# Applications of the Research and Analysis Framework The [[Framework for analysis and decision-making]] should apply to anything where you have some evidence, information or data, want to understand how it relates through cause and effect, and what that data predicts about the unknown, and have a decision to make about it. The most obvious of these are: - Scientific Research - Data Science - Investment Research - (Investigative) Journalism - Intelligence Analysis - Geopolitical Analysis There are books addressing this topic in the different fields which are mutually informative and focus on different aspect of the analysis process. Some books/fields focus more on the psychological aspects of analyzing information: In the case of investing it could be about the influence from the broader market in shaping your analysis but the same thing applies in intelligence analysis too. Here they mention the propensity to look at things through a lens that has been shaped by society. Something that is often discussed in the intelligence community but not at all really in investing is the reliability of the information being displayed and the likelihood of deception. The ability to ask the right questions, effectively honing in on what does and doesn't matter is an important part of the process. Gathering and organizing information, including note-taking, are important prerequisites for getting started on research. Small pieces of insight and information can be brought together in bits to eventually form "the model" of the system you are looking at. But this takes time, so tracking incremental insight and progress is important. The process of coming up with understanding of cause and effect, or modeling, is described through books such as [[The Logical Thinking Process]].