Decision-Making Models for Scientists
- Publisher:
- Springer
- Publication Type:
- Chapter
- Citation:
- Teaching Science Students to Communicate: A Practical Guide, 2023, pp. 69-79
- Issue Date:
- 2023-01-01
Closed Access
| Filename | Description | Size | |||
|---|---|---|---|---|---|
| 978-3-030-91628-2_8.pdf | Published version | 192.25 kB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
Society is faced with complex and indeed wicked problems that cannot rely only on scientific solutions nor be solved by one scientific discipline alone. This is why scientists should not be positioned only as technical experts but also as decision makers. Scientists engage actively in various types of decision-making practices. We argue it is important that science students be exposed to collaborative decision-making with colleagues from diverse science disciplines and furthermore with non-scientists from diverse professional backgrounds. In this chapter we unpack decision-making by outlining three typologies: Structured and unstructured Top-down or autocratic, bottom-up or participatory, and consensus-based, and Decision-making in simple, complicated, complex, and chaotic contexts. In all three typologies, scientists are involved in decision-making not only with other “experts” but also diverse stakeholders and persons in positions of authority. In the conclusion, we argue that the chances of solving wicked problems are increased by transdisciplinary and creative collaborative processes. This leads to decision-making that can be challenging but exciting.
Please use this identifier to cite or link to this item: