Presentation Title

A Markov Decision Process Approach to Adaptive Contact Strategies

Location

Room 1909

Session Format

Paper Presentation

Research Area Topic:

Computer Science - Computational Sciences

Abstract

In the field of survey methodology, optimizing contact strategies helps organizations increase response rates using their allocated budget. Markov Decision Processes (MDP) are widely used to model decision-making strategies in situations where the outcomes have a random component. In this research, we use MDPs and adaptive sampling techniques to construct a strategy that, based on target audience characteristics, suggests the best contact policy. The data we use comes from the First Destination Survey conducted by the Office of Career Services at Georgia Southern University. The constructed model is quite flexible and can be used by other organizations to optimize their contact strategies.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Presentation Type and Release Option

Presentation (Open Access)

Start Date

4-14-2017 9:00 AM

End Date

4-14-2017 10:00 AM

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Apr 14th, 9:00 AM Apr 14th, 10:00 AM

A Markov Decision Process Approach to Adaptive Contact Strategies

Room 1909

In the field of survey methodology, optimizing contact strategies helps organizations increase response rates using their allocated budget. Markov Decision Processes (MDP) are widely used to model decision-making strategies in situations where the outcomes have a random component. In this research, we use MDPs and adaptive sampling techniques to construct a strategy that, based on target audience characteristics, suggests the best contact policy. The data we use comes from the First Destination Survey conducted by the Office of Career Services at Georgia Southern University. The constructed model is quite flexible and can be used by other organizations to optimize their contact strategies.