Causality is very much an open science topic (discussion of a potential meta-tool to navigate causal assessment)
Theories are built on presumed causal relations, but these are often established on the basis of associational research. This is because explicit causality is avoided outside of experiments. Using associations as proxies for causal effects makes intransparent assumptions that no one would endorse if they were explicit. Recent tools make explicit causal analysis more attractive and invite debate about its assumptions. The aim of this unconference is to bring together such tools and to generate ideas on how to make adressing causality more common and convenient in psychological research. A very rough framework of a meta-tool can be discussed that navigates not only through existing tools, but also through preceding qualitative decisions such as: Is a causal study needed? What are the arguments for and against a causal effect? How could the existence or non-existence of an effect have turned out to be wrong?