| Start Date: | 1/21/2014 | Start Time: | 2:00 PM |
| End Date: | 1/21/2014 | End Time: | 3:30 PM |
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Event Description
Alberto Pepe, PhD, associate research scientist at Harvard University and co-founder of Authorea & Chris Beaumont, PhD, scientific software engineer at Harvard’s Center for Astrophysics and the Space Telescope Science Institute
Authorea: Write and Manage Data-Driven, Interactive Scientific Articles in a Collaborative Environment (Alberto Pepe, PhD)
Most tools that scientists use for the preparation of scholarly manuscripts, such as Microsoft Word and LaTeX, function offline and do not account for the born-digital nature of research objects. Also, most authoring tools in use today are not designed for collaboration and, as scientific collaborations grow in size, research transparency and the attribution of scholarly credit are at stake. In this talk, Pepe will present an innovative way to collaboratively author on the web data-driven articles--articles that would natively offer readers a dynamic, interactive experience with an article’s full text, images, data, and code. Pepe will show how the Authorea platform (authorea.com), a spin-off initiative of Harvard University and the Harvard-Smithsonian Center for Astrophysics, allows scientists to collaboratively write rich data-driven manuscripts on the web in an Open Science environment.
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Glue: Linked Statistical Graphics for Multidimensional Data Exploration (Chris Beaumont, PhD)
Modern research depends upon synthesizing the information from several related datasets. Unfortunately, most interactive data exploration tools focus on a single file at a time, making inter-file comparisons more cumbersome. Glue (glueviz.org) is a new project that aims to address this shortcoming. Glue allows users to load and visualize data from multiple files, and provides a way to specify the logical relationships among these files. These connections are used to automatically overlay visualizations of related files. With Glue, for example, a user can select a region of an image, and use this selection to filter a catalog of objects in the same region. This interaction enables researchers to quickly identify and drill down into interesting subsets of parameter space, to generate ideas for followup data analysis. Beaumont will demonstrate Glue's main features, and describe how he has used it for research in the context of star formation.
After his talk, Beaumont will lead a workshop on using Glue for anyone interested (bring your laptops!). |
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Location:
Papadakis Integrated Sciences Building 106, 3245 Chestnut St., Philadelphia, PA 19104 |
Audience:
Current StudentsFaculty |
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