Under the name of Excellent Areas ("Excellente Gebieden"), several Dutch home construction companies and municipalities are engaged in an experiment to use the building standards of 2015 and 2020 today. There is much to learn from the nature of these building standards before they can be applied profitably. AgentschapNL is the Exemplary Neighborhoods project facilitator, and they asked us to evaluate the instruments they have set up for the learning trajectory.
The most significant program of this experiment centers around learning. What are the issues that homeowners, construction companies, municipalities, energy companies, and advisors run into? How does everyone deal with them?
We used the three steps of transition learning to structure this research:
Deep understanding is about applying a specific new solution to a particular problem. Broad learning involves using that new solution to other cases of the same or a similar situation. Finally, learning to scale up means that these new solutions can become more standardized and applied by many more actors.
Our evaluation process of Excellent Areas started with establishing what we could hope to learn about the program. In which areas could its functioning be assessed? And how? Based on the trichotomy of deepening, broadening, and learning, we organized a series of semi-open questions on the one hand and a series of interviews on the other. The outcome of the 18 discussions was structured and then analyzed for patterns.
We concluded that the developed instruments deal very well with deepening and broadening learning, but there is still underdeveloped attention for scaling up learning. Since the program started in 2010, it is not too late to develop this further.
Please see the project document attached to this page - only available in Dutch.
Nov. 27, 2011
CSR Consultant / Engineer
Industrial Ecologist
Except Integrated Sustainability
Communication Strategist
Except Integrated Sustainability
Strategy & Communication
Except Integrated Sustainability
Specialist
NL Agency
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