Rescheduled from February 12 - A Primer on Data Visualization

Big Insights from Big Data and Small Data

Speaker: Ben Shneiderman

March 5th, 2019, 12:30pm

DFP Classroom: FSC 2300

Rescheduled from February 12

This event is from 12:30 - 2:00pm.
Lunch is provided with RSVP.
RSVP Here

The goal of visualization is insight, not numbers. Interactive data visualization tools provide researchers with remarkable capabilities to support discovery from Big Data and Small Data resources. Users can begin with an overview, zoom in on areas of interest, filter out unwanted items, and then click for details-on-demand. Data Science initiatives and commercial success stories, plus widespread use by prominent media, business, medical, and other websites have made visualization a key technology that empowers users to explore multi-dimensional, temporal, hierarchical, and network data.

Researchers, educators, and students in every field can use interactive data visualization tools to:

Improve data quality by effective detection of faulty data, missing data, unusual distributions, and anomalies,
Perform more thorough data analyses that produce profounder insights, and
Develop richer understandings that enable users to ask bolder questions.

The talk shows many examples and closes with 8 Golden Rules for data visualization.

View Presentation Slides

Event directions

Once you are inside the Forestry Science building walk to the rear (south-east) of the building by passing through the large open study area and up the stairs to the 2nd level student (“treetop”) lounge area. Turn left, pass through the double doors, and room 2300 will be immediately to your right.

Viz@UBC

About the speaker

Ben Shneiderman

Peter Wall Institute for Advanced Studies Visiting Scholar; University of Maryland

BEN SHNEIDERMAN (http://www.cs.umd.edu/~ben) is a Distinguished University Professor in the Department of Computer Science, Founding Director (1983-2000) of the Human-Computer Interaction Laboratory (http://www.cs.umd.edu/hcil/), and a Member of the UM Institute for Advanced Computer Studies (UMIACS) at the University of Maryland. He is a Fellow of the AAAS, ACM, IEEE, and NAI, and a Member of the National Academy of Engineering, in recognition of his pioneering contributions to human-computer interaction and information visualization. His contributions include the direct manipulation concept, clickable highlighted web-links, touchscreen keyboards, dynamic query sliders, development of treemaps, novel network visualizations for NodeXL, and temporal event sequence analysis for electronic health records.

Shneiderman is the co-author with Catherine Plaisant of Designing the User Interface: Strategies for Effective Human-Computer Interaction (6th ed., 2016) http://www.awl.com/DTUI/.  With Stu Card and Jock Mackinlay, he co-authored Readings in Information Visualization: Using Vision to Think (1999). He co-authored, Analyzing Social Media Networks with NodeXL (www.codeplex.com/nodexl) (Morgan Kaufmann) with Derek Hansen and Marc Smith. Shneiderman’s latest book is The New ABCs of Research: Achieving Breakthrough Collaborations (Oxford, April 2016).