Cyberinfrastructure to Support Water Science Education and Reproducible Science
2018 Spring Cyberseminar Series
- Anthony Castronova / CUAHSI
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.
CUAHSI's 2018 Spring Cyberseminar Series: CUAHSI Water Data Services for Supporting Scientific Research and Education
Scientists are faced with many challenges throughout the research lifecycle ranging from data collection and management to collaboration and reproducible science. These challenges are exacerbated for large studies by increased scope and complexity that results from the interdisciplinary nature of water science. The next generation of water scientists must be comfortable using a variety of software, tools, and platforms on a daily basis to efficiently and effectively conduct their research. The Consortium of Universities for the Advancement of Hydrologic Sciences, Inc. (CUAHSI) aims to assist scientists in these efforts by investing in community-driven cyberinfrastructure research projects. This cyberseminar series presents efforts made by CUAHSI to alleviate the burden common of data-related tasks and is separated into three distinct seminars that collectively discuss the challenges associated with data management, collaboration, and reproducible science. Each seminar will focus on a specific scientific use cases and will demonstrate how free and open source software can be used to overcome data-related research challenges. Participants will learn about new technologies that can assist both academic and educational water science settings.