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UPS George D. Smith Prize

The George D. Smith Prize is aimed at strengthening ties between academia and industry by rewarding institutions of higher education for effective and innovative preparation of students to be good practitioners of operations research. The Prize is generously underwritten by UPS. Awarded for the first time in 2012, past winners are Carnegie Mellon University, H. John Heinz III College, Sauder School of Business, University of British Columbia – Center for Operations Excellence, MIT Leaders for Global Operations, Naval Postgraduate School, and Tauber Institute for Global Operations at University of Michigan.

Competing for the 2019 Smith Prize are:

  • University of Cincinnati Operations, Business Analytics and Information Systems Department
  • University of Maryland Department of Decision, Operations & Information Technologies 
  • University of South Carolina Operations and Supply Chain Program, 
    Management Science Department

The teams will present their work to the judges on Sunday, April 14.

The Smith Prize winner will be announced at the Edelman Gala on Monday, April 15.  The 2019 winner will give their presentation on Tuesday, April 16 in the INFORMS Prizes & Special Sessions Track.

Daniel H. Wagner Prize for Excellence in Operations Research

The Daniel H. Wagner competition is held each fall at the INFORMS Annual Meeting. The 2018 Wagner Prize Reprise will take place on Monday, April 15 in the INFORMS Prizes & Special Sessions Track.

The 2018 Wagner Winner is Cornell University for their work, “Analytics and Bikes: Riding Tandem with Motivate to Improve Mobility,” which provided unique application of analytics and O.R. to improve the placement of bike docking stations and create an inventive approach to replenish and rebalance these docking stations, was presented by Daniel Freund, Shane G. Henderson, and David B. Shmoys and Eoin O’Mahony. 

This prize emphasizes the quality and coherence of the analysis used in practice. Dr. Wagner strove for strong mathematics applied to practical problems, supported by clear and intelligible writing. The Wagner Prize recognizes those principles by emphasizing good writing, strong analytical content and verifiable practice successes. The competition is held and the winner is announced at the INFORMS Annual Meeting in the fall.

Past awardees include practitioners and researchers from Lehigh University and the Pennsylvania Department of Corrections, The Forestry Research Institute of Sweden, CDC, Ford, U.S. Coast Guard, Intel, IBM T. J. Watson Research, Schneider National, Boston University, University of Florida, and others.

Innovative Applications in Analytics Award

Sponsored by Caterpillar and the INFORMS Analytics Society

The IAAA Finalists will present on Tuesday, April 16 in the INFORMS Prizes & Special Sessions Track.  The winner will be announced at the conference.

The teams competing for the 2019 IAAA are:

  • Labs for “A Machine Learning Approach to Shipping Box Design”
  • Singapore University of Technology and Design for “InnoGPS: Innovation Global Positioning System”
  • Center for Operations Research in Medicine and HealthCare for “Machine Learning: Multi-site Evidence-based Best Practice Discovery”
  • Washington University in Saint Louis for “Taking Assortment Optimization from Theory to Practice: Evidence from Large Field Experiments on Alibaba”
  • University of Wisconsin, Duke University, Harvard University, and Massachusetts General Hospital, Westover for “Transparent Machine Learning Models for Predicting Seizures in ICU Patients from cEEG Signals”
  • Verizon for “Using Advanced Analytics to Rationalize Tail Spend Suppliers at Verizon”

The purpose this award is to recognize the creative and unique application of a combination of analytical techniques in a new area. The prize promotes the awareness and value of the creative combination of analytics techniques in unusual applications to provide insights and business value.  The Analytics Section leadership would like to cordially thank all the members of the judging committee for their hard work in selecting these finalists.

INFORMS O.R. & Analytics Student Team Competition

Finalist Competition – Conference attendees invited!

Monday, 9:10am-12:30pm
Room 310/311

Six student teams from five countries across the world will compete as finalists in the annual INFORMS O.R. & Analytics Student Team Competition. This INFORMS prize, now in its third year, recognizes outstanding solutions to real-world problems developed by undergraduate and master’s student teams. First Prize is $7,500.

Finalist presentations:

9:10-9:30am – University of Belgrade, Serbia
9:40-10:00am – Tilburg University, the Netherlands
10:30-10:50am – University of Maryland University College, USA
11:00-11:20am – Hankuk University of Foreign Studies, Republic of Korea
11:40am-12:00pm – Hebrew University of Jerusalem, Israel
12:10-12:30pm – Korea Advanced Institute of Science and Technology, Republic of Korea

A panel of 21 academic and industry experts judged written submissions to select the six finalists; the six teams will then be judged on their oral presentations and written entries on Monday. Winners will be announced at the conference luncheon on Tuesday.

This year’s Competition problem was provided by the 2019 Title Sponsor, General Motors. Students were challenged to look into the future to analyze how autonomous vehicles may change GM’s vehicle delivery and operating processes. As Title Sponsor, GM generously supported the competition with funding as well as providing the problem statement and company data.

BNSF Railway supported the Competition as Event Sponsor. In addition, 10 technology companies offered complimentary access to their software and are named as software sponsors: AIMMS, AMPL, FICO, GAMS, GUROBI Optimization, IBM, LINDO Systems, MathWorks, PALISADE, Simio.

To find out more:

Syngenta Crop Challenge in Analytics

Today, the agriculture industry works to optimize the amount of food we gain from plants by breeding plants with the strongest, highest-yielding genetics. Scientists at R&D organizations like Syngenta create stronger plants by breeding and then selecting the best offspring over time to provide to farmers. Data-driven strategies can help our industry breed better seeds, faster. Developing models that identify robust patterns in our experimental data may help scientists more accurately choose seeds that increase the productivity of the crops we plant – and help address the growing global food demand.

How can we use data to address the growing global food demand?

The finalists will present on Monday, April 15.  The winner will be announced on Tuesday, April 16 during the conference.