Line C. Pouchard

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The increase of the complexity and advancement in ecological and environmental sciences encourages scientists across the world to collect data from multiple places, times, and thematic scales to verify their hypotheses. Accumulated over time, such data not only increases in amount, but also in the diversity of the data sources spread around the world. This(More)
Integrated digital human modeling has seen increased interest over the last decade. We describe two efforts to develop computational frameworks for digital human modeling and describe the progress toward understanding the requirements for implementation. Both projects addressed data repository, computational environment, and visualization of results. But(More)
The need for high quality information to support the improvement of the production process is well recognised, as is the importance of sharing information in order to reduce production costs. The use of IT systems in manufacture has huge potential to support this need. However, for information sharing through software systems to be fully effective it is(More)
Many research questions remain open with regard to improving reliability in exascale systems. Among others, statistics-based analysis has been used to find anomalies, to isolate root causes, and attempt to predict failures. But well-understood methods and best practices for collecting reliability data in a uniform way are still lacking, which impedes(More)
Research data infrastructure such as storage must now accommodate new requirements resulting from trends in research data management that require researchers to store their data for the long term and make it available to other researchers. We propose Data Depot, a system and service that provides capabilities for shared space within a group, shared(More)
Following legislative directions, the Intelligence Community has been mandated to make greater use of Open Source Intelligence (OSINT). Efforts are underway to increase the use of OSINT but there are many obstacles. One of these obstacles is the lack of tools helping to manage the volume of available data and ascertain its credibility. We propose a unique(More)
Received: 20 January 2006 Revised: 28 August 2006 Accepted: 14 September 2006 Online publication date: 26 October 2006 Abstract The Defense Advanced Research Projects Agency Virtual Soldier Project recently investigated methods to predict outcomes from penetrating wounds based on comparison of complex mathematical models and clinical data including baseline(More)
Ecological and environmental sciences have become more advanced and complex, requiring observational and experimental data from multiple places, times, and thematic scales to verify their hypotheses. Over time, such data have not only increased in amount, but also in diversity and heterogeneity of the data sources that spread throughout the world. This(More)
Modeling and simulation have great potential as technologies capable of aiding analysts in making accurate predictions of future situations to help provide competitive advantage and avoid strategic surprise. However, to make modeling and simulation effective, an evidence-marshaling process is needed that addresses the information needs of the modeling task,(More)