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Challenges, triggers and initiators of climate policies and implications for policy formulation
(2020)
The COVID-19 virus has hit Germany as unexpectedly as other European countries. For a few weeks, Germans thought that COVID-19 was an issue for Asian states and not for their country. Although Germany continues to be affected by the coronavirus, the situation is nowhere as dire as it was in Britain, Italy or Spain. The race to lift restrictions in Germany began in May, and by early June, the country may be back to normal. Germany, with its enormous financial resources and a well-equipped medical sector, appears to be better placed than other economies to weather the storm.
Germany as a leading power
(2020)
New technological applications such as Augmented Reality or Massive Open Online Courses (MOOCs) lead to alternative ways of learning. In order to be able to use this to its potential, the promotion of digital competencies “Digital Competence is the set of knowledge, skills, attitudes, abilities, strategies, and awareness that are required when using ICT and digital media to perform tasks; solve problems; communicate; manage information; collaborate; create and share content; and build knowledge effectively, efficiently, appropriately, critically, creatively, autonomously, flexibly, ethically, reflectively for work, le sure, participation, learning, and socialising.” (Ferrari, 2012). and a corresponding amount of practical "learning-by-doing" effects is required (cf. Ecker/Campbell 2019, p. 154). For this purpose, spaces and framework conditions must be created for application-based learning, which is also increasingly required by the employment market. In this context, we take a closer look at a new emerging subculture in university infrastructure called Maker Movement (MM). Our research work aims at investigating the pedagogical potential of particularly university-integrated makerspaces (MS) to enhance experiential learning with digital tools. To decode the innovative potential, we collected qualitative data from nine in-depth, semi-structured interviews with lab managers and researchers at European MS in six different countries.
Comparative methods B
(2020)
This chapter outlines the relevance and value of comparative approaches and methods in studying Public Administration (PA). It discusses the roots and current developments of comparative research in PA and discusses various methodological venues for cross-country comparisons, such as most similar/dissimilar systems designs, the method of concomitant variation and the difference-in-difference method. Besides the description of these approaches, we highlight their conceptual value for theory-driven empirical comparative research. Drawing on selected pieces of comparative research, the chapter furthermore provides examples for the application of comparative methods in practice presenting empirical findings and highlighting strengths and weaknesses. The chapter finally emphasizes that the methodological development in comparative PA research has by far not yet reached its end, and that some future challenges need to be addressed, such as the issues of causality, generalizability, and mixed-methods approaches.
This chapter outlines the organization and allocation of functions at the meso-level of government in Germany (states/Länder administrations). Furthermore, we shed light on the carriers and qualification profiles of the top bureaucrats in meso-level administrations. These high-rank territorial administrators/executives—state appointed heads of administrative districts (Regierungspräsidenten) on the one hand, elected heads of county administrations (Landräte) on the other hand—can be regarded as the German ‘equivalents’ of the prefects in countries with a Napoleonic administrative tradition. Finally, we analyse major reforms that have led to (at times, profound) transformations in territorial administrations, raising the question of to what extent alternative models of territorial bundling and coordination functions are sound and sustainable.
Modern laser technology and ultrafast spectroscopies have pushed the timescales for detecting and manipulating dynamical processes in molecules from the picosecond over femtosecond domains, to the attosecond regime (1 as = 10(-18) s). This way, real-time dynamics of electrons after their photoexcitation can be probed and manipulated. In particular, experiments are moving more and more from atomic and solid state systems to molecules, opening the fields of "molecular electron dynamics" and "attosecond chemistry." Also on the theory side, powerful quantum dynamical tools have been developed to rationalize experiments on ultrafast electron dynamics in molecular species. <br /> In this contribution, we concentrate on theoretical aspects of ultrafast electron dynamics in molecules, mostly driven by lasers. The dynamics will be described with the help of wavefunction-based ab initio methods such as time-dependent configuration interaction (TD-CI) or the multiconfigurational time-dependent Hartree-Fock (MCTDHF) methods. Besides a survey of the methods and their extensions toward, e.g., treatment of ionization, laser pulse optimization, and open quantum systems, two specific examples of applications will be considered: The creation and/or dynamical fate of electronic wavepackets, and the nonlinear optical response to laser pulse excitation in molecules by high harmonic generation (HHG).
As part of the digitization, the role of artificial systems as new actors in knowledge-intensive processes requires to recognize them as a new form of knowledge bearers side by side with traditional knowledge bearers, such as individuals, groups, organizations. By now, artificial intelligence (AI) methods were used in knowledge management (KM) for knowledge discovery, for the reinterpreting of information, and recent works focus on the studying of different AI technologies implementation for knowledge management, like big data, ontology-based methods and intelligent agents [1]. However, a lack of holistic management approach is present, that considers artificial systems as knowledge bearers. The paper therefore designs a new kind of KM approach, that integrates the technical level of knowledge and manifests as Neuronal KM (NKM). Superimposing traditional KM approaches with the NKM, the Symbiotic Knowledge Management (SKM) is conceptualized furthermore, so that human as well as artificial kinds of knowledge bearers can be managed as symbiosis. First use cases demonstrate the new KM, NKM and SKM approaches in a proof-of-concept and exemplify their differences.