🔸
KEM's for mission-driven innovation
Download pdf in DutchNederlandse versie
  • Key Enabling Methodologies (KEMs) for mission-driven innovation
  • Tabel of contents
  • Introduction to the agenda
    • 1. Introduction
      • 1.1 Background: Mission-driven Innovation Policy
      • 1.2 Key Enabling Methodologies or KEMs
      • 1.3 Categories of KEMs
      • 1.4 Conditions and the use of KEMs
      • 1.5 This agenda
  • Categories
  • 2 Vision and imagination
    • 2.2 State of the art
    • 2.3 Challenges and research questions
    • 2.4 References
  • 3. Participation and co-creation
    • 3.2 State of the art
    • 3.3 Challenges and research questions
    • 3.4 References
  • 4. Behaviour and empowerment
    • 4.2 State of the art: perspectives on behavioural change
    • 4.3 Challenges and research questions
    • 4.4 References
  • 5. Experimental Environments
    • 5.2 State of the art: from modeling to experimentation
    • 5.3 Challenges and research questions
    • 5.4 References
  • 6. Value Creation and upscaling
    • 6.2 State of the art
    • 6.3 Challenges and research questions
    • 6.4 References
  • 7. Institutional change
    • 7.2 State of the art
    • 7.3 Challenges and research questions
    • 7.4 References
  • 8. System change
    • 8.2 State of the art
    • 8.3 Challenges and research questions
    • 8.4 References
  • 9. Monitoring and effect measurement
    • 9.2 State of the art
    • 9.3 Challenges and research questions
    • 9.4 References
  • Methods in the Mission-Driven Innovation Policy
    • 10. Methods in the Mission-Driven Innovation Policy
      • 10.1 Programming and KEM research
      • 10.2 Methodological challenges in the missions
      • 10.3 Cohesive application
  • Notes
    • About the development of this agenda
    • Colophon
Powered by GitBook
On this page
Export as PDF

5. Experimental Environments

5.1 Introduction

Previous4.4 ReferencesNext5.2 State of the art: from modeling to experimentation

Last updated 4 years ago

In addition to science and business, the government also has an increasing need to experiment with policy. The role of society is becoming increasingly relevant in these experiments; the so-called quadruple helix. Due to the wide variety of actors and interests, it is complicated to tackle these experiments on a grand scale, and small-scale testing must be made possible quickly. There is therefore a need for environments in which a great diversity of groups (citizens, governments, scientists, companies, artists, etc.) have the opportunity to come together and work together on different societal challenges. Through participation and co-creation, as described in , the experimental environments described here allow for simple interventions and early prototypes and can quickly be tested in the “real” world, without waiting for proof that something actually works.

Experimental environments offer the opportunity to develop and test innovations that bring about change in a social context. However, these transitions are not easy to manage and related issues are often surrounded by uncertainties and ambiguous information. There is therefore a need for space in the early stages of the development process to try out and validate simple ideas. In addition, the effects of developed interventions on changes in simulated and / or real-life contexts must also be tested further in the process and, if necessary, adjusted. See, for example, the monitoring and effect measurement methods as described in .

KEMs in this category help set up experimental environments, in virtual environments, everyday life and workplaces. They answer questions such as: how do you set up an experimental environment? What conditions must an experimental environment meet? What degree of imitation is needed? What should collaboration with stakeholders look like in projects in this setting?

Chapter 3
chapter 9