Climate change modeling in policy context assumes a planet and a world with a rather stable ontology, a system that is more or less fixed. Modeling here follows logics of if/then (Bucher 2018): “if this” (policy/behavior), “then that” (temperature increase/decrease). However, climate change is not simply the object of a straightforward process of measuring and modeling. Rather, looking at climate science, the notion of a changing climate is constituted by models that contain a host of proxies, speculations, and conjectures. The suggestion of an objective system abiding by logics of “if/then” dissipates in much more experimental and speculative dynamics in the gist of “what if”: what if conditions are as such and such, what if there is a relation, what if weights are such and such. The logic of “if/then” and the gist of “what if” are at tension. The question is: How does this tension unfold when modeling technologies and knowledge “travel” from the context of climate science to the context of policy and, further on, to situated contexts of practice? To start unpacking and addressing this huge question, this presentation will focus on three select models: General Circulation Models, Integrated Assessment Models, and the interfaces of apps deployed in smart farming.