Engineering complex service-oriented systems presents grand challenges due to their great complexity, volatility, and uncertainty in their rapidly evolving technology and social contexts. It demands an effective engineering approach in order to satisfy the needs of service economics. This paper proposes an approach called Organic Aggregation Service Engineering Framework (OASEF). Experience fro...

This paper outlines the central role a range of human language technologies play in the emerging discipline of knowledge management. We articulate several grand challenges, illustrate some early successes, and recommend areas of continued research.

Policy changes intended to delay retirements of older workers and extend their work lives may run up against demand-side barriers from age discrimination, and supply-side barriers owing to rising physical challenges of work as people age. We study three questions. How do age discrimination protections affect labor market transitions of workers encouraged to work longer by increases in Social Se...

Today, the role of government is considered so much precise regulations, foresight and initiative of the public sector in the economy can trigger market growth. But usually because the private sector activity is affected by interactions of the market and government, markets' development process is slow and governmental clubs have become a consumer of financial resources by their inefficient fun...

Multidisciplinary research is becoming an increasingly popular approach by many international, national and institutional organisations to address global grand challenges and provide innovative solutions. However, within an academic setting, Early Career Researchers are underutilized in this field. This underutilisation can come from many factors, arising from current performance metrics, fixed...

In principle, a network can transfer data at nearly the speed of light. Today’s Internet, however, is much slower: our measurements show that latencies are typically more than one, and often more than two orders of magnitude larger than the lower bound implied by the speed of light. Closing this gap would not only add value to today’s Internet applications, but might also open the door to excit...

Abstract: The Cognitive Systems Institute Group (CSIG) is a relatively new initiative of IBM Global University Programs to better link IBMers and the cognitive systems community around grand challenge problems in cognitive science and artificial intelligence. For example, the mission of the CSIG is to augment and scale human expertise with cognitive assistants for all occupations in smart servi...

In this work we propose a feature-based segmentation approach that is domain independent. While most existing approaches are based on application-specific hand-crafted features, we propose a framework for learning features from data itself at multiple scales and depth. Our features can be easily integrated into classifiers or energy-based segmentation algorithms. We test the performance of our ...