Join your fellow data visualizers on Tuesday, June 26th at Chief(1800 Massachusetts Ave NW) for The Battle of the Viz. University of Maryland Doctoral Students, Adil Yalcin and Fan Du, will be presenting their own data visualization and analytics tools; Adil Yalcin will be showcasing his data analytics tool Keshif( http://keshif.me/ ) and Fan Du will be showcasing EventAction( http://hcil.umd.edu/eventaction/ ).
Our speakers are Ph.D. students in the Department of Computer Science at University of Maryland, College Park, and members of its Human Computer Interaction Laboratory (HCIL), which has a 30+ years of history of research and impact in technology and design.
6:30 - 7:10 - Networking
7:10 - 7:40 – Adil Yalcin and Keshif
7:40 - 7:50 – Q & A for Keshif
7:50 - 8:20 – Fan Du and EventFlow
8:20 - 8:30 – Q & A for EventFlow
8:40 - Data Drinks
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About our Presenters:
Bio: My goal is to lower the barriers in rich data analysis for a broad audience through information visualization and interaction design, implementation, and evaluation. My PhD journey gives me a change to focus on the research and design foundations, and to search for new perspectives to advance how we think about data exploration. By providing highest quality tools and services, I inspire to help people and businesses identify opportunities for data analysis, explore their data, and gain insights at the speed of thought. (www.adilyalcin.me (http://www.adilyalcin.me/))
Abstract: Visualization is the natural language for data, and interaction can create the natural dialogue. How can we design better spaces to engage in exploratory data dialogue? How can we avoid fruitless paths, and how can we focus on generating insights, not visualizations? In this talk, I will share examples of what inspires my design thinking, and demonstrate the tool I build on those principles, Keshif (www.keshif.me (http://www.keshif.me/)).
Bio: My research focuses on data visualization and human-computer interaction, especially on analyzing healthcare data and user activity logs. I work with Prof. Ben Shneiderman and Dr. Catherine Plaisant as a research assistant. My Ph.D. study focuses on designing interactive data visualization tools to augment people’s ability in handling and exploring temporal event sequences. Moving forward, I want to work with real users from different domains to see how my tools could help them solve problems. (frankdu.org (http://frankdu.org/))
Abstract: The rapidly growing interest in event analytics has resulted in visual techniques for extracting insights from event sequence data that come from medical histories, social media activities, online education patterns, cybersecurity threats, etc. This talk reviews our group’s decade of research on visualizing and exploring temporal event sequences. I introduce EventFlow (hcil.umd.edu/eventflow (http://hcil.umd.edu/eventflow/)) for showing visual summaries of thousands of patient histories represented as time-stamped events and demonstrate how it supports hospital quality control analysts to investigate if the required procedures were carried out. I then describe simplification strategies for sharpening the analytic focus so as to cope with the increase in data volume and pattern variety. Finally, I discuss our recent work on cohort comparison and evidence-based intervention planning.
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