## Slides contains the slides of the workshop in `.pdf` and a list of full references cited on slides. * **01_ReplicationCrisis**: Do we have a replication crisis? What about linguistics? Reasons for it and a road map for the workshop. * **02_Stats101**: What is inferential statistics? What is null hypothesis significance testing? What does a *p*-value mean? Type-I, Type-II, Type-S, Type-M errors, power, *p*-hacking, HARKing, researcher degrees of freedom and more. * **03_Preregistration**: What is publication bias? What is preregistration and what are Registered Reports? How can they make science more credible? What is in it for us? * **04_Reproducibility**: What is reproducibility? Why should we share data and code? Are there reasons not to? Where and when should we share? How do we share? Projects on OSF; RStudio projects linked to GitHub and more. * **05_Incentives**: What behavior is being rewarded in science? What are the consequences? How can we change it? * **06_TowardsARevolution**: Is a revolution of scientific practices on its way? Do we share more openly? Do we preregister more? Outlook to a brighter future.