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| − | [[Image:EDUGraphicBig.jpg|center]] | + | #REDIRECT [[Next Conference]] |
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| − | <center><big>'''Second International Conference on the'''</big><BR>
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| − | <h1 style="font-size:200%">'''Evolution and Development of the Universe'''</h1></center>
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| − | Proposed EDU 2012 Theme:<BR>
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| − | === The Physics of Performance Curves: The Nature and Limits of Functional Performance Improvement in Technology Innovation ===
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| − | Performance curves are
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| − | '''Topics of Investigation:'''<BR>
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| − | * What models do we have for the physical basis of technology and complexity performance curves (also referred to as 'learning curves,' and 'experience curves')?<BR>
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| − | * Can we develop unifying theories for any classes (physical, efficiency, computational, informational) of performance curves today?<BR>
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| − | * What explains the "smoothness" and long-term predictability we find in many technology performance curves (e.g., Moore's 'law') in our performance curve databases?<BR>
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| − | * Are such curves representative of undiscovered physical law or constraint, of economic or psychological expectations, or some other set of physical processes?<BR>
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| − | * Why are scale reduction processes persistently exponential in performance improvement, and which physical processes are candidates for continued scale reduction?<BR>
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| − | * Why are technology product outliers (significantly off the curve) so often market failures, and can this observation lead to better R&D timing, strategy, and policy?
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| − | * How do non-computational (physical process, efficiency) performance curves differ from computational (computing, memory, communication) performance curves?<BR>
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| − | * How do computer hardware and software performance curves differ, and why does hardware exhibit consistently better long-term exponential performance improvement?
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| − | * How do we differentiate non-persistently exponential performance curves (market-limited, etc.) from persistently exponential (scale reduction, FERD, etc.) curves?<BR>
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| − | * When does technology substitution (creating a composite technology performance curve) occur in any technology platform? Under what circumstances can we predict it?<BR>
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| − | * When does exponential performance end in any performance curve? Under what circumstances can we predict it?<BR>
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| − | * What explains "state switches" (transitions to steeper or flatter exponential modes) in several technology performance curves?<BR>
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| − | * What physical processes differentiate superexponential, exponential, logistic, life cycle, and other curves?<BR>
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| − | * What do exponential and superexponential performance and efficiency curves imply for the future of technological innovation and sustainability?<BR>
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| − | We wish to seek out and network transition scholars, periodization, and acceleration, multi-level evolution and development scholars, world system modelers, and their critics. Scholars who approach evolutionary transitions from thermodynamic, informational-computational, evolutionary, developmental, integrative, and systemic perspectives are particularly desired. We will seek to compare logistic, exponential, and superexponential models arising from a variety of complexity transition definitions, and finally, explore a range of scenarios these models propose for the future of innovation and sustainability, underscoring the great technical, political, economic, and social value of better scholarship and science in this area.<BR>
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| − | '''Location:''' (TBD).
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| − | We are presently developing a proposal to host EDU 2012 at a U.S. venue. If you have an interest in working on the EDU 2012 conference development committee, sponsoring the event, or providing other assistance, please contact [[Clément Vidal]] and/or [[John Smart]].
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