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Canadian and Global Challenges in Financial Systemic Risk Analysis: Defining Visual Analytics Solutions
Start Date: 2012-01-19 | End Date: 2013-01-19
The 2012 Banff Visual Analytics Interdisciplinary Workshop on Canadian and Global Challenges in Financial Systemic Risk Analysis: Defining Visual Analytics Solutions will focus on defining how Visual Analytics (VA) can be used to provide solutions to systemic risk management challenges.
Financial markets and systems are complex networks through which financial contagion can easily spread. Monitoring and assessing the risks in these financial systems is therefore critical to economic and social well-being. The financial crisis saw the breakdown of financial intermediation markets that led to many bank failures and a global credit crunch, drawing attention to the need for enhanced financial systemic risk analysis. Visual Analytics (VA) can address this need.
VA is the science of analytical reasoning facilitated by interactive visual interfaces that leverage the human visual system to enable significant advantages over other forms of analysis and exploration of large and complex data sets (e.g. faster detection of outliers and patterns). This workshop will focus on such questions as:
- What are the analytic tasks required for financial systemic risk analysis?
- What data are needed to support these tasks?
- How can interactive visualization support the provision of financial systemic risk “situational awareness”?
- How can visual analytics be combined with statistical analyses, semantics-based approaches, data mining, and compression and filtering to enhance systemic risk analysis?
- And, what visual designs and interactions will best support visual analysis for financial systemic risk analysis, in particular under crisis conditions?
The workshop will bring together participants from potential user communities, i.e., financial regulators and market participants, with scientists and academic researchers to explore financial systemic risk challenges. We are seeking participation of interested academic researchers with backgrounds in the following areas:
- financial economics;
- data mining;
- natural language and text analysis;
- machine learning;
- human?computer interaction and collaboration;
- decision making and problem solving;
- perceptual, cognitive and social psychology;
- sociology of finance;
- and ethnography.
If you are interested, please provide a short bio and a statement of interest containing a brief description of your current research or applied problem domain. To help shape the agenda, please also send along a statement about your top three challenges or research questions; how your interests can benefit the creation of new visual analytics research and applied projects for financial systemic risk analysis, and whether you would be interested in presenting a paper. Please RSVP to [email protected] by March 15, 2012.
Workshop Programme Planning Committee:
Victoria Lemieux, University of British Columbia (Chair)
Christopher Collins, University of Ontario Institute of Technology
Brian Fisher, Simon Fraser University
Ronald Rensink, University of British Columbia
Margaret Varga, Oxford University
William Wong, Middlesex University
Principal Investigator: Dr. Victoria Lemieux
Research Assistants(s): Helen Halbert; Thomas Dang; David Lau; Benjamin Shieh
Funded by:U.S. VACCINE and Vancouver Institute for Visual Analytics