Carnegie Mellon University

Richard Scheines

Richard Scheines

Dean, Dietrich College of Humanities & Social Sciences
Professor of Philosophy, Machine Learning, and HCII


My research is on causal discovery, in particular the problem of learning about causation from statistical evidence. The theoretical and computational dimensions of this work have come to be called the TETRADproject, which represents nearly 25 years of collaboration with Clark Glymour, Peter Spirtes and many, many others. Building efficient and practically useful algorithms for causal discovery is as much computer science as philosophy, and thus I have a courtesy appointment in the Machine Learning Department.

I have also put a lot of effort into building and researching the effectiveness of educational software, ranging from intelligent proof tutors to virtual causality labs to a full semester course on Causal and Statistical Reasoning. Because of this work I have a courtesy appointment in the Human-Computer Interaction Institute.


Ph.D. - 1987: History and Philosophy of Science, University of Pittsburgh

  • Thesis: Causal Models in the Social Sciences.
  • Advisor: Clark Glymour


Books (Selected)

  • National Research Council. Review of EPA's Integrated Risk Information System (IRIS) Process (2014). The National Academies Press, Washington, DC.
  • Improving the Presumptive Disability Decision-Making Process (2007). Committee on Evaluation of the Presumptive Disability Decision-Making Process for Veterans, Institute of Medicine of the National Academy of Science, J. Samet, and C. Bodurow, editors. The National Academies Press, Washington, D.C.
  • Food Marketing to Children and Youth: Threat or Opportunity, (2006).Committee on Food Marketing and the Diets of Children and Youth, Institute of Medicine of the National Academy of Science,  The National Academies Press, Washington, D.C.
  • Causation, Prediction, and Search (2000), 2nd edition, P. Spirtes, C. Glymour, and R. Scheines, MIT Press, Boston
  • Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling(1987), C. Glymour, R. Scheines, P. Spirtes, and K. Kelly. Academic Press, San Diego, CA.
  • TETRAD II: Tools for Causal Discovery (1994), R. Scheines, P. Spirtes, C. Glymour, and C. Meek, Lawrence Erlbaum Associates, Hillsdale, N.J.

Papers (Selected)


Causation and Statistics - Reviews/Handbook/Encyclopedia Articles

Causation & Statistics - Applications

Education / Educational Computing / Educational Data Mining