Collective intelligence for promoting changes in behaviour: a case study on energy conservation

Piccolo, Lara S. G.; Liddo, Anna De; Burel, Grégoire; Fernández, Miriam; Alani, Harith

doi:10.1007/s00146-017-0710-y

Cited by 13 publications

(14 citation statements)

References 16 publications

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“…To boost wide uptake and increase impact, contributors should receive personalized feedback and local, accessible, and directly relevant advice (Piccolo et al. ).…”

Section: Collective Intelligence In Conservationmentioning

confidence: 99%

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Untapped potential of collective intelligence in conservation and environmental decision making

Vercammen

Burgman

2019

Conservation Biology

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Environmental decisions are often deferred to groups of experts, committees, or panels to develop climate policy, plan protected areas, or negotiate trade‐offs for biodiversity conservation. There is, however, surprisingly little empirical research on the performance of group decision making related to the environment. We examined examples from a range of different disciplines, demonstrating the emergence of collective intelligence (CI) in the elicitation of quantitative estimates, crowdsourcing applications, and small‐group problem solving. We explored the extent to which similar tools are used in environmental decision making. This revealed important gaps (e.g., a lack of integration of fundamental research in decision‐making practice, absence of systematic evaluation frameworks) that obstruct mainstreaming of CI. By making judicious use of interdisciplinary learning opportunities, CI can be harnessed effectively to improve decision making in conservation and environmental management. To elicit reliable quantitative estimates an understanding of cognitive psychology and to optimize crowdsourcing artificial intelligence tools may need to be incorporated. The business literature offers insights into the importance of soft skills and diversity in team effectiveness. Environmental problems set a challenging and rich testing ground for collective‐intelligence tools and frameworks. We argue this creates an opportunity for significant advancement in decision‐making research and practice.

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“…To boost wide uptake and increase impact, contributors should receive personalized feedback and local, accessible, and directly relevant advice (Piccolo et al. ).…”

Section: Collective Intelligence In Conservationmentioning

confidence: 99%

“…Innovation-focused crowdsourcing tools may improve their impact by tapping into existing social networks and reinforcing a sense of community. To boost wide uptake and increase impact, contributors should receive personalized feedback and local, accessible, and directly relevant advice (Piccolo et al 2018).…”

Section: Collective Intelligence In Conservationmentioning

confidence: 99%

Untapped potential of collective intelligence in conservation and environmental decision making

Vercammen

Burgman

2019

Conservation Biology

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“…CI is especially suited to work that demands innovation or creativity [5]. The CI approach adds a new perspective to technology in supporting energy awareness and eco-friendly choices [12,13]. Surowiceki argued that CI can move markets and society and that a collective always produces wiser judgments than an individual [4].…”

Section: Collective Intelligence (Ci)mentioning

confidence: 99%

How Collective Intelligence Fosters Incremental Innovation

Lee

Jin

2019

Journal of Open Innovation: Technology, Market, and Complexity

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The study aims to identify motivational factors that lead to collective intelligence and understand how these factors relate to each other and to innovation in enterprises. The study used the convenience sampling of corporate employees who use collective intelligence from corporate panel members (n = 1500). Collective intelligence was found to affect work process, operations, and service innovation. When corporate employees work in an environment where collective intelligence (CI) is highly developed, work procedures or efficiency may differ depending on the onset of CI. This raises the importance of CI within an organization and implies the importance of finding means to vitalize CI. This study provides significant implications for corporations utilizing collective intelligence services, such as online communities. Firstly, such corporations vitalize their services by raising the quality of information and knowledge shared in their workplaces; and secondly, contribution motivations that consider the characteristics of knowledge and information contributors require further development.

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“…It is evident that many factors affect this research area, and recurrently, COMSOC and voting affect modern society. [4] or in Europe [5], liquid democracy [6], 'Brexit' voting behaviour [7] Crowdsourcing [8], demographic migrations [9] Collective intelligence [10], social network and their impacts on voting [11], social welfare [12] Technological factors…”

Section: Importance Of Comsoc and Votingmentioning

confidence: 99%

Computational Social Choice and challenges оf voting in multi-agent systems

Dodevska¹

2019

Tehnika

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The presence of big data, online systems, collaborations of remote agents, distributed knowledge, social media interaction, and generally, digital globalization, changes the way how people make decisions, and especially those of collective importance. We face numerous challenges of human and algorithm voting in multi-agent socio-technical environments. Computational Social Choice (COMSOC) has the tendency to join several separately studied fields. The author summarizes recent efforts that testify the importance of COMSOC and voting. This paper gives insights into the nature of voting in multi-agent systems (MAS) and related challenges, from both computational and social aspects. With respect to the challenging aspects of voting and specifics of MAS, the following directions for future research in the field of COMSOC are suggested: an integrated approach to voting, iterative voting, a voting argumentation framework, and combinatorial voting.

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Collective intelligence for promoting changes in behaviour: a case study on energy conservation

Cited by 13 publications

References 16 publications

Untapped potential of collective intelligence in conservation and environmental decision making

Untapped potential of collective intelligence in conservation and environmental decision making

How Collective Intelligence Fosters Incremental Innovation

Computational Social Choice and challenges оf voting in multi-agent systems

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