Welcome to PEARC20! PEARC20’s theme is “Catch the Wave.” This year’s theme embodies the spirit of the community’s drive to stay on pace and in front of all the new waves in technology, analytics, and a globally connected and diverse workforce. We look forward to this year’s PEARC20 virtual meeting, where we can share scientific discovery and craft the future infrastructure.
The conference will be held in Pacific Time (PT) and the times listed below are in Pacific Time.
The connection information for all PEARC20 workshops, tutorials, plenaries, track presentations, BOFs, Posters, Visualization Showcase, and other affiliated events, are in the PEARC20 virtual conference platform, Brella. If you have issues joining Brella, please email pearcinfo@googlegroups.com.
This workshop brings together perspectives from six institutions where research computing and libraries have successfully partnered to improve data and computing support. It combines a series of case study presentations from existing collaborations at a variety of institutions across the country with opportunities for participants to discuss and share next steps for collaboration at their own institutions. Participants will leave with concrete suggestions for how libraries and research computing groups can work together to support the full research lifecycle. This workshop will enable attendees to: 1) Share both best practices and lessons learned from collaborations between library and research computing groups from several institutions. 2) Allow participants to reflect upon and discuss the next steps for collaboration between research computing and library groups at their own institutions. 3) Build and sustain partnerships among providers of advanced research computing from varied institutional organizations including libraries, research computing, and business/social science computing centers. 4)Contribute to and support the further development of a network of researcher-facing professionals from both research computing and library organizations who are connected virtually through the CaRCC Data-Facing and Researcher-Facing Tracks
