Police Data Challenge: Meet the Judges

As the American Statistical Association (ASA) and Police Data Initiative’s first-ever Police Data Challenge draws near, we’d like to introduce the contest’s judges. Using the criteria described here, expert judges will evaluate the quality of your entries, including your assessment of the data and any implicit biases.

Meet the Police Data Challenge judges:

Jeri Mulrow
Acting Director, Bureau of Justice Statistics

Jeri has 30 years of experience as an applied statistician working in government, industry and academia. She is currently the acting director of the Bureau of Justice Statistics and previously held positions at the National Science Foundation’s National Center for Science and Engineering Statistics, National Institute of Standards and Technology, and more. She was previously vice president of ASA and currently is an ASA fellow.

Amber Askey
Senior Research Associate, The Police Foundation

Talk about a passion for justice. Prior to joining the Police Foundation, Amber was a research assistant for six years at Temple University’s Center for Security and Crime Science. She holds a bachelor’s degree in psychology from Northeastern University, a master’s degree in criminal justice from the University of Central Florida and is currently completing her doctorate in criminal justice at Temple University.

David Banks
Professor of the Practice of Statistics, Duke University

David started his career doing statistical analyses for a government contractor. Since completing his doctorate in statistics in 1984, he has served as chief statistician of the U.S. Department of Transportation and also worked for the U.S. Food and Drug Administration. He was co-founder of the Statistics and Public Policy journal. Among a number of other accomplishments, David recently won the American Statistical Association’s Founders Award. 

William Darity
Professor of Public Policy, Duke University

William is the founding director of the Samuel DuBois Cook Center on Social Equity at Duke University. Among a number of positions and accomplishments, he has been recognized as one of Politico’s 50 producers of major ideas in 2017 for his development of the federal job guarantee proposal. He has served as editor-in-chief of the most recent edition of the International Encyclopedia of the Social Sciences and as an associate editor of the new edition of the Encyclopedia of Race and Racism. He is a recipient of the Samuel Z. Westerfield Award from the National Economic Association.

Tom Fisher
Associate Professor of Statistics, Miami University

Prior to joining Miami University, Tom served as assistant professor at the University of Missouri. He also was visiting assistant professor and graduate teaching assistant at Clemson University as well as lab manager and security technician at COACT, Inc. Tom is an active participant in the Center for Analytics and Data Science at Miami and one of the key organizers for the Datafest competition.

Charles Loeffler
Jerry Lee Assistant Professor of Criminology, University of Pennsylvania 

Charles is an assistant professor in the University of Pennsylvania’s criminology department. He was previously a postdoctoral scholar at the University of Chicago Crime Lab and research associate in the Office of Policy Analysis at the United States Sentencing Commission. He received an M.Phil. in criminology from Cambridge University and an A.B. in social studies as well as a Ph.D. in sociology from Harvard University.

Mark Daniel Ward
Associate Professor of Statistics, Purdue University

Aside from being associate professor of statistics at Purdue University, Mark is also associate director of actuarial science and undergraduate chair. He received the Mu Sigma Rho William D. Warde Statistics Education Award, and also Purdue’s Most Outstanding Faculty in the Favorite Faculty program, as well as the Excellence in Research Award. He received a B.S. in mathematics and computer science at Denison University, a master’s in applied mathematical sciences at the University of Wisconsin and a Ph.D. in computational science at Purdue University.

Learn more about the Police Data Challenge here.

 

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