Introduction to Unity workshop FOR SOCIAL SCIENCE!
Georgia Stuart and Thomas Bernardin
Learn how you can leverage the Unity High Performance Computing Platform for social science research! Unity is a flexible computing platform that any UMass faculty, researchers, or faculty-advised graduate students can access and use, usually without cost. Unity provides an easy to navigate user interface to common graphical applications such as RStudio, MATLAB, and Stata, as well as powerful tools for executing long-running and large-scale analysis tasks, in a high performance computing environment. Unity is well suited for social science research projects involving data from small to large scale.
** This workshop is meant as a general onboarding workshop with a specific focus on tools for social science research, and requires NO PRIOR UNITY EXPERIENCE to attend. Motivated attendees can register in advance for a Unity account following instructions here, but it is not required for this event. Bring your questions and curiosity. All are welcome!
This event will be hybrid. If you would like to join on Zoom, please register here.
Lunch will be served in Lederle Graduate Research Center (LGRC) A112.
*Co-Sponsored with ISSR
Georgia Stuart is an HPC Research Scientist and Facilitator at UMass Amherst. She’s particularly interested in HPC workflows, how people interact with HPC systems, and uncertainty quantification. Georgia received her PhD in mathematics from UT Dallas where she worked on computationally efficient uncertainty quantification for seismic inversion. She was a Peter O’Donnell, Jr. Postdoctoral Fellow at UT Austin, where she worked on oil spill uncertainty quantification for the Computational Hydraulics Group. Georgia spends her free time playing with her young son, taking long walks with her family, and practicing calligraphy and lettering.
Thomas Bernardin is passionate about data science and research involving computation in a wide variety of domains. In addition to leading the research computing organization he is also the director of Data Core, as well as the executive director of the Center for Data Science. He has spent time in both academia and industry. Before joining UMass, Tom was a data scientist in the fintech space in New York. He holds a B.S. from New York University’s Stern School of Business, and a Ph.D. in economics from UMass. In his free time he can often be found running along the many miles of the beautiful roads and trails of western Mass.