» Sunday, All Day
Extreme Scale Visual Analytics
Scientific sensors and applications are continuing to produce data at ever increasing rates. The social sciences and humanities are transitioning to quantitative disciplines with access to vast amounts of on line data. And ever more sophisticated sensor networks are monitoring traffic, energy usage patterns, or ocean pollution levels around us. This explosion of data is overwhelming our capabilities to explore, analyze, hypothesize, and thus fully interpret the underlying details. These tasks will become even more challenging as we make advancements from petascale to exascale computing.
The primary goal of the workshop is to bring together researchers in Computer Science, Computational Science, Mathematics, Statistics, Visualization, and related areas working on large scale high dimensional data analysis with a potential impact in Data and Visual Analytics. The workshop should provide an opportunity to discuss and explore issues of scale and complexity in data and visual analytics and advanced technical developments related to the issues. Increasing amounts of data, regarding both number of data points and dimensionality, and related issues such as efficient and effective data representation and transformation, visual representation in limited screen space and real time visual interaction present new challenges that are fundamental to the continued success of the field. We plan to investigate these challenges and discuss promising directions.
- Analytics and visualization for extremely high dimensional data
- Real time and scalable computational methods for visual analytics of massive data.
- Programming Support
- Parallel and high performance computing in visual analytics
- Speedup vs. accuracy tradeoff in visual analytics
- Fundamental limits and theory
- Visual analytics on limited computational platforms
» Sunday, All Day
Visual Analytics in Health Care
Health care data, collected as longitudinal electronic health records (EHRs), medical images, fMRI and gene sequences becomes more or more available in practice. However, it is increasingly challenging for practitioners to quickly find and extract the relevant information at the point of care. Solutions to these challenges will require multi-disciplinary visual analytics solutions that combine efforts across several intersecting research communities: data mining, visualization and visual analytics, medicine, and medical informatics. The workshop will allow us to both review ongoing research in these fields and identify the grand challenges that must be solved at the intersection of these communities to make significant impact on the practice of health care.
» Sunday, Afternoon
Foundations of Topological Analysis
Topological techniques are becoming increasingly popular in large scale data analysis. They provide the high level of abstraction necessary to deal with extremely large data. Simultaneously, their close connection to well known mathematical theories can be exploited to guarantee correctness, completeness, and strict error bounds. The interplay between fundamental theory, robust algorithms, and their impact on applications gives rise to a new subfield concerned with topology-based data analysis. This workshop will explore this rapidly growing field with a particular focus on the open challenges and recent approaches to address them.
» Monday, Morning
The Role of Theory in Information Visualization
Information visualization is a very applied field that prides itself on its practical applications and real-world scenarios. Ignoring the theoretical side is dangerous, however, because it limits our ability to distill useful information about the foundations of the field from the practical work being done, and limits our understanding of how and why our own creations work. The goal of this workshop is to bring together researchers interested in the theoretical aspects of infovis, define the field, discuss ideas and approaches, and get the word out about the importance of theoretical research in information visualization.
» Tuesday, All Day
Telling Stories with Data
While visualization is an excellent tool for discovery and analysis, it is also a powerful medium for communication. The best information graphics do more than just present numbers: they tell a story, engage and convince their readers, invite them to make a personal connection to the data, and help them tell stories of their own. This workshop examines the construction of narratives with visualization, drawing participants with interests in visualization, social media, journalism, and the humanities. Topics may include the use of visualization vvin news stories, the application of narrative theory to data presentation, techniques for engaging audiences, and empowering people to tell their own stories with visualization.