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Michael D. Maltz (1938) is an American electrical engineer, criminologists and Emeritus Professor at University of Illinois at Chicago in criminal justice, and adjunct professor and researcher at Ohio State University.
[edit] BiographyMichael Maltz was born in Brooklyn, New York on December 18, 1938. In 1963, Maltz earned a Ph.D. in electrical engineering from Stanford University. Maltz was professor at University of Illinois at Chicago in criminal justice, and adjunct professor and researcher at Ohio State University. He was also the editor of the "Journal of Quantitative Criminology" from 1995 to 2000. In 1985 Maltz was awarded the prestgious Lanchester Prize[1] by the Operations Research Society of America, recognizing his book Recidivism[2] as that year's "best contribution to operations research and the management sciences published in English". This book also won the Leslie T. Wilkins Award for the Outstanding Book in the Fields of Criminology and Criminal Justice. In 1996 Maltz had a Fulbright Scholarship at El Colegio de Michoacán in Mexico. [edit] WorkMichael Maltz' research focuses on the application of operations research and data visualization to the field of criminology. [edit] Crime mappingIn addition to authoring books on recidivism and crime mapping, he has been a strong advocate of ensuring that inferences made from data are not attributable to biases in the data used, nor to the way they were collected, nor to the methods used to analyze them. This interest has surfaced most publicly in his critique of John Lott’s More Guns, Less Crime (see link to "A Note on the Use of County-Level UCR Data" below) based primarily on a detailed analysis of the validity of the Uniform Crime Reports data set that Lott used to draw his conclusions. A particularly lucid explanation of the pitfalls of improper use of statistics in social science (and, in particular, criminology) is contained in his article "Deviating from the Mean: The Declining Significance of Significance". [edit] PublicationsMaltz has published numerous books and articles on techniques for making valid and useful inferences from data. Books, a selection:
Articles, a selection:
[edit] References[edit] External links
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