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Complexity or control? Paradigms for sustainable development

Projekt: Forschung

Projektbeteiligte

Beschreibung

Das Projekt untersucht die Genese der gegenwärtigen Vorstellungen von Nachhaltigkeit und nachhaltiger Entwicklung und nimmt dabei die miteinander verflochtenen Geschichten von Kybernetik, der Theorie komplexer Systeme und von Nachhaltigkeit in den Blick. Das Ziel des Projektes besteht in der Weiterentwicklung epistemologischer und methodologischer Grundlagen für eine transdisziplinäre Nachhaltigkeitsforschung.
AkronymCCP
StatusAbgeschlossen
Zeitraum01.01.15 → 31.03.20
Linkshttps://portal.volkswagenstiftung.de/search/projectDetails.do?ref=88644

    Ziele für nachhaltige Entwicklung

Verknüpfte Aktivitäten

Verknüpfte Publikationen

Links

Zuletzt angesehen

Aktivitäten

  1. Reflexive Multi-Criteria Evaluation as a Tool to Integrate Multiple Values of Scientists and Stakeholders
  2. Mapping participation in public environmental decision-making processes: An international database on published case studies
  3. The Linguistic Complexity of Test Items: Differential Effects for Students With Low and High Language Proficiency
  4. DigiSchreib - A tool to support teachers in the selection and use of digital writing tools
  5. Changing learning environments at university? Comparing the learning strategies of non-traditional European students engaged in lifelong learning.
  6. Chances and problems of feedback in every-day teaching of mathematical modelling
  7. Between primary and secondary information: Gilbert Simondon and the question of complexity and control
  8. Computersimulation als Erkenntnismethode
  9. Operational Research (Zeitschrift)
  10. The bumpy road from investigation to knowledge
  11. INTERMOLECULAR SPACES 2016

Publikationen

  1. Dispatching rule selection with Gaussian processes
  2. Enhancing implicit change detection through action
  3. Considerations on efficient touch interfaces - How display size influences the performance in an applied pointing task
  4. TARGET SETTING FOR OPERATIONAL PERFORMANCE IMPROVEMENTS - STUDY CASE -
  5. Using data mining techniques to investigate the correlation between surface cracks and flange lengths in deep drawn sheet metals
  6. Duration of Organizational Decision Processes in Organizations in View of Simulation Calculations
  7. Backstepping-based Input-Output Linearization of a Peltier Element for Ice Clamping using an Unscented Kalman Filter
  8. Hybrid modelling by machine learning corrections of analytical model predictions towards high-fidelity simulation solutions
  9. The Dialectics of Open Access
  10. Experimentally established correlation of friction surfacing process temperature and deposit geometry
  11. Participatory energy scenario development as dramatic scripting
  12. Is implicit Theory of Mind real but hard to detect?
  13. Efficacy of an internet and app-based gratitude intervention in reducing repetitive negative thinking and mechanisms of change in the intervention's effect on anxiety and depression
  14. Material flow analysis between dynamic modelling and life cycle assessment
  15. Markups and Concentration in the Context of Digitization
  16. Internal forces in robotic manipulation and in general mechanisms using a geometric approach
  17. Getting down to specifics on RCA [Resource Consumption Accounting]
  18. A toolkit for robust risk assessment using F-divergences
  19. From Enterprise Architecture to Business Ecosystem Architecture
  20. Legitimizing Digital Transformation: From System Integration to Platformization
  21. Creating Value from in-Vehicle Data
  22. Modeling High Aswan Dam Reservoir Morphology Using Remote Sensing to Reduce Evaporation
  23. Effects of plyometric training on postural control in static and dynamic testing situations
  24. As cast microstructures on the mechanical and corrosion behaviour of ZK40 modified with Gd and Nd additions
  25. I share because of who I am: values, identities, norms, and attitudes explain sharing intentions
  26. Towards more effective and transferable transition experiments
  27. Foreword to applied data science, demo, and nectar tracks