Open Science Workshop

This workshop will provide an overview of the principles and practices of Open Science (OS), such as open data, open code, open materials, and preregistration/registered reports. These OS practices can help to prevent questionable research practices such as HARKing (i.e., formulating the hypotheses after the results are known) and p-hacking (i.e., analyzing data in way that produces statistically significant results when there is no effect or association), which have contributed to the replication crisis and publication bias in psychology and many other scientific disciplines. In this workshop, I will introduce specific Open Science tools (e.g., osf.io, as.predicted.com), demonstrate how to implement OS practices with these tools, and provide recommendations on how to efficiently integrate them into participants’ research workflow.

Download the program here.