Learning is a keystone for the development of a collective intelligence environment. Specifically, in a collaborative effort within inter-organizational ecosystems, learning can create new knowledge with the potential to influence behaviour and activate organisational collaboration as well as redesign social aspects and reconfigure the existing norms and values. To mobilise collective intelligence, creating crowdsourcing environments can be considered as learning experience tools that provide information based on real-life contexts. For migrants and refugees learning to access and feed reliable information can be a fundamental path toward their integration into a host community. To validate the possibility of developing a collective intelligence environment in a form of a wiki-space for (and by) migrants, this paper adopts the Triple-Loop Learning mechanism and the three learning drivers (what, how, and why) developed by the easyRights project. To do that, the paper presents the lessons learned from two hackathon initiatives organised in Palermo in Italy and in Malaga in Spain. The two subsequent hackathon initiatives had the scope to a) frame the wiki-space as an informative and crowdsourcing environment, b) create reliable content, and c) activate the necessary governance to guarantee its sustainability after the project’s termination for the very complex and ambiguous procedure of job seeking. The results led to a shared solution among the two cities as a service to sustain migrants' job seeking in the form of a wiki-space with two collective learning spheres: the methodology (the how dimension), and the platform itself (what, how, why dimensions). Through the findings from the two pilots' learning experiences, the paper essentially discusses how the project targets a systemic change by revisiting the existing knowledge in the organizations and creating a crowdsourcing platform of collective intelligence through a new mechanism that feeds the creation of values in different extents (societal, approach and service) toward a more inclusive society.

A Wiki-Space Driven Approach To Reinforce Collective Learning

M. Karimi;G. Concilio;I. Mariani
2022-01-01

Abstract

Learning is a keystone for the development of a collective intelligence environment. Specifically, in a collaborative effort within inter-organizational ecosystems, learning can create new knowledge with the potential to influence behaviour and activate organisational collaboration as well as redesign social aspects and reconfigure the existing norms and values. To mobilise collective intelligence, creating crowdsourcing environments can be considered as learning experience tools that provide information based on real-life contexts. For migrants and refugees learning to access and feed reliable information can be a fundamental path toward their integration into a host community. To validate the possibility of developing a collective intelligence environment in a form of a wiki-space for (and by) migrants, this paper adopts the Triple-Loop Learning mechanism and the three learning drivers (what, how, and why) developed by the easyRights project. To do that, the paper presents the lessons learned from two hackathon initiatives organised in Palermo in Italy and in Malaga in Spain. The two subsequent hackathon initiatives had the scope to a) frame the wiki-space as an informative and crowdsourcing environment, b) create reliable content, and c) activate the necessary governance to guarantee its sustainability after the project’s termination for the very complex and ambiguous procedure of job seeking. The results led to a shared solution among the two cities as a service to sustain migrants' job seeking in the form of a wiki-space with two collective learning spheres: the methodology (the how dimension), and the platform itself (what, how, why dimensions). Through the findings from the two pilots' learning experiences, the paper essentially discusses how the project targets a systemic change by revisiting the existing knowledge in the organizations and creating a crowdsourcing platform of collective intelligence through a new mechanism that feeds the creation of values in different extents (societal, approach and service) toward a more inclusive society.
2022
Knowledge Drivers for Resilience and Transformation, IFKAD 2022
978-88-96687-15-4
Collective learning, Crowdsourcing platform, Wiki-spaces
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1220456
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