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World Economic Outlook, May 2001
The World Economic Outlook, published twice a year in English, French, Spanish, and Arabic, presents IMF staff economists analyses of global economic developments during the near and medium term. Chapters give an overview of the world economy; consider issues affecting industrial countries, developing countries, and economies in transition to market; and address topics of pressing current interest. Annexes, boxes, charts, and an extensive statistical appendix augment the text.
Knowledge and Systems Sciences
This book constitutes the refereed proceedings of the 17th International Symposium, KSS 2016, held in Kobe, Japan, in November 2016. The 21 revised full papers presented were carefully reviewed and selected from 48 submissions. The papers cover topics such as: Algorithms for Big Data; Big Data and education; Big Data and healthcare; Big Data and tourism; Big Data and social media oriented knowledge discovery and data mining, text mining, recommendation system, etc; Big Data, social media and societal management; creation of agent-based social systems sciences; collective intelligence; complex system modeling and complexity; decision analysis and decision support systems; internet+ and agriculture; internet+ and open innovation; knowledge creation, creativity support, awareness support, etc.; knowledge systems engineering and knowledge management; meta-synthesis and advanced modeling; opinion dynamics and opinion mining; OR on knowledge and systems sciences; problem structuring methods and system methodologies toward wicked problems; service systems science; smart city; social dynamic network modeling; Web intelligence.
Neuroscience-driven Visual Representation
Visual representation learning enables computers or systems to simulate the function of retinas, optic nerves, and visual cortex in the human brain, and derive meaningful information from digital images, videos, and other visual inputs. To learn the effective presentation of visual data is essential for many computer vision and artificial intelligence applications ranging from energy and utilities to manufacturing and automotive. Current popular deep learning-based visual representation learning methods do not fully consider the nature of the biological visual nervous system and are lack in interpretability. To solve visual representation well, the integration of psychological or neuroscientific approaches is required to enhance the cognition of visual data.
Intelligent Computing Theories and Methodologies
This two-volume set LNCS 9225 and LNCS 9226 constitutes - in conjunction with the volume LNAI 9227 - the refereed proceedings of the 11th International Conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August 2015. The total of 191 full and 42 short papers presented in the three ICIC 2015 volumes was carefully reviewed and selected from 671 submissions. The papers are organized in topical sections such as evolutionary computation and learning; compressed sensing, sparse coding and social computing; neural networks, nature inspired computing and optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differe...
Georgia
This paper discusses the Report on the Observance of Standards and Codes (ROSC) on Data Module for Georgia. Following the 2002 ROSC mission, Georgia has continued to make impressive improvements in statistical compilation and dissemination in all areas of statistics covered by the Data ROSC. Georgia’s macroeconomic statistics are generally of high quality and adequately meet users’ needs. Georgia has made tangible improvements on the legal, institutional, methodological, and dissemination aspects of data quality.
Handbook of Research on Building Inclusive Global Knowledge Societies for Sustainable Development
Knowledge and information have significant impacts on individuals’ daily lives and activities, especially when referring to the new economy and the global knowledge societies. However, the COVID-19 pandemic has caused massive disruptions in the creation of the vital inclusive global information society. Due to this change, further study on the current difficulties and best practices of creating global knowledge societies is required in order to ensure communities can continue to advance and information is shared appropriately. The Handbook of Research on Building Inclusive Global Knowledge Societies for Sustainable Development aims at providing an updated view of the newest trends, novel practices, and latest tendencies concerning building inclusive global knowledge societies for sustainable development while focusing on the benefits and the opportunities derived from the new economy and the global knowledge societies. Covering topics such as smart cities, food security, and climate change, this major reference work is ideal for policymakers, government officials, business owners, managers, academicians, scholars, researchers, practitioners, instructors, and students.
Reform of the Canada Pension Plan
Like other transfer programs, a pay-as-you-go public pension system can significantly affect economic behavior and, hence, relative prices and macroeconomic aggregates. This paper illustrates some of these effects, which are important in weighing options for reforming public pensions, in the context of a stylized model of the Canadian economy. It shows that introducing such a system can reduce aggregate saving, income, and wages and increase interest rates. It also shows that a significant part of the distortion can occur because benefits are not explicitly linked to contributions and that creating a linkage can reduce the distortions associated with the wage tax that funds plan contributions.
