Collective Intelligence
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Collective Intelligence
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Collective Intelligence
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5.5SyntheticBiology5.4Science ofthe Originsof Life5.3FutureEconomics5.2Future ofEducation5.1ComplexSystemsScience4.4Democracy-affirming Technologies4.1Science-basedDiplomacy4.2Advances inScience Diplomacy4.3Digital Technologiesand Conflict3.7InfectiousDiseases3.6Solar RadiationModification3.5OceanStewardship3.4SpaceResources3.3Future FoodSystems3.2WorldSimulation3.1Decarbonisation2.6FutureTherapeutics2.5Organoids2.4ConsciousnessAugmentation2.3RadicalHealthExtension2.2HumanApplicationsof GeneticEngineering2.1CognitiveEnhancement1.6CollectiveIntelligence1.5AugmentedReality1.4BiologicalComputing1.3Brain-inspiredComputing1.2QuantumTechnologies1.1AdvancedAIHIGHEST ANTICIPATIONPOTENTIAL
5.5SyntheticBiology5.4Science ofthe Originsof Life5.3FutureEconomics5.2Future ofEducation5.1ComplexSystemsScience4.4Democracy-affirming Technologies4.1Science-basedDiplomacy4.2Advances inScience Diplomacy4.3Digital Technologiesand Conflict3.7InfectiousDiseases3.6Solar RadiationModification3.5OceanStewardship3.4SpaceResources3.3Future FoodSystems3.2WorldSimulation3.1Decarbonisation2.6FutureTherapeutics2.5Organoids2.4ConsciousnessAugmentation2.3RadicalHealthExtension2.2HumanApplicationsof GeneticEngineering2.1CognitiveEnhancement1.6CollectiveIntelligence1.5AugmentedReality1.4BiologicalComputing1.3Brain-inspiredComputing1.2QuantumTechnologies1.1AdvancedAIHIGHEST ANTICIPATIONPOTENTIAL

Emerging Topic:

1.6Collective Intelligence

    Associated Sub-Fields

    Solving the world's biggest challenges will require input from large numbers of people with diverse experience and expertise, all of whom must be able to work collaboratively. The field of Collective Intelligence (CI) aims to understand the dynamics underpinning human collaboration and discover new ways to enhance and guide these processes. The field is founded on the principle that when people come together to solve problems, the sum is greater than its parts.

    Collective Intelligence is an emerging field, drawing from a broad range of disciplines including biology, psychology, economics and computer science.1 The methods of collective intelligence make it possible to look more systematically at how organisations and whole systems think, how they observe, analyse, plan and create, using a mix of human and machine intelligence, as well as pointing to how they can think more successfully.

    Principles from CI are being applied in areas as varied as organisational management, citizen science and open democracy, and can help to improve everything from social media moderation to predicting and responding to natural disasters. Harnessing it could provide a new, more inclusive and more effective model for global governance,2 and play a vital role in tackling the UN's Sustainable Development Goals.3

    In the last decade, there has been significant growth in the use of technology to enhance the CI of groups both large and small. This ranges from web platforms designed to coordinate large-scale collaboration to the use of artificial intelligence to facilitate group discussions. However, although efforts to harness CI are widespread, the practice is often well ahead of the theory. Significant research is required to improve our understanding of the fundamentals of CI and how to design and apply new tools to enhance it.

    Selection of GESDA best reads and further key reports

    The "Handbook of Collective Intelligence" provides a comprehensive introduction to the multidisciplinary field of modern CI research,4 while Nesta's "The Collective Intelligence Design Playbook" shows how these ideas can be put into practice.5 An overview in the journal ACM Computing Surveys of the diversity and potential synthesis of CI frameworks gives a solid grounding in the state of the underlying theory6. And a pair of books from Gianni Giacomelli outline the potential of combining AI and human networks to created "augmented" CI.7

    Emerging Topic:

    Anticipation Potential

    Collective Intelligence

    Sub-Fields:

    Large-scale collaboration
    Smarter teams
    Collective cognition
    Human-computer interaction
    Understanding and enhancing the dynamics underpinning human collaboration is an active area of research. While human-computer interaction and small-scale collaboration are more mature and well-recognised areas of research, they are anticipated to have the largest impact across business and communities, boosting their anticipation scores. Large-scale collaboration and our understanding of how groups "think" as a unit -- our collective cognition -- are less well developed and could require more attention.

    GESDA Best Reads and Key Resources