Richard Scheines

Abbreviated Curriculum Vitae

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

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

• Philosophy of Science (Causation)
• Artificial Intelligence (Machine Learning)
• Educational Computing (Online Courses and Virtual Labs)

FACULTY APPOINTMENTS

Professor and Head: Dept. of Philosophy

Professor (secondary appointment):

• Human-Computer Interaction Institute
• Machine Learning Department

Books (Selected)

• 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 & Statistics - Theory

• Scheines, R. (2008) , Causation, Truth, and the Law, Brooklyn Law Review, 73, 2
  
  
• Eberhardt, F., and Scheines R., (2007),Interventions and Causal Inference, in PSA-2006, Proceedings of the 20th biennial meeting of the Philosophy of Science Association 2006 http://philsci.org/news/PSA06  
  
  
• Silva, R., Glymour, C., Scheines, R. and Spirtes, P. (2006) , Learning the Structure of Latent Linear Structure Models, Journal of Machine Learning Research, 7, 191-246.
  
  
• Scheines, R. (2006). The Similarity of Causal Inference in Experimental and Non-Experimental Studies, Proceedings of the 2004 Biennial Meetings, Philosophy of Science, V. 72, N. 5,  pp. 927-940.
  
  
• N-1 Experiments Suffice to Determine the Causal Relations Among N Variables, (2006).Eberhardt, F., Glymour, C., & Scheines, R. in Innovations in Machine Learning, Holmes, Dawn E.; Jain, Lakhmi C. (Eds.), Theory and Applications
  Series: Studies in Fuzziness and Soft Computing, Vol. 194, Springer-Verlag.
  
  
• On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables, (2005). Eberhardt, F., Glymour, C., & Scheines, R. in Proceedings of the 21 st Conference on Uncertainty and Artificial Intelligence, Fahiem Bacchus and Tommi Jaakkola (editors), AUAI Press, Corvallis, Oregon, pp. 178-184.
  
  
• Causal Inference of Ambiguous Manipulations (2004). Spirtes, P, & Scheines, R.. Proceedings of the 2002 Philosophy of Science Association Meetings.
  
  
• Learning Measurement Models for Unobserved Variables, (2003). Silva, R., Scheines, R., Glymour, C., and Spirtes. P., in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence , U. Kjaerulff and C. Meek, eds., Morgan Kauffman.
  
  
• Uniform Consistency in Causal Inference (2003) Robins, J., Scheines, R., Spirtes, P., and Wasserman, L., Biometrika, September, 90: 491-515. gs.
  
  
• Semi-Instrumental Variables: A Test for Instrument Admissibility, (2001). In Proceedings of the 17th Conference on Uncertainty in Artificial Intelligence, Univ. of Washington, Seattle, 20
  
  
• Piece-wise Linear Instrumental Variable Estimation of Causal Influence, (2001), Scheines, R., Cooper, G., Changwon Yoo,Tianjiao Chu, in Proceedings of Eighth International Workshop on Artificial Intelligence and Statistics, Morgan Kauffman.
  
  
• Constructing Bayesian Network Models of Gene Expression Networks from Microarray Data, (2001) Spirtes, P., Glymour, C., and Scheines, R. Kauffman, S.,Aimale, V., & Wimberly, F. in Proceedings of the Atlantic Symposium on Computational Biology, Genome Information Systems and Technology, Duke University, March.
  
  
• Bayesian Estimation and Testing of Structural Equation Models (1999). Scheines, R., Hoijtink, H., & Boomsma, A., Psychometrika. 64, 1, pp. 37-52.
  
  

Causation and Statistics - Reviews/Handbook/Encyclopedia Articles

• Causation, Statistics, and the Law, Scheines, R. (2008), Journal of Law and Policy, 16,
  
  
• Causation, (2004). Scheines, R., in New Dictionary of the History of Ideas . Charles Scribner & Sons.
  
  
• Causal Inference (2004). Spirtes, P., Scheines, R.,Glymour, C., Richardson, T., and Meek, C., in Handbook of Quantitative Methodology in the Social Sciences , ed. David Kaplan, Sage Publications, 447-478.
  
  
• Computation and Causation, (2002) R. Scheines, in MetaPhilosophy, 33: 1, Blackwell.
  
  
• Using Path Diagrams as a Structural Equation Modeling Tool, (1998). Spirtes, P., Richardson, T., Meek, C., Scheines, R., and Glymour, C., Sociological Methods & Research, Vol. 27, N. 2, 182-225.
  
  
• The TETRAD Project : Constraint Based Aids to Model Specification. (1998). Scheines, R., Spirtes, P., Glymour, C., Richardson, T., & Meek, C., Multivariate Behavioral Research, Vol. 33, N. 1, 65-118, & "Reply to Commentary," same issue, 165-180.
  
  
• An Introduction to Causal Inference, (1997), R. Scheines, in Causality in Crisis?, V. McKim and S. Turner (eds.), Univ. of Notre Dame Press, pp. 185-200.
  
  

Causation & Statistics - Applications

• Estimating Latent Causal Influences: TETRAD III Variable Selection and Bayesian Parameter Estimation: the effect of Lead on IQ, (2000). Scheines, R. Handbook of Data Mining, Pat Hayes, editor, Oxford University Press.
  
  
• A Statistical Problem for Inference to Regulatory Structure from Associations of Gene Expression Measurement with Microarrays (2002) Chu, Tianjaio, Glymour C., Scheines, R., & Spirtes, P. (to appear in Bioinformatics).
  
  
• Expert Statistical Testimony and Epidemiological Evidence: The Toxic Effects of Lead Exposure on Children (2002). Fienberg, S., Glymour, C., and Scheines, R.(2003). Journal of Econometrics, 113, 1, March, 33-48.
  
  
• Single Mothers' Self-Efficacy, Parenting in the Home Environment, and Children's Development in a Two-Wave Study, (2005). Jackson, A., and Scheines, R. in Social Work Research , 29, 1, pp. 7-20.

Education / Educational Computing

• Teaching the Normative Theory of Causal Reasoning (2007). Scheines, R., Easterday, M., and Danks, D. in Alison Gopnik and Laura Schultz, editors, Oxford University Press.
  
  
• Easterday, M.W., Aleven, V., & Scheines, R.  (2007).  'Tis better to construct than receive: The effects of diagramming tools on learning to analyze social policy.  Proceedings of 13th International Conference on Artificial Intelligence in Education (AIED- 2007)
  
  
• Time and Attention: Students and Tasks (2005). Arnold , A., Scheines, R., Beck, J., and Jerome, B. AAAI-05: Educational Data Mining, Technical Report WS-05-02 AAAI Press.
  
  
• Replacing Lecture with Web-Based Course Materials (2005). Scheines, R., Leinhardt, G., Smith, J., and Cho, K. Journal of Eduational Computing Research, 32, 1, 1-26.
  
  
• Computer Environments for Proof Construction," (1994), R. Scheines and W. Sieg, in Interactive Learning Environments, Elliot Soloway (editor), Vol. 4, Issue (2), 159-169.
  
  
  

Software (Selected)

• Online Course on Causal and Statistical Reasoning
• TETRAD IV
• Genetic Regulatory Network Simulation
• Causality Lab