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  • 1
    Publication Date: 2012-02-01
    Print ISSN: 0932-383X
    Electronic ISSN: 1613-7620
    Topics: Electrical Engineering, Measurement and Control Technology , Computer Science
    Published by Springer
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  • 2
    Publication Date: 2022-05-19
    Description: Die Wissenschaftsplattform Nachhaltigkeit 2030 ist ein zentraler Ort der Wissenschaft, an dem sie drängende Fragen der Nachhaltigkeits-politik reflektiert und diskutiert – im Austausch mit Politik, Wirtschaft und Gesellschaft. Wissen für Nachhaltigkeit wird dort zusammengetragen und weitergetragen, insbesondere im Hinblick auf die Umsetzung der Deutschen Nachhaltigkeits-strategie. Die Plattform arbeitet unabhängig und ist systematisch eingebunden in den offiziellen politischen Steuerungs-, Dialog- und Umsetzungsprozess der Agenda 2030. Träger der Plattform sind SDSN Germany, DKN Future Earth und das IASS Potsdam.
    Language: German
    Type: info:eu-repo/semantics/workingPaper
    Format: application/pdf
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  • 3
    Publication Date: 2022-05-19
    Description: We present the main messages of a European Expert Round Table (ERT) on the unintended side effects (unseens) of the digital transition. Seventeen experts provided 42 propositions from ten different perspectives as input for the ERT. A full-day ERT deliberated communalities and relationships among these unseens and provided suggestions on (i) what the major unseens are; (ii) how rebound effects of digital transitioning may become the subject of overarching research; and (iii) what unseens should become subjects of transdisciplinary theory and practice processes for developing socially robust orientations. With respect to the latter, the experts suggested that the “ownership, economic value, use and access of data” and, related to this, algorithmic decision-making call for transdisciplinary processes that may provide guidelines for key stakeholder groups on how the responsible use of digital data can be developed. A cluster-based content analysis of the propositions, the discussion and inputs of the ERT, and a theoretical analysis of major changes to levels of human systems and the human–environment relationship resulted in the following greater picture: The digital transition calls for redefining economy, labor, democracy, and humanity. Artificial Intelligence (AI)-based machines may take over major domains of human labor, reorganize supply chains, induce platform economics, and reshape the participation of economic actors in the value chain. (Digital) Knowledge and data supplement capital, labor, and natural resources as major economic variables. Digital data and technologies lead to a post-fuel industry (post-) capitalism. Traditional democratic processes can be (intentionally or unintentionally) altered by digital technologies. The unseens in this field call for special attention, research and management. Related to the conditions of ontogenetic and phylogenetic development (humanity), the ubiquitous, global, increasingly AI-shaped interlinkage of almost every human personal, social, and economic activity and the exposure to indirect, digital, artificial, fragmented, electronically mediated data affect behavioral, cognitive, psycho-neuro-endocrinological processes on the level of the individual and thus social relations (of groups and families) and culture, and thereby, the essential quality and character of the human being (i.e., humanity). The findings suggest a need for a new field of research, i.e., focusing on sustainable digital societies and environments, in which the identification, analysis, and management of vulnerabilities and unseens emerging in the sociotechnical digital transition play an important role.
    Type: info:eu-repo/semantics/article
    Format: application/pdf
    Format: application/zip
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  • 4
    Publication Date: 2022-07-28
    Description: We present a Strengths, Vulnerability, and Intervention Assessment related to Digital Threats (SVIDT) method, which provides a problem structuring and decision support for organizational vulnerability and resilience management with respect to changes of the digital transition. The method starts from (i) a multi-level actor analysis, (ii) identifies strengths and weaknesses of organizations, (iii) constructs digital threat scenarios and provides judgment-based expert assessments on the organization's vulnerability, (iv) develops intervention scenarios for tangible threat scenarios, and (v) suggests win-win action scenarios when referring to the multi actor system analysis as for strategic management. A first validation and application includes a structural analysis of the response patterns and a quantitative and qualitative appraisal of the organizations’ managers. This validation is based on an application of the method to 18 German and Austrian organizations of different types and magnitude. We show how the basic concepts of vulnerability (i.e., sensitivity, exposure adaptive capacity) can be quantitatively operationalized when constructing consistent combinations of threat and intervention scenarios. The validation approaches indicate that the method provides meaningful data and assessments and that the managers provided a positive feedback on the method and the recommendations which they received. It is further deliberated whether the assessment method supports organizations’ specified resilience management in an overly complex, systemic digital transition in a (semi) quantitative manner. In addition, we discuss needs for future research regarding practical utility of SVIDT, as well as the positioning of SVIDT in relation to soft operational methods and other methods of operational research.
    Language: English
    Type: info:eu-repo/semantics/article
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