Browsing by Subject "Complexity theory"

Now showing 1 - 3 of 3
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    Complexity in Global Energy-Environment Governance
    (Minnesota Journal of Law, Science and Technology, 2014-05) Long, Andrew
    Thinking about energy as a complex system from which fossil fuel dominance and climate change emerge provides an analytical and policy-relevant framework for exploring pathways toward transforming that system. The linkage of issues and scales of authority, highlighted briefly above, are but two examples of how this might be operationalized. Literature since the 2009 UNFCCC negotiations in Copenhagen is beginning to explore alternatives to top-down binding international environmental agreements for catalyzing successful mitigation, but it has yet to coalesce around an analytical framework that can foster synergy and the development of a cohesive body of work identifying and testing viable options that are likely to produce solid policy recommendations. A perspective on climate change informed by an understanding of the global energy system as a complex system has the potential to provide such a framework. Further exploring the potential for an interdisciplinary perspective on energy as a complex system may provide the analytical framework needed to accelerate the learning process by uniting the somewhat disparate strands of thought that have emerged since the “dream of Rio,” characterized by an unjustified faith in global top-down environmentalism, came to a crashing halt at the end of 2009. A complexity perspective on energy as the source of climate change may unite many of the developing approaches, which include work exploring near-term approaches to climate change mitigation, detailed analysis of particular aspects of the mitigation challenge if developed outside of a unifying top-down structure, and analytical expositions of polycentric governance theories in climate-relevant ways. Viewed as a body of literature addressing facets of a global complex systems challenge, such work can be understood to contain the seeds of an approach that is sufficiently salient to garner political support while also probing for effective tools that will engage the multiple interacting threads of social, ecological, and technical components that affect the energy system across scales in order to produce an overall shift that achieves climate stabilization. There is much work to be done if we hope to bring about the kind of transformation of the global energy system necessary to reduce GHG emissions significantly and rapidly enough to avoid drastic climate change impacts. A complexity perspective strikes an appropriate balance between resigning the global population to the massive suffering and destabilization that climate change may bring, as a narrow focus on developed country adaptation would do, and the unwarranted faith in top-down global governance that much of the previous decade’s climate change analysis exhibited. In this sense, a complexity perspective on climate change urges a form of governance reflecting the nature of adaptive systems situated on the edge of chaos—advocating enough order to avert disaster, while imbuing reform with the long-term catalytic vision necessary to bring about the emergence of that which is desirable, but remains uncertain and unpredictable.
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    Novel Algorithms For Nonconvex Second-Order Optimization With Complexity Guarantees
    (2023-07) He, Chuan
    Second-order optimization has recently experienced significant developments, leading to numerous fruitful applications in science and engineering. In particular, recent research has shown that a second-order stationary point of a nonconvex optimization problem is often a globally optimal solution for instances that arise in areas such as machine learning and statistics. Therefore, developing efficient algorithms for computing such points is pivotal for advancing those areas. This dissertation introduces new algorithms with substantial theoretical improvements for nonconvex optimization problems and conducts numerical studies to show the practical advantages of the proposed methods over the state-of-the-art methods.
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    A systems approach to identify skill needs for agrifood nanotechnology: a mixed methods study
    (2013-05) Yawson, Robert Mayfield
    The purpose of this study was to identify skill needs for the emerging agrifood nanotechnology sector and to determine how agricultural education can contribute to human resource and workforce development for this sector. As nanotechnology continues to advance in food and agriculture, there is the need for pragmatic decisions as to how to prepare the workforce. This mixed methods study incorporated disparate fields of systems and complexity theories; nanoscience and nanotechnology; science policy; agricultural education; human resource development and workforce education. The study followed a four-step process involving different methods and approaches. The first phase involved a comprehensive systematic evidence review (SER) and analysis of the literature. This phase of the study also helped to identify key experts and formulate questions for the in-depth and semi-structured interviews and also quantitative survey instruments. A comprehensive stakeholder analysis was done using primary data obtained from experts.The second phase of the study used multi-criteria approaches for value elicitation (which included qualitative and quantitative data) from key stakeholders and experts to identify current and future skill needs in the agrifood nanotechnology sector. The third phase of the study included quantitative analysis, Qualitative Systems Analysis (QSA) and Strategic Flexibility Analysis (SFA) of evidence from the literature review and the multi-criteria value elicitation of experts and stakeholders. The final phase of the study created a generic systems model from the quantitative analysis, QSA and SFA to describe holistically the current and future skill needs for agrifood nanotechnology workers as well as how educational practice and policy can meet these needs. The main conclusions from this study are that: (1) future shortages and skills gaps in agrifood nanotechnology are expected to increase but at the same time there is still quite a lot of uncertainty about future developments and impacts of nanotechnology in the agrifood sector to accurately determine future demand and supply of agrifood nanoskilled workforce. (2) Extra demands in high qualified workers with a background in sciences and engineering (PhD, MSc) will be needed. (3) STEM education at the K-12 levels is even more important than ever and that K-12 nanotechnology programs should be a seamless part of the overall STEM initiative. And most importantly STEM education should not be devoid of employability skills. (4) In addition to various types of technical skills that come with advances in any technology, and thus nanotechnology, employability skills and competencies such as problem solving and ability to work in an interdisciplinary context are considered very important.