Supporting scientific analysis within collaborative problem solving environments

Watson, Val

doi:10.1109/hicss.2001.927227

Cited by 9 publications

(5 citation statements)

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“…The Pacific Northwest National Laboratory (PNNL) has a long history of building CPSEs for U.S. Department of Energy (DOE) scientists [17], such as the DOE2000 Electronic Notebook Project [18] and Velo [19]. Watson [20] reviewed a number of organizations pursuing CPSEs including other DOE sites (e.g., the Common Component Architecture, Collaboratory Interoperability Framework, and Corridor One Project) as well as the U.S. Department of Defense (e.g., Gateway), NASA (e.g., the Intelligent Synthesis Environment, Collaborative Engineering Environment, and Science Desk) and numerous university efforts (Rutgers University's Distributed System for Collaborative Information Processing and Learning, the University of Michigan's Space Physics and Aeronomy Research Collaboratory, and Stanford's Interactive Workspaces). Shaffer [21], in his position statement on CPSEs, defined them as a "system that provides an integrated set of high level facilities to support groups engaged in solving problems from a proscribed domain."…”

Section: Related Workmentioning

confidence: 99%

Knowledge encapsulation framework for technosocial predictive modeling

et al. 2012

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Analysts who use predictive analytics methods need actionable evidence to support their models and simulations. Commonly, this evidence is distilled from large data sets with significant amount of culling and searching through a variety of sources including traditional and social media. The time/cost effectiveness and quality of the evidence marshaling process can be greatly enhanced by combining component technologies that support directed content harvesting, automated semantic annotation, and content analysis within a collaborative environment, with a functional interface to models and simulations. Existing evidence extraction tools provide some, but not all, the critical components that would empower such an integrated knowledge management environment. This paper describes a novel evidence marshaling solution that significantly advances the state of the art. Its embodiment, the Knowledge Encapsulation Framework (KEF), offers a suite of semi-automated and configurable content harvesting, vetting, annotation and analysis capabilities within a wiki-enabled and user-friendly visual interface that supports collaborative work across distributed teams of analysts. After a summarization of related work, our motivation, and the technical implementation of KEF, we will explore the model for using KEF and results of our research.

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Section: Related Workmentioning

confidence: 99%

Knowledge encapsulation framework for technosocial predictive modeling

et al. 2012

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“…The Pacific Northwest National Laboratory has a long history of building CPSE's for Department of Energy (DOE) scientists [5], such as the DOE2000 Electronic Notebook Project [6]. Watson [7]. Shaffer, in his position statement on CPSE's defined them as a "system that provides an integrated set of high level facilities to support groups engaged in solving problems from a proscribed domain" [8].…”

Section: The Knowledge Encapsulation Framework -A Dynamic Collaborati...mentioning

confidence: 99%

The future interaction of science and innovation policy for climate change and national security

Malone

Cowell

Riensche

2009

2009 Atlanta Conference on Science and Innovation Policy

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Recent efforts to characterize the interactions among climate change and national security issues raise challenges of relating disparate bodies of scientific (both physical and social) knowledge as well as determining the role of innovation in meeting these challenges. Technological innovation has been called for to combat climate change, increase food production, and discover new ways of generating energy, and proposals for increased investments in R&D and technology deployment are to be met with everywhere. However, such policy decisions in one domain have impacts in other domains-often unexpected, often negative, but often capable of being addressed in planning stages. This technological tool allows its users to embody the knowledge of different domains, to keep that knowledge up to date, and to define relationships, via both a model and an analytic game, such that policy makers can foresee problems and plan to forestall or mitigate them. Capturing and dynamically updating knowledge is the accomplishment of the Knowledge Encapsulation Framework. A systems dynamic model, created in STELLA ® , simulates the relationships among different domains, so that relevant knowledge is applied to a seemingly independent issue. An analytic game provides a method to use that knowledge as it might be used in real-world settings.

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“…Scientific visualization environments using the pipeline-based visual programming approach have been applied frequently to exploration of geospatial data (Treinish 1995, Wood et al 1997, Gahegan 1998, Masters et al 2000). Within scientific visualization, the focus of work on coordination has emphasized the development of multi-user environments for collaborative work (Brodlie et al 1998, Watson 2001). A related project, which extends the notion of object-orientation into “actor-oriented” programming, is Ptolemy (Liu et al 2003).…”

Section: Introductionmentioning

confidence: 99%

The geoviz toolkit: using component-oriented coordination methods for geographic visualization and analysis

Hardisty

Robinson

2011

International Journal of Geographical Information Science

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In this paper we present the GeoViz Toolkit, an open-source, internet-delivered program for geographic visualization and analysis that features a diverse set of software components which can be flexibly combined by users who do not have programming expertise. The design and architecture of the GeoViz Toolkit allows us to address three key research challenges in geovisualization: allowing end users to create their own geovisualization and analysis component set on-the-fly, integrating geovisualization methods with spatial analysis methods, and making geovisualization applications sharable between users. Each of these tasks necessitates a robust yet flexible approach to inter-tool coordination. The coordination strategy we developed for the GeoViz Toolkit, called Introspective Observer Coordination, leverages and combines key advances in software engineering from the last decade: automatic introspection of objects, software design patterns, and reflective invocation of methods.

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Supporting scientific analysis within collaborative problem solving environments

Cited by 9 publications

References 0 publications

Knowledge encapsulation framework for technosocial predictive modeling

Knowledge encapsulation framework for technosocial predictive modeling

The future interaction of science and innovation policy for climate change and national security

The geoviz toolkit: using component-oriented coordination methods for geographic visualization and analysis

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