Analytics Section of INFORMS NewsStanford team wins Syngenta Crop Challenge
Syngenta and the Analytics Society of INFORMS named Xiaocheng Li, Huaiyang Zhong and associate professors David Lobell and Stefano Ermon – a team from Stanford University – as the winners of the inaugural Syngenta Crop Challenge in Analytics. The team was awarded a $5,000 prize for their entry, “Hierarchy modeling of soybean variety yield and decision making for future planting plan,” which modeled a system for predicting soybean seed variety selection.Read More
Analytics Section of INFORMS NewsInnovative Applications in Analytics Award
The Innovative Applications in Analytics Award (IAAA), which recognizes creative and unique developments, applications or combinations of analytical techniques used in practice, has garnered significant interest in its brief life. The IAAA for 2016 was awarded to an MIT-led team for its submission entitled, “An Analytics Approach to the Clock Drawing Test for Cognitive Impairment,” during the recent INFORMS Conference on Analytics & Operations Research in Orlando. Fla.Read More
Analytics Section of INFORMS NewsWelcome to the Analytics Society!
The Analytics Section has become INFORMS’ newest society, and we are now the Analytics Society of INFORMS. Achieving society status recognizes our significantly increased membership base and our vastly expanded scope of activities, all of which were on display at the 2016 INFORMS Conference on Business Analytics & Operations Research in Orlando, Fla. We are still the fastest growing subdivision of the Institute!Read More
Innovation in Analytics Award
Booz Allen Hamilton and IBM, the top two finishers in the inaugural 2011-2012 Innovation in Analytics Award sponsored by the Analytics Section of INFORMS, will give a reprise of their award-winning presentations at the 2012 INFORMS Annual Meeting in Phoenix, Ariz., this fall. The presentations will be made Oct. 16 as part of the conference’s Analytics Track. Booze Allen Hamilton will describe its award-winning application on immigrations and customs enforcement, while IBM will present its work on scheduling software maintenance teams.
During the same track, semifinalists for the 2012-2013 Innovation in Analytics Award will have an opportunity to present their work. The 2012-2013 entries represent diverse and respected organizations such as MIT, University of Chicago, Ford, General Electric, IBM and the Texas Department of Transportation. The semifinalists will be competing for three finalist positions at next spring’s INFORMS Analytics Conference in San Antonio, Texas.
Booz Allen Hamilton: “Managing Immigration and Customs Enforcement's Program Operations with Innovative Analytics”
Since 2009, Booz Allen has supported Immigration and Customs Enforcement (ICE) Law Enforcement Systems and Analysis (LESA) unit’s effort to increase criminal alien removals with descriptive, predictive, and prescriptive analytics. These analytics are used to quantify resource needs; assess performance against objectives; and determine strategic direction. Five models – The Strategic Decision Model (SDM), Operational Workforce Analysis, Criminal Alien Population Model, Deployment Optimization Model and the Network Optimization Mode – were used for this innovative analytics support.
The innovation is in the integration of models, the outcome-centered approach and how these models deliver traditional industrial engineering solutions to creatively solve a public sector challenge of immigration enforcement. Over the last three years, Booz Allen has changed the way that ICE talks about, and thinks about, performance. Booz Allen has shaped the thinking of ICE’s senior leadership and supported the development of an agency-wide, quantitatively driven strategy to identify and remove criminal aliens from the U.S. effectively and efficiently. The agency looks for opportunities to “optimize” rather than just seek incremental improvements. The evolution in mindset is one strong impact of the analytics support at ICE.
IBM: “Service Delivery Modeling and Optimization”
The IBM project addresses the problem of identifying optimal staffing (staffing levels, shifts and skills) for IBM's globally located IT service delivery teams. Over the past three years, the project team has defined, developed and deployed complex simulation models across multiple service line disciplines. These models have been deployed on a massive scale across the global scope of the IBM delivery organization. This has resulted in improved resource usage, delivery efficiency, and service quality over a large number of service delivery teams.
The 2012-2013 Innovation in Analytics Award semifinalists and presentations include:
• Mental Health Center of Denver and the University of Alberta School of Business, “Data-Driven Appointment Scheduling in the Presence of No-Shows”
Ford Motor Company and MIT, “Robust Routing for Battery Electric Vehicles”
Con Edison, Columbia University and MIT, “Machine Learning for Power Grid Reliability: Predicting Manhole Events in New York”
GfK Custom Research, LLC, “Using Shapley Value Analytics to Set Customer Satisfaction Priorities Base of Kano Theory”
University of Chicago, “Fully Adaptive Designs for Clinical Trials: Simultaneous Learning from Multiple Patients”
GE Global Research Center, “Whole-hospital Operational Forecasting System”
University of Illinois, Central Illinois Technology and Educational Research Institute and University of Buffalo, “BracketOdds: Examining the NCAA Men’s Basketball Tournament with Advanced Analytics”
Westfield Insurance and IBM, “Insurance Agency Productivity, Efficiency and Prospecting”
Texas DOT, Texas Transportation Institute, Texas A&M University and University of Texas at El Paso, “A System for Optimizing Advance Acquisition of Right-of-Way for Highways at TxDOT”
SARK7 and Nyenrode Business University, “Sustainable Investment Decision Analysis: Integrated Techno-Economic Analysis for a Biofuel Initiative”