Statistics in Physical Engineering Sciences Award
The Statistics in Physical and Engineering Sciences (SPES) Award was originally established in 1990 as the Statistics in Chemistry Award. Its purpose was to recognize outstanding collaborative endeavors between statisticians and chemists. Beginning in 2015, the award's scope was expanded to recognize excellence in partnerships among statisticians, scientists, and engineers across the many disciplines encompassed by the physical and engineering sciences. Consequently, the award was renamed the SPES Award to reflect this more inclusive scope.
The award is sponsored by donations from key industrial, pharmaceutical, and manufacturing companies. Each award recipient receives an engraved award and shares a cash prize.
The SPES Award is bestowed upon a distinguished individual or individuals based on their innovative use of statistics to solve a high-impact problem in the physical and engineering sciences.
In odd-numbered years, the award is presented for a paper published in a refereed statistics, physics, chemistry, or engineering journal during the previous two years.
In even-numbered years, the award is presented for distinguished work performed during the previous two years by a collaborative team of statisticians and practitioners in an industrial, manufacturing, or research organization.
To be eligible for the award, at least one member of the team must be a member of the ASA and a member of the Section on Physical and Engineering Sciences when nominated; however, there are no length-of-membership requirements.
Nomination, Award, and Lecture Dates
Nominations are due by February 28 each year. If the deadline date falls on a weekend, nominations will be accepted through the Monday following the due date. The award is presented at the Joint Statistical Meetings of the same year.
Responsibilities of the Award Recipient
The award recipients are responsible for providing current photographs and general personal information in time to meet required deadlines as set by the American Statistical Association (ASA) for the year the award is presented. The ASA uses this information to publicize the award and prepare the prize(s).
How to Submit a Nomination
Nomination letters, along with publication(s), should be sent to Ming Li, chair of the Statistics in Physical and Engineering Sciences Award committee, at email@example.com. Unpublished work should be described in a format similar to a published paper.
The 2015 Statistics in Physical Engineering Sciences Award honorees are Ming Li of REANCON, William Q. Meeker of Iowa State University, and R. Bruce Thompson of Iowa State University (1941-2011) for their paper "Physical Model-Assisted Probability of Detection of Flaws in Titanium Forgings Using Ultrasonic Nondestructive Evaluation" (Technometrics, 2014, 56:1, 78-91).
2014: Greg Piepel, Aimme Holmes, Alejandro Herendia-Langner, Kearn Lee, Steve Kelly (2014). "Relationships Based on Scaled Tank Mixing and Transfer Test Results". PNNL-22644, Rev. 1, Pacific Northwest National Laboratory Richland, Washington 99352. 2013: Peter Goos, University of Antwerp, Belgium and Steven G. Gilmour, University of Southampton, United Kingdom for their important collaborative work between the disciplines of statistics and chemistry.
2012: Bradley Jones of SAS Institute, JMP Division and Scott Allen of Novomer Inc. for outstanding collaborative work in developing a new catalyst for CO2-based polymers that sequester CO2.
2011: Thomas Brendan Murphy, Nema Dean, and Adrian E. Raftery for their paper "Variable Selection and Updating In Model-Based Discriminant Analysis for High Dimensional Data with Food Authenticity Applications" published in Annals of Applied Statistics, 4(1):396-421. This award recognizes outstanding collaborative endeavors between statisticians and chemists for their innovative use of statistics to solve a problem in chemistry. This paper clearly identified a real-world problem in food chemistry and developed a statistical methodology that provides a practical solution.
2008: Cliff Spiegelman, William A. Tobin, William D. James, Simon J. Sheather, Stuart Wexler, and D. Max Roundhill for the paper, "Chemical and Forensic Analysis of JFK Assassination Bullet Lots: Is a Second Shooter Possible?", Annals of Applied Statistics, 1 (2):287-301.
2007: No award.
2006: Katja S. Remlinger, GlaxoSmithKline R&D, Jacqueline M. Hughes-Oliver, North Carolina State University, S. Stanley Young, National Institute of Statistical Sciences, and Raymond L.H. Lam, Centocor, in recognition of their paper, "Statistical Design of Pools Using Optimal Coverage and Minimal Collision," published in the Technometrics, Vol. 48, No. 1 (Feb., 2006)
2005: No award.
2004: Douglas M. Hawkins, University of Minnesota, and Subhash C. Basak and Denise R. Mills, Natural Resources Research Institute, University of Minnesota Duluth, "Assessing Model Fit by Cross-Validation," published in the Journal of Chemical Information and Computer Sciences, Vol. 43, (2003): pp. 579-586
2003: Paul E. Blower, LeadScope, Inc., Michael A. Fligner and Joseph S. Verducci, The Ohio State University, and Jeffrey Bjoraker, Deutsche Bank Securities, Inc., "On Combining Recursive Partitioning and Simulated Annealing to Detect Groups of Biologically Active Compounds" published in the Journal of Chemical Information and Computer Sciences, Vol. 42, No. 2, (2002): pp. 393-404
2002: Clifford H. Spiegelman, John Wikander, and Gerard L. Cote, Texas A&M University, and D. Patrick O'Neal, Lycos, "A Simple Method for Linearizing Nonlinear Spectra for Calibration," Chemometrics and Intelligent Laboratory Systems Journal, Vol. 60 (January 2002): pp. 197-209
2001: No award.
2000: Raymond L. H. Lam, Glaxo Wellcome Inc. Canada, William J. Welch, University of Waterloo, S. Stanley Young, Glaxo Wellcome Inc., "Uniform Coverage Designs for Molecule Selection," Technometrics, Vol. 44, No. 2 (May 2002): pp. 99-109
1999: No award.
1998: Douglas M. Hawkins, University of Minnesota, Andrew Rusinko, Alcon Labs, and S. Stanley Young, Glaxo Wellcome Inc., "Analysis of a Large Structure-Activity Data Set Using Recursive Partitioning," Quantitative Structure-Activity Relationships, Vol. 16 (1997): pp. 296-302
1997: David M. Rocke, University of California Davis, and Stefan Lorenzato, California Department of Water Resources, "A Two-Component Model for Measurement Error in Analytical Chemistry," Technometrics, Vol. 37, No. 2 (May 1995): pp. 176-1984
1996: Peng-Liang Zhao, James A. Bolognese, Robert B. Nachbar and Kevin Chapman, Merck Research Laboratories, "Two New Criteria for Choosing Sample Size in Combinatorial Chemistry," Journal of Medicinal Chemistry, Vol. 39 (1996): pp. 350-352
1996: Peng-Liang Zhao, James A. Bolognese, Robert B. Nachbar, and Kevin Chapman, Merck Research Laboratories, and Robert A. Zambias and David Boulton, ArQule, "Sample Size Determination in Combinatorial Chemistry," Proceedings of the National Academy of Sciences, USA, Vol. 92 (1995): pp. 10212-10216 1995: Charles K. Bayne, Oak Ridge National Laboratory, David L. Donohue and Rudolf Fieldler, International Atomic Energy Agency's Safeguards Analytical Laboratory in Seibersdorf, Austria, "Multidetector Calibration for Mass Spectrometers," International Journal of Mass Spectrometry and Ion Processes, Vol. 134 (1994): pp. 169-182
1994: Andrea H. Kemna, Weyerhaeuser Company, Wallace E. Larimore, Adaptic Inc., Duncan A. Mellichamp and Dale E. Seborg, University of California at Santa Barbara, and Charles D. Schaper, Stanford University, "Identification of Chemical Processes using Canonical Variate Analysis," Computers and Chemical Engineering, Vol. 18, pp. 55-69, 1994, and also, "On-line Multivariable Identification and Control of Chemical Processes Using Canonical Variate Analysis,'' Proc. of the American Control Conference, held June 28 - July 1, 1994, Baltimore, MD
1993: Cheng Yu Ma, and Charles K. Bayne, Oak Ridge National Laboratory, "Differentiation of Aroclors Using Linear Discrimination for Environmental Samples Analyzed by Electron Capture Negative Ion Chemical Ionization Mass Spectrometry," Analytical Chemistry, Vol. 65, No. 6 (1993): pp. 772-777