Networks of knowledge and support. Mapping relations between public, private and not for profit sector in the creative economy.

A large part of the recent research and theoretical debate in economic geography underlines the central role of networks and relational perspectives. Although networks and their social dimension are recognised as central to the regional economic development, often the focus of research is in the economy transaction and supply-chain arguments. In particular, in the context of creativity and cultural industries, there has been a growing interest in the way the social and cultural dimensions are intertwined with the sites of exchange and consumptions but also the value of productions systems and supply-chains. From the economic geography framework, we moved on to social network analysis, as a new approach able to put together actors and institutions and to present all possible relationships and connecting structures, while focusing on the interconnection between public, private and not for profit sectors. The paper presents an empirical case study of the North-East region of England highlighting the importance of networks in the regional cultural economy. It draws on the data collected through social network analysis questionnaires and qualitative interviews to make the case for a better understanding of support, knowledge exchange and sociality. Social network analysis is used to show and highlight the role of the public sector and not for profit sector in the cultural economy but also the role of formal and informal network structure which supports the sector. Alongside, the SNA data qualitative interviews are used to better understand the issue surrounding the networks. The dynamics emerging from the social network analysis needs to be better understood and put into context. In particular, it addresses some of the dimensions emerging from the networks mapping: What is the role networks and what are they importance assets and impacts? In particular how relevant is the formal and informal dimension of them? Which role do networks play in terms of support and knowledge infrastructure? What is the role of the public sector in this networks and in this interaction? The conclusions drawn helps to better understand what role the interconnection between private, public and not for profit plays in the creative economy

Geography, skills and careers patterns at the boundary of creativity & innovation: digital technology and creative arts graduates in the UK

In the last decades, research on knowledge economies has taken central stage. Within this broader research field, research on the role of digital technologies and the creative industries has become increasingly important for researchers, academics and policy makers with particular focus on their development, supply-chains and models of production. Furthermore, many have recognised that, despite the important role played by digital technologies and innovation in the development of the creative industries, these dynamics are hard to capture and quantify. Digital technologies are embedded in the production and market structures of the creative industries and are also partially distinct and discernible from it. They also seem to play a key role in innovation of access and delivery of creative content. This chapter tries to assess the role played by digital technologies focusing on a key element of their implementation and application: human capital. Using student micro-data collected by the Higher Education Statistical Agency (HESA) in the United Kingdom, we explore the characteristics and location patterns of graduates who entered the creative industries, specifically comparing graduates in the creative arts and graduates from digital technology subjects. We highlight patterns of geographical specialisation but also how different context are able to better integrate creativity and innovation in their workforce. The chapter deals specifically with understanding whether these skills are uniformly embedded across the creative sector or are concentrated in specific sub-sectors of the creative industries. Furthermore, it explores the role that these graduates play in different sub-sector of the creative economy, their economic rewards and their geographical determinants

Introducing wwhypda: a world-wide collaborative hydrogeological parameters database

Since the seminal publication of Henry Darcy's work in the 1880s, a very large number of rock property values (such as hydraulic conductivity, permeability, compressibility, porosity, etc.) has been measured and published. These data are, however, dispersed and difficult to access. To overcome this problem and to facilitate site characterization (especially stochastic), a worldwide hydrogeological parameter database (wwhypda) is proposed. It is an open and collaborative catalog allowing users to store and retrieve measurements. The catalog is accessible through a web interface ( http://wwhypda.org ). Presently, it provides individual values and probability density functions of the properties as a function of lithology, scale of observation, location, and geological environmen

Talent on the move: creative human capital migration patterns in UK

The last decade has seen an increasing number of contributions, from both academics and policy makers, focusing on the role of higher education in developing human capital (Charles, 2003; Cramphorn & Woodlhouse, 1999; Preston & Hammond, 2006) and hence contributing to local and regional growth (Faggian & McCann, 2006; Mathur, 1999; Moretti, 2004). Within this broader literature, the role played by more ‘scientific’ types of human capital, such as STEM (science, technology, engineering, and mathematics) graduates and science parks (Bozeman, Dietz, & Gaughan, 2001; Linderlöf & Löfsten, 2004; Löfsten & Lindelöf, 2005), has also been explored. Little attention has been paid so far, to the role played by more ‘creative’ types of human capital. This chapter aims at filling this gap, in light of the central role that the term ‘creative’ took in policy and academic discourses in the UK (Comunian & Faggian, 2011; Comunian & Gilmore, 2015; DCMS, 2006; Powell, 2007; Universities UK, 2010)

High resolution multi-facies realizations of sedimentary reservoir and aquifer analogs

Geological structures are by nature inaccessible to direct observation. This can cause difficulties in applications where a spatially explicit representation of such structures is required, in particular when modelling fluid migration in geological formations. An increasing trend in recent years has been to use analogs to palliate this lack of knowledge, i.e., exploiting the spatial information from sites where the geology is accessible (outcrops, quarry sites) and transferring the observed properties to a study site deemed geologically similar. While this approach is appealing, it is difficult to put in place because of the lack of access to well-documented analog data. In this paper we present comprehensive analog data sets which characterize sedimentary structures from important groundwater hosting formations in Germany and Brazil. Multiple 2-D outcrop faces are described in terms of hydraulic, thermal and chemical properties and interpolated in 3-D using stochastic techniques. These unique data sets can be used by the wider community to implement analog approaches for characterizing reservoir and aquifer formations

Analog-based meandering channel simulation

Characterizing the complex geometries and the heterogeneity of the deposits in meandering river systems is a long-standing issue for the 3-D modeling of alluvial formations. Such deposits are important sources of accessible groundwater in alluvial aquifers throughout the world and also play a major role as hydrocarbons reservoirs. In this paper, we present a method to generate meandering river centerlines that are stochastic, geologically realistic, connected, and conditioned to local observations or global geomorphological characteristics. The method is based on fast 1-D multiple-point statistics in a transformed curvilinear domain: the succession in directions observed in a real-world meandering river (the analog) is considered as statistical model for multiple-point statistics simulation. The integration of local data is accomplished by an inverse procedure ensuring that the channels pass through a given set of locations while conserving the high-order spatial characteristics of an analog. The methodology is applied on seven real-world case studies. This work demonstrates the flexibility and the applicability of multiplepoint statistics outside the standard paradigm that considers the simulation of a 2-D or 3-D variable with spatial coordinates