Technosocial Predictive Analytics
Papers from the AAAI Spring Symposium
Antonio Sanfilippo, Chair
Events occur daily that challenge the security, health, and sustainable growth of our planet, and often find the international community unprepared for the catastrophic outcomes. These events involve the interaction of complex processes such as climate change, energy reliability, terrorism, nuclear proliferation, natural and man-made disasters, social or political and economic resiliency. If we are to help the international community to meet the challenges that emerge from these events, we must develop novel methods for predictive analysis that can support a concerted decision-making effort by relevant actors to anticipate and counter strategic surprise.
There is now increased awareness among subject-matter experts, analysts, and decision makers alike that a combined understanding of interacting physical and human factors is essential in addressing strategic surprise proactively. The Technosocial Predictive Analytics Symposium will further this insight by exploring new methods for anticipatory analytical thinking that implement a multiperspective approach to predictive modeling through the integration of human and physical models, leveraging knowledge from both the social and natural sciences, and utilize disciplines capable of supporting the modeling tasks by enhancing cognitive access, and facilitating the achievement of knowledge inputs.