1 Department of Chemical and Biomolecular Engineering, University of California Berkeley, Berkeley, CA, USA 2 Energy Center and Laboratory of Molecular Simulation, Institut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland 3 Department of Earth and Environmental Engineering, Lenfest Center for Sustainable Energy, Columbia University, Ne...

1 This is one of a number of proposals being discussed in the framework of the UK 'Grand Challenges' initiative of the UK computing research committee (UKCRC).

This paper presents a grand challenge for Digital Archaeology of a different kind: it is not technical in and of itself, it does not seek out technological solutions for archaeological problems, it does not propose new digital tools or digital methodologies as such. Instead, it proposes a broader challenge, one which addresses the very stuff of archaeology: an understanding of how digital techn...

Entsprechend den von der GI formulierten „Grand Challenges der Informatik“ beschäftigt sich der Workshop mit einer aktuellen Herausforderung der Informatik der Software Qualität. „Software ist heute allgegenwärtig und kommt im täglichen Leben überall zum Einsatz: in der Kommunikation, der Unterhaltungselektronik, im Haushalt, in der Medizintechnik und in sicherheitskritischen Bereichen." [Grand...

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.

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 ...