Preregistration is a fairly new practice, which means that we are in the process of discovering exactly what it means and what it is for. Nobody knows how to do this right yet! Good article, bad headline: https://www.sciencemag.org/news/2019/05/solution-psychology-s-reproducibility-problem-just-failed-its-first-test - Is preregistration not working for you because you haven't found the right template/format/tool? - Is it not working for you because nobody has built a tool for your situation yet? - Is it not working for you because preregistering doesn't make sense for your type of research? *Any* of these could be true! This hackathon aims to explore and collect together existing resources for 'unusual' types of research. Possible products could include making a flow chart/fact sheet/etc. for finding a preregistration that works for you, or identifying a type of research that really doesn't have a preregistration solution yet, and starting one! Some possible prompts and resources to get started: - "Sound inference in complicated designs" by Sanjay Srivastava (pdf) - Preregistrations in grad school What is a thesis proposal if it isn't a (really long) preregistration? - Longitudinal research A start: See "challenges" section here: https://www.pnas.org/content/115/11/2600 - Research on existing datasets https://psyarxiv.com/ph4q7/ https://psyarxiv.com/ysgfa/ - Exploratory research The 'null/anti-preregistration' (no cite, just something Melissa thinks about from time to time). If your research is *not* about testing a specific hypothesis, you may encounter reviewers who really want to push you into presenting your work as though it does. You can preregister a plan (e.g. for how you'll decide how to collect data, or what analytic framework you intend to use), and state that you plan to interpret and form hypotheses or interpretation *that are based on the data you collect*.