Conference Daily Schedule Updated: 03/22/18

Sunday – April 15, 2018

7:00am-5:00pmConference RegistrationGrand Ballroom Foyer
8:00am-5:00pmINFORMS Early Career Professionals’ NetworkGrand Ballroom II
9:00am-10:45am

Technology Workshops

Kent A

Optimization Direct
DSx and CPLEX: Overview of Data Science Experience for Advanced Modeling and Optimization and Latest Developments/Results in CPLEX and ODh+CPLEX
Kent B
SAS Education & Practice
Sentiment Analysis of Donald Trump’s Tweets
11:00am-12:45pm

Technology Workshops

Kent A
SIMIO
New Innovations: Cloud Computing, Real-Time Scheduling, Industry 4.0, and More
Kent B
IBM
Decision Optimation-Integration in DSX
Kent C
JMP, A Division of SAS
JMP Pro: Top Features That Make You Say “Wow”! The Best of the Best in JMP Pro 14
Laurel A
MathWorks
Data Analytics with MATLAB
Laurel B
Provalis Research
Learn How to Perform Text Mining in Business Analytics
1:00pm-2:45pm

Technology Workshops

Kent A
SAS
Solving Business Problems with SAS Analytics and OPTMODEL
Kent B
Lindo Systems, Inc.
A Guide to Applying Optimization in Multiperiod Planning Pitfalls, Prescriptions, and Practical Advice
Kent C
Webbmason
Building an Analytics Center of Excellence – People, Process, Technology, Governance, and ROI
Laurel A
AnyLogic Company
Applying AnyLogic Simulation to Solve Multiple Business Challenges
Laurel B
Princeton Consultants, Inc.
pandas for Analytics Practitioners, with Applications in Optimization
Laurel C
Booz Allen Hamilton
Supercharge Your Operations Research with Deep Learning
1:00pm-6:00pmAnalytics Career FairHarborside Ballroom C
3:00pm-4:45pm

Technology Workshops

Kent A
FICO
Calling All O.R. Heroes: Learn How to Model and Deploy Solutions in 75% Less Time with FICO® Xpress Insight
Kent B
AMPL
Model-Based Optimization, Plain and Simple: From Formulation to Deployment with AMPL
Kent C
Gurobi
Recent Developments in the Gurobi Optimizer
Laurel A
AIMMS
Prescriptive Analytics in Action: Turning Ideas into Results and Improving Decision Making Across Your Organization
Laurel B
Frontline Systems, Inc.
Full-Spectrum Analytics in Excel, Tableau, Power BI, or Your Own Application
Laurel C
Artelys Corp.
Nonlinear Optimization in a Nutshell with Artelys Knitro
5:30pm-7:30pmExecutive Forum (Invite Only)Waterview
6:00pm-7:00pmNewcomers ReceptionHarborside Ballroom A
6:00pm-7:00pmCareer Fair Employer Reception (Invite Only)Grand Ballroom III & IV
7:00pm-8:30pmWelcome Reception and ExhibitsGrand Ballroom V & VI

Monday – April 16, 2018

7:00am-5:00pmRegistrationGrand Ballroom Foyer
7:00am-8:00amContinental BreakfastHarborside Ballroom ABC
7:00am-8:00amAnalytics Employment Outlook PanelWaterview ABC
8:00am-9:00amWelcome (INFORMS President and Jack Kloeber, General Chair)
Opening Keynote: Bill Schmarzo, Hitachi Vantara
Big Data MBA – What is the Value of Your Data?
Harborside Ballroom ABC
9:00am-4:30pmExhibits OpenGrand Ballroom V & VI
9:00am-5:00pmAnalytics Connect Interviews (By Appointment)Grand Ballroom V & VI
9:10am-10:00am

Track Sessions

Track 1: Analytics Process

Grand Ballroom I/II
Analytics Book of Knowledge
James Cochran, Univ. of Alabama

Track 2: Decision & Risk Analysis

Grand Ballroom III/IV
Intuition vs. Analytics: The Role in Executive Decision Making
Jay Liebowitz, Harrisburg Univ. of Science & Technology

Track 3: Revenue Management & Pricing

Grand Ballroom VII/VIII
Dynamic Pricing in a Two-sided Marketplace
Robert L. Phillips, Uber

Track 4: Supply Chain Analytics

Grand Ballroom IX/X
Aligning Analytics & Culture: Is Your Org. Ready for the Industry’s Digital Transformation
Michael Bentley, Revenue Analytics

Track 5: 2018 Franz Edelman Award Competition

Dover
Turner Blazes a Trail for Audience Targeting on TV with O.R. & Adv. Analytics
Turner Broadcasting Systems, Inc.

Track 6: INFORMS Prizes & Special Sessions

Essex AB
2017 INFORMS Prize Reprise
Air Force

Track 7: Predictive Analytics

Essex C
Hierarchical Statist. Demand Forecasting at Dow Chemical: Business Challenge, Data, Methods, Tools & Value
Ameya Dhaygude & Barnali Bhattacharjee, The Dow Chemical Company

Track 8: Analytics in Crime & Government

Laurel AB
Using Simulation to Predict & Improve Autoscaling Behavior for Yelp’s Distributed Sys.
David R. Morrison, Yelp

Track 9: Big Data & Data Mining

Laurel CD
Four Things Women in Data Science Can Learn From Game of Thrones
Jennifer Priestley, Kennesaw State Univ.

Track 10: Technology Tutorials

Falkland
anyLogistix Supply Chain Software: New Features & Roadmap
Timofey Popkov & Robert de Souza, The AnyLogic Company

Track 11: Technology Tutorials

Galena
A DOCplex and ODH|CPLEX Python Primer
Joshua Woodruff & Robert Ashford, Optimization Direct

Track 12: Technology Tutorials

Heron
Automatic Benders Decomposition in CPLEX
Ed Klotz, IBM

9:10am-12:20pmSyngenta Crop Challenge in AnalyticsWaterview D
9:10am-1:00pmOR and Analytics Student Team CompetitionKent
10:00am-10:30amRefreshment Break in Exhibit HallGrand Ballroom V & VI
10:30am-11:20am

Track Sessions

Track 1: Analytics Process

Grand Ballroom I/II
Doing Data Science at Scale
Gridhar Tatavarty, 84.51°

Track 2: Decision & Risk Analysis

Grand Ballroom III/IV
Trade-off Analytics
Greg Parnell, Univ. of Arkansas

Track 3: Revenue Management & Pricing

Grand Ballroom VII/VIII
Predictive Modeling for Contract Pricing
Nancy Pyron, Analytics, Strategic, and Organizational Consultant

Track 4: Supply Chain Analytics

Grand Ballroom IX/X
E-commerce Site ‘Click’ Data & Machine Learning for Stock-out Costs & Inventory Pricing
Ray Ernewein, Walmart Inc.

Track 5: 2018 Franz Edelman Award Competition

Dover
Analytics Makes Inventory Planning a Lights-Out Activity at Intel Corporation
Intel Corporation

Track 6: INFORMS Prizes & Special Sessions

Essex AB
2017 Wagner Prize Reprise – The Inmate Assignment & Scheduling Problem: Application to the PA Dept. of Corrections
Lehigh Univ. & the Pennsylvania Dept. of Corrections

Track 7: Predictive Analytics

Essex C
Enabling State-of-the-art Time-series Forecasting
Anssi Kaki, UPM-Kymmene Corporation

Track 8: Analytics in Crime & Government

Laurel AB
Concepts for Optimal Resource Mgmt. in Command & Control
Richard G. McGrath, U.S. Naval Academy

Track 9: Big Data & Data Mining

Laurel CD
Forecasting Airport Transfer Passenger Flow using Machine Learning & Real-time Data
Yael S. Grushka-Cockayne, Darden School of Business

Track 10: Technology Tutorials

Falkland
Building & Solving Optim. Models with SAS
Rob Pratt & Ed Hughes, SAS

Track 11: Technology Tutorials

Galena
Introducing the New API and Conic Solver in Artelys Knitro 11.0
Richard Waltz, Artelys

Track 12: Technology Tutorials

Heron
Why Data Science Projects Fail to Activate
Todd Jones, Webbmason

11:30am-12:20pm

Track Sessions

Track 1: Analytics Process

Grand Ballroom I/II
You Have a Model, So What?
Anu Raman, Monsanto

Track 2: Decision & Risk Analysis

Grand Ballroom III/IV
Prepare or Wait? The Marine Forces Reserve Hurricane Decision Simulator
Eva Regnier, Naval Postgraduate School

Track 3: Revenue Management & Pricing

Grand Ballroom VII/VIII
Revenue Mgmt. in the Self-storage Industry
Ahmet Kuyumcu, Prorize

Track 4: Supply Chain Analytics

Grand Ballroom IX/X
Communicating the New Machine: Human Insight at Machine Scale
Kristian Hammond, Narrative Science

Track 5: 2018 Franz Edelman Award Competition

Dover
Natural Gas Pipeline Transmission Optim. for CNPC
China National Petroleum Corporation

Track 6: INFORMS Prizes & Special Sessions

Essex AB
Professional Development for Analytics Professionals
Tasha Inniss & Bill Griffin, INFORMS, Freeman Marvin, Innovative Decisions, Inc., and James Cochran, Univ. of Alabama

Track 7: Predictive Analytics

Essex C
A Text Analytic Approach to Match Customers with Agents in Online Service Centers
Noyan Ilk, Florida State Univ.

Track 8: Analytics in Crime & Government

Laurel AB
Prescriptive Analytics for Political Districting: An Example from Germany
Marco Lübbecke, RWTH Aachen Univ.

Track 9: Big Data & Data Mining

Laurel CD
A Blockchain & Business Analytics Case Study
Michael Zargham, BlockScience

Track 10: Technology Tutorials

Falkland
Gurobi Compute Server & Instant Cloud
Michel Jaczynski, Gurobi Optimization

Track 11: Technology Tutorials

Galena
Optimization Modeling Tools from LINDO Systems
Mark Wiley, Lindo Systems, Inc.

Track 12: Technology Tutorials

Heron
Learn How to Perform Text Mining in Business Analytics
Adam Bendriss Alami, Provalis Research

12:30pm-1:45pm‘Feed Your Mind’ Networking LunchHarborside Ballroom ABC
1:50pm-2:40pm

Track Sessions

Track 1: Analytics Process

Grand Ballroom I/II
Analytic Practice in the Assessment Div. (N81) at the Office of the Chief of Naval Operations
LCDR Connor McLemore, Office of the Chief of Naval Operations

Track 2: Decision & Risk Analysis

Grand Ballroom III/IV
O.R. Inside P&C: Sizzling Business Appl. of Analytics in Insurance
Marty Ellingsworth, Salt Creek Analytics

Track 3: Revenue Management & Pricing

Grand Ballroom VII/VIII
Maximizing the Total Travel Experience at American Airlines
Marcial Lapp, American Airlines

Track 4: Supply Chain Analytics

Grand Ballroom IX/X
Building an Analytics Culture at Avnet
Lalit Wadhwa, Avnet

Track 5: 2018 Franz Edelman Award Competition

Dover
Collaborative Systems Analytics: Establishing Effective Clinical Practice Guidelines for Advancing Congenital Cardiac Care
Pediatric Heart Network

Track 6: INFORMS Prizes & Special Sessions

Essex AB
2017 INFORMS Prize Reprise – The Walt Disney Company
Peter Buczkowski and Dayana Cope, The Walt Disney Company

Track 7: Predictive Analytics

Essex C
Winning Small & Medium Businesses through Digital Insights
Ity Kanoria, Hewlett Packard Enterprise

Track 8: Analytics in Crime & Government

Laurel AB
Using Public Data to Improve Accuracy of North American Industry Classification System Codes at the Census Bureau
John Cuffe, U.S. Bureau of the Census

Track 9: Big Data & Data Mining

Laurel CD
Connected Marketplace Dynamics
Manjeet Singh, DHL Supply Chain

Track 10: Technology Tutorials

Falkland
How to Deploy your ML and Optimization Models to Empower Non-technical Business Users
Jim Williams, FICO

Track 11: Technology Tutorials

Galena
Optimizing Hydropower Generation
Violette Berge, Artelys Canada

Track 12: Technology Tutorials

Heron
Optimization-Simulation: How to Test Models Without Disrupting Oper.
Patricia Randall, Princeton Consultants

2:45pm-3:35pm

Poster Session and Refreshment Break with Exhibits

Single Session – Track 5: 2018 Franz Edelman Award Competition

Track 5: 2018 Franz Edelman Award Competition

Dover
Unlocking the Beachfront: Using O.R. to Repurpose Wireless Spectrum
FCC

Grand Ballroom Foyer & Grand Ballroom V & VI
3:05pm-3:35pmCAPS & Coffee (Invite Only)Chasseur
3:40pm-4:30pm

Track Sessions

Track 1: Analytics Process

Grand Ballroom I/II
Starting Strong & Finishing Effectively: Techniques for Driving Actionable Results
Tim Wilson and Lea Pica, Search Discovery

Track 2: Decision & Risk Analysis

Grand Ballroom III/IV
Indication Sequencing: Complex Decision Making in the Pharmaceutical Industry
Steve Hamlen, Kromite LLC

Track 3: Revenue Management & Pricing

Grand Ballroom VII/VIII
RM & Pricing Analytics on the Cloud: Innovative Revenue Management Applications that Drive Organic Revenue Uplift for Your Org.
Dan Illiescu, Revenue Analytics

Track 4: Supply Chain Analytics

Grand Ballroom IX/X
Supply Chain Analytics at Intel
Gary Godding, Intel

Track 5: 2018 Franz Edelman Award Competition

Dover
Opticar–Forecast, Simulation & Optim. for Vehicle Rentals
Europcar

Track 6: INFORMS Prizes & Special Sessions

Essex AB
Panel: Competing with CAP
Moderator: Zahir Balaporia, FICO

Track 7: Predictive Analytics

Essex C
Mktg. Language Optim. using Natural Language Processing Techniques: High Impact Copy that Maximizes ROI
Pavan Korada, Zeta Global

Track 8: Analytics in Crime & Government

Laurel AB
Predictive & Prescriptive Models of Cybercrime & Cybersecurity Investments under Network Vulnerability
Anna B. Nagurney, Univ. of Massachusetts

Track 9: Big Data & Data Mining

Laurel CD
Improving Forecasting Process using Machine Learning
Bahadir Aral, SAS Institute Inc.

Track 10: Technology Tutorials

Falkland
AMPL in the Cloud: Using Online Services to Develop & Deploy Optim. Apps through Algebraic Modeling
Robert Fourer, Filipe Brandao,& Martin Laskowski, AMPL Optimization

Track 11: Technology Tutorials

Galena
ALAMO: Machine Learning from Data and First Principles
Nick Sahinidis,The Optimization Group

Track 12: Technology Tutorials

Heron
JMP Pro & the Analytics Workflow
Mia Stephens, JMP, a Division of SAS

4:40pm-5:30pmNetworking BreakHarborside Foyer
5:00pm-6:00pmWomen in OR/MS: Cocktails and Questions with Diane Bryant, COO Google CloudKent
6:00pm-7:00pmHonors Reception (Invite Only)Dover
7:00pm-10:00pm2018 Edelman Award Ceremony & BanquetHarborside Ballroom

Tuesday – April 17, 2018

7:00am-3:00pmRegistrationGrand Ballroom Foyer
7:00am-8:00amContinental BreakfastHarborside Ballroom ABC
7:00am-8:00amAnalytics Section Awards Breakfast (Invite Only)Waterview AB
7:00am-8:00amWomen in OR/MS Networking BreakfastWaterview CD
8:00am-9:00amWelcome & Introduction (Jack Kloeber, General Chair)
Plenary Speaker: Bruce Greenstein, HHS
Connecting Data to Advance HHS
Harborside Ballroom ABC
9:00am-3:40pmExhibits OpenGrand Ballroom V & VI
9:00am-5:00pmAnalytics Connect Interviews (By Appointment)Grand Ballroom V & VI
9:10am-10:00am

Track Sessions

Track 13: Marketing Analytics

Grand Ballroom I/II
Methods for Measuring Ad Effectiveness: Experimental & Observational Methods with Validation Techniques
Robert Moakler, Facebook

Track 14: Analytics on Unstructured Data

Grand Ballroom III/IV
Using Unstructured Data Analytics to Find Corporate Acquisition Targets
Anuradha Bhamidipaty, IBM

Track 15: Analytics Leadership

Grand Ballroom VII/VIII
Creating Value from Data at HHS
Mona Siddiqu, U.S. Department of Health & Human Services

Track 16: Emerging Analytics

Grand Ballroom IX/X
Using AI to Optimize Retail Operations
Michael Feindt, Blue Yonder

Track 17: Analytics in Public Sector

Dover
Army Data Analytics: Moving from a Coalition of the Willing to a Total Army Approach
Charles T. Brandon, III, Headquarters Department of the Army

Track 18: INFORMS Prizes & Special Sessions

Essex AB
IAAA Finalists
Automatic Train Identification: Multidisciplinary Approach to Improve Safety & Efficiency
BNSF Railway

Analytics to Reduce Costs and Improve Quality in Wastewater Treatment
IBM

Track 19: Supply Chain & Logistics

Essex C
Facilitating the Shift Toward a Data Driven Culture Using Human Centric Analytics
Christina Jane Phillips, Univ. of Leeds

Track 20: Analytics Process

Kent AB
“Should We?” Not Just “Can We?”: Ethical Considerations in Data Science & Bus. Analytics
Scott Nestler, Univ. of Notre Dame

Track 21: Prescriptive Analytics

Kent C
Applying O.R. in Trait Introgression to Improve Monsanto Traited Products
Bing Liu, Monsanto

Track 22: Technology Tutorials

Laurel AB
Analytics Model Review & Validation
Irv Lustig, Princeton Consultants, Inc.

Track 23: Technology Tutorials

Laurel CD
Predictive & Prescriptive Analytics with MATLAB
Mary Fenelon, MathWorks

10:00am-10:30amRefreshment Break in Exhibit HallGrand Ballroom V & VI
10:30am-11:20am

Track Sessions

Track 13: Marketing Analytics

Grand Ballroom I/II
Decisions with Confidence: Using Experiments & Predictive Modeling to Make Roll-Out Decisions
Brian Pujanauski, Applied Predictive Technologies

Track 14: Analytics on Unstructured Data

Grand Ballroom III/IV
Picking Winners: A Framework for Venture Capital Investment
Tauhid Zaman, MIT

Track 15: Analytics Leadership

Grand Ballroom VII/VIII
Cognitive Data Science: The Correct Algorithm Makes All the Difference
Bill Roberts, Deloitte Consulting LLP

Track 16: Emerging Analytics

Grand Ballroom IX/X
Applying NLP to Improve Customer Experience at Southwest
Vijay Wadhwa, Southwest Airlines

Track 17: Analytics in Public Sector

Dover
Advanced Analytics at the National Geospatial-Intelligence Agency
Jon Breece, NGA

Track 18: INFORMS Prizes & Special Sessions

Essex AB
IAAA Finalists
MPA Safer System
IBM

A Model Driven Approach to Store Selling Space Optim.
Macy’s

Track 19: Supply Chain & Logistics

Essex C
Secure Distributed Comput. Processing for Industry Statist. Data
Cavan Paul Capps, U.S. Census Bureau

Track 20: Analytics Process

Kent AB
Embedding Analytics in a Healthcare Org.
Nick Kastango, Memorial Sloan Kettering Cancer Center

Track 21: Prescriptive Analytics

Kent C
A Quality Analytics Decision Tool
Shanshan Qiu, Ford Motor Company

Track 22: Technology Tutorials

Laurel AB
Bring Your Analytics Simulation to Your Fingertips through Open Source
Patrick McCreesh, Chris Brown, Ryan Haughey & Tyler Buffum, Booz Allen

Track 23: Technology Tutorials

Laurel CD
16 Tips for Teaching a Marketing Analytics Course
Spencer Halford, Stukent

11:30am-12:20pm

Track Sessions

Track 13: Marketing Analytics

Grand Ballroom I/II
Using Purchase Intelligence to Target & Measure Ad Campaigns
Warren Hearnes, Cardlytics

Track 14: Analytics on Unstructured Data

Grand Ballroom III/IV
Unstructured Data Analysis for Classification & Anomaly Detection
Stuart Price, Elder Research

Track 15: Analytics Leadership

Grand Ballroom VII/VIII
How We Built an Enterprise Analytics Function (Almost) Overnight
Polly Mitchell-Guthrie, UNC Healthcare System

Track 16: Emerging Analytics

Grand Ballroom IX/X
Using Advanced Analytics in Healthcare to Predict Sepsis Risk & Patient Outcome
Muge Capan

Track 17: Analytics in Public Sector

Dover
Analytics for Public Good: How to Get Legislators to Understand (and Act On!) Your Policy Analysis
Arne W. Owens, United States Senate

Track 18: INFORMS Prizes & Special Sessions

Essex AB
IAAA Finalists
SAFE (Situational Awareness for Events): A Data Visualization System
Northwestern Univ.

Chassis Leasing and Selection Policy for Port Operations
Schneider

Track 19: Supply Chain & Logistics

Essex C
Findings from Modeling & Analyzing Nonprofit Org. Emergency Food & Community Social Service Operations
Mary E. Helander, IBM TJ Watson Research Center

Track 20: Analytics Process

Kent AB
Toward Strategic “Jingle” Success: An Interplay of Business & Music Analytics
Joseph Dery, Bentley Univ.

Track 21: Prescriptive Analytics

Kent C
Economic Decision Making for Sustainable Manufacturing
Douglas Thomas, National Institute of Standards and Technology

Track 22: Technology Tutorials

Laurel AB
Keep it Simple: Getting Analytics Results with Less Cost, Time & Risk
Frontline Systems, Inc.

Track 23: Technology Tutorials

Laurel CD
Simulation & Scheduling Software All in One!
Renee Thiesing and Katie Prochaska, Simio Simulation & Scheduling Software

12:30pm-1:45pmLunch & AwardsHarborside Ballroom ABC
1:50pm-2:40pm

Track Sessions

Track 13: Marketing Analytics

Grand Ballroom I/II
Measuring Brand Favorability using Large-scale Social Media Data
Wendy Moe, Univ. of Maryland

Track 14: Analytics on Unstructured Data

Grand Ballroom III/IV
Appl. of Robust Principal Component Analysis for Dimension Reduction and Anomaly Detection
Randy Paffenroth, Worchester Polytechnic Institute

Track 15: Analytics Leadership

Grand Ballroom VII/VIII
The History & Current State of Analytics Education
Terry Harrison, Penn State and Missie Bowers, Univ. of Tennessee-Knoxville

Track 16: Emerging Analytics

Grand Ballroom IX/X
Building a Digital Thread with Machine Learning & IoT Analytics in Complex Manufacturing Environ.
Michael Schultenfrei, Optimal+

Track 17: Analytics in Public Sector

Dover
Appl. of Maryland Open Data Portal
Mike Morello, Maryland Governor’s Office of Performance Improvement

Track 18: INFORMS Prizes & Special Sessions

Essex AB
Panel: Adv. Women’s Excellence in Data & Analytics Fields
Moderator: Noha Tohamy, Gartner
Panelists: Polly Mitchell-Guthrie, UNC Healthcare System; Mei Zhang, American Airlines; Nancy Pyron, Rina Schneur

Track 19: Supply Chain & Logistics

Essex C
Simulation Modeling for Reliable Biomass Supply Chain Design Under Oper. Disruptions
Bhavna Sharma, Oak Ridge National Lab

Track 20: Analytics Process

Kent AB
Bringing Competition to the Analytics Classroom: Getting Started
Cody Baldwin, Brigham Young University-Hawaii

Track 21: Prescriptive Analytics

Kent C
The Challenges of Optim. in a Start-up
Simon Lee, Homer Logistics

Track 22: Technology Tutorials

Laurel AB
Is Dash Boarding Enough? Exploration is the Future of Big Data and Bus. Intel.
James Harroun, SAS Education Practice

Track 23: Technology Tutorials

Laurel CD
Enhanced Model Deployment & Solution in GAMS
Steve Dirkse, GAMS Development

2:45pm-3:35pmPoster Session and Refreshment Break with ExhibitsGrand Ballroom Foyer & Grand Ballroom V & VI
3:40pm-4:30pmKeynote: Reprise of 2018 Edelman Award WinnerHarborside Ballroom ABC
4:40pm-5:30pm

Track Sessions

Track 13: Marketing Analytics

Grand Ballroom I/II
Beyond Beer Preferences: New Data Sourcing for Targeting
Luke Thompson, Applecart

Track 14: Analytics on Unstructured Data

Grand Ballroom III/IV
Assembling Struct. & Unstruct. Data to Adv. Next Generation Analytics in Agriculture
Bill Danker, Syngenta

Track 15: Analytics Leadership

Grand Ballroom VII/VIII
L3adersh1p: Influencing the D&A Community
Cenk Tunasar, KPMG

Track 16: Emerging Analytics

Grand Ballroom IX/X
The Future of Data Analytics: Coupling AI with Immersive Environ.
Ciro Donalek & Justin Gantenberg, Virtualitics

Track 17: Analytics in Public Sector

Dover
TBD

Track 18: INFORMS Prizes & Special Sessions

Essex AB
George D. Smith Prize Reprise, 2018 Winner

Track 19: Supply Chain & Logistics

Essex C
Application of Data Science in Corporate Real Estate & Workplace Design
Christopher Jerde, Gensler

Track 20: Analytics Process

Kent AB
Predictive Model to Proliferate Spend Propensity Among Freemium Mobile Gamers
Sridhar Vaithianathan, Institute of Management Technology-Hyderabad

Track 21: Prescriptive Analytics

Kent C
What do Credit Scores, Blockchains, & Vehicle Nav. Systems Have in Common? Profiting from Optim. with Imperfect Data
Jim Bander, Toyota Financial Services

Track 22: Technology Tutorials

Laurel AB
Predictive Model Prototyping with the R caret Package
Matthew A. Lanham, Purdue Univ.

Track 23: Technology Tutorials

Laurel CD
Retail-as-a-Service from JD.COM
JD.COM