Interactive Visual Discovery in Event Analytics: Exploring Education & Other Data

Event Date & Time

Event Description

This event is sold out. Click “Register Now” to add your name on the waitlist.

Event Analytics is rapidly emerging as a new topic to extract insights from the growing set of temporal event sequences that come from education data, medical histories, e-commerce patterns, social media log analysis, sensor nets, sports, etc. This talk reviews our decade of research on visualizing and exploring temporal event sequences to view compact summaries of thousands of patient histories represented as time-stamped events. Our current work on EventFlow (www.cs.umd.edu/hcil/eventflow) supports point events, such as exam successes, course drops, or homework grades, and interval events such as course participations or 30-day suspensions. Demonstrations cover visual interfaces to support quality control analysts who ensure that required procedures were carried out, such as fulfilling prerequisites. I show how domain-specific knowledge and problem-specific insights can lead to sharpening the analytic focus so as to enable more successful pattern and anomaly detection.

BEN SHNEIDERMAN Bio

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 for Spotfire, development of treemaps, novel network visualizations for NodeXL, and temporal event sequence analysis for electronic health records.

Ben 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). His book Leonardo’s Laptop (MIT Press) won the IEEE book award for Distinguished Literary Contribution. He co-authored, Analyzing Social Media Networks with NodeXL (www.codeplex.com/nodexl) (2010) with Derek Hansen and Marc Smith. Shneiderman’s latest book is The New ABCs of Research: Achieving Breakthrough Collaborations (Oxford, 2016).