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In: Canadian parliamentary review, Band 28, Heft 1, S. 22-23
ISSN: 0707-0837, 0229-2548
In: Canadian parliamentary review, Band 24, Heft 2, S. 5-7
ISSN: 0707-0837, 0229-2548
Recently we have witnessed a number of rapid shifts toward populism in the rhetoric and policies of major political parties, as exemplified in the 2016 Brexit Referendum, 2016 US Election, and 2017 UK General Election. Our perspective here is to focus on understanding the underlying societal processes behind these recent political shifts. We use novel methods to study social dynamics behind the 2016 Presidential election. This is done by using network science methods to identify key groups associated with the US right-wing during the election. We investigate how the groups grew on Twitter, and how their associated accounts changed their following behaviour over time. We find a new external faction of Trump supporters took a strong influence over the traditional Republican Party (GOP) base during the election campaign. The new group dominated the GOP group in terms of new members and endorsement via Twitter follows. Growth of new accounts for the GOP party all but collapsed during the campaign. While the Alt-right group was growing exponentially, it has remained relatively isolated. Counter to the mainstream view, we detected an unexpectedly low number of automated 'bot' accounts and accounts associated with foreign intervention in the Trump-supporting group. Our work demonstrates a powerful method for tracking the evolution of societal groups and reveals complex social processes behind political changes.
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In: Sociologia ruralis, Band 53, Heft 3, S. 311-330
ISSN: 1467-9523
AbstractThis article is framed by the 900‐plus year old debate on the importance of academic freedom for democracy and human progress outlined by Karran. In particular, it discusses some contemporary threats to academic freedom in relation to the role of researchers and research institutes in the public policy process. Using a series of recent case studies of attempts to interfere with the publication of research findings in key sensitive policy areas of genetically modified foodstuffs, climate change, and agriculture, it is argued that while academic freedom plays a crucial role in relation to the development of public policies, it is currently under threat. This matter is discussed within a framework that allows the understanding of the relationship between researchers and the intervening State, the corporate and non‐government sectors with economic or social interests in any particular intervention, the media, and citizens. We apply the framework to recent cases in several controversial areas of policy that illustrate problems that have arisen. Moreover, we hypothesise that the problems have become more acute since the start of the era of privatisation and new public management with research agendas and targets often being increasingly set by policymakers. Finally, we draw some conclusions about the role of researchers and institutes in relation to agricultural and rural matters in modern democracies, arguing that freedom of speech and expression is an essential element in the policy role of researchers. At the root of this is the intensifying debate between representative and participatory democracy.
In: Land use policy: the international journal covering all aspects of land use, Band 24, Heft 1, S. 24-34
ISSN: 0264-8377
In: Mellen studies in geography 9
In: Economica, Band 41, Heft 162, S. 230
How did the development of two small countries at the north of Europe, whose histories were joined from about the year 795 AD - including a 300-year alliance - nevertheless diverge sharply in the modern era? This edited collection of essays covers various elements of this analysis including land ownership, politics, agriculture, industry, money and banking, local government, education, religion, access and the outdoor life, as well as several more synthetic chapters. Written as it is by historians, political scientists, economists, sociologists, anthropologists and human geographers, the book moves beyond historical narrative, and outlines elements of a theory of divergent development between Norway and Scotland over the long term, and so towards a novel history which will be of interest to a wider audience. Key Features: * Focus on key periods of intensive relationships between Scotland and Norway *New analysis of the differences between the two countries after the medieval period *Clear information and analysis of how Norway changed after independence from Denmark *Policy ideas on 'independence' issues such as natural resources and land rights *Exclusive essays from established and new scholars
In: Document / Kommission der Europäischen Gemeinschaften
World Affairs Online
In: Journal of terrorism research: TR, Band 7, Heft 2, S. 1
ISSN: 2049-7040
In: Methodos Ser. v.13
Intro -- Foreword -- References -- Acknowledgements -- Contents -- Acronyms -- Part I Agent-Based Models -- 1 Introduction -- 1.1 Overview -- 1.2 Artificial Life as Digital Biology -- 1.2.1 Artificial Life as Empirical Data-Point -- 1.3 Social Simulation and Sociological Relevance -- 1.3.1 Methodological Concerns in Social Simulation -- 1.4 Case Study: Schelling's Residential Segregation Model -- 1.4.1 Implications of Schelling's Model -- 1.5 Social Simulation in Application: The Case of Demography -- 1.5.1 Building Model-Based Demography -- 1.6 General Summary -- 1.6.1 Alife Modelling -- 1.6.2 Simulation for the Social Sciences -- 1.6.3 Schelling's Model as a Case Study in Modelling -- 1.6.4 Developing a Model-Based Demography -- 1.6.5 General Conclusions of the Text: Messages for the Modeller -- 1.6.6 Chapter Summaries -- 1.6.7 Contributions -- References -- 2 Simulation and Artificial Life -- 2.1 Overview -- 2.2 Introduction to Simulation Methodology -- 2.2.1 The Goals of Scientific Modelling -- 2.2.2 Mathematical Models -- 2.2.3 Computational Models -- 2.2.4 The Science Versus Engineering Distinction -- 2.2.5 Connectionism: Scientific Modelling in Psychology -- 2.2.6 Bottom-Up Modelling and Emergence -- 2.3 Evolutionary Simulation Models and Artificial Life -- 2.3.1 Genetic Algorithms and Genetic Programming -- 2.3.2 Evolutionary Simulations and Artificial Life -- 2.3.3 Bedau and the Challenges Facing ALife -- 2.4 Truth in Simulation: The Validation Problem -- 2.4.1 Validation and Verification in Simulation -- 2.4.2 The Validation Process in Engineering Simulations -- 2.4.3 Validation in Scientific Simulations: Concepts of Truth -- 2.4.4 Validation in Scientific Models: Kuppers and Lenhard Case Study -- 2.5 The Connection Between Theory and Simulation -- 2.5.1 Simulation as `Miniature Theories'.