The third annual Big Data Summer School will be held August 1 - 5, 2022. At the University of Reno, Nevada. The aim of the summer school is to provide undergraduate and early graduate students with the foundational skills necessary to work with the types of large-scale datasets that are common in 21st century scientific research.

We are holding one track within this five-day immersive learning event: We will welcome students at or near the beginning of their computer science education. Students learned and practiced facility with the command line, working with common text editors such as Nano and Vim, the basics of remote computing, and elementary version control with Git. Students were also be exposed to the Python programming language, and worked towards the completion of a data visualization project by the end of the week.

The Summer School curriculum included short lectures and/or video tutorials followed by hands-on practice and labs, as well as guest lectures by leading researchers who have leveraged large-scale data for scientific advancement.

For more information, please visit our summer school website

The summer school is supported by an NSF EPSCoR Track-II Research Infrastructure Improvement Program grant and is led by the PIs:

Michelle Greene, PhD (Bates College)

Ben Balas, PhD (North Dakota State University)

Mark Lescroart, PhD (Univ. of Nevada, Reno)

Paul MacNeilage, PhD (Univ. of Nevada, Reno)

 

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The creation of the VEDB is supported by an NSF EPSCoR Research Infrastructure Improvement Program: Track-2 Focused EPSCoR Collaborations grant (award #1920896).