Event Registration
| Ticket Type | Price | |
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| Researchers Explain How They Developed an Algorithm to Predict Post-COVID Arts Ticket Sales (February 8, 2022 at 1 pm EST) | Free | |
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Event Details
When the COVID-19 virus began spreading across the U.S., researchers at SMU DataArts responded by integrating datasets and building a framework for predicting ticket purchasing demand. Continually refined for over a year, this framework takes into account ticketing purchases, census data, COVID cases, vaccine rates, restaurant employment, and arts ticket prices to help organizations across the nation predict demand for in-person ticket purchases. Join our leading researchers for a behind-the-scenes look at how the model was developed and how early actual results compare with predictions. Participants will also receive a first look at a new tool that will allow cohort groups of organizations to submit their data for analysis within the model.
Presenters: Karthik Kannan, Glenn Voss
Host: Michelle Higgins is the Manager of Strategic Engagement at SMU DataArts
About our researchers:
Glenn B. Voss, Ph.D., is the Marilyn and Leo Corrigan Endowed Professor of Marketing in the Cox School of Business at Southern Methodist University (SMU) and research director for the SMU National Center for Arts Research. His research – focusing on innovation and organizational learning, customer satisfaction and relationship management, and retail pricing strategies – has appeared in leading academic journals in marketing (e.g., Journal of Marketing, Journal of Marketing Research) and management (e.g., Academy of Management Journal, Organization Science).
Karthik Babu Nattamai Kannan, Ph.D., is an assistant professor teaching Database Design for Business and Advanced Management Decision Analysis at the Cox School of Business of Southern Methodist University. His research examines economics of digitization, economics of internet and media consumption, big data location analytics, and e-commerce.
This webinar is listed in Eastern Standard Time. Closed captioning will be available during the presentation.
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