scholarly journals Political Decision Making in the COVID-19 Pandemic: The Case of Germany from the Perspective of Risk Management

Author(s):  
Frank Daumann ◽  
Florian Follert ◽  
Werner Gleißner ◽  
Endre Kamarás ◽  
Chantal Naumann

The COVID-19 pandemic is permanently changing modern social and economic coexistence. Most governments have declared infection control to be their top priority while citizens face great restrictions on their civil rights. A pandemic is an exemplary scenario in which political actors must decide about future, and thus uncertain, events. This paper tries to present a tool well established in the field of entrepreneurial and management decision making which could also be a first benchmark for political decisions. Our approach builds on the standard epidemiological SEIR model in combination with simulation techniques used in risk management. By our case study we want to demonstrate the opportunities that risk management techniques, especially risk analyses using Monte Carlo simulation, can provide to policy makers in general, and in a public health crisis in particular. Hence, our case study can be used as a framework for political decision making under incomplete information and uncertainty. Overall, we want to point out that a health policy that aims to provide comprehensive protection against infection should also be based on economic criteria. This is without prejudice to the integration of ethical considerations in the final political decision.

2010 ◽  
Vol 28 (3) ◽  
pp. 156-175 ◽  
Author(s):  
Hartwig Pautz

Germany's parliamentary democracy appears to be in crisis. The major parties' membership is in decline and barely existing in East Germany, election turnout is decreasing at all levels, and the reputation of politicians has never been worse. At the same time, however, Germans are more interested in politics than in the 1990s, overwhelmingly support democracy, and are keen on participating particularly in local political decision making. Out of this situation emerged www.abgeordnetenwatch.de— a website that aims to re-establish the link between electors and elected by allowing voters and representatives to communicate via a publicly accessible question-andanswer structure. This article addresses the questions of whether such an instrument can revitalize representative democracy and whether it has done so in the context of the 2009 federal elections.


Author(s):  
Makhsad Isabayev Bakhodirovich ◽  

In this scientific article, international and national legislation on citizens decision-making processes has been investigated, to what extent is the importance of public control in the process of political decision-making, the implementation of citizens' participation in local government directly by itself or through elected representatives (political institutions). Also, practical proposals aimed at increasing the participation of public structures in decision-making were made.


Author(s):  
Marcus Maurer

Political agenda setting is the part of agenda-setting research that refers to the influence of the media agenda on the agenda of political actors. More precisely, the central question of political agenda-setting research is whether political actors adopt the issue agenda of the news media in various aspects ranging from communicating about issues that are prominently discussed in the news media to prioritizing issues from the news media agenda in political decision making. Although such effects have been studied under different labels (agenda building, policy agenda setting) for several decades, research in this field has recently increased significantly based on a new theoretical model introducing the term political agenda setting. Studies based on that model usually find effects of media coverage on the attention political actors pay to various issues, but at the same time point to a number of contingent conditions. First, as found in research on public agenda setting, there is an influence of characteristics of news media (e.g., television news vs. print media) and issues (e.g., obtrusive vs. unobtrusive issues). Second, there is an influence of characteristics of the political context (e.g., government vs. oppositional parties) and characteristics of individual politicians (e.g., generalists vs. specialists). Third, the findings of studies on the political agenda-setting effect differ, depending on which aspects of the political agenda are under examination (e.g., social media messages vs. political decision making).


2007 ◽  
Vol 13 (1) ◽  
pp. 75
Author(s):  
Monica Russell

The book Naked Ape to Superspecies outlines some of the most disturbing issues associated with the environment on a world scale and highlights the constant growing pressure we are placing on our environment. David Suzuki (Canadian science broadcaster, geneticist, public lecturer, and environmental and civil rights activist) and Holly Dressel (environmentalist and writer/researcher), authors of Good News for a Change (1997) imply that the human species is at a turning point in time so significant to our existence that if changes arc not made now, not only in our way of thinking but in our underlying economical, social and political decision making, we will ultimately destroy the environment.


2021 ◽  
Vol 5 (1) ◽  
pp. 3-22
Author(s):  
Sergey Fedorchenko ◽  
E. Karlyavina

The main purpose of the article is to study technologies of a smart city to identify the prospects for digital democracy and risks of digital totalitarianism. The basic methodological optics is the discourse analysis, which involves the identification and comparative analysis of various concepts on the selected issues. The supporting methodology was the Case Study principles and the big data analysis capabilities of the Google Trends platform. The article makes a theoretical contribution to the understanding of the algorithmic nature of modern political power, which is the basis of urban technopolitics, as well as the complex configuration of Policy and Politics. Algorithms, as the fundamental basis of digital applications and smart city technologies, are beginning to permeate the entire life of a citizen, closely intertwining with the mechanisms of digital control, rating, political decision-making, extraction, filtering and sorting of information data. It is particularly emphasized that the traditional social reality is transformed into a sociotechnical reality (the phygital world), in which it is no longer possible to rigidly separate the social from the technical. The conclusions indicate that digital democracy is possible only on the principles of open source, while digital totalitarianism, on the contrary, excludes such a model. Without the inclusion of smart citizens, the process of discussion and political decision-making, digital democracy is simply emasculated into a good, but still narrow service on the part of the authorities. In addition, without comprehensive programs in the field of political education, there will be no digital democracy, no smart citizens, only a smart elite will remain.


Author(s):  
Lin Qiu ◽  
Riyang Phang

Political systems involve citizens, voters, politicians, parties, legislatures, and governments. These political actors interact with each other and dynamically alter their strategies according to the results of their interactions. A major challenge in political science is to understand the dynamic interactions between political actors and extrapolate from the process of individual political decision making to collective outcomes. Agent-based modeling (ABM) offers a means to comprehend and theorize the nonlinear, recursive, and interactive political process. It views political systems as complex, self-organizing, self-reproducing, and adaptive systems consisting of large numbers of heterogeneous agents that follow a set of rules governing their interactions. It allows the specification of agent properties and rules governing agent interactions in a simulation to observe how micro-level processes generate macro-level phenomena. It forces researchers to make assumptions surrounding a theory explicit, facilitates the discovery of extensions and boundary conditions of the modeled theory through what-if computational experiments, and helps researchers understand dynamic processes in the real-world. ABM models have been built to address critical questions in political decision making, including why voter turnouts remain high, how party coalitions form, how voters’ knowledge and emotion affect election outcomes, and how political attitudes change through a campaign. These models illustrate the use of ABM in explicating assumptions and rules of theoretical frameworks, simulating repeated execution of these rules, and revealing emergent patterns and their boundary conditions. While ABM has limitations in external validity and robustness, it provides political scientists a bottom-up approach to study a complex system by clearly defining the behavior of various actors and generate theoretical insights on political phenomena.


Author(s):  
David Mangold ◽  
W. Kent Muhlbauer ◽  
Jim Ponder ◽  
Tony Alfano

Risk management of pipelines is a complex challenge due to the dynamic environment of the real world coupled with a wide range of system types installed over many decades. Various methods of risk assessment are currently being used in industry, many of which utilize relative scoring. These assessments are often not designed for the new integrity management program (IMP) requirements and are under direct challenge by regulators. SemGroup had historically used relative risk assessment methodologies to help support risk management decision-making. While the formality offered by these early methods provided benefits, it was recognized that, in order to more effectively manage risk and better meet the United States IMP objectives, a more effective risk assessment would be needed. A rapid and inexpensive migration into a better risk assessment platform was sought. The platform needed to be applicable not only to pipeline miles, but also to station facilities and all related components. The risk results had to be readily understandable and scalable, capturing risks from ‘trap to trap’ in addition to risks accompanying each segment. The solution appeared in the form a quantitative risk assessment that was ‘physics based’ rather than the classical statistics based QRA. This paper will outline the steps involved in this transition process and show how quantitative risk assessment may be efficiently implemented to better guide integrity decision-making, illustrated with a case study from SemGroup.


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