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This paper is about smart specialization strategies' as an innovation (or industrial) policy approach. Being a sector non-neutral policy, while promoting a bottom-up principle of entrepreneurial initiative and dynamics, smart specialization strategies' occ ...
This is the first book on a new policy approach that has been widely adopted in Europe and beyond. It analyses the concept of smart specialisation and discuss the need for smart specialisation strategies, explains why the approach is new and different from ...
Crowdsourcing is an online activity in which an individual, an institution, a non-profit organization, or company proposes to a group of individuals of varying knowledge, heterogeneity, and number, via a flexible open call, the voluntary undertaking of a t ...
Purpose – The purpose of this paper is to focus on the distinction between smart specialisation and smart specialisation policy and it studies under what conditions a smart specialisation policy is necessary. Design/methodology/approach – A conceptual fram ...
Financial factors are central to the recent economic crisis. Most macroeconomic models treat banks and financial intermediation as a veil. These models are unable to account for the recent financial crisis and they cannot be used for policy evaluation. Fin ...
This paper considers the task of finding a target location by making a limited number of sequential observations. Each observation results from evaluating an imperfect classifier of a chosen cost and accuracy on an interval of chosen length and position. W ...
Integrated transport and land use models are an increasingly used tool for evaluation of urban policy and large scale projects. Although there is a well-built theoretical background supporting the existing models, there are few exhaustive descriptions of t ...
This paper analyses the policy mix for urban transition by drawing on insights from studies in institutions and path dependence. It sheds new light on the role of institutions and actors in creating a policy mix for sustainable city districts, which has no ...
Epidemiological models can be a crucially important tool for decision-making during disease outbreaks. The range of possible applications spans from real-time forecasting and allocation of health-care resources to testing alterna- tive intervention mechani ...
Decision making and planning for which the state information is only partially available is a problem faced by all forms of intelligent entities they being either virtual, synthetic or biological. The standard approach to mathematically solve such a decisi ...
