4.3.3. Scenarios and foresight
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4.3.3. Scenarios and foresight
Use the future to build the present
Scenarios and foresight
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Stakeholder Type
1.1Advanced AI1.2QuantumRevolution1.3UnconventionalComputing1.4AugmentedReality1.5CollectiveIntelligence2.1CognitiveEnhancement2.2HumanApplicationsof GeneticEngineering2.3HealthspanExtension2.4ConsciousnessAugmentation2.5Organoids2.6FutureTherapeutics3.1Decarbonisation3.2EarthSystemsModelling3.3FutureFoodSystems3.4SpaceResources3.5OceanStewardship3.6SolarRadiationModification3.7InfectiousDiseases4.1Science-basedDiplomacy4.2Advancesin ScienceDiplomacy4.3Foresight,Prediction,and FuturesLiteracy4.4Democracy-affirmingTechnologies5.1ComplexSystemsScience5.2Futureof Education5.3Future Economics,Trade andGlobalisation5.4The Scienceof theOrigins of Life5.5SyntheticBiology
1.1Advanced AI1.2QuantumRevolution1.3UnconventionalComputing1.4AugmentedReality1.5CollectiveIntelligence2.1CognitiveEnhancement2.2HumanApplicationsof GeneticEngineering2.3HealthspanExtension2.4ConsciousnessAugmentation2.5Organoids2.6FutureTherapeutics3.1Decarbonisation3.2EarthSystemsModelling3.3FutureFoodSystems3.4SpaceResources3.5OceanStewardship3.6SolarRadiationModification3.7InfectiousDiseases4.1Science-basedDiplomacy4.2Advancesin ScienceDiplomacy4.3Foresight,Prediction,and FuturesLiteracy4.4Democracy-affirmingTechnologies5.1ComplexSystemsScience5.2Futureof Education5.3Future Economics,Trade andGlobalisation5.4The Scienceof theOrigins of Life5.5SyntheticBiology

Sub-Field:

4.3.3Scenarios and foresight

    There are many domains in which there may be multiple possible outcomes, presenting very different opportunities and risks. These cases have been addressed using a variety of predominantly qualitative approaches known collectively as foresight (or futures) methods, which typically focus on developing narratives and imagery rather than numerical predictions. The most widely used is scenario analysis, which has been used in corporate settings since the 1970s.

    Foresight exercises typically task a group with imagining how a situation will evolve, often using fictional prompts and props as well as real data, knowledge and expertise. The intention is to disrupt their conventional thinking, thus allowing planners to anticipate a range of possible outcomes, including novel and extreme possibilities. Ways of prompting this disruption continue to be developed, with potentially interesting new avenues being the use of synthetic data and machine learning to support the creation of unorthodox narratives.2425

    These techniques may help to address the current tendency of foresight work to identify positive or preferred futures. If we are to be truly open to what the future may hold, in order to better manage its challenges as well as exploit its opportunities, we must also consider “un-futures”: uncertain futures, unlikely futures and undesirable futures. This includes concepts that have become widely known, such as “black swans” and “existential risks”, but further work needs to be done to map and understand the space of “unfutures”.26

    One strand of development is understanding how unknown and disruptive factors can be envisaged using scenarios or other futures methods and then integrated into the parameters or structure of a quantitative model.27 A second is an expansion of the application space, to address such issues as identity or the interests of transnational communities as well as more traditional strategic questions. There is also a need to better understand what constitutes successful scenario generation and how it can be integrated with decision-making.

    Future Horizons:

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    5-yearhorizon

    Cognitive neuroscience and interaction design inform scenario creation

    Research continues into ways to more effectively generate scenarios and communicate their implications and consequences, making greater use of insights from cognitive neuroscience and tools from interaction design.

    10-yearhorizon

    Synthetic data assists governance foresight

    Machine learning and synthetic data are routinely used in governance contexts to create scenarios that challenge the expectations of human participants while also being grounded in real-world evidence. Foresight work remains a largely exploratory exercise.

    25-yearhorizon

    Mixed reality technology brings scenarios to life

    Scenarios are brought to life “on demand” through the use of generative gaming engines and mixed reality, allowing participants to experience different outcomes more intuitively. Foresight work is intended to allow decision-makers to better appreciate the potential consequences of their work.

    Scenarios and foresight - Anticipation Scores

    How the experts see this field in terms of the expected time to maturity, transformational effect across science and industries, current state of awareness among stakeholders and its possible impact on people, society and the planet. See methodology for more information.