Abstract
Forecasting through futurism has historically been characterized by a lack of both focus and accuracy. Reflexive governance may be capable of addressing the limitations that often cause forecasting failures. Now may be the critical time for implementation of a policy that effectively and adequately addresses cutting-edge scientific issues in a complex world.
Keywords
- Futurism
- Novelty trap
- Complex systems
- Complexity
- Cognitive bias
- Institutional limitation
- Reflexivity
- Reflexive governance
- Crowdsourcing
- Embedded experts
- Adaptive management
- Interdisciplinary groups
- Long-term collaborative research groups
- Trading zones
- Large-scale cross-sector networks
- Interactional expertise
- Working language
- Data sharing
- Open science
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Rejeski, D., Pauwels, E., Koo, J. (2016). Science and Technology Forecasting. In: Bainbridge, W., Roco, M. (eds) Handbook of Science and Technology Convergence. Springer, Cham. https://doi.org/10.1007/978-3-319-07052-0_13
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DOI: https://doi.org/10.1007/978-3-319-07052-0_13
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