The Xpert Network is holding a series of events introducing a range of projects and organizations, with a focus on best practices they have developed in supporting their users. This is the fifth event in this series. Please join to share your experiences and learn from others.
|Webinar Title||Best Practices for Computational and Data-Intensive (CDI) Research|
|Date and Time||2021-10-21, 2:00-3:00 pm EDT|
|Presenter||Rudi Eigenmann (University of Delaware)|
|Panelists||Rebecca Koskela (Research Data Alliance)
Henry Neeman (University of Oklahoma & Virtual Residency)
Webinars are free and open to the public. No registration is required, simply join the meeting. Archives (recording, and slides) will be posted at https://sites.udel.edu/xpert-cdi/event/past-events/.
The Xpert Network is one of several projects in the US that aims to improve the cyberinfrastructure ecosystem by enhancing the skills, effectiveness, and professional organization of those who assist Computational and Data-intensive (CDI) domain researchers. Our activity grew out of a need to bring together projects that provide such support. One of the outcomes that we would like to create as a result of this network is a best-practices guide for RSEs in computational and data-intensive research. We have collected those practices developed by different organizations that are in the business of supporting CDI domain scientists, and we would like to present them to you in this webinar and get your live comments on these practices.
Rudolf (Rudi) Eigenmann came to the University of Delaware in 2017 from Purdue University, where he was a Professor in the School of Electrical and Computer Engineering. From 2013-2017, he has also served as Program Director in the National Science Foundation’s Office of Advanced Cyberinfrastructure. His core research interests include optimizing compilers, programming methodologies, tools, and performance evaluation for high-performance computing, as well as the design of cyberinfrastructure. Dr. Eigenmann received his Ph.D. in Electrical Engineering/Computer Science from ETH Zurich, Switzerland.