Banner image courtesy of Aaron Towne et at.

Are you working on a project that involves coding, simulations, or data analysis, and need to present your data? What is the best way to reach your audience and convey your message? As the old adage says “a picture is worth a thousand words”, so making your data interactive, showing it in 3D, or making a video are a few options.

The Scientific Computing Student Club has organized a series of visualization workshops to explore different tools available to present and interact with your data. The series will culminate with a Visualization Challenge where you will have the chance to show what you’ve learned and earn cool prizes.

WORKSHOP SERIES

Intro to Jugular:
Virtual Reality and 3D Rendering

Thursday, October, 24, 2019 | 5:00 – 7:00 pm
Visualization Studio, Duderstadt Center (2281 Bonisteel)

 

Learn how to format, load and visualize your data in 3D. Jugular works in U-M M.I.D.E.N., the Occulus Rift and any desktop window. The U-M 3D Lab will teach this workshop and show us the available tools in-house.

Instructor: Theodore Hall, U-M 3D Lab, The Duderstadt Center

Workshop slides

QGIS: Visualizing Geospatial Data

Wednesday, November 20, 2019 | 3:00 – 5:00 pm
Room 2001A MLB (812 E Washington St)

 

QGIS is a user friendly Open Source Geographic Information System (GIS). You can visualize, manage, edit, analyse data, and compose printable maps. The workshop will use R.

Instructor: Dr. Manish Verma, Consultant, Consulting for Statistics, Computing and Analytic Research (CSCAR)

Space is limited. Learn more and register here.

Data Processing and Visualizations with R and Python

Tuesday, December 3, 2019 | 2:00 p.m. – 5:00 p.m.
Room 2001A Modern Language Building (812 E Washington St)

 

This workshop will provide some tools, tips, and packages that make data processing and visualization in R easier. Some coding experience is required – not necessarily R.

Instructor: Dr. Michael Clark, Consultant, Consulting for Statistics, Computing and Analytic Research (CSCAR)

Space is limited. Learn more and register here.

VisITOpen Source, interactive, scalable, visualization, animation and analysis tool

Wednesday, January 15, 2019 | 3:00 – 5:00 pm
Pierpont Commons B505 (2101 Bonisteel Blvd)
North Campus

 

Learn to interactively visualize and analyze data ranging in scale from small (<101 cores) desktop-sized projects to large (>105 core) leadership-class computing facility simulation campaigns. Dr. Allen Sanderson, an expert from the Scientific Computing and Imaging Institute (Utah), will teach this workshop.

Instructor: Dr. Allen Sanderson, Research Scientist, Scientific Computing and Imaging Institute,  University of Utah

Space is limited. Learn more and register here.

The Challenge…

After the workshops, we will provide 4 different data-sets to choose from. The challenge will be to visualize one of the data sets such that:

  • it is visually striking
  • conveys the science behind the data to a general audience

The data sets will include:

  • Extreme weather events occurrences combined with public perception of climate change and political affiliation
  • Brain data collected to better understand what electrical oscillations tell us about rapidly changing behavioral and pathological brain states
  • Particulate flow and other CFD phenomena
  • Social media data

Registration will open soon after the last workshop.

GUIDELINES

  1. All participants must be affiliated with U-M and be either students or post-doctoral fellows
  2. The teams must choose and visualize one of the provided data sets
  3. Criteria: overall visual impact; efficiency/effectiveness in conveying the science behind the data set; tools used (interactive, 3D, …)

We thankfully acknowledge support from…