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Joseph B. ("Jay") Kadane is an emeritus professor of statistics and social sciences at Carnegie Mellon University. His bachelor's degree is from Harvard in Mathematics (1962) and his Ph.D is from Stanford in 1966. He is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the International Statistical Institute. He is also an elected member of the American Academy of Arts and Sciences.
His most socially significant legal work is his testimony in the case of State of New Jersey vs. Soto et.al. The data showed that the New Jersey State Police were stopping cars driven by black people at highly disproportionate rates. This case led to a consent decree with the Civil Rights Division of the Department of Justice. Some references:
New Jersey v. Soto et.al. (324 N.J.Super. 66, 734 A.2d 350 (Law Div. 1996)
Kadane, J.B. and Terrin,N. (1997) Missing Data in the forensic context, Journal of the Royal Statistical Society, Series A, 160, 351-357
Kadane, J.B. and Lamberth, J. (2009) Are blacks egregious speeding violators at extraordinary rates in New Jersey ?, Law, Probability and Risk, 8,139-152
He has also been active in assuring that trial venires are an adequate cross-section of the community. Some publications include:
Kairys, D., Kadane, J.B. and Lehoczky,J. (1977), Jury Representativeness: A mandate for multiple source lists, California Law Review, 65, 776-827
Kadane, J.B. (2002) Anatomy of a Jury Challenge, Chance, 15, 10-13
Chernoff,N.W. and Kadane, J.B. (2013) The 16 things every defense attorney should know about fair cross-section challenges, The Champion, 37 (#10), 14-35
His cv is available at www.stat.cmu.edu/~kadane/