AAAI Spring Symposium on
Technosocial Predictive Analytics
Sponsored by the Association for the Advancement of Artificial Intelligence
March 23-25, 2009
The Technosocial Predictive Analytics Symposium will explore new methods for anticipatory analytical thinking. These new methods should
- implement a multi-perspective approach to predictive modeling through the integration of human and physical factors, leveraging knowledge insights from both the social and natural sciences
- extend the reach of anticipatory thinking by enhancing a user's cognitive access and facilitating the continuous acquisition of knowledge inputs.
Our goal is to bring together experts from a variety of disciplines relevant to this emerging field of inquiry to stimulate the inception of a new community of interest. In doing so, we elicit contributions in predictive modeling and ancillary disciplines relative (but not limited) to the following topics.
- Probabilistic modeling
- Evidentiary reasoning
- Agent-based modeling
- Equation-based modeling
- Risk analysis
- Decision support
- Interactive visualization
- Information analytics
- Augmented/enhanced cognition
- Serious gaming
- Information extraction
- Content analysis
- Knowledge representation
- Expert knowledge elicitation and dissemination
- Collaborative work
- Social intelligence and related Web 2.0 technologies and processes
- Structured argumentation
The symposium will include invited talks and a special session with government agency representatives to discuss requirements and follow-on activities.
Paper submissions will be accepted in three areas:
- Technosocial Modeling
Papers will address the development, implementation, and evaluation of new multi-perspective methods and algorithms in predictive modeling.
- Knowledge Inputs
Papers will describe novel ways of
- leveraging computer aided content/signal extraction and analysis to marshal actionable evidence taking into account issues such as provenance and privacy
- using knowledge-representation methods to encapsulate and access expert knowledge and marshaled evidence
- leveraging "social intelligence" methods and processes as a means for gathering knowledge in support of analysis.
- Cognitive Enhancement
Papers will address the use of visual interactivity and enhanced cognition techniques to empower the user in the modeling task, promote inferential transparency in the analysis of modeling and simulation outputs, and support collaborative/competitive decision-making.
Submissions which address real-world problems in application areas such as energy, security, health, and the environment are strongly encouraged.