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The third generation of innovation policy focusing on addressing societal challenges requires collaborative engagement and action across a broad base of stakeholders over time to contribute to ambitious missions and transform societal systems. The strategic governance of such collaborative work in innovation ecosystems requires a collective vision and direction, a shared view on what to do, and a

Den här rapporten beskriver och analyserar sex svenska innovationsplattformar för hållbara och attraktiva städer. De studerade innovationsplattformarna finns i Borås, Göteborg, Kiruna, Lund, Stockholm och Umeå och har startats och bedrivits med projektstöd av Vinnova i form av en särskild satsning på innovationsplattformar i städer.

Cluster-based programmes are used by regions across the globe as part of their industrial, innovation and development policies. They have become a key tool in smart specialisation strategies and are increasingly used to address social challenges. The contemporary popularity of cluster policies reflects the complexity of innovation and production processes, which places a premium on effective colla

North Middle Sweden took part in a pilot “Regions in Industrial Transition”, launched by the European Commission to test new approaches to dealing with industrial transition. By focusing on specific challenges related to industrial transition, the pilot sought to develop new tools for regions and cities.

There has not been a satisfying numerical validation of the theory of effective waves in random particulate materials. Validation has been challenging because the theoretical methods for effective waves have been limited to random particulate media in infinite slabs or half-spaces, which require a very large number of particles to perform accurate numerical simulations. This paper offers a solutio

Central and Eastern Europe (CEE) needs to become an attentive listener if its countries want to advocate for its interests more effectively. With the war in Ukraine ongoing and the challenge of the country’s reconstruction looming on the horizon, the regional decision-makers have to show more understanding of the challenges faced by their partners in other parts of the continent. They also need to

Social work with homeless/ness in Sweden is usually performed by social services in local municipalities highly dependent on local, non-state actors, especially landlords’ goodwill, to cooperate with social services and support vulnerable peoples’ housing. The social services dependency on such actors is challenging and exploitation by landlords can affect the actual organization of social service

As products and supply chains (SCs) evolve, logisticians must revisit their under-standing of postponement. The postponement boundary problem acknowledges that value- adding operations' timing and location in global SCs are critical decisions, impacted by taxes and government regulations in different jurisdictions. However, when combining hardware and software objects, software's increasing import

Global supply chain management concerns the management of sourcing, manufacturing, and distribution that take place in different countries before a product is sold and delivered to the final buyers. From the view of the focal manufacturing firm, a global supply chain consists of three key parts: the upstream supply network, the manufacturing network of plants belonging to the focal firm, and the d

BACKGROUND: Bacterial infection causes accumulation of neutrophils that release antimicrobial proteins including heparin-binding protein (HBP). In human airways, this neutrophil accumulation can be re-capitulated via intrabronchial exposure to lipopolysaccharide (LPS), a Toll-like receptor 4 (TLR4) agonist, that also causes a local increase in the neutrophil-mobilizing cytokine IL-26. Although LPS

Efficiently finding covariate model structures that minimize the need for random effects to describe pharmacological data is challenging. The standard approach focuses on identification of relevant covariates, and present methodology lacks tools for automatic identification of covariate model structures. Although neural networks could potentially be used to approximate covariate-parameter relation

Introduction: The directionality of semantic change is problematic in traditional comparative models of language reconstruction. Compared to, e.g., phonological and morphological change, the directions of meaning change over time are potentially endless and difficult to reconstruct. The current paper attempts to reconstruct the mechanisms of lexical meaning change by a quantitative model. We use a