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* = applied session       ! = JSM meeting theme

Activity Details


86 * !
Mon, 8/9/2021, 10:00 AM - 11:50 AM Virtual
ID-Less Future of Display Advertising Measurement (CANCELLED) — Topic-Contributed Panel
Section on Statistics in Marketing, Business and Economic Statistics Section, Section on Bayesian Statistical Science
 
 

220779
Mon, 8/9/2021, 6:00 PM - 7:30 PM
Section on Statistics in Marketing Executive Committee Meeting (Closed) — Other Cmte/Business
Section on Statistics in Marketing
Organizer(s): Julia Bienias, Nielsen
 
 

186 * !
Tue, 8/10/2021, 1:30 PM - 3:20 PM Virtual
Advances in Choice Modeling — Invited Papers
Section on Statistics in Marketing
Organizer(s): Jeremy Christman, P&G
Chair(s): Jeremy Christman, P&G
1:35 PM Willingness to Pay (WTP) in Discrete Choice Experiments: Simulation Approaches Considering Competition
Bryan Keith Orme, Sawtooth Software
2:00 PM Randomization and Ensembling Strategies for Accommodating Data Pathologies in Conjoint Studies
Jeffrey P Dotson, Brigham Young University
2:25 PM Willingness-to-Pay Profiles: A Model-Based Approach to Identify Heterogeneous Demand and Craft a Portfolio Strategy
Jake Lee, Red Analytics, Inc
2:50 PM Power Analysis for Choice-Based Conjoint Studies
John R. Howell, Brigham Young University
3:15 PM Floor Discussion
 
 

317 * !
Wed, 8/11/2021, 3:30 PM - 5:20 PM Virtual
Practical Challenges to Achieving Algorithmic Fairness in Industry (And What to Do About Them) — Topic-Contributed Panel
Section on Statistics in Marketing, Committee on Professional Ethics, Justice Equity Diversity and Inclusion Outreach Group
Organizer(s): Sarah Cox, PS AI Labs
Chair(s): Sarah Cox, PS AI Labs
3:35 PM Practical Challenges to Achieving Algorithmic Fairness in Industry (And What to Do About Them)
Panelists: Jazmia Henry, Stanford University / Motley Fool
Samsara Counts, Amazon
Kalinda Ukanwa, Marshall School of Business, University of Southern California
5:10 PM Floor Discussion
 
 

220778
Wed, 8/11/2021, 6:00 PM - 7:30 PM
Section on Statistics in Marketing Business Meeting — Other Cmte/Business
Section on Statistics in Marketing
Organizer(s): Julia Bienias, Nielsen
 
 

410
Thu, 8/12/2021, 2:00 PM - 3:50 PM Virtual
Marketing Section Student Paper Awards — Topic-Contributed Papers
Section on Statistics in Marketing
Organizer(s): Jeremy Christman, P&G
Chair(s): Lan Luo, University of Southern California-Marshall School of Business
2:05 PM Monetizing User-Generated Content: Design and Incentive
Ziwei Cong, HKUST; Jia Liu, HKUST; Ying Zhao, HKUST
2:25 PM Look the Part? The Role of Profile Pictures in Online Labor Markets
Isamar Troncoso, University of Southern California; Lan Luo, University of Southern California-Marshall School of Business
2:45 PM Targeting for Long-Term Outcomes
Jeremy Yang, MIT
3:05 PM Modeling Viewer and Influencer Behavior on Streaming Platforms
Prashant Rajaram, University of Michigan
3:25 PM Choice Frictions in Large Assortments
Olivia Natan, University of Chicago Booth School of Business
3:45 PM Floor Discussion
 
 

439
Thu, 8/12/2021, 4:00 PM - 5:50 PM Virtual
Topics in Marketing — Contributed Speed
Section on Statistics in Marketing, Text Analysis Interest Group
Chair(s): Liu Liu, University of Colorado Boulder - Leeds School of Business
4:05 PM Capturing Heterogeneity Among Consumers with Multi-Taste Preferences
Liu Liu, University of Colorado Boulder - Leeds School of Business; Daria Dzyabura, New Economics School
4:10 PM CATA Data: Are There Differences in Perception? Presentation
Fabien Llobell, Addinsoft, XLSTAT; Davide Giacalone, University of Southern Denmark; Sara R. Jaeger, The New Zealand Institute for Plant & Food Research Limited; El Mostafa Qannari, StatSC, ONIRIS, INRAE, Nantes, France.
4:15 PM Data Visualization for Exploratory Factor Analysis
Nivedita Bhaktha, GESIS
4:20 PM Data Storytelling for Empowering Your Customers and Members
John VanderPloeg, Chicago Chapter of ASA; John Lee, Chicago Chapter of ASA
4:25 PM Relaxing Functional Form in Choice Models Through Gaussian Processes
Samuel I Levy, Carnegie Mellon University; Richard Mirman, Dynamic Loyalty Systems Inc.; Alan Montgomery, Carnegie Mellon University
4:30 PM Bayesian Modeling of Marketing Attribution
Ritwik Sinha, Adobe Research; David Arbour, Adobe Research; Aahlad Manas Puli, New York University
4:35 PM Modeling Time-to-Event Marketing Data: Accelerated Failure Time Model with Cure Fraction
Han Wu, Amazon; Vanja Dukic, Amazon
4:40 PM How Has COVID-19 Impacted Customer Relationship Dynamics at Food Delivery Businesses?
Daniel Minh McCarthy, Emory University; Elliot Shin Oblander, Columbia University
4:45 PM Testing New Versions of the Wage Phillips Curve in the MeMo-It Model Used by Istat
Deborah Scaccabarozzi, University of Bergamo; Daniele Toninelli, University of Bergamo; Davide Zurlo, Istat; Fabio Bacchini, Istat; Roberto Iannaccone, Istat
4:50 PM A Representative Sampling Method for Causal Inference in Social Network Experiments
Yanyan Li, University of Southern California; Qing Liu, University of Wisconsin-Madison; Sha Yang, University of Southern California
5:00 PM Shocks, Bubbles, and Crashes in Cryptocurrency Market
Min Shu, University of Wisconsin Stout; Ruiqiang Song, Michigan Technological University
5:05 PM Causal Inference and Machine Learning Techniques for Outbound Calls Strategy
Victor S.Y. Lo, Fidelity Investments; Zhuang Li, Fidelity Investments
5:10 PM Modeling Corporate Culture
Willi Cipolli, Colgate University
5:15 PM The Stories They Tell: My Interactions with the Business and How Storytelling Creates Leaders
Ben Barnard, Wells Fargo
5:20 PM Diagnosis of Bubbles and Crashes in Cryptocurrency Market Based on the Generalized Metcalfe’s Law and the Log-Periodic Power Law Singularity Model
Min Shu, University of Wisconsin Stout; Ruiqiang Song, Michigan Technological University
5:25 PM Modeling Tourists' Length of Overnight Stay in Pokhara, Nepal: Zero-Truncated Negative Binomial and Ordinary Least Square Regression Approach Presentation
Nirajan Bam, University of Northern Colorado, Greeley, USA
5:30 PM Model Selection to Forecast the Trend of COVID-19 for the Counties Near Houston, Texas Presentation
YOONSUNG JUNG, Prairie View A&M University
5:35 PM Causal Mediation Analysis with Three Mediators Where Causally Independent and Dependent Mediators Coexist
Youngho Bae, Sungkyunkwan University; Chanmin Kim, Sungkyunkwan University
5:40 PM AN UNBIASED REGRESSION TYPE ESTIMATOR OF PROPORTION IN RANDOMIZED RESPONSE SAMPLING BY USING ANOVA MECHANISM
Daryan Naatjes, Texas A&M University-Kingsville; Stephen A. Sedory, Texas A&M University-Kingsville; Sarjinder Singh, Texas A&M University -Kingsville
5:45 PM Floor Discussion