Causal Analysis in Theory and Practice

For those who may be interested:

The Journal of Machine Learning Research (www.JMLR.org) is soliciting papers on all aspects of causality in machine learning, including theory, algorithms and applications. Papers making conceptual advances, making connections between various frameworks or disciplines, presenting novel methods appropriately supported by experiments and/or theory, or novel applications are particularly encouraged.

More details, including a list of suggested topics of interest and important dates are found at:
http://discover.mc.vanderbilt.edu/discover/public/jmlr_special_topic_causality.html

Guest editors are:
Constantin Aliferis, Vanderbilt University
Gregory Cooper, University of Pittsburgh
Andre Elisseeff, IBM Research
Isabelle Guyon, Clopinet
Peter Spirtes, Carnegie Mellon University