Establishing a ‘Cultural Base’? The Creation of the Fulbright Program in Portugal

This paper deals with the cultural and educational relations between the United States and Portugal during the Cold War. It is built upon the premise that cultural policies and cultural relations between states are a fundamental part of international relations. History of International Relations, therefore, should overcome an analysis based only upon political and diplomatic dimensions to address what can also be referred to as ‘cultural diplomacy’. The Cold War period, because of its historical features, is particularly relevant to the study of processes of cultural diplomacy and some authors even consider it as the ‘golden age’ of cultural diplomacy.¹1. William Glade, ‘Issues in the Genesis and Organization of Cultural Diplomacy: A Brief Critical History’ in The Journal of Arts Management, Law, and Society (Winter 2010), vol. 39, issue 4, 242. For cultural diplomacy during the Cold War see Jessica Gienow-Hecht, ‘Culture and the Cold War in Europe’ in Leffler, Melvyn & Westad, Odd Arne, The Cambridge History of the Cold War Vol. i, (Cambridge University Press, 2010), 398–419; Akira Iriye, ‘Culture and International History’ in Michael J. Hogan and Thomas G. Paterson (ed), Explaining the History of American Foreign Relations, 2nd ed. (Cambridge: Cambridge University Press, 2004); Richard T. Arndt, The First Resort Of Kings: American Cultural Diplomacy In The Twentieth Century (Virgínia: Potomac Books, 2005).View all notes     

Making waves: the valuation of innovations in San Sebastian’s surf economy

This study takes a valuation perspective to study how and where products and innovations are gaining ‘economic significance’ in the contemporary economy. Building on a recent research stream in economic geography and urban and regional studies, it highlights that the economic value of many products is not formed within production systems alone, but relies on co-constructed connections between production and consumption systems, playing out across multiple geographies. It distinguishes between three types of economic valuation pathways – namely technical, experiential and identity-based – which although analytically distinct may actually build and reinforce one another. This approach is empirically illustrated with the case of the surf-related economy in the city of San Sebastian (Basque Country, Spain), which is used to make a broader point about the growing relevance of a valuation approach to understand competitive advantage and economic renewal in localized production systems.     

图照在地方年鉴中的地位和作用

图照是年鉴的重要组成部分 ,是年鉴体裁之一 ,其地位和作用是文字等其他形式无法替代的。地方年鉴图照按类别可分为地图、统计图、照片和线条图等。年鉴所配图照应与相关文字同步 ,实事求是 ,版面清洁 ,标准统一 ,并注明完整的图照信息。配图比例以图文并重为最佳。     

Bayesian Areal Wombling for Geographical Boundary Analysis

In the analysis of spatially referenced data, interest often focuses not on prediction of the spatially indexed variable itself, but on boundary analysis , that is, the determination of boundaries on the map that separate areas of higher and lower values. Existing boundary analysis methods are sometimes generically referred to as wombling , after a foundational article by Womble (1951). When data are available at point level (e.g., exact latitude and longitude of disease cases), such boundaries are most naturally obtained by locating the points of steepest ascent or descent on the fitted spatial surface (Banerjee, Gelfand, and Sirmans 2003). In this article, we propose related methods for areal data (i.e., data which consist only of sums or averages over geopolitical regions). Such methods are valuable in determining boundaries for data sets that, perhaps due to confidentiality concerns, are available only in ecological (aggregated) format, or are only collected this way (e.g., delivery of health-care or cost information). After a brief review of existing algorithmic techniques (including that implemented in the commercial software BoundarySeer), we propose a fully model-based framework for areal wombling, using Bayesian hierarchical models with posterior summaries computed using Markov chain Monte Carlo methods. We explore the suitability of various existing hierarchical and spatial software packages (notably S-plus and WinBUGS) to the task, and show the approach's superiority over existing nonstochastic alternatives, both in terms of utility and average mean square error behavior. We also illustrate our methods (as well as the solution of advanced modeling issues such as simultaneous inference) using colorectal cancer late detection data collected at the county level in the state of Minnesota.