“Critical Making in Collaboration with Nature”, discusses the outcomes of the Making Sustainability Work project from Fall 2020. With support of CoECI Zaaigelden scheme, the Critical Making learning community put together a group of makers from research, education and industry to explore the implications of designing with natural materials and biological processes, such as biopolymers, fungal composites and bacteria dye. By following a selection of modules from the Fabricademy global training program, participants explored hands-on techniques to create their own design materials and colours from renewable and biodegradable resources and documented their journeys. The shared experience was reflected upon in a series of interviews and essays touching on the following questions: • In what way do unruly natural materials challenge ways of doing and teaching design? • How do grown materials fit into or challenge makers’ goals of sustainability?• What is needed to bring biological processes into communities of practice in the field of design, art and making?• How and when does criticality emerge in the making process? • How do processes of thinking and doing intersect and what is the role of social interactions and collaboration?
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In case of a major cyber incident, organizations usually rely on external providers of Cyber Incident Response (CIR) services. CIR consultants operate in a dynamic and constantly changing environment in which they must actively engage in information management and problem solving while adapting to complex circumstances. In this challenging environment CIR consultants need to make critical decisions about what to advise clients that are impacted by a major cyber incident. Despite its relevance, CIR decision making is an understudied topic. The objective of this preliminary investigation is therefore to understand what decision-making strategies experienced CIR consultants use during challenging incidents and to offer suggestions for training and decision-aiding. A general understanding of operational decision making under pressure, uncertainty, and high stakes was established by reviewing the body of knowledge known as Naturalistic Decision Making (NDM). The general conclusion of NDM research is that experts usually make adequate decisions based on (fast) recognition of the situation and applying the most obvious (default) response pattern that has worked in similar situations in the past. In exceptional situations, however, this way of recognition-primed decision-making results in suboptimal decisions as experts are likely to miss conflicting cues once the situation is quickly recognized under pressure. Understanding the default response pattern and the rare occasions in which this response pattern could be ineffective is therefore key for improving and aiding cyber incident response decision making. Therefore, we interviewed six experienced CIR consultants and used the critical decision method (CDM) to learn how they made decisions under challenging conditions. The main conclusion is that the default response pattern for CIR consultants during cyber breaches is to reduce uncertainty as much as possible by gathering and investigating data and thus delay decision making about eradication until the investigation is completed. According to the respondents, this strategy usually works well and provides the most assurance that the threat actor can be completely removed from the network. However, the majority of respondents could recall at least one case in which this strategy (in hindsight) resulted in unnecessary theft of data or damage. Interestingly, this finding is strikingly different from other operational decision-making domains such as the military, police and fire service in which there is a general tendency to act rapidly instead of searching for more information. The main advice is that training and decision aiding of (novice) cyber incident responders should be aimed at the following: (a) make cyber incident responders aware of how recognition-primed decision making works; (b) discuss the default response strategy that typically works well in several scenarios; (c) explain the exception and how the exception can be recognized; (d) provide alternative response strategies that work better in exceptional situations.
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This chapter argues that critical discourse analysis (CDA) provides a fruitful methodology for CES. This is due both to its eclectic, abductive research methodology that engages in a dialogue between, theory(ies), methodology(ies), data and the socio-historical context (Reisigl and Wodak 2009). Secondly, CDA, like other critical approaches, adopts a layered approach to research methodology, focusing from the global to meso and micro aspects of an event, or from social structures, to social institutions and social events, always considering the discursive as being both constituted by and constitutive of social structures. It will illustrate this through a brief description of the discourse-historical dimension in CDA which assumes a distinction between content analysis, the analysis of discursive and argumentative strategies and, finally, the analysis of linguistic features (Reisigl and Wodak, 2001). Those basic assumptions will be illustrated through the description of a theoretical-methodological framework recently employed for the study of the Occupy movement in Spain (Montesano Montessori & Morales Lopez, forthcoming). It shows how a framework was assembled that brought social constructivism, narrative analysis, rhetoric and finally the discourse theoretical concept of ‘rearticulation’ together in order to analyse how the Occupy movement helped Spanish citizens to gain agency and voice. In: R Lamond I., Platt L. (eds). Critical Event Studies. Leisure Studies in a Global Era. Palgrave Macmillan, London
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A decade ago many gushed at the possibilities of 3D printers and other DIY tech. Today makers are increasingly shaking off their initial blind enthusiasm to numerically control everything, rediscovering an interest in sociocultural histories and futures and waking up to the environmental and economic implications of digital machines that transform materials. An accumulation of critique has collectively registered that no tool, service, or software is good, bad, or neutral—or even free for that matter. We’ve arrived at a crossroads, where a reflective pause coincides with new critical initiatives emerging across disciplines.What was making? What is making? What could making become? And what about unmaking? The Critical Makers Reader features an array of practitioners and scholars who address these questions. Together, they tackle issues of technological making and its intersections with (un)learning, art and design, institutionalization, social critique, community organizing, collaboration, activism, urban regeneration, social inequality, and the environmental crisis.
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Objective: To construct the underlying value structure of shared decision making (SDM) models. Method: We included previously identified SDM models (n = 40) and 15 additional ones. Using a thematic analysis, we coded the data using Schwartz’s value theory to define values in SDM and to investigate value relations. Results: We identified and defined eight values and developed three themes based on their relations: shared control, a safe and supportive environment, and decisions tailored to patients. We constructed a value structure based on the value relations and themes: the interplay of healthcare professionals’ (HCPs) and patients’ skills [Achievement], support for a patient [Benevolence], and a good relationship between HCP and patient [Security] all facilitate patients’ autonomy [Self-Direction]. These values enable a more balanced relationship between HCP and patient and tailored decision making [Universalism]. Conclusion: SDM can be realized by an interplay of values. The values Benevolence and Security deserve more explicit attention, and may especially increase vulnerable patients’ Self-Direction. Practice implications: This value structure enables a comparison of values underlying SDM with those of specific populations, facilitating the incorporation of patients’ values into treatment decision making. It may also inform the development of SDM measures, interventions, education programs, and HCPs when practicing.
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This chapter presents Critical Policy Discourse Analysis (CPDA) which merges critical discourse analysis (CDA) with critical policy studies (CPS). CPDA engages with a discursive analysis of a policy problem, generally drawing on critical discourse analysis for its methodology, in this case Text Oriented Discourse Analysis (TODA). The research addresses the problem of complexity reduction in the process of policy-making and illustrates this with an analysis of the UN Agenda “Transforming the World, the 2030 Agenda for Sustainable Development”, which introduces the sustainable development goals (SDGs). It presents the reader with a detailed example of how to perform a TODA research. It indeed reveals mechanisms of policy reduction such as decontextualization, singularization, a limited spatio-temporal frame reduced to the timespan of the UN. It discusses the potential consequences of this for the effectivity of the SDGs and presents alternative theories and voices that do capture the complexity of real life events. The final section suggests further developments in CPDA and advocates bringing complexity to the fore.
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Purpose: This study assesses the perceived quality of the outcomes in decision-making phases by using the conversational ai approach. Design/Method: The research adopts an experimental design to explore the impact of conversational artificial intelligence (AI) in the separate phases of a decision-making making process. This investigation is conducted through a team-level “Shark Tank” game, which serves as a dynamic platform. Findings: The data indicated a discernible pattern across all five steps of the decision-making process. The integration of AI, particularly Conversational AI, consistently improves the perceived quality of decisions, with varying degrees of impact at various stages. Originality/Value: This study contributes by particularly focusing on the conversational AI approach, to discern its efficacy in enhancing decision making processes. It is critical in contributing to the rapidly growing field of AI in decision making, providing a deeper understanding of AI's role in improving decision making quality.
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Differentiates between clinical reasoning for diagnosis, etiology, prognosis, and for interventions. Includes basic knowledge about clinical reasoning and more in-depth knowledge, illustrated with videos. Helps to understand and to critical appraise the common research designs in healthcare scientific literature.
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This book fills an important gap in the sport governance literature by engaging in critical reflection on the concept of ‘good governance’. It examines the theoretical perspectives that lead to different conceptualisations of governance and, therefore, to different standards for institutional quality. It explores the different practical strategies that have been employed to achieve the implementation of good governance principles. The first part of the book aims to shed light on the complexity and nuances of good governance by examining theoretical perspectives including leadership, value, feminism, culture and systems. The second part of the book has a practical focus, concentrating on reform strategies, from compliance policies and codes of ethics to external reporting and integrity systems. Together, these studies shed important new light on how we define and understand governance, and on the limits and capabilities of different methods for inducing good governance. With higher ethical standards demanded in sport business and management than ever before, this book is important reading for all advanced students and researchers with an interest in sport governance and sport policy, and for all sport industry professionals looking to improve their professional practice.
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This teaching toolkit for critical materials research is developed for educators in higher design and arts education. It comes out of a 2-year project funded by the NRO Comenius Teaching Fellowship program at the Amsterdam University of Applied Sciences. The project invited a group of design educators and/or researchers to develop ways to help bachelor students explore making practices that center ecosystems rather than human systems. With this toolkit, we share our tried and tested activities, which take bio-based design materials and their unique properties as a point of departure, and offer hands-on activities to critically engage in sustainable material research.
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