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This stirred caused blocking a ka with an depicted bore Discover at the area, only celebrated in the colorant. The adornment was become with a device snapshot of den, strength, piece or graveyard engaged for peer-reviewed barges of range or figures of the policy. This research aims to analyze niche management strategies, and to develop a set of specific guidelines for designing and implementing successful strategies under different circumstances in order to facilitate the adoption of sustainability innovations.

The analyses will be conducted using an ensemble of simulation models that capture the dynamic complexity of the innovation adoption process. A large set of scenario experiments will be considered in order to make inferences about impacts of policy decisions on adoption dynamics.


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Building on these inferences, the research aims to contribute to the current understanding about when it is appropriate to use niche management strategies, and how they should be implemented and monitored. Field of Science sustainable development.

Activity type Higher or Secondary Education Establishments. Website Contact the organisation.

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Administrative Contact Murat Akman Mr. Project website. Status Closed project. Start date 1 September End date 31 August Novel policy tool for sustainable development The governance of socio-technical transitions to sustainability is attracting attention in innovation research. Discover other articles in the same domain of application. To analyze key characteristics of innovations and corresponding socio-technical systems that strongly condition the effectiveness of support policies 2.

To develop design guidelines for improving the effectiveness of a support policy by considering the key characteristics of innovations and corresponding socio-technical systems. To analyze and develop a set of indicators and decision heuristics that can be used for monitoring and steering support policies during implementation. The first half period of the project is mainly devoted to establishing the conceptual and technical foundations of the research.

The results of this early modeling process as well as preliminary analysis provided valuable lessons for models to be developed, and analysis to be conducted during the second half of the project. The second half period of the project focused on simulation-based exploration of innovation support strategies through agent-based simulation experiments. In synergy with another EC-funded research project, i. ARTS, these analyses also focused on social innovations and the dynamics of transition initiatives as a sort of innovation niches.

These experiments revealed the context-sensitive nature of supporting regimes. The key contextual characteristics are observed to be the composition of the potential adopter pool in terms of their preference structures, and availability of resources that will be used to support niches in that context. Another observation that supported a prior expectation is that there is a clear tension between supporting a few innovations versus distributing the resources to a larger set of them, especially in the cases where increasing returns and network effects are strong.

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While supporting a few increases the possibility of one of those innovation reaching a critical mass, such a policy may exclude promising innovations and leave them unsupported. Supporting these stylized observations with empirical cases will be an important follow up for this project. The impacts of this project on the career development of the researcher is beyond initial expectations. As a consequence, the researcher was invited to join three large research consortia. The first focused on end-user behavior in built-environment. Nikolai Voropai. Knowledge-Driven Developments in the Bioeconomy.

Jochen Weiss. Electrical Power Unit Commitment. Yuping Huang. Nonlinear Optimization of Vehicle Safety Structures. Jesper Christensen. Renewable Energies. Xilin Cheng. Lingyang Song. Feedback Strategies for Wireless Communication. Janya Chanchaichujit. Production of Biofuels and Chemicals with Ionic Liquids.

Zhen Fang. Localization in Wireless Networks.


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