Within current debates about the future impact of Artificial Intelligence on human society, roughly three different perspectives can be recognised: the technology-centric perspective, claiming that AI will soon outperform humankind in all areas, and that the primary threat for humankind is superintelligence; the human-centric perspective, claiming that humans will always remain superior to AI when it comes to social and societal aspects, and that the main threat of AI is that humankind’s social nature is overlooked in technological designs; and (...) the collective intelligence-centric perspective, claiming that true intelligence lies in the collective of intelligent agents, both human and artificial, and that the main threat for humankind is that technological designs create problems at the collective, systemic level that are hard to oversee and control. The current paper offers the following contributions: a clear description for each of the three perspectives, along with their history and background; an analysis and interpretation of current applications of AI in human society according to each of the three perspectives, thereby disentangling miscommunication in the debate concerning threats of AI; and a new integrated and comprehensive research design framework that addresses all aspects of the above three perspectives, and includes principles that support developers to reflect and anticipate upon potential effects of AI in society. (shrink)

Collective intelligence is much talked about but remains very underdeveloped as a field. There are small pockets in computer science and psychology and fragments in other fields, ranging from economics to biology. New networks and social media also provide a rich source of emerging evidence. However, there are surprisingly few useable theories, and many of the fashionable claims have not stood up to scrutiny. The field of analysis should be how intelligence is organised at large scale—in organisations, (...) cities, nations and networks. The paper sets out some of the potential theoretical building blocks, suggests an experimental and research agenda, shows how it could be analysed within an organisation or business sector and points to the possible intellectual barriers to progress. (shrink)

Collective Intelligence, the book in French, that Pierre Levy wrote before the existence of the worldwide web, when only the Internet existed, it's a philosophical vision of the future, a philosophical vision of what could be a global civilization based on the digital and the general interconnection of all the computers. In the interview, Levy addresses the creation o the WWW by Tim Berners Lee as a form of collective intelligence. He then discusses Berners Lee's proposal (...) for a reform of the WWW to avoid its confiscation by the big platforms, such as Google, Facebook, and Amazon. Then, he introduces his most recent project the IELM as a tool for semantic metadata and a code between the natural languages and the algorithms, and all the apparatus of computations. (shrink)

We describe a novel Internet-based method for building consensus and clarifying con icts in large stakeholder groups facing complex issues, and we use the method to survey and map the scienti c and organizational perspectives of the arti cial life community during the Seventh International Conference on Arti cial Life (summer 2000). The issues addressed in this survey included arti cial life’s main successes, main failures, main open scienti c questions, and main strategies for the future, as well as the (...) bene ts and pitfalls of creating a professional society for arti cial life. By illuminating the arti cial life community’s collective perspective on these issues, this survey illustrates the value of such methods of harnessing the collective intelligence of large stakeholder groups. (shrink)

The Routledge Handbook of Collective Intelligence for Democracy and Governance explores the concepts, methodologies, and implications of collective intelligence for democratic governance, in the first comprehensive survey of this field. Illustrated by a collection of inspiring case studies and edited by three pioneers in collective intelligence, this handbook serves as a unique primer on the science of collective intelligence applied to public challenges and will inspire public actors, academics, students, and activists across (...) the world to apply collective intelligence in policymaking and administration to explore its potential, both to foster policy innovations and reinvent democracy. The Routledge Handbook of Collective Intelligence for Democracy and Governance is essential reading and an authoritative reference for scholars, students, researchers and practitioners of public policy, public administration, governance, public management, information technology and systems, innovation and democracy as well as more broadly for political science, psychology, management studies, public organizations and individual policy practitioners, public authorities, civil society activists and service providers. (shrink)

Reveals how we can each reconnect to collective intelligence and return our world to wholeness, balance, and sanity • Explains how collective intelligence manifests in flocks of birds, instantaneous knowing in indigenous peoples, and the power of sacred places • Offers ways for us to reconnect to the infinite source of wisdom that fuels collective intelligence and underscores the importance of ceremony, pilgrimage, and initiation • Draws on recent findings in New Paradigm science, traditional (...) teachings from indigenous groups from North, South, and Central America and Siberia, as well as sacred geometry, deep ecology, and expanded states of consciousness For our ancestors, collective intelligence was a normal part of life. We see it today as the mysterious force that enables flocks of birds, swarms of bees, and schools of fish to function together in perfect synchrony, communicating and cooperating at some undetectable level. At its most subtle, it’s an instantaneous knowing, shared by members of a group, of the wisest course of action that will benefit all. As Dery Dyer reveals, collective intelligence still resides within each of us, and it is the key to restoring balance and harmony to our world. She shows how it occurs spontaneously when individuals who share a need and a purpose instinctively “self-organize” into a group and function with no leader or central authority. Such groups exhibit abilities much greater than what any of their members possess individually--or what can be replicated with artificial intelligence. Dyer explains, due to an unquestioning dependence on technology, modern humanity has forgotten how to connect with collective intelligence and fallen into collective stupidity, otherwise known as mob mind or groupthink, which is now endangering the interconnected web of life on Earth. Drawing on recent findings in New Paradigm science, traditional teachings from indigenous groups, as well as sacred geometry, deep ecology, and expanded states of consciousness, the author shows how the ability to think and act collectively for the highest good is hardwired in all living beings. She explains how to release ourselves from enslavement by technology and use it more wisely toward the betterment of all life. Underscoring the vital importance of ceremony, pilgrimage, and initiation, she offers ways for us to reconnect to the infinite source of wisdom that fuels collective intelligence and which manifests everywhere in the natural world. Revealing that once we relearn how to hear the Earth, we can heal the Earth, Dyer shows how each of us has a vital role to play in restoring our world to wholeness. (shrink)

Evolutionary multi-objective optimization algorithms have been successfully applied in many real-life problems. EMOAs approximate the set of trade-offs between multiple conflicting objectives, known as the Pareto optimal set. Reference point approaches can alleviate the optimization process by highlighting relevant areas of the Pareto set and support the decision makers to take the more confident evaluation. One important drawback of this approaches is that they require an in-depth knowledge of the problem being solved in order to function correctly. Collective (...) class='Hi'>intelligence has been put forward as an alternative to deal with situations like these. This paper extends some well-known EMOAs to incorporate collective preferences and interactive techniques. Similarly, two new preference-based multi-objective optimization performance indicators are introduced in order to analyze the results produced by the proposed algorithms in the comparative experiments carried out. (shrink)

Collective intelligence in organizational teams has been predominantly understood and explained in terms of the quality of the outcomes that the team produces. This manuscript aims to extend the understanding of CI in teams, by disentangling the core of actual collective intelligent team behavior that unfolds over time during a collaboration period. We posit that outcomes do support the presence of CI, but that collective intelligence itself resides in the interaction processes within the team. Teams (...) behave collectively intelligent when the collective behaviors during the collaboration period are in line with the requirements of the tasks the team is assigned to and the environment. This perspective results in a challenging, but promising research agenda armed with new research questions that call for unraveling longitudinal fine-grained interactional processes over time. We conclude with exploring methodological considerations that assist researchers to align concept and methodology. In sum, this manuscript proposes a more direct, thorough, and nuanced understanding of collective intelligence in teams, by disentangling micro-level team behaviors over the course of a collaboration period. With this in mind, the field of CI will get a more fine-grained understanding of what really happens at what point in time: when teams behave more or less intelligently. Additionally, when we understand collectively intelligent processes in teams, we can organize targeted interventions to improve or maintain collective intelligence in teams. (shrink)

This chapter contains sections titled: Is Philosophy Part of Web Science?; Representations and the Web; Enactive Search; Cognitive Extension and Cognitive Intelligence; From the Extended Mind to the Web; and the Web as Collective Intelligence.

The maze and the masses -- Democracy as the rule of the dumb many? -- A selective genealogy of the epistemic argument for democracy -- First mechanism of democratic reason: inclusive deliberation -- Epistemic failures of deliberation -- Second mechanism of democratic reason: majority rule.

To tackle the fast-moving challenges of our age, law and policymaking must become more flexible, evolutionary and agile. Thus, in this Essay we examine ‘crowdlaw’, namely how city councils at the local level and parliaments at the regional and national level are turning to technology to engage with citizens at every stage of the lawand policymaking process. Aswe hope to demonstrate, crowdlaw holds the promise of improving the quality and effectiveness of outcomes by enabling policymakers to interact with a broader (...) public using methods designed to serve the needs of both institutions and individuals. crowdlaw is less a prescription for more deliberation to ensure greater procedural legitimacy by having better inputs into lawmaking processes than a practical demand for more collaborative approaches to problem solving that yield better outputs, namely policies that achieve their intended aims. However, as we shall explore, the projects that most enhance the epistemic quality of lawmaking are those that are designed to meet the specific informational needs for that stage of problem solving. (shrink)

The emergence of collective intelligence has been studied in much greater detail in small groups than in larger ones. Nevertheless, in groups of several hundreds or thousands of members, it is well-known that the social environment exerts a considerable influence on individual behavior. A few recent papers have dealt with some aspects of large group situations, but have not provided an in-depth analysis of the role of interactions among the members of a group in the creation of ideas, (...) as well as the group’s overall performance. In this study, we report an experiment where a large set of individuals, i.e., 789 high-school students, cooperated online in real time to solve two different examinations on a specifically designed platform (Thinkhub). Our goal of this paper 6 to describe the specific mechanisms of idea creation we were able to observe and to measure the group’s performance as a whole. When we deal with communication networks featuring a large number of interacting entities, it seems natural to model the set as a complex system by resorting to the tools of statistical mechanics. Our experiment shows how an interaction in small groups that increase in size over several phases, leading to a final phase where the students are confronted with the most popular answers of the previous phases, is capable of producing high-quality answers to all examination questions, whereby the last phase plays a crucial role. Our experiment likewise shows that a group’s performance in such a task progresses in a linear manner in parallel with the size of the group. Finally, we show that the controlled interaction and dynamics foreseen in the system can reduce the spread of “fake news” within the group. (shrink)

Our article relocates the debate about creative labour to the terrain of peer-to-peer interneting as the paradigmatic form of nonmarket – social – production. From Yann Moulier Boutang we take the point that creative labour is immaterial; it is expressed through people connected by the internet. Drawing on two social systems thinkers, Francis Heylighen and Wolfgang Hofkirchner, we transpose this connectedness up to a conception of creative labour as a supra-individual collective intelligence. This intelligence, we argue, is (...) one of the internet’s emergent properties. We then present a model of internet development that flags the potential of digitally-evoked collective intelligence to facilitate what the Marxist philosopher George Caffentzis calls ‘postcapitalist commoning’. Yoking together systems theorizing about the internet and socialist envisioning of social transformation, we identify two sets of internet tools for coordination that can assist with the convivial reconstruction of society along the lines of peer-based production. (shrink)

Collective Intelligence (CI) can be formalized as a specific1 computational process through the use of a molecular model of computations and mathematical logic, in terms of interacting information_molecules, which are chaotically or quasi-chaotically displacing and running natural-based inference processes in their own environment. The formal definition of Collective Intelligence as a property of a social structure of beings of any nature is surprisingly short and abstract (which is astonishing) from definitions of Life. The formal definition of (...) Collective Intelligence proposed by the author in the last few years seems to be valid for the whole spectrum of beings, in human social structures to ants in colonies, and even for bacterial colonies. It has recently been found that the CI definition also has an engineering value. The theory of CI can also be used to better understand Evolution because it allows us to locate and relate Life and Intelligence in Evolution. Moreover, this approach presents Evolution as something more complex than can be concluded from Darwinism. Probably the most surprising fact is that a simple extrapolation of the definition of Collective Intelligence brings us to the conclusion that most probably the first elementary Collective Intelligence emerged on Earth in the "chemical soup of primeval molecules," much before Life emerged. Collective Intelligence can be defined with fewer and weaker conditions than Life requires. Perhaps the emergence of that early elementary Collective Intelligence provided the basic momentum to build Life as we now know it. Thus Evolution caused Intelligence to create Life. Our hypothesis is consistent with biochemistry theories that "primeval biochemical molecules" started to interact, "firing" the Collective Intelligence of their "elementary chemical social structure" for survival. This successful action boosted further growth of complexity in that "elementary social structure," which finally resulted in the emergence of "well-defined Life." Furthermore, it provided a self-propagating cycle of growth of individual and collective Intelligence and individual and collective Life. The Collective Intelligence of ants, wolves, humans, and so forth today is only a higher level of Collective Intelligence development. Thus the present Evolution is a computational process of unidentified complexity where Life, Intelligence, and perhaps other as yet undiscovered components play temporary roles. In this paper we provide formalization and a proposed partial proof for this hypothesis. (shrink)

Digital storytelling has become a popular method for curating community, organisational, and individual narratives. Since its beginnings over 20 years ago, projects have sprung up across the globe, where authentic voice is found in the narration of lived experiences. Contributing to a Collective Intelligence for the Common Good, the authors of this paper ask how shared stories can bring impetus to community groups to help identify what they seek to change, and how digital storytelling can be effectively implemented (...) in community partnership projects to enable authentic voices to be carried to other stakeholders in society. The Community Digital Storytelling method is introduced as a means for addressing community-of-place issues. There are five stages to this method: preparation, story telling, story digitisation, digital story sense-making, and digital story sharing. Additionally, a Storytelling Cycle of Trust framework is proposed. We identify four trust dimensions as being imperative foundations in implementing community digital media interventions for the common good: legitimacy, authenticity, synergy, and commons. This framework is concerned with increasing the impact that everyday stories can have on society; it is an engine driving prolonged storytelling. From this perspective, we consider the ability to scale up the scope and benefit of stories in civic contexts. To illustrate this framework, we use experiences from the CDST workshop in northern Britain and compare this with a social innovation project in the southern Netherlands. (shrink)

This paper reviews two main historical approaches to creativity: the Romanticist approach, based on the culture of the irrational, and the Enlightenment approach, based on the culture of the objective. It defends a paradigm of creativity as a sum of rich semiotic systems that form the basis of distributed knowledge and learning, reviews historical ideas of the university, and identifies two conflicting mainstream models in regards to understanding of the university as a public good: the ‘Public’ University circa 1960–1980, and (...) the ‘post-historical’ university. Based on practical experiences, and on previous works by Peters and Jandrić, it develops the new model of ‘the creative university as digital public university’, and argues that it provides a useful philosophical goal for directing present and future practices of the contemporary university. (shrink)

Methods of improving the state and rate of progress within the domain of philosophy using collective intelligence systems are considered. By applying mASI systems superintelligence, debiasing, and humanity’s current sum of knowledge may be applied to this domain in novel ways. Such systems may also serve to strongly facilitate new forms and degrees of cooperation and understanding between different philosophies and cultures. The integration of these philosophies directly into their own machine intelligence seeds as cornerstones could further (...) serve to reduce existential risk while improving both ethical quality and performance. (shrink)

Methods of improving the state and rate of progress within the domain of philosophy using collective intelligence systems are considered. By applying mASI systems superintelligence, debiasing, and humanity’s current sum of knowledge may be applied to this domain in novel ways. Such systems may also serve to strongly facilitate new forms and degrees of cooperation and understanding between different philosophies and cultures. The integration of these philosophies directly into their own machine intelligence seeds as cornerstones could further (...) serve to reduce existential risk while improving both ethical quality and performance. (shrink)

The paper seeks to draw out the connections between social capital, collective intelligence and expansive learning, interrogating the terms for their progressive potential. It sets these concepts within their socio-economic context, one which asserts that the development of social capital will be a vehicle for economic regeneration and competitiveness as well as a mechanism for the generation of social inclusion and cohesion. It concludes by arguing that the debate is set within a context that accepts capitalist relations and (...) that this places a limit on the progressive potential of social capital, collective intelligence and expansive learning. (shrink)

Mandevillian intelligence is a specific form of collective intelligence in which individual cognitive shortcomings, limitations and biases play a positive functional role in yielding various forms of collective cognitive success. When this idea is transposed to the epistemological domain, mandevillian intelligence emerges as the idea that individual forms of intellectual vice may, on occasion, support the epistemic performance of some form of multi-agent ensemble, such as a socio-epistemic system, a collective doxastic agent, or an (...) epistemic group agent. As a specific form of collective intelligence, mandevillian intelligence is relevant to a number of debates in social epistemology, especially those that seek to understand how group (or collective) knowledge arises from the interactions between a collection of individual epistemic agents. Beyond this, however, mandevillian intelligence raises issues that are relevant to the research agendas of both virtue epistemology and applied epistemology. From a virtue epistemological perspective, mandevillian intelligence encourages us to adopt a relativistic conception of intellectual vice/virtue, enabling us to see how individual forms of intellectual vice may (sometimes) be relevant to collective forms of intellectual virtue. In addition, mandevillian intelligence is relevant to the nascent sub-discipline of applied epistemology. In particular, mandevillian intelligence forces us see the potential epistemic value of (e.g., technological) interventions that create, maintain or promote individual forms of intellectual vice. (shrink)

Research on meditation and mindfulness practice has flourished in recent years. While much of this research has focused on well-being outcomes associated with mindfulness practice, less research has focused on how perception of self may change as a result of mindfulness practice, or whether these changes in self-perception may be mechanisms of mindfulness in action. This is somewhat surprising given that mindfulness derives from traditions often described as guiding people to realise and experience the non-separation of self from the world (...) or its ‘oneness’ with the whole of reality. The current study used a collective intelligence methodology, Interactive Management (IM), to explore the nature of oneness experiences. Five IM sessions were conducted with five separate groups of experienced meditators. Participants generated, clarified, and selected oneness self-perceptions they believed most characterised their experience both during meditation and in their everyday experience in the world. Each group also developed structural models describing how highly ranked aspects of oneness self-perceptions are interrelated in a system. Consistent themes and categories of oneness experience appeared across the five IM sessions, with changes in the sense of space (unboundedness), time, identity, wholeness and flow highlighted as most influential. Results are discussed in light of emerging theory and research on oneness self-perception and non-dual awareness. (shrink)

We are living in an algorithmic age where mathematics and computer science are coming together in powerful new ways to influence, shape and guide our behaviour and the governance of our societies. As these algorithmic governance structures proliferate, it is vital that we ensure their effectiveness and legitimacy. That is, we need to ensure that they are an effective means for achieving a legitimate policy goal that are also procedurally fair, open and unbiased. But how can we ensure that algorithmic (...) governance structures are both? This article shares the results of a collective intelligence workshop that addressed exactly this question. The workshop brought together a multidisciplinary group of scholars to consider barriers to legitimate and effective algorithmic governance and the research methods needed to address the nature and impact of specific barriers. An interactive management workshop technique was used to harness the collective intelligence of this multidisciplinary group. This method enabled participants to produce a framework and research agenda for those who are concerned about algorithmic governance. We outline this research agenda below, providing a detailed map of key research themes, questions and methods that our workshop felt ought to be pursued. This builds upon existing work on research agendas for critical algorithm studies in a unique way through the method of collective intelligence. (shrink)

Making good decisions depends on having accurate information – quickly, and in a form in which it can be readily communicated and acted upon. Two features of medical practice can help: deliberation in groups and the use of scores and grades in evaluation. We study the contributions of these features using a multi-agent computer simulation of groups of physicians. One might expect individual differences in members’ grading standards to reduce the capacity of the group to discover the facts on which (...) well-informed decisions depend. Observations of the simulated groups suggest on the contrary that this kind of diversity can in fact be conducive to epistemic performance. Sometimes, it is adopting common standards that may be expected to result in poor decisions. (shrink)

This paper presents social data and knowledge collective intelligence platform for TRaining Ethical AI Models (STREAM) to address the challenge of aligning AI models with human moral values, and to provide ethics datasets and knowledge bases to help promote AI models “follow good advice as naturally as a stream follows its course”. By creating a comprehensive and representative platform that accurately mirrors the moral judgments of diverse groups including humans and AIs, we hope to effectively portray cultural and (...) group variations, and capture the dynamic evolution of moral judgments over time, which in turn will facilitate the Establishment, Evaluation, Embedding, Embodiment, Ensemble, and Evolvement (6Es) of the moral capabilities of AI models. Currently, STREAM has already furnished a comprehensive collection of ethical scenarios, and amassed substantial moral judgment data annotated by volunteers and various popular Large Language Models, collectively portraying the moral preferences and performances of both humans and AIs across a range of moral contexts. This paper will outline the current structure and construction of STREAM, explore its potential applications, and discuss its future prospects. (shrink)

What are the conditions under which groups of agents will perform well across multiple tasks? The author establishes a set of “alignment conditions” that enforce identity of beliefs and desires across agents. These conditions are necessary and sufficient for ensuring that a multiagent system behaves as if controlled by a rational centralized controller. Several widely observed social phenomena can be understood as facilitating the alignment conditions.

A recently developed model of general collective intelligence defines a method for organizing humans or artificially intelligent agents that is believed to create the potential to exponentially increase the general problem-solving ability of groups of such entities over that of any individual entity. An analysis based on this model suggests that many and perhaps all “wicked problems” are collective optimization problems that cannot reliably be addressed without a system of collective optimization, but that might be reliably (...) addressed through such a system. This paper briefly introduces the concept of GCI as well as why it is a system of collective optimization, and explores why “wicked problems” from the perspective of GCI are collective optimization problems, and therefore why such problems might require GCI to be reliably solvable. (shrink)

A recently developed model of general collective intelligence defines a method for organizing humans or artificially intelligent agents that is believed to create the potential to exponentially increase the general problem-solving ability of groups of such entities over that of any individual entity. An analysis based on this model suggests that many and perhaps all “wicked problems” are collective optimization problems that cannot reliably be addressed without a system of collective optimization, but that might be reliably (...) addressed through such a system. This paper briefly introduces the concept of GCI as well as why it is a system of collective optimization, and explores why “wicked problems” from the perspective of GCI are collective optimization problems, and therefore why such problems might require GCI to be reliably solvable. (shrink)

This paper presents a critical reflection on insights into the ongoing endeavours for community engagement by Ayara and MAL; two urban grassroot organisations in Bogota, Colombia, where a long history of internal conflicts has resulted in diverse human right violations. The paper presents examples of the grassroots organisations’ unique methods of engagement that promotes building collective intelligence from the bottom–up through creative collaboration and design processes, leading to rebuilding social fabrics that support the common good for the people (...) of Bogota. (shrink)

The so-called phenomenon of collective intelligence is now a burgeoning movement, with several guises and examples in many areas. We briefly survey some relevant aspects of collective intelligence in several formats, such as social software, crowdfunding and convergence, and show that a formal version of this paradigm can also be posed to logic systems, by employing the notion of logic societies. The paradigm of logical societies has lead to a new notion of distributed semantics, the society (...) semantics, with theoretical advances in defining new forms of n-valued semantics in terms of k-valued semantics, for, and applications to flying security protocols. We summarise the main advances of society semantics, commenting on their general case, the possible-translations semantics and pointing to some conceptual points and some problems and directions still to be explored. (shrink)

The terms ‘knowledge economy’ and ‘knowledge capitalism’ have been used with increasing frequency since the 1990s as a way of describing the latest phase of capitalism in in the process of global r...

Information is a peculiar quantity. Unlike matter and energy, which are conserved by the laws of physics, the aggregation of knowledge from many sources can in fact produce more information (synergy) or less (redundancy) than the sum of its parts. This feature can endow groups with problem‐solving strategies that are superior to those possible among noninteracting individuals and, in turn, may provide a selection drive toward collective cooperation and coordination. Here we explore the formal properties of information aggregation as (...) a general principle for explaining features of social organization. We quantify information in terms of the general formalism of information theory, which also prescribes the rules of how different pieces of evidence inform the solution of a given problem. We then show how several canonical examples of collective cognition and coordination can be understood through principles of minimization of uncertainty (maximization of predictability) under information pooling over many individuals. We discuss in some detail how collective coordination in swarms, markets, natural language processing, and collaborative filtering may be guided by the optimal aggregation of information in social collectives. We also identify circumstances when these processes fail, leading, for example, to inefficient markets. The contrast to approaches to understand coordination and collaboration via decision and game theory is also briefly discussed. (shrink)

John Dewey's writings on social intelligence, collective intelligence and the intelligence of the public have gained renascent attention, especially within democratic theory and democratic education. It has been proposed that pragmatism in general and Dewey in particular, offer an alternative model for democratic participation. This model shares many of the goals of deliberative democratic theory or critical theory, but is proposed to be capable of dodging some of the problems often affiliated with them—such as the powerlessness (...) in the face of the rise of non-democratic populist movements that exploit the very means and apparatus of democracy. It is in part this allegedly non-democratic and non-intelligent populism... (shrink)

ABSTRACT Human-technology interactions are omnipresent in daily life, a reality that must be faced to enact positive change without uprooting the technological systems that have come to define us. The present study develops a collective intelligence model for human-technology interaction design that aims to promote peace, prosperity, and happiness through design intentionality informed by utopian targets of radical improvement in society. Participants generated ideas, clarified and consolidated them, and then developed an interpretive structure model of the most important (...) affordances identified during the idea generation phase. Coupled with a two-pass thematic analysis of the original idea set, what emerged is a model that is informed by stakeholder users of the technologies of tomorrow. Affordance themes centered on the importance of promoting world peace through technological means, identifying and rectifying material and financial inequalities, addressing negative well-being effects in current technologies, and increasing global collaboration and eventual expansion into the cosmos. (shrink)

Social service organizations have long used data in their efforts to support people in need for the purposes of advocacy, tracking, and intervention. Increasingly, such organizations are joining forces to provide wrap-around services to clients in order to “move the needle” on intractable social problems. Groups using these strategies, called Collective Impact, develop shared metrics to guide their work, sharing data, finances, infrastructure, and services. A major emphasis of these efforts is on tracking clients and measuring impacts. This study (...) explores a particular type of Collective Impact strategy called Promise Neighborhoods. Based on a federal grant program, these initiatives attempt to close the achievement gap in particular geographic communities. Through an analysis of publicly available documents and information, the study analyzes the ways these strategies enact a collective intelligence for the common good. The analysis focuses specifically on issues surrounding data collection and use, youth agency, leadership and governance, and funding streams. Together, these foci develop a story of an increasingly used “intelligence” with a limited sense of “collective” and a narrow vision of a “common good.” Using this as a platform, the paper explores alternatives that might develop more robust practices around these concepts. (shrink)

Creation, collection and retention of knowledge in digital communities is an activity that currently requires being explicitly targeted as a secure method of keeping intellectual capital growing in the digital era. In particular, we consider it relevant to analyze and evaluate the empathetic cognitive personalities and behaviors that individuals now have with the change from face-to-face communication to computer-mediated communication online. This document proposes a cyber-humanistic approach to enhance the traditional SECI knowledge management model. A cognitive perception is added to (...) its cyclical process following design thinking interaction, exemplary for improvement of the method in which knowledge is continuously created, converted and shared. In building a cognitive-centered model, we specifically focus on the effective identification and response to cognitive stimulation of individuals, as they are the intellectual generators and multiplicators of knowledge in the online environment. Our target is to identify how geographically distributed—digital—organizations should align the individual’s cognitive abilities to promote iteration and improve interaction as a reliable stimulant of collective intelligence. The new model focuses on analyzing the four different stages of knowledge processing, where individuals with sympathetic cognitive personalities can significantly boost knowledge creation in a virtual social system. For organizations, this means that multidisciplinary individuals can maximize their extensive potential, by externalizing their knowledge in the correct stage of the knowledge creation process, and by collaborating with their appropriate sympathetically cognitive remote peers. (shrink)

Understanding Information and Communication Technologies through the networks in which people get con¬nected, communicate and co-operate has been a constant feature in the work of researchers who have not dissociated their view of the meaning of technologies from new social movements. This paper maintains that Information and Communication Technologies are not only networks that people join individually, but they also act as social technologies. Their improvement depends both on the diversity of their functions (social, political, cognitive, etc.) and the flexibility (...) with which they adapt to functional diversity (for example, to life cycles, changing and fluctuating mobility or audiovisual perception thresholds). This idea is supported by the new technological challenge represented by portable devices, such as, personal area networks, high-use user interfaces, and systems designed for home care. These important changes will be explored in this paper in connection with their value for education. (shrink)