Cyberinfrastructure to Support Water Science Education and Reproducible Science
| Authors: | |
|---|---|
| Owners: | Anthony M. Castronova |
| Type: | Resource |
| Storage: | The size of this resource is 40.8 MB |
| Created: | Apr 27, 2018 at 3:25 p.m. |
| Last updated: | Apr 27, 2018 at 3:26 p.m. |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 2571 |
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Abstract
Fluency in software tools, libraries, and languages is becoming an essential skill of scientists that can directly influence the effectiveness and efficiency of their work. While graduate students often learn these skills while conducting research, these are difficult to teach undergraduate students. This seminar will discuss CUAHSI’s investment in cyberinfrastructure to support water science research, training, and education. Topics will range from designing educational modules and hosting workshops to hydrologic modeling and data analysis. Participants can expect a primer on JupyterHub and the cyberinfrastructure that has been designed to support these workflows, as well as detailed demonstrations of common educational and research use cases. Participants are expected to have a basic understanding of HydroShare.org and the Python programming language, and are encouraged to participate in the live demonstrations.
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| Title | Owners | Sharing Status | My Permission |
|---|---|---|---|
| CUAHSI's 2018 Spring Cyberseminar Series: CUAHSI Water Data Services for Supporting Scientific Research and Education | Anthony Castronova | Public & Shareable | Open Access |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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