The Reproducibility Project: Cancer Biology, a collaboration between Science Exchange and the Center for Open Science, is independently replicating 50 high-impact cancer biology studies published between 2010-2012 using the Science Exchange network of expert scientific labs. Our participants will bet on which studies will be successfully replicated.
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| Anna Dreber | Information |
The Research Excellence Framework (REF) in the UK is a new system for assessing UK research. We will have participants bet on the outcome of the REF before the outcome is known, for two different types of departments.
See Market details for an extensive summary of the project.
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| Adam Altmejd | Participation |
| Emma Heikensten | Participation |
| Marcus Munafo | Information |
As the first open science replication market, this market is based on the Open Science Reproducibility Project. We are running a similar market on another 20+ studies. This market is open for trading Oct-Nov 2014.
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| Siri Isaksson | Participation / Information |
This market is based on the Many Labs 2 project, in which about 45 different groups each replicate about 30 different studies. Here participants in our market bet on the outcome of these large-scale replications. The market was open for trading Sept-Oct 2014.
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| Eskil Forsell | Information |
Complex diseases, including depressions, are often triggered by a combination of genetic and non-genetic risk factors. 5-HTTLPR is a candidate region in the human genome that codes for a serotonin transporter and might be associated with depression. However, early findings (Caspi et al, 2003) that support such an association remain controversial. A meta-study is therefore undertaken to synthesize all relevant information on 5-HTTLPR. The prediction market is used to forecast the results of the meta-analysis.
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| Anna Dreber | Information |
This market is based on the Open Science Reproducibility Project. A group of researchers from psychology and related areas is replicating a number of studies from major psychology journals - motivated by the need to assess the extent at which practice and incentives in research lead to biases within published evidence. We organized a prediction market to predict which of the studies can be replicated and which cannot. The market was open for trading in Nov 2013.
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| Anna Dreber | Information |