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T1. How Does ICT Contribute to Public Sector Innovation? T2. Digital Speedup Meets Long-term Requirements: Sciences, Knowledge, and Computing
DETAILS
T1. How Does ICT Contribute to Public Sector Innovation? Lasse summarizes a decade of research on egovernment: The ambitions, the results, changing focus of researchers, and case studies of real egovernment projects.
T2. Digital Speedup Meets Long-term Requirements: Sciences, Knowledge, and Computing This tutorial discusses various aspects of the speedup of digital developments with respect to the increasing requirements for long-term sustainable knowledge and resources in many disciplines. Scientific process demands long-term persistent knowledge in research, documentation, and consecutive use. Processing and computing are becoming increasingly important in many disciplines, not only in disciplines spanning large time intervals like in geosciences or archaeology. Many application scenarios, e.g., with information and computing systems, require special methodologies and systematic, even the more as multi-disciplinary information from natural sciences, humanities, and social context is getting involved. The tutorial introduces into long-term knowledge handling and universal classification. It presents High End Computing and storage resources used for processing and computing, and discusses issues of requirements and operation for advanced scientific computing environments. Regarding advanced computing and collaboration, the tutorial introduces into basics of decision making and resources planning. Case studies for geoscientific and archaeological information systems show knowledge and computing resources usage as well as operation and lifecycle aspects. Thus, the tutorial discusses existing application scenarios and how the interests and needs of users and disciplines, services, and resource providers can be respected in order to generate long-term benefits from creating knowledge resources and using collaboration frameworks. Some focus questions are: - What is long-term knowledge from the sciences / geosciences / society view? - How can we preserve, document, and handle various long-term information and knowledge? - What does processing and computing mean in geosciences, life sciences, social sciences and other disciplines? - Which "support for science itself" can we expect from "Big Data", "Exa-scale" and friends? It is intended to have a dialogue with the audience on how the peedup" of digital developments can be led to a "progress" for long-term sustainable knowledge. This tutorial is addressed to all interested users, disciplines, geosciences, social and life sciences, as well as users and providers of resources and services for high end computing, Cloud, mobile computing. There are no special informatics prerequisites necessary to take part in this tutorial. |
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