Improving Stability In Developing Nations Through Automation 2006

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Improving Stability in Developing Nations through Automation 2006

Technological development has caused profound changes and social stability. Regions which have had stable populations for centuries have experienced enormous population growth leading to the emergence of sometimes unmanageable megaplex cities as well as bringing about macroscopic environmental change. The scope of this IFAC SWIIS Conference is to offer insights into mitigating unwanted side-effects of rapid development and to share methodologies for appropriate ways of managing the introduction of technologies which will alter social stability. Contributions included in Improving Stability in Developing Nations through Automation 2006 cover a very broad field of interest for subjects such as social aspects of technology transfer, managing the introduction of technological change, ethical aspects, technology and environmental stability, and anticipating secondary and tertiary effects of technological development. - 3 survey papers, 17 technical papers and a summary of the panel discussion - Bringing together scientists and engineers working in these subjects to discuss solutions
Optimal Transport Statistics for Economics and Related Topics

This volume emphasizes techniques of optimal transport statistics, but it also describes and uses other econometric techniques, ranging from more traditional statistical techniques to more innovative ones such as quantiles (in particular, multidimensional quantiles), maximum entropy approach, and machine learning. Applications range from general analysis of GDP growth, stock market, and consumer prices to analysis of specific sectors of economics (construction, credit and banking, energy, health, labor, textile, tourism, international trade) to specific issues affecting economy such as bankruptcy, effect of Covid-19 pandemic, effect of pollution, effect of gender, cryptocurrencies, and the existence of shadow economy. Papers presented in this volume also cover data processing techniques, with economic and financial application being the unifying theme. This volume shows what has been achieved, but even more important are remaining open problems. We hope that this volume will: ˆ inspire practitioners to learn how to apply state-of-the-art techniques, especially techniques of optimal transport statistics, to economic and financial problems, and ˆ inspire researchers to further improve the existing techniques and to come up with new techniques for studying economic and financial phenomena.