War against the experts: The 2020 staff tsunami in culture

Maska ◽  
2021 ◽  
Vol 36 (201-202) ◽  
pp. 48-65
Author(s):  
Tjaša Pureber

The Slovenian government changed the leadership of several state museums in 2020. Highly politicized changes in cultural insti-tutions were happening in the past as well, but never before have we seen such systematic pushing out of experts. The Ministry of Culture declared a war on expertise. With their methodology of leadership changes, they reinforced a tectonic break with expert based decision making, to a cultural policy that prefers decision making based on highly politicized opinions of politicians. I am researching the latest wave of leadership changes through concrete case studies.

Author(s):  
Rui Lobo ◽  
Cátia Santos

The subject of History of Portuguese Architecture (HAP) originated in the School of Fine Arts of Oporto, more than three decades ago, under mastership of the Professor and Architect Alexandre Alves Costa.At the Architecture Course of FCTUC – Faculty of Sciences andTechnology of the University of Coimbra, HAP has been present from the very beginning. It started in 1992-93, as a subject of the 5th year, under the same Alexandre Alves Costa, then member of the Installing Commission of the course. Other professors who have ensured the subject in the last decade were Walter Rossa and the late Paulo Varela Gomes in addition to Rui Lobo, lecturer for the past five years.History of Portuguese Architecture, which now operates withinthe 4th year of the Architecture Course, has always had an essential practical component. By carrying out practical group work on concrete case studies, students are expected to learn how to investigate, how to search for and collect information and how to distinguish the various "life phases” of architectural objects, from their original structure to what still stands today. It is also intended that students learn to use contemporary means to rehearse and to display the research, lacing hypotheses and illustrating more or less plausible stages of the evolution of the studied objects in time.The themes are chosen by the groups (formed by 4 to 6 students)from an extended list previously proposed by the teachers. The study cases concern mainly Coimbra and Portugal’s central region, for obvious reasons of proximity, although cases are often proposed (and accepted by the students) in other areas of the country.


2017 ◽  
Author(s):  
Eugenia Isabel Gorlin ◽  
Michael W. Otto

To live well in the present, we take direction from the past. Yet, individuals may engage in a variety of behaviors that distort their past and current circumstances, reducing the likelihood of adaptive problem solving and decision making. In this article, we attend to self-deception as one such class of behaviors. Drawing upon research showing both the maladaptive consequences and self-perpetuating nature of self-deception, we propose that self-deception is an understudied risk and maintaining factor for psychopathology, and we introduce a “cognitive-integrity”-based approach that may hold promise for increasing the reach and effectiveness of our existing therapeutic interventions. Pending empirical validation of this theoretically-informed approach, we posit that patients may become more informed and autonomous agents in their own therapeutic growth by becoming more honest with themselves.


2020 ◽  
Vol 13 (2) ◽  
pp. 317-337
Author(s):  
Jan Kunnas

While geologists are still considering whether the Anthropocene should be accepted as a formal geological epoch, it is up to us humanists to search for ways making this human era a good one. In this article, I will examine how we can use historical research to provide such tracks based on past regularities or similarities. Positive success stories from the past can at least provide faith that we can do something about our current environmental problems. This investigation is based on two case studies: the Tesla Model S electric car, and the Swedish pulp and paper industry's transition to chlorine-free bleaching. It argues that the sustainability revolution doesn't just share similarities with the quality movement of the 1970s and 1980s, but is essentially a continuation of it. In concordance with previous megatrends, the major benefit of the sustainability revolution will be reaped by countries and companies running ahead of the curve. A new term, 'trail-blazer dependency' is introduced; by setting an example, the first-movers are opening a trail for late-comers to follow.


This is the first book to treat the major examples of megadrought and societal collapse, from the late Pleistocene end of hunter–gatherer culture and origins of cultivation to the 15th century AD fall of the Khmer Empire capital at Angkor, and ranging from the Near East to South America. Previous enquiries have stressed the possible multiple and internal causes of collapse, such overpopulation, overexploitation of resources, warfare, and poor leadership and decision-making. In contrast, Megadrought and Collapse presents case studies of nine major episodes of societal collapse in which megadrought was the major and independent cause of societal collapse. In each case the most recent paleoclimatic evidence for megadroughts, multiple decades to multiple centuries in duration, is presented alongside the archaeological records for synchronous societal collapse. The megadrought data are derived from paleoclimate proxy sources (lake, marine, and glacial cores; speleothems, or cave stalagmites; and tree-rings) and are explained by researchers directly engaged in their analysis. Researchers directly responsible for them discuss the relevant current archaeological records. Two arguments are developed through these case studies. The first is that societal collapse in different time periods and regions and at levels of social complexity ranging from simple foragers to complex empires would not have occurred without megadrought. The second is that similar responses to megadrought extend across these historical episodes: societal collapse in the face of insurmountable climate change, abandonment of settlements and regions, and habitat tracking to sustainable agricultural landscapes. As we confront megadrought today, and in the likely future, Megadrought and Collapse brings together the latest contributions to our understanding of past societal responses to the crisis on an equally global and diverse scale.


Author(s):  
John Hunsley ◽  
Eric J. Mash

Evidence-based assessment relies on research and theory to inform the selection of constructs to be assessed for a specific assessment purpose, the methods and measures to be used in the assessment, and the manner in which the assessment process unfolds. An evidence-based approach to clinical assessment necessitates the recognition that, even when evidence-based instruments are used, the assessment process is a decision-making task in which hypotheses must be iteratively formulated and tested. In this chapter, we review (a) the progress that has been made in developing an evidence-based approach to clinical assessment in the past decade and (b) the many challenges that lie ahead if clinical assessment is to be truly evidence-based.


2021 ◽  
Vol 42 (02) ◽  
pp. 191-195

Good reviewers are essential to the success of any journal and peer review is a major pillar of science. We are grateful to those mentioned below to have dedicated their time and expertise to help our authors improve and refine their manuscripts and support the Editor(s) in the decision making process in the past year.


2020 ◽  
Vol 114 ◽  
pp. 242-245
Author(s):  
Jootaek Lee

The term, Artificial Intelligence (AI), has changed since it was first coined by John MacCarthy in 1956. AI, believed to have been created with Kurt Gödel's unprovable computational statements in 1931, is now called deep learning or machine learning. AI is defined as a computer machine with the ability to make predictions about the future and solve complex tasks, using algorithms. The AI algorithms are enhanced and become effective with big data capturing the present and the past while still necessarily reflecting human biases into models and equations. AI is also capable of making choices like humans, mirroring human reasoning. AI can help robots to efficiently repeat the same labor intensive procedures in factories and can analyze historic and present data efficiently through deep learning, natural language processing, and anomaly detection. Thus, AI covers a spectrum of augmented intelligence relating to prediction, autonomous intelligence relating to decision making, automated intelligence for labor robots, and assisted intelligence for data analysis.


2021 ◽  
Vol 13 (11) ◽  
pp. 5848
Author(s):  
Isaías Gomes ◽  
Rui Melicio ◽  
Victor M. F. Mendes

This paper presents a computer application to assist in decisions about sustainability enhancement due to the effect of shifting demand from less favorable periods to periods that are more convenient for the operation of a microgrid. Specifically, assessing how the decisions affect the economic participation of the aggregating agent of the microgrid bidding in an electricity day-ahead market. The aggregating agent must manage microturbines, wind systems, photovoltaic systems, energy storage systems, and loads, facing load uncertainty and further uncertainties due to the use of renewable sources of energy and participation in the day-ahead market. These uncertainties cannot be removed from the decision making, and, therefore, require proper formulation, and the proposed approach customizes a stochastic programming problem for this operation. Case studies show that under these uncertainties and the shifting of demand to convenient periods, there are opportunities to make decisions that lead to significant enhancements of the expected profit. These enhancements are due to better bidding in the day-ahead market and shifting energy consumption in periods of favorable market prices for exporting energy. Through the case studies it is concluded that the proposed approach is useful for the operation of a microgrid.


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