de lo que dijeron", agregó.

 
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Documentaire "Le pouvoir de l'intelligence collective" | #CI #participation

Le documentaire «Le pouvoir de l'intelligence collective» est le bilan de quatre années d'expérimentation d'un nouveau modèle de gouvernance participative, l...

Via PierrePortevin
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Une #cartographie des différences dans les #cultures de #management | #dataviz

Une #cartographie des différences dans les #cultures de #management | #dataviz | e-Xploration | Scoop.it

Les différences culturelles sont la source de nombreux malentendus dans un cadre professionnel international et multiculturel. Erin Meyer, professeure de management interculturel à l’INSEAD (Fontainebleau), a développé un outil pour visualiser ces malentedus qui peuvent survenir entre des équipes de deux pays différents. La Harvard Business Review publie une version interactive de ces comparaisons internationales.


Via Annie Longeot, François Le Pivain
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BY ERIN MEYER. To help managers negotiate this complexity I have developed a tool called the Culture Map. It plots culture on eight scales that apply to the most common challenges managers face. By comparing the relative position of one culture to another on each scale, a manager can decode how culture influences day-to-day collaboration. Try the pairs illustrated in this exhibit to see how the map can help. Many other culture pairs are available in my new book The Culture Map. 

 

 

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Didier Lebouc's curator insight, June 15, 1:05 AM

Il faut surtout aller voir la carte interactive en ligne sur HBR

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Chart.js | #HTML5 #Charts for your website | #dataviz #tools

Chart.js | #HTML5 #Charts for your website | #dataviz #tools | e-Xploration | Scoop.it
Open source HTML5 charts using the canvas tag. Chart.js is an easy way to include animated graphs on your website.
luiy's insight:
Easy, object oriented client side graphs for designers and developers
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#Individualisme en entreprise et intelligence collective | #CI #management

#Individualisme en entreprise et intelligence collective | #CI #management | e-Xploration | Scoop.it
© DOC RABE Media - Fotolia.com J’étais invitée il y a deux semaines par l’équipe du Master RTNO de l’IAE de Metz à m’exprimer sur ce sujet dans le cadre d’une conférence sur l’intelligence collective au service de la performance et de l’innovation, organisée avec quatre intervenants ; sujet passionnant pour lequel je souhaite retranscrire par écrit les propos que je souhaitais proposer lors de mon intervention.
luiy's insight:

Le sens au service de l’intelligence collective ?

 

Le sujet de l’intelligence collective en entreprise suppose donc la sollicitation de facultés qui ne sont pas uniquement soumises au statut de salarié, mais bien davantage aux personnes (globales) qui dans leur volonté de s’émanciper et de construire leur propre chemin exigent de comprendre le sens (signification et direction) des projets pour s’y intégrer pleinement et participer activement et avec d’autant plus de ferveur qu’on leur reconnait un rôle particulier et que les responsabilités sont partagées. La confiance aide les individus à se dépasser, et donc à créer des solutions nouvelles. Le management apporte ensuite la cohésion d’équipe et la solidarité qui vont aussi la plupart du temps émaner de moments de partage créés spécifiquement pour créer des relations privilégiées, des moments moins focalisés sur le projet que sur l’intérêt d’être ensemble.

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Human #CollectiveIntelligence under Dual Exploration-Exploitation Dilemmas | #CI #research

PLOS ONE: an inclusive, peer-reviewed, open-access resource from the PUBLIC LIBRARY OF SCIENCE. Reports of well-performed scientific studies from all disciplines freely available to the whole world.
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We investigated experimentally whether social learning opportunities might improve the performance of human participants working on a “multi-armed bandit” problem in groups, where they could learn about each other's past choice behaviors. Results showed that, even though information scroungers emerged frequently in groups, social learning opportunities reduced total group exploration time while increasing harvesting from better options, and consequentially improved collective performance. Surprisingly, enriching social information by allowing participants to observe others' evaluations of chosen options (e.g., Amazon's 5-star rating system) in addition to choice-frequency information had a detrimental impact on performance compared to the simpler situation with only the choice-frequency information. These results indicate that humans groups can handle the fundamental “dual exploration-exploitation dilemmas” successfully, and that social learning about simple choice-frequencies can help produce collective intelligence.

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The Emerging Science of Computational #Anthropology | #DH #dataviz

The Emerging Science of Computational #Anthropology | #DH #dataviz | e-Xploration | Scoop.it

The increasing availability of big data from mobile phones and location-based apps has triggered a revolution in the understanding of human mobility patterns. This data shows the ebb and flow of the daily commute in and out of cities, the pattern of travel around the world and even how disease can spread through cities via their transport systems.

 

So there is considerable interest in looking more closely at human mobility patterns to see just how well it can be predicted and how these predictions might be used in everything from disease control and city planning to traffic forecasting and location-based advertising.

Today we get an insight into the kind of detailed that is possible thanks to the work of Zimo Yang at Microsoft research in Beijing and a few pals. These guys start with the hypothesis that people who live in a city have a pattern of mobility that is significantly different from those who are merely visiting. By dividing travellers into locals and non-locals, their ability to predict where people are likely to visit dramatically improves.


Via Ashish Umre
luiy's insight:

The question that Zimo and co want to answer is the following: given a particular user and their current location, where are they most likely to visit in the near future? In practice, that means analysing the user’s data, such as their hometown and the locations recently visited, and coming up with a list of other locations that they are likely to visit based on the type of people who visited these locations in the past.

Zimo and co used their training dataset to learn the mobility pattern of locals and non-locals and the popularity of the locations they visited. The team then applied this to the test dataset to see whether their algorithm was able to predict where locals and non-locals were likely to visit.

 

They found that their best results came from analysing the pattern of behaviour of a particular individual and estimating the extent to which this person behaves like a local. That produced a weighting called the indigenization coefficient that the researchers could then use to determine the mobility patterns this person was likely to follow in future.

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European #MOOCs Scoreboard | #learning #open

European #MOOCs Scoreboard | #learning #open | e-Xploration | Scoop.it

The aim of this scoreboard is to highlight the huge potential that European institutions have in the world of MOOCs and to help visualize this potential by compiling the existing European-provided MOOCs available on different open websites. 


Via Irina Radchenko
luiy's insight:

How we created our MOOC database

 

When we first started preparing to launch Open Education Europa, we attempted to make contact with every higher education institution in Europe, asking to whether or not they offered any MOOCs or other open educational resources. Hundreds of institutions answered us, and with the information they provided we started populating our database. Then we went to the websites of the institutions who had not responded and searched for publicly available MOOCs, which we also added to the database. Finally, we cross-checked with other MOOC providers and aggregators such as iversity and OpenupEd.

 

Updating the scoreboard

 

On an ongoing basis, we monitor for new MOOCs by using Google alerts, RSS feeds, and manual searches. The institutions we have contact with update us when they have new courses. We also check the MOOC providers and aggregators every month to see what’s new. As soon as we find a new MOOC online, we add it to our database. That means that some MOOCs are counted in the scoreboard before the start date of the course.

 

By the way, if you happen to know about a secret stash of MOOCs that aren’t included in our database, please tip us off!

 

 

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