ERROR06 Participants
SPECIAL INVITED SPEAKERS
Dr. Peter Achinstein
Dept of Philosophy, Johns Hopkins University
Mill's Sins: Correcting Some Errors About Mill
Peter Achinstein is founder and director of the Johns Hopkins Center for History and Philosophy of Science. He is the author of the books Concepts of Science (1968), Law and Explanation (1971), The Nature of Explanation (1983), Particles and Waves (1991) which received the Lakatos Award in Philosophy of Science, and The Book of Evidence (2001). He directed two NEH Summer Seminars and has held Guggenheim, NEH, and NSF fellowships.
Dr. Alan Chalmers
Flinders University of South Australia
Theory Testing and the New Experimentalism
Dr. Chalmers is the author of What Is This Thing Called Science? (first published in 1976 and now in its third edition) and Science and Its Fabrication (1990).
Sir David Cox
Dept of Statistics, University of Oxford
Principles of Frequentist Statistics
Sir Cox has made major contributions to statistical theory, method, and applications. Among his many recognitions, he has received the Guy Medal in Silver and Gold from the Royal Statistical Society, the Weldon Memorial Prize, the Kettering Prize and Gold Medal for Cancer Research, and was knighted in 1975. His books include The Foundations of Statistical Inference, with G. A. Barnard (1961), Statistical Analysis of Series of Events, with P.A.W. Lewis (1966), Theoretical Statistics, with D. V. Hinkley (1974), Applied Statistics with E J Snell (1981); Inference and asymptotics with O. E. Barndorff- Nielsen (1994); and Theory of the Design of Experiments, with N. Reid (2000). He edited the journal Biometrika from 1966 to 1991.
Dr. Clark Glymour
Dept of Philosophy, Carnegie Mellon University
Error: Its Measurement and Use in Reliable Modeling: Indian Chief Experiment
Clark Glymour is Alumni University
Professor at Carnegie Mellon University, Senior Research Scientist at the
Florida Institute for Human and Machine Cognition, and adjunct Professor of
History and Philosophy of Science at the University of Pittsburgh. His books
include Theory and Evidence (1980), Foundations of Space-Time
Theories, with J. Earman (1986), Examining Holistic Medicine,
with D. Stalker (1986). Discovering Causal Structure, with R. Scheines,
P. Spirtes, and K. Kelly (1987), Causation, Prediction, and Search,
with P. Spirtes and R. Scheines (1993, 2001), Android Epistemology
(2002) and Thinking About Android Epistemology (2006), both with
P. Hayes and K. Ford, and Bayes Nets and Graphical Causal Models in Psychology
(2001). He has been a Guggenheim Fellow, a Fellow of the Center for Advanced
Studies in the Behavioral Sciences, and a Romanell Phi Beta Kappa lecturer.
Dr. Henry Kyburg
Depts of Philosophy, Computer Science, University of Rochester
Corrigible Acceptance and Incorrigible Conditioning
Dr. Kyburg is also a Senior Research Scientist and Pace Eminent Scholar at the Institute for Human and Machine Cognition (West Florida). His books include Probability and the Logic of Rational Belief (1961), Probability and Inductive Logic (1970), The Logical Foundations of Statistical Inference (1974), Theory and Measurement (1984), Science and Reason (1990), and Uncertain Inference, with Choh Man Teng (2001). He was Director of an NEH Summer Seminar and has held fellowships from NSF and other agencies.
Dr. Larry
Laudan
Senior Investigator,
Institute for Philosophical Research, National Autonomous University of Mexico
llaudan@larrylaudan.com
The Defendant's Burden: the Onus Probandi and the Anomaly of Affirmative Defenses
Dr. Laudan is founder of the journal Studies in History and Philosophy of Science, and served as its editor from 1969 to 1974. He is author of Progress and Its Problems (1977), Science and Hypothesis (1981), Science and Values (1984), Science and Relativism (1991), Beyond Positivism and Relativism (1996), and Truth, Error and Criminal Law (2006). He was founding chair of History and Philosophy of Science at the University of Pittsburgh and Director of the Philosophy of Science Center there. He was divisional President of the American Philosophical Association from 1994-95. He was a Fulbright Fellow at Konstanz (1980) and Vienna (1972) and Member of the School of Social Sciences at the Institute for Advanced Study (1995).
Dr. Deborah Mayo
Depts of Philosophy & Economics; Virginia Tech
Severe Tests, Error Statistics, and the Growth of Theoretical Knowledge
Dr. Mayo is the author of Error and the Growth of Experimental Knowledge which received the 1998 Lakatos Prize award, was a Director of a NEH Summer Seminar on induction and experimental inference, and has held fellowships from NEH and NSF.
Dr. Alan Musgrave
Dept of Philosophy, University of Otago, New Zealand
alan.musgrave@stonebow.otago.ac.nz
Critical Rationalism and Severe Testing—place holder title
He co-edited with Imre Lakatos the celebrated collection Criticism and the Growth of Knowledge, and has authored the books Common Sense, Science, and Scepticism (1993) and Essays on Realism and Rationalism (1999).
Dr. Aris Spanos
Dept of Economics, Virginia Tech
Statistical Induction, Severe Testing and Model Validation
Wilson Schmidt Professor and Chair of the Department of Economics, is the author of Statistical Foundations of Econometric Modelling (1986) and Probability Theory and Statistical Inference: Econometric Modeling with Observational Data (1999).
Professor John Worrall
Dept. of Philosophy, Logic and Scientific Method, London School of Economics
j.worrall@lse.ac.uk
Error, Tests and Theory-Confirmation in Science
Dr. Worrall is Professor of Philosophy of Science at the LSE. He is the author
of numerous articles mostly on issues concerning theory-change in science;
and also, more recently, on issues in the methodology of medicine. He served
as editor of The British Journal for Philosophy of Science from 1974
to 1983 and is the Head of the Committee for the prestigious Lakatos Award.
He is currently completing a book called Reason in 'Revolution': A Study
of Theory-Change in Science (Oxford University Press, 2007).
WORKSHOP PAPERS
Dr. Thomas Bartz-Beielstein
Dept. of Computer Science, University of Dortmund, Germany
thomas.bartz-beielstein@udo.edu
NPT* in Evolutionary Computing
Workshop 5: Error, Epidemiology and Evolutionary Computation
Dr. Rodolfo de Cristofaro
Dept. of Statistics, University of Florence, Italy
Foundations of the 'Objective Bayesian Analysis'
Workshop 3: Error, Probability and Logic
Dr. Brian Dennis
Fish and Wildlife Resources; University of Idaho
Keeping the faith: how prior beliefs can become data resistant
Workshop 2: Error and Ecology
Frederick Eberhardt
Dept of Philosophy, Carnegie Mellon Univerity
Conflicts in Sequences of Experiments
Workshop 4: Error, Causal Discovery and Model Selection
Dr. Malcolm Forster
Dept of Philosophy, University of Wisconsin-Madison
Counterexamples to a Likelihood Theory of Evidence
Workshop 4: Error, Causal Discovery and Model Selection
Dr. Pamela Jo Johnson
University of Minnesota, State Health Access Data Assistance Center & Minnesota Population Center
Specification and Confounding Errors When Using Non-Experimental, Observational Data to Make Causal Inferences
Workshop 5: Error, Epidemiology and Evolutionary Computation
Dr. Thomas Kepler
Division Chief,
Computational Biology
Department of Biostatistics and Bioinformatics, Duke University
Whither Statistics on Biology's Wings?
Workshop 5: Error, Epidemiology and Evolutionary Computation
Dr. Subash Lele
Dept of Mathematical and Statistical Sciences, University of Alberta
On quantifying evidence in the presence of nuisance parameters: Evidence functions and their applications in ecology
Workshop 2: Error and Ecology
Dr. Wendy Parker
Dept of Science Studies, University of California San Diego
Computer Simulation through an Error-Statistical Lens
Workshop 1: Error and Evidence: Methodology and Theory Appraisal
Dr. John Roberts
Dept of Philosophy; University of North Carolina, Chapel Hill
Coping With Severe Test Anxiety: Problems and Prospects for an Error-Statistical Approach to the Testing of High-Level Theories
Workshop 1: Error and Evidence: Methodology and Theory Appraisal
Dr. Kent Staley
Dept of Philosophy; Saint Louis University
Error-statistical Theory Assessment and Alternative Hypothesis Problems: A Role for Judgments of Plausibility?
Workshop 1: Error and Evidence: Methodology and Theory Appraisal
Dr. Mark Taper
Department of Ecology; Montana State University
Model Structural Adequacy
Workshop 2: Error and Ecology
Dr. Andrew Ward
University of Minnesota, State Health Access Data Assistance Center & Minnesota Population Center
ward0230@umn.edu; johns245@umn.edu
Specification and Confounding Errors When Using Non-Experimental, Observational Data to Make Causal Inferences
Workshop 5: Error, Epidemiology and Evolutionary Computation
Dr. Greg Wheeler
Department of Computer Science, Universidade Nova de Lisboa
Workshop 3: Error, Probability and Logic
Dr. Jon Williamson
Dept of Philosophy, University of Kent
Inductive Influence
Workshop 3: Error, Probability and Logic
Dr. Jiji Zhang
Dept of Philosophy, Carnegie Mellon University
Seeking Truth and Avoiding Error: What Can We Hope Causal Inference Procedures to Achieve?
Workshop 4: Error, Causal Discovery and Model Selection
POSTERS
Brooke Abounader
IHPST , University of Toronto
The Importance of Error in Learning from Scientific Models
Emrah Aktunc
Depts of STS and Philosophy, Virginia Tech
The Tacking Paradox: A Critique of Bayesian Treatments and an Error-Statistical Proposal for Its Solution
Dr. John Byrd
Central Identification Laboratory, Joint POW/MIA Accounting Command
The Role of E.R.R.O.R. in the Forensic Identification of Human Remains
Andre Crawford
Dept. of Economics, Virginia Tech
Evaluating Economics: What have we learnt from Empirical Modeling
Dr. Jeffery Downard
Dept of Philosophy, Northern Arizona University
Inductive Forms of Inference in Law
Dr. Damien Fennell
Centre for Philosophy of Natural and Social Science,
London School of Economics
The Error Term and its Interpretation in Structural Models in Econometrics
Ulrich Frey
University of Braunschweig, Germany
Recurring scientific errors and their connection to evolutionary cognitive psychology
Dr. Clark Glymour
Dept of Philosophy, Carnegie Mellon University
Senior Research Scientist at the Institute for Human and Machine Cognition (West Florida)
Rocks, Genes, Fire and Lead: Avoiding Testing
Dr. Galina Granek
Dept of Philosophy, University of Haifa
Scanning Tunneling Microscope (STM): an ancillary error that led to a gestalt switch
Christina Kayrouz
Dept of Philosophy, Western Kentucky University
"Debunking" the Global Warming Myth: Error and the Experimental Process in Climatology
Dr. Tom Koehnle
Dept Of Neuroscience, University of Pittsburg
Using Monte Carlo Simulations to Evaluate the Design and Analysis of Experiments: The Case of Pseudoreplication.
Dr. Jefferey Schank
Dept of Psychology, Animal Behavior Graduate Group, University of California Davis
Using Monte Carlo Simulations to Evaluate the Design and Analysis of Experiments: The Case of Pseudoreplication.
Dr. Aris Spanos & Students
Dept. of Economics, Virginia Tech
Severity Excel program
Jane Mazzaggatti
UNISYS Corporation; Blue Bell, PA
The Potential for Recognizing Errors in a Dataset Using a Computer Memory Resident Data Structure Based on the Phaneron of C.S. Peirce
Dr. Avital Pilpel
Dept. of Philosophy
University of Haifa
The Role of Theoretical Rationality in Dealing with Error
Dr. David Rudge
Department of Biological Sciences & The Mallinson Institute for Science Education, Western Michigan University
Kettlewell from an Error Statistician's Point of View
Dr. Bertold Schweitzer
Dept of Philosophy, University of Osnabruck
Bertold.schweitzer@uni-osnabrueck.de
How Something Works Is Most Easily found Out If It Doesn't Work
Dr. Leonard Smith
Oxford Centre for Industrial and Applied Mathematics, Oxford University
Using Error(s) to Improve and Interpret Nonlinear Models of Dynamic Systems
Roger Stanev
University of British Columbia
P-value Fallacy, Bayes Factor, Error Probabilities and Experimental Learning
Dr. Eric Walker
NASA Langley Research Center
Learning from Error in the Calibration and Validation of Mechanistic Models
Program Committee
Jean Miller
Depts of Philosophy & STS
Virginia Tech