# Tools for Research and Analysis This note outlines some of my thoughts around tools and applications for the [[Framework for analysis and decision-making]]. ## What did we use in the past? In the past 2 decades the primary tools for modelling would have either computer simulations built in a variety of programming languages, simulation tools like netlogo, or spreadsheet software. But ideally we would like to use data from spreadsheets or even start or analysis there, and move on to using custom code, or maybe running through a simulation package. After we have done this we want to communicate the results. ## What are the new tools today? Some combination of excel/coding and word/latex would have been used in the past but in recent years there has been a proliferation of tools to tackle an improved research and analysis process. In Modelling: - Koho - Google sheets - Other sheet software - [Gridstudio](https://github.com/ricklamers/gridstudio?ref=hackernoon.com) In Writing/Communicating: - Dropbox Paper - Roam - Obisidian - OneNote - Notion - Evernote - Word - LibreOffice - Powerpoint Some tools are trying to integrate these tools vertically and horizontally: - [Grid.is](grid.is) - JupyterLab - RStudio - Spyder ## What would the ideal tool look like to me? Is it possible to create an integrated research and analysis environment for different domains?