Visual Analysis of Massive Data for Decision Support and Operational Management ** http://bit.ly/hicss45 ** Hawaii International Conference for Systems Sciences 45 Grand Wailea, Maui, Hawaii / January 4-7 2012 -------------------------------------------------------------------------------------------------------------- Submissions due June 15, 2011 Submission information: http://www.hicss.hawaii.edu/hicss_45/apahome45.htm -------------------------------------------------------------------------------------------------------------- This minitrack builds upon earlier HICSS minitracks on visual analytics, mobile computing, and digital media at scale. It seeks to define commonalities between analytical methods that utilize interactive visualization to cope with challenges posed by data, platform, and application. These include: -Processing massive data from data archives and real-time data streams. -Need for predictive and real-time analytics and operations management, -Mobile device limitations: battery, processing capacity, screens and interactivity. -Need to coordinate across multiple roles and tasks within and across organizations. -Interoperability of mobile, desktop, tabletop, wall, and virtual environments Innovations in computers, graphical displays and sensors give us the capability to generate, process, and visualize data from real-time data streams and massive data archives. Advanced data analysis approaches generate new algorithms, applications, and communication protocols optimized for platforms that include supercomputers and low-wattage mobile computers. Innovations in computer graphics and human-information interaction provide the basis for novel interactive visualization systems that can support the innate human ability to characterize, analyze, and manipulate information in complex interactive visual and multimodal environments across a multitude of devices, from mobile phones to supercomputers. Taken in isolation, both algorithmic "data sciences" approaches and human-centered "visual analytics" human-computer interface methods hold great promise for operationalizing massive datasets and streaming data in support of a broad range of human activities. Applications in basic scientific research, business analytics, health sciences, environmental science and engineering R&D explore the implications of these methods for advancement of knowledge and strategic planning. Applications in coordination, command and control of complex human activities such as disaster relief, law enforcement, and anti-terrorism add the constraints of real-time performance and distribution of planning to the challenges faced. We invite mathematical, computational, cognitive, and organizational perspectives on the use of advanced data processing and interactive visualization approaches to understanding and controlling complex systems across a range of human endeavors. We also invite participation from researchers who are looking at scaling issues and multi-scale issues, whether these scales refer to the time of decision making, the form-factor and operational constraints of mobile devices, the number of decision makers or the more traditional notion of multi-scale simulation and real-world scales of data. We are particularly interested in papers that report on an effective synthesis of algorithms and visualization with an impact on decision-making and/or coordination of operations, as evidenced by either realist simulations or adoption in a concrete mission. This minitrack seeks to bring together researchers and problem owners working in these areas to present research methods and findings and to discuss their approaches and ideas to advance the state-of-the-art for this class of complex "wicked" problems. SUBMIT INQUIRIES TO: David Ebert Purdue University Email: ebert@purdue.edu Brian Fisher Simon Fraser University Email: bfisher@sfu.ca John Goodall, Oak Ridge National Laboratory Email: jgoodall@ornl.gov Paul Kantor Rutgers University Email: paul.kantor@rutgers.edu