398 research outputs found
Observations on the President’s Fiscal Year 2000 Federal Science and Technology Budget
http://deepblue.lib.umich.edu/bitstream/2027.42/89086/1/2000_FST_Budget_Analysis.pd
Observations on the President’s Fiscal Year 1999 Federal Science and Technology Budget
http://deepblue.lib.umich.edu/bitstream/2027.42/89085/1/1999_FST_Budget_Analysis.pd
Observations on the President’s Fiscal Year 2001 Federal Science and Technology Budget
http://deepblue.lib.umich.edu/bitstream/2027.42/89089/1/2001_FST_Budget_Analysis.pd
Exact Bayesian curve fitting and signal segmentation.
We consider regression models where the underlying functional relationship between the response and the explanatory variable is modeled as independent linear regressions on disjoint segments. We present an algorithm for perfect simulation from the posterior distribution of such a model, even allowing for an unknown number of segments and an unknown model order for the linear regressions within each segment. The algorithm is simple, can scale well to large data sets, and avoids the problem of diagnosing convergence that is present with Monte Carlo Markov Chain (MCMC) approaches to this problem. We demonstrate our algorithm on standard denoising problems, on a piecewise constant AR model, and on a speech segmentation problem
Analysis and Synthesis of Metadata Goals for Scientific Data
The proliferation of discipline-specific metadata schemes contributes to artificial barriers that can impede interdisciplinary and transdisciplinary research. The authors considered this problem by examining the domains, objectives, and architectures of nine metadata schemes used to document scientific data in the physical, life, and social sciences. They used a mixed-methods content analysis and Greenberg’s (2005) metadata objectives, principles, domains, and architectural layout (MODAL) framework, and derived 22 metadata-related goals from textual content describing each metadata scheme. Relationships are identified between the domains (e.g., scientific discipline and type of data) and the categories of scheme objectives. For each strong correlation (\u3e0.6), a Fisher’s exact test for nonparametric data was used to determine significance (p \u3c .05).
Significant relationships were found between the domains and objectives of the schemes. Schemes describing observational data are more likely to have “scheme harmonization” (compatibility and interoperability with related schemes) as an objective; schemes with the objective “abstraction” (a conceptual model exists separate from the technical implementation) also have the objective “sufficiency” (the scheme defines a minimal amount of information to meet the needs of the community); and schemes with the objective “data publication” do not have the objective “element refinement.” The analysis indicates that many metadata-driven goals expressed by communities are independent of scientific discipline or the type of data, although they are constrained by historical community practices and workflows as well as the technological environment at the time of scheme creation. The analysis reveals 11 fundamental metadata goals for metadata documenting scientific data in support of sharing research data across disciplines and domains. The authors report these results and highlight the need for more metadata-related research, particularly in the context of recent funding agency policy changes
IDR : a participatory methodology for interdisciplinary design in technology enhanced learning
One of the important themes that emerged from the CAL’07 conference was the failure of technology to bring about the expected disruptive effect to learning and teaching. We identify one of the causes as an inherent weakness in prevalent development methodologies. While the problem of designing technology for learning is irreducibly multi-dimensional, design processes often lack true interdisciplinarity. To address this problem we present IDR, a participatory methodology for interdisciplinary techno-pedagogical design, drawing on the design patterns tradition (Alexander, Silverstein & Ishikawa, 1977) and the design research paradigm (DiSessa & Cobb, 2004). We discuss the iterative development and use of our methodology by a pan-European project team of educational researchers, software developers and teachers. We reflect on our experiences of the participatory nature of pattern design and discuss how, as a distributed team, we developed a set of over 120 design patterns, created using our freely available open source web toolkit. Furthermore, we detail how our methodology is applicable to the wider community through a workshop model, which has been run and iteratively refined at five major international conferences, involving over 200 participants
Developing a conceptual framework for an evaluation system for the NIAID HIV/AIDS clinical trials networks
Globally, health research organizations are called upon to re-examine their policies and practices to more efficiently and effectively address current scientific and social needs, as well as increasing public demands for accountability
Gender‐Informed Mentoring Strategies for Women Engineering Scholars: On Establishing a Caring Community
Improved mentoring of women graduate students and young faculty is one strategy for increasing the presence, retention and advancement of women scholars in engineering. We explore the sociological literature on interpersonally‐ and institutionally‐generated gender roles and dynamics that make the construction and maintenance of mentoring relationships especially difficult for women in male‐dominated fields. In addition, we review non‐traditional strategies including peer‐, multiple‐ and collective mentorships that are likely to be more successful for most women (and many men). Finally, organizational change strategies designed to provide a more egalitarian and cooperative atmosphere in engineering programs and departments are presented. These ideas represent a social contract for a caring community more supportive of all members' personal and professional growth and success.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/95139/1/j.2168-9830.2002.tb00672.x.pd
Metadata matters: access to image data in the real world
Data sharing is important in the biological sciences to prevent duplication of effort, to promote scientific integrity, and to facilitate and disseminate scientific discovery. Sharing requires centralized repositories, and submission to and utility of these resources require common data formats. This is particularly challenging for multidimensional microscopy image data, which are acquired from a variety of platforms with a myriad of proprietary file formats (PFFs). In this paper, we describe an open standard format that we have developed for microscopy image data. We call on the community to use open image data standards and to insist that all imaging platforms support these file formats. This will build the foundation for an open image data repository
The Broad Challenge of Public Engagement in Science: Commentary on: “Constitutional Moments in Governing Science and Technology”
Timely public engagement in science presents a broad challenge. It includes more than research into the ethical, legal and social dimensions of science and state-initiated citizen’s participation. Introducing a public perspective on science while safeguarding its public value involves a diverse set of actors: natural scientists and engineers, technology assessment institutes, policy makers, social scientists, citizens, interest organisations, artists, and last, but not least, politicians
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