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 toÌýevaluate the reproducibility of published research in your field.
What will you do?ÌýYou will participate in prediction marketsÌýto 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 () 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?ÌýPrediction markets related to research in Marketing will take place onÌý12thÌýAprilÌýfrom 8:00am – 8:00pm EDT.ÌýDuring the 12 hours that the markets are open, you can log in and make trades at any point (or multiple points).Ìý Everything is virtual, and you can participate from anywhere.
What will you get?ÌýYou will receiveÌýa minimum ofÌý$40Ìýfor your active participation.ÌýIn addition, you will be givenÌý$100 to invest ($25 for each market).ÌýThe money from one randomly selected market will be yours to keep. Payment will be made to you via PayPal.Ìý
If you are willing and able participate, pleaseÌý.
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 RajtmajerÌý(Assistant Professor, College of Information Sciences and Technology, Penn State)
Anthony Kwasnica (Professor, Smeal College of Business, Penn State)
Dave PennockÌý(Professor, Department of Computer Science, Rutgers)
Lee GilesÌý(Professor, College of Information Sciences and Technology, Penn State)