We live in an increasingly interconnected world where infrastructures 
composed by different technological layers are interoperating with the
social component that drives their use and development. Examples are 
provided by the Internet, the social Web, the new WiFi communication 
technologies and transportation and mobility infrastructures. The 
multi-scale nature and complexity of these networks are crucial 
features in the understanding of techno-social systems and the 
dynamical processes occurring on top of them. I will review the recent 
advances and challenge in this area and how we can look forward to new 
forecasting infrastructures in the context of techno-social systems. 
As a foremost example I will review the recent development and the 
major roadblocks in the computational approach to the prediction and 
control of emerging diseases.  In particular I will discuss the  global 
epidemic and mobility (GLEaM) computational platform and its use in 
the early stages of the recent  H1N1 outbreak to provide real-time projections 
and scenarios on the unfolding of  the epidemic.