◥ University. {q} PhD. {t} Themes. {t} CI. CI Resources - The Collective Intelligence Blog. Here I share a compilation of contents related to Collective Intelligence. This space is updated with new resources as they become available: Augmented Collective Intelligence: Technology enables all of us to know more than any of us. Scoop.it page curated by Howard Rheingold.Blog de David Sánchez Bote: Explorando los territorios de la Inteligencia Colectiva, la digitalización y la empresa abierta.Blog of Collective Intelligence: Blog edited by George Pór to contribute to the dialogue between different perspectives on CI.Crowdsourcing.org: The industry website on crowdsourcingHomo Agilis (Collective Intelligence, Agility and Sustainability).
Theories and Tools for Collective Intelligence. Abstract Geoff Mulgan will talk about theories and tools for collective intelligence: what is the state of knowledge and what could we hope for in the next decade? The talk will cover some of the recent technological tools for decision-making: open data, machine learning, predictive algorithms, crowd-sourcing – and ask: how well are these working, and how much are these transforming the intelligence of organisations and groups?
The talk will address the interface between human and machine intelligence; the capacity of computing to transform the many dimensions of human intelligence, from observation and creativity to memory and judgement; and possible research agendas for the future. Nesta is heavily involved in many fields of digital technology application as an investor, grant funder and research organisation – from crowdfunding and crowdsourcing, to open data challenges and a new programme of work on collective intelligence. About the speaker Geoff Mulgan Nesta. International Journal of Organizational and Collective Intelligence (IJOCI): 1947-9344, 1947-9352: Computer Science and Information Technology Journals. Editor(s)-in-Chief Biography Dickson K.W. Chiu received the BSc (Hons.) degree in Computer Studies from the University of Hong Kong in 1987. He received the MSc (1994) and the PhD (2000) degrees in Computer Science from the Hong Kong University of Science and Technology (HKUST). He started his own computer company while studying part-time.
He has also taught at several universities in Hong Kong. His research interest is in service computing with a cross-disciplinary approach, involving workflows, software engineering, information technologies, agents, information system management, security, and databases. Victor is a winner in 2011 European Identity Award in On Premise to Cloud Migration. Editorial Board International Advisory Board Ajith Abraham, Machine Intelligence Research Labs, USA Associate Editors Akinori Abe, NTT Communication Science Laboratories, Japan Frederic Andres, National Institute of Informatics, Japan Richard Chbeir, Bourgogne University, France Dickson K. (Bollier) THE RISE OF COLLECTIVE INTELLIGENCE.
Collective Knowledge Systems | New IT Farmer. Collective intelligence - the hypermedia research centre - University of Westminster. Cyberbollocks book review Collective Intelligence: Mankind's Emerging World in Cyberspace by Pierre Levy, Plenum, New York, $27.95, ISBN 0306456354 The Net has become our symbol for the future. Like clocks, steam engines and nuclear power for earlier generations, we use this icon of technology to imagine what will result from our current period of rapid social change. In Collective Intelligence, Pierre Levy provides a French vision of what will happen when everyone can participate within cyberspace. Up until now, because the Net was mainly developed in California, it is not surprising that our view of the digital future has long been dominated by gurus from this state.
But lurking behind this techno-mysticism is something much more sinister. Levy's book is important because it advocates an alternative future for the Net. This is because the entrepreneurs were the last people to arrive in cyberspace. Now scientists are no more moral than anyone else. Track 6: Social Media and Collective Intelligence - wi2015. Social Media has led to radical paradigm shifts in the ways we communicate, collaborate, consume, and create information. Technology allows virtually anyone to disseminate information to a global audience almost instantaneously. Information published by peers in the form of Tweets, blog posts, or Web documents through online social networking services has proliferated on an unprecedented scale, contributing to an exponentially growing data deluge. Digital traces of online and offline behavior, communication, and actions of artificial as well as human actors contribute to ‘datafication’ of our world.
An important quality of these new databases is their coverage of real effective behavior (in contrast to stated or postulated behavior). This may open up new frontiers if not a new (‘the 4th’) paradigm of ‘data-intensive science’. A new level of connectedness among peers adds new ways for the usage and consumption of traditional and social media. Topics Program Committee Prof. A Closer Look at Transformation: Collective Intelligence | Frank Diana's Blog. Next up in this transformation series is the seventh enabler: Collective Intelligence. One of the key themes throughout this transformation series is the clear movement from an enterprise entity to an extended enterprise of stakeholders.
This extended enterprise – or what I alternatively call value ecosystem – increases complexity and requires a new management approach to be effective. I use the term collective intelligence as an umbrella phrase that combines the critical need for both collaboration and analytic excellence. This includes other forces like crowd computing, crowdsourcing, co-creation, and wisdom of the crowd – all of which stem from the connectedness of our world, and the growing realization that value creation requires a broader community. Collective intelligence allows us to harness the efforts, knowledge and brainpower of a community. It satisfies the critical need to share and use knowledge that increasingly exists across multiple stakeholders.
Extended Enterprise Mr. Collective Wisdom Initiative. How do you concisely show two years of work in one... What is Intellective Design? Intellective Design is a term that I’m using to describe the relationship between collective intelligence and design. So, what’s collective intelligence you ask? Collective intelligence is commonly referred to as the group intelligence that emerges from the collaboration and competition of many individuals.
It is the aggregate knowledge that emerges from the decentralized choices and judgments of groups of independent participants. You’ve heard that two heads are better than one? Try millions of diverse, independently thinking heads each with their own unique experiences and cultural contexts. How can we harness this collective intelligence in the design process to make much more meaningful and informed design decisions? Good question. Collective Intelligence-4-2012 - an album on Flickr. Collective-action-design-framework.png (1371×950) Allan Donnelly » Email Network Analysis. Sloan Gear is a student run retail venture. The company is designed to give management students the opportunity to learn first-hand the successes and challenges of running a small retail company.
The company designs and orders apparel and other items with custom graphics, namely with the MIT and MIT Sloan logos. This project examines the email communications between company team members so as to explore the project process and the organizational dynamics of the project team. In order to understand the dynamics of the project process through the data tied to email communications, I used network analysis, time line charts, and time-based design structure matrices. In all, 208 and emails were collected from the time between 1 June 2012 and 21 September 2012. The following kinds of information were collected: Sender, Receiver, CCed, Time, Zone, Date, Email Subject.
The charts above page depict the email communications over time. Allan Donnelly » Collective Intelligence. Collective Intelligence is defined as the ability of groups to solve more problems than the individuals working alone. Collective Intelligence is not just the average knowledge of the crowd, it is, rather, an emergent property that is greater than the sum of its parts. Collective Intelligence is the wisdom of the crowd. This exploration of collective intelligence examines a group of individuals working together on an affinity mapping exercise.
The diagrams that follow are mappings of specific elements of the exercise that contributed to the collective intelligence of the crowd. This work was done by reviewing time lapse footage, frame by frame, and mapping the findings. Affinity mapping is a tool designed to facilitate groups through a collective problem solving and system mapping exercise. Reviewing the footage revealed several interesting findings. 504 responses were organized into 25 different categories. Coordination Kind of Actors Contemplators Organizers Contributors Attractors. Collective action design framework | exitcreative. Part three of five in a series on loyalty. We’re halfway there, don’t give up on me now! Comments and contributions will be part of part five. – Clay Now for the traditional, business school stuff: variables of customer satisfaction. Satisfaction among a set of customers, no matter the business, seems to be composed of six key variables: Product Performance: Does the thing I’ve purchased live up to my expectations?
Price: Does the price of the product match up with its performance relative to my needs? Differentiation from competitors can be – well, kinda has to be – created in multiple categories, and the more differentiation, the better. You knew that. But what we’re talking about here isn’t just general best practices for business, it’s building integrated loyalty systems. You should probably do research to find out how you’re doing. Iacobucci, Calder et al. provide seven phases: Set the vision: Where are we going? Click the image to embiggen.
Clunky name, I know. What value do they provide? WhatisCIF - collective-intelligence-framework - Explanation of CIF - The Intelligence Layer. Table of Contents CIF is a cyber threat intelligence management system. CIF allows you to combine known malicious threat information from many sources and use that information for identification (incident response), detection (IDS) and mitigation (null route). The most common types of threat intelligence warehoused in CIF are IP addresses, domains and urls that are observed to be related to malicious activity. This framework pulls in various data-observations from any source; create a series of messages "over time" (eg: reputation). When you query for the data, you'll get back a series of messages chronologically and make decisions much as you would look at an email thread, a series of observations about a particular bad-actor.
CIF helps you to parse, normalize, store, post process, query, share and produce data sets of threat intelligence. The original idea came from from: Parse Normalize Post Process Store Query Share Produce. Pyramidal Collective Intelligence | Collective Intelligence Research Institute. Pyramidal collective intelligence applies to large human organizations that operate through centralized decision making processes applied to top-down chains of commands. Pyramidal collective inteligence operates as a pyramidal setting of original collective intelligence clusters, as expressed in this diagram. This shortlist will get updated regularly. A centralized power structure controled by a few individualsPanopticismDivision of labor: fragmented tasks allow the distribution and optimization of workA chain of command: that distributes the execution of tasks in a top-down wayA culture based on authorityCasts and social classesScarcityStandards and norms Centralized power Most decision making and governance belong to a few persons at the top of the social edifice (governments, board of directors, concils, committees, etc).
In many cases one single individual personifies the entire organization: CEO, President, Général, Pope, General, Ministry, Supreme Commander, King and Queen, etc. POLICY: MIT competition uses crowdsourcing to find climate change solutions -- Tuesday, October 7, 2014 -- www.eenews.net. Advertisement Last week, the Massachusetts Institute of Technology Center for Collective Intelligence announced the winners of the 2014 Climate CoLab, a project that uses crowdsourcing to develop effective proposals to mitigate the effects of climate change.
Contestants from around the world have proposed hundreds of ideas that were evaluated and voted on by judges and Climate CoLab members, eventually narrowing the field to 34 winners in 17 categories. One of the more politically contentious categories was a prompt to design a national carbon price in the United States. The judges selected two winning proposals in the category, one that would create a carbon tax, and the other, a cap-and-trade program with a twist. Adele Morris, a fellow and policy director for climate and energy economics at the Brookings Institution, developed the carbon tax project as a way to not only reduce carbon emissions but also to cut the national deficit. Red meat for Republicans? 'People's Cap and Trade' What is Collective Intelligence. Swarms – Collective Intelligence Applied™
Preso - collective-intelligence-framework - One-sentence summary of this page. - The Intelligence Layer. Www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf. The Encyclopedia of Human-Computer Interaction, 2nd Ed. 2014-06-10 - (Newsom & Goldberg) Let's amplify California's collective intelligence.
Although the results of last week's primary election are still being certified, we already know that voter turnout was among the lowest in California's history. Pundits will rant about the "cynical electorate" and wag a finger at disengaged voters shirking their democratic duties, but we see the low turnout as a symptom of broader forces that affect how people and government interact. The methods used to find out what citizens think and believe are limited to elections, opinion polls, surveys and focus groups. These methods may produce valuable information, but they are costly, infrequent and often conducted at the convenience of government or special interests. We believe that new technology has the potential to increase public engagement by tapping the collective intelligence of Californians every day, not just on election day. We're exploring an alternative. There was also a surprise. You don't have to wait for the next election to have your voice heard by officials in Sacramento.
2014-06-09 - (Rey) Toward a more functional definition of Collective Intelligence. Collective 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, Thomas Malone 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. 2014-07-14 - Welcome to Collective Intelligence. 2012 - (KUBÁTOVÁ) KubaGrowth of Collective Intelligence by Linking Knowledge Workers through Social Media.
2011 - (Kania & Kramer) Collective Impact. 2011 - (Woolley & Fuchs) PERSPECTIVE—Collective Intelligence in the Organization of Science. 2008 - (Kapetanios & Koutrik) Call for Papers for a Special Issue of the Information Sciences Journal on Collective Intelligence. 2005 - (Weiss) Power of Collective Intelligence.