Overview
As a
basic tool for explanation, prediction and decision making, causal inference
has been utilized in almost all disciplines. Traditionally, causal
relationships are identified based on controlled experiments. However,
conducting such experiments is impossible in many cases due to cost or
ethical concerns. Therefore there has been an increasing interest in
discovering causal relationships from observational data only. Recently with
the rapid accumulation of huge volume of data, the field of causal discovery
is seeing exciting opportunities, as well as greater challenges.
This
workshop is aimed at bringing together researchers and practitioners with
the interest in causal discovery, from data mining and other disciplines, to
communicate their new ideas, algorithms, and novel applications of causal
discovery methods. The workshop
especially welcomes contributions that link data mining research with causal
discovery, and solutions to causal discovery from large scale data sets.
News
· Call for Papers (pdf): ACM Transaction on Intelligent Systems and Technology (ACM TIST), Special Issue on Causal Discovery and Inference
· November 7, 2013: Workshop program is now available.
We are also very pleased to announce that Professor Clark Glymour will be giving an invited talk at CD 2013. Professor Glymour is the the Alumni University Professor at Carnegie Mellon University. With his collaborators, Professor Glymour developed the causal interpretation of Bayesian networks and he is a co-author of the well-known book on causal discovery: Causation, Prediction and Search (2nd Edition MIT Press, 2001).
· September 29/30, 2013: Paper notifications sent out.
· August 6, 2013: Paper submission deadline extended to August 17, 2013.
· June 11, 2013: Paper submission site is opened. Please note that the page limit for
this workshop is 10 pages. To access the submission site and for instructions,
please click "Submission" in the above (left) navigation frame.
· May 11, 2013: CD 2013 website is up
· Another workshop on causality: "Causality: Perspectives from different
disciplines" is to be held in Vals, Switzerland, August 5-8, 2013. Workshop
website: http://people.tuebingen.mpg.de/p/causality-perspect/index.html