Go wide or go deep? Data and models in clean technology
When faced with a question about agriculture, water, energy, air or another clean technology system, how do you decide to model it? Do you dive down deep into the subject matter and try and figure out what would work? Or do you go wide, look at the interactions between different systems and see how different types of data and models can be combined? Or do you do a mix of both?