scholarly journals This Is the Way the World Ends, Not With a Bang but Bonds and Bullets

2021 ◽  
Vol 3 ◽  
Author(s):  
James Ming Chen

This article explores instinctive frames of human decision-making in environmental and resource economics. Higher-moment asset pricing combines rational, mathematically informed economic reasoning with psychological and biological insights. Leptokurtic blindness and skewness preference combine in particularly challenging ways for carbon mitigation. At their worst, human heuristics may generate perverse decisions. Information uncertainty and the innate preference for bonds-and-bullets portfolios may impair responses to catastrophic climate change.

1981 ◽  
Vol 32 (3) ◽  
pp. 173 ◽  
Author(s):  
C. S. Huxham ◽  
P. G. Bennett ◽  
M. V. Lozowski ◽  
M. R. Dando

2018 ◽  
Vol 3 (1) ◽  
pp. 1-12
Author(s):  
Thais Spiegel ◽  
Ana Carolina P V Silva

In the study of decision-making, the classical view of behavioral appropriateness or rationality was challenged by neuro and psychological reasons. The “bounded rationality” theory proposed that cognitive limitations lead decision-makers to construct simplified models for dealing with the world. Doctors' decisions, for example, are made under uncertain conditions, as without knowing precisely whether a diagnosis is correct or whether a treatment will actually cure a patient, and often under time constraints. Using cognitive heuristics are neither good nor bad per se, if applied in situations to which they have been adapted to be helpful. Therefore, this text contextualizes the human decision-making perspective to find descriptions that adhere more closely to the human decision-making process. Then, based on a literature review of cognition during decision-making, particularly in healthcare context, it addresses a model that identifies the roles of attention, categorization, memory, emotion, and their inter-relations, during the decision-making process.


2015 ◽  
Vol 105 (5) ◽  
pp. 396-401 ◽  
Author(s):  
Saurabh Bhargava ◽  
George Loewenstein

Policymakers have recently embraced Behavioral Economics as an alternative approach which recognizes the limits and consequences of human decision-making. Early applications of BE (“nudges”) produced notable successes and helped to set the stage for more aggressive applications aimed at the deeper causes of policy problems. We contend that policies that aspire to simplify products and incentives, rather than choice environments, aggressively protect consumers from behavioral exploitation, and leverage BE to enhance the design and implementation of traditional policy instruments offer solutions commensurate with contemporary challenges. Case studies in health insurance, privacy, and climate change illustrate the application of these ideas.


2020 ◽  
pp. 251-258
Author(s):  
Anders Esmark

Taking up the case of climate change, the conclusion considers the argument for moretechnocracy in the face of ‘the end world as we know it’. Climate change is probably the strongest case for a technocratic model of political decision-making. At the very least, insufficient political adherence to the scientific evidence on climate change is an almost commonsensical part of the problem of in the current state of affairs. While fully acknowledging this problem, the chapter argues that attention to the destructive and mutually reinforcing interplay of technocracy and populism is necessary also in to the all-important challenge of climate change.


2021 ◽  
pp. 1-23
Author(s):  
Lisa Herzog

Abstract More and more decisions in our societies are made by algorithms. What are such decisions like, and how do they compare to human decision-making? I contrast central features of algorithmic decision-making with three key elements—plurality, natality, and judgment—of Hannah Arendt's political thought. In “Arendtian practices,” human beings come together as equals, exchange arguments, and make joint decisions, sometimes bringing something new into the world. With algorithmic decision-making taking over more and more areas of life, opportunities for “Arendtian practices” are under threat. Moreover, there is the danger that algorithms are tasked with decisions for which they are ill-suited. Analyzing the contrast with Arendt's thinking can be a starting point for delineating realms in which algorithmic decision-making should or should not be welcomed.


2018 ◽  
Vol 24 (2) ◽  
pp. 207
Author(s):  
Arturo Izurieta ◽  
Byron Delgado ◽  
Nicolas Moity ◽  
Monica Calvopiña ◽  
Iván Cedeño ◽  
...  

Galápagos is one of the most pristine archipelagos in the world and its conservation relies upon research and sensible management. In recent decades both the interest in, and the needs of, the islands have increased, yet the funds and capacity for necessary research have remained limited. It has become, therefore, increasingly important to identify areas of priority research to assist decision-making in Galápagos conservation. This study identified 50 questions considered priorities for future research and management. The exercise involved the collaboration of policy makers, practitioners and researchers from more than 30 different organisations. Initially, 360 people were consulted to generate 781 questions. An established process of preworkshop voting and three rounds to reduce and reword the questions, followed by a two-day workshop, was used to produce the final 50 questions. The most common issues raised by this list of questions were human population growth, climate change and the impact of invasive alien species. These results have already been used by a range of organisations and politicians and are expected to provide the basis for future research on the islands so that its sustainability may be enhanced.


2017 ◽  
Vol 9 (4) ◽  
pp. 808-821
Author(s):  
Theresia Oedl-Wieser

Abstract Women in mountain regions play an important role regarding the agricultural production and ensuring sustainable livelihoods. Furthermore, they are active in climate change adaption and preservation of biodiversity. Despite these important activities and performances the vital role of women for a sustainable and social inclusive development in mountain regions is often invisible and not appreciated enough in society. There still exists structural discrimination of women which is caused by patriarchal societies, social and cultural norms as well as difficult economic situations. Considering the need to foster the dynamic and sustainable development of mountain regions all over the world, it is of paramount importance to reflect and integrate women’s issues, problems and needs to a larger extent in research, public policy and in worldwide decision-making agendas.


2020 ◽  
Vol 9 (1) ◽  
pp. 54-68
Author(s):  
Linda Kronman

The urgency of environmental, security, economic and political crises in the early twenty-first century has propelled the use of machine vision to aid human decision-making. These developments have led to strategies in which functions of human intuitive processing have been externalized to ‘vision machines’ in the hope of optimized and objective insights. I argue that we should approach these replacements of human nonconscious functions as ‘intuition machines.’ I apply this approach through a close reading of artworks which expose the hid- den labour required to train a machine. These artworks demonstrate how human agency shapes the ways that machines perceive the world and reveal how values and biases are hardcoded into nonconscious cognitive machine vision systems. Thus, my analysis suggests that decisions made by such systems cannot be considered fundamentally objective or true. Nevertheless, artworks also exemplify how externalized intuitive processing can still be helpful as long as we refrain from blindly taking the results as a go-signal to take immediate action.


Author(s):  
Hill and

As climate change advances and its impacts become clearer, more and more communities around the world will need deeper insight into the future, both immediate and distant. Decision-makers will require information to make high-impact, hard-to-reverse decisions about water, agriculture, and where and how to build infrastructure in a world experiencing climate change. They must model the projected evolution of droughts, heatwaves, and wildfires so that they can help people get out of harm’s way, and they will need data to make disaster-relief operations more effective. The world’s capacity to collect and analyze climate and weather data has exploded. Yet many of the people who need these data lack both access to them and the means to make them useful for decision-making. This chapter describes this data paradox and offer a few ideas on how to escape it.


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