Research Reproducibility
Introduction
You are invited to participate in a prediction market related to research in Marketing, 12 Apr 2023
INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: Dialog
Author: Anthony Mark Kwasnica
Hello Marketing Researcher,
We are recruiting active researchers in Marketing to evaluate the reproducibility of published research in your field.
What will you do? You will participate in prediction markets to evaluate reproducibility of four specific published claims in your area of expertise. Prediction markets are like stock markets; in our case, the value of an asset is a replication study outcome (i.e., the published finding was (or was not) confirmed when the study was repeated). This approach is similar to prior replication markets (like this one) but with the addition of trained algorithmic agents (trader bots) into the market. The outcomes of these experiments will be used to study human-AI collaboration as an opportunity for creative peer review.
When will you do it? Prediction markets related to research in Marketing will take place on 12th April from 8:00am – 8:00pm EDT. During the 12 hours that the markets are open, you can log in and make trades at any point (or multiple points). Everything is virtual, and you can participate from anywhere.
What will you get? You will receive a minimum of $40 for your active participation. In addition, you will be given $100 to invest ($25 for each market). The money from one randomly selected market will be yours to keep. Payment will be made to you via PayPal.
If you are willing and able participate, please let us know here.
If you know of other researchers who might be interested, please do pass this along! We welcome all active researchers in social and behavioral sciences holding or currently pursuing a PhD.
Finally, please do not hesitate to reach out if you have questions or we can provide additional information.
With regards,
Penn State SCORE team
Sarah Rajtmajer (Assistant Professor, College of Information Sciences and Technology, Penn State)
Anthony Kwasnica (Professor, Smeal College of Business, Penn State)
Dave Pennock (Professor, Department of Computer Science, Rutgers)
Lee Giles (Professor, College of Information Sciences and Technology, Penn State)