28,176 research outputs found

    Collective Intelligence for Knowledge Building and Research in Communities of Practice and Virtual Learning Environments: A Project Experience

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    There is little evidence about how collective intelligence, social networks, and communities of practice work in maternal health projects. In this paper, we discuss the approaches towards collective intelligence in a project by focusing on the virtual and web-based environments communities of practice and social network approach. This paper builds upon a research project IS0907 COST action and focuses on the communities of practice, social media within organization and team projects, and how through these networks and communities collective intelligence is building. Also, the current investigation stands as an example of COST IS0907 team and the relationship built between countries and communities of practice through working groups, manage knowledge transfer, and improve research collaboration and partnerships. This article aims to present the working environment developed to facilitate collective intelligence role in knowledge building and how communities of practice can enrich collaboration, in maternal health project settings, both educational and effective health research and knowledge building

    Human Computation and Convergence

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    Humans are the most effective integrators and producers of information, directly and through the use of information-processing inventions. As these inventions become increasingly sophisticated, the substantive role of humans in processing information will tend toward capabilities that derive from our most complex cognitive processes, e.g., abstraction, creativity, and applied world knowledge. Through the advancement of human computation - methods that leverage the respective strengths of humans and machines in distributed information-processing systems - formerly discrete processes will combine synergistically into increasingly integrated and complex information processing systems. These new, collective systems will exhibit an unprecedented degree of predictive accuracy in modeling physical and techno-social processes, and may ultimately coalesce into a single unified predictive organism, with the capacity to address societies most wicked problems and achieve planetary homeostasis.Comment: Pre-publication draft of chapter. 24 pages, 3 figures; added references to page 1 and 3, and corrected typ

    Designing Wise Communities that Engage in Creative Problem Solving: An Analysis of an Online Design Model

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    Addressing the conference theme of “design thinking,” this paper discusses an instructional design model, WisCom (Wisdom Communities) that we developed to build a wise learning community online, to solve open-ended, ill-structured problems such as solving a health crisis or an environmental disaster, which requires the exchange of multiple perspectives, inter-disciplinary thinking, creative problem solving, and social construction of knowledge. Based on socio-constructivist, sociocultural theories of learning and mediated cognition (Vygotsky, 1978), distributed cognition (Hutchins, 1995; Pea, 1993), group cognition (Stahl, 2006), research on how people learn (Bransford, Vye, Bateman, Brophy, & Roselli, 2004), and distance education design principles (Moore & Kearsley, 2011), WisCom specifies three components that must be designed to create a wise community online that engages in creative problem solving and transformational learning: (1) a cohesive learning community involved in negotiation of meaning and collaborative learning; (2) knowledge innovation – moving the learning community from data, information, and knowledge to wisdom, providing opportunities for reflection, sharing of perspectives, knowledge construction and preservation within the community, and (3) learner support and e-mentoring to achieve the communities’ learning goals

    Exploring online community participation

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    Firm-hosted online brand communities, in which consumers interact regarding brand-centric topics, represent a fascinating context to study the motives of participation within the community. Theories of social capital and collective action are extended to begin understanding why individuals contribute, as they receive no immediate benefit, and “lurkers” have the same access to that contributed knowledge as everyone else. Building on the concept of means-end chain, that is we seek out certain attributes as a means to achieve a desired end state, the linkage between online brand community attributes, individual need, and personal values is ethnographically examined. By way of in-depth laddering interviews, why individuals participate will be answered through understanding how that participation fulfils individual need and enhances personal value. The main study comprises two approaches – participant observation in the community, and individual in-depth interviews with 32 community members. Over 2222 data points and 750 ladders were discovered and analysed using the laddering technique. Seven themes emerged as to why individuals actively participate in an online brand community – belonging, recognition, helping others, knowledge, professional advancement, personal development, and entertainment

    Mapping wisdom as a complex adaptive system

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    This is the second of two papers concerning wisdom as an ecosystem appearing in sequential editions of Management & Marketing journal. The notion of wisdom as an ecosystem, or "the wisdom ecology", builds on work by Hays (2007) who first identified wisdom as an organisational construct and proposed a dynamic model of it. The centrepiece of this and its former companion paper is a relationship map of the Wisdom Ecosystem (the Causal Loop Diagram at Figure 1). The first paper, "The Ecology of Wisdom", introduced readers to the topics of wisdom and complex adaptive systems, and presented a dynamic model of the Wisdom Ecosystem. This second paper discusses systems dynamics modelling (mapping systems) and covers the Wisdom Ecosystem model in detail. It describes the four domains, or subsystems, of the Wisdom Ecosystem, Dialogue, Communal Mind, Collective Intelligence, and Wisdom, and walks readers through the model, exploring each of its 25 elements in turn. It examines the relationships amongst system elements and illuminates important aspects of systems function, providing a rare tutorial on developing and using Causal Loop Diagrams.Causal Loop Diagramming, Complexity, Dialogue, Organisational Learning, Systems Dynamics, Wisdom.

    Linking Participation and Economic Advancement: Buen Vivir Fund Case Study

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    The Buen Vivir Fund is a participatory impact investment fund operating internationally. It was founded in 2018 by Thousand Currents, a non-governmental organisation, following a co-design process to conceptualise the Fund, initiated in late 2016. The Buen Vivir Fund has intentionally started small in terms of volume of capital, having raised US1minloancapitalforitsinitialinvestmentcyclein2018–20.ThisUS1m in loan capital for its initial investment cycle in 2018–20. This US1m, plus US300,000raisedingrantcapital,isbeingdeployedwiththeguidanceoftheFund’sMembersAssembly,whichisthegoverningbodycomprisedoftengrass−rootsorganisationsfromAsia,Africa,andLatinAmerica,andeightinstitutionalinvestors,primarilyfoundations.Overthenextfiveyears,theBuenVivirFundispoisedtoexpanditsmembershipto30–50andincreaseitsinvestmentstoUS300,000 raised in grant capital, is being deployed with the guidance of the Fund’s Members Assembly, which is the governing body comprised of ten grass-roots organisations from Asia, Africa, and Latin America, and eight institutional investors, primarily foundations. Over the next five years, the Buen Vivir Fund is poised to expand its membership to 30–50 and increase its investments to US5m. Now in its second year, the Fund is fully operational having recently completed its first round of loan disbursal. To date, the Buen Vivir Fund has linked US427,700inloancapitaltoUS427,700 in loan capital to US113,000 of grant capital across nine projects led by grass-roots community organisations in Latin America, North America, Southern Africa, and South Asia. These grass-roots organisations have each developed entrepreneurial, micro-lending and community-driven, sustainable wealth-sharing practices proven effective in their local contexts. The Buen Vivir Fund applies these effective grass-roots economic practices to the level of a global investment fund, and it brings together financial investors and grass-roots organisational leaders as peers and fellow Fund members. The Fund promotes a financial model that seeks to be transformative, not transactional, by broadening the definitions of return to include communities’ holistic wellbeing, while avoiding the traditional focus on maximising capital accumulation. The Buen Vivir Fund employs a participatory approach such that investors and grass-roots representatives have equal voting rights in the governance and management of the Fund through its Members Assembly, and loan terms shift risk away from the grass-roots investees who make a solidarity contribution of their choosing based on the rate of growth and success of projects.Open Society Foundation

    Design thinking and innovation: synthesising concepts of knowledge co-creation in spaces of professional development

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    This paper explores how design thinking connects to concepts of knowledge creation and innovation. A case study of a knowledge sharing network in the social services sector is used to illustrate how design thinking supports Ba, the spaces for knowledge creation. Further exploration of the four enabling conditions for Ba resulted in delineation of two distinct types: relational and structural. Relational enablers support three groups of enabling conditions: interaction, shared values and communication. It is proposed that design thinking aligns well with relational enabling conditions for Ba to create the ideal spaces for knowledge creation. The group of structural enablers can assist or obstruct change and relate to the culture and management approaches of an organization, which may or may not be assisted by design thinking. However, to ensure that design thinking is not undermined, and innovation is achieved, the presence of an appropriate structural enabler is critical for success
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