VAST Challenge 2018 Workshop Agenda

October 21, 2018 9:00 a.m. - 6:00 p.m.
Estrel A

Session 1: Overview and Mini-Challenge 1 (9:00 – 10:40)

9:00 – 9:20 Overview of the VAST Challenge

9:20 – 9:30 Introduction to Mini-Challenge 1: Visual Analytics and Machine Learning for Audio

9:30 – 9:50 Audio Explorer
Mini-Challenge 1 Award: Excellent Comprehensive Submission
Authors: Colin Scruggs, Cameron Henkel, Charles D. Stolper

9:50 – 10:10 Applied Visual Data Science
Mini-Challenge 1 Award: Application of Visual Data Science
Authors: Andrei Rukavina, Sergio Banchero

10:10 – 10:25 Visual Bird Watcher: Interactive Visual Analysis on Bird Distribution and Migration
Mini-Challenge 1 Honorable Mention: Critical Thinking
Authors: Chuyue Ye, Sihang Li, Gang Li, Liang Tang, Dengfeng Zhang, Xinyue Luan, Zhuo Zhang, Xiaoru Yuan

10:25 – 10:40 Interactive Webtool for Tempospatial Data and Visual Audio Analysis
Mini-Challenge 1 Honorable Mention: Interactive Analytic Tool
Authors: Benedikt Bäumle, Ina Boesecke, Raphael Buchmüller, Yannick Metz, Juri Buchmüller, Eren Cakmak, Wolfgang Jentner, Daniel A. Keim

10:40 – 11:00 Morning Break and Poster Setup

Session 2: Mini-Challenge 2 and Posters (11:00 – 12:40)

11:00 – 11:10 Introduction to Mini-Challenge 2: Visual Analysis of Pollutants in Hydrology Data

11:20 – 11:30 Identifying Patterns and Anomalies within Spatiotemporal Water Sampling Data
Mini-Challenge 2 Award: Elegant Design of an Interactive Display
Authors: Isabel Piljek, Giuliana Dehn, Jannik Frauendorf, Ziad Salem, Yerzhan Niyazbayev, Juri Buchmüller, Eren Cakmak, Wolfgang Jentner, Florian Stoffel, Daniel A. Keim

11:30 – 11:50 MTDES: Multi-dimensional Temporal Data Exploration System
Mini-Challenge 2 Award: Strong Support for Exploratory Analysis
Authors: Vung V. Pham, Tommy Dang

11:50 – 12:05 Unearthing the X-Streams: Visualizing water contamination
Mini-Challenge 2 Honorable Mention: Clarity of Narrative
Authors: Akangsha Bandalkul, Angad Srivastava, Kishan Bharadwaj Shridhar, Ong Guan Jie Jason, Zhang Yanrong

12:05 – 12:20 Time Series Projection to Highlight Trends and Outliers
Mini-Challenge 2 Honorable Mention: Use of Projection to Highlight Outliers
Authors: Eren Cakmak, Daniel Seebacher, Juri Buchmüller, Daniel A. Keim

12:20 – 12:40 Guided Poster Viewing Activity

12:40 – 2:20 Lunch and Poster Viewing

Session 3: Mini-Challenge 3, Feedback and Poster Awards (2:20 – 4:00)

2:20 – 2:30 Introduction to Mini-Challenge 3: Large Graph Analysis

2:30 – 2:50 Visual Analysis for Subgroups in a Dynamic Network
Mini-Challenge 3 Award: Insights Generated through Use of a Custom Tool
Authors: Qi Ma, Xueshi Wei, Liwenhan Xie, Zhiyi Yin, Yiping Liu, Chuanming Huang, Xiaoru Yuan

2:50 – 3:10 TimeMatrix: Visual Representation for Temporal Pattern Detection in Dynamic Networks
Mini-Challenge 3 Honorable Mention: Representation of Small-Scale Temporal Patterns
Authors: Tommy Dang, Vung V. Pham

3:10 – 3:50 Participant Feedback

3:50 – 4:00 Posters: Attendee Feedback Awards

4:00 – 4:20 Break

Session 4: Capstone Panel: Practical Considerations for Combining Machine Learning and Interactive Visualization (4:20 – 6:00)

As this year’s VAST Challenge submissions illustrated, users must think critically about machine learning model results in order to reach meaningful conclusions. Data are often incomplete, and interpreting data signals requires understanding of context. Even the best models have weaknesses and uncertainties, which must be made clear to the user. As the landscape of available machine learning techniques is rapidly evolving, how do we enable non-data scientists to correctly use and interpret more sophisticated analytics?

This panel will focus on practical considerations for effectively combining machine learning and interactive visualization.

Neesha Kodagoda
Eli Brown
Adam Perer
Alex Endert
Danyel Fisher

Page last modified on Wednesday, October 03, 2018