Writing makes you think - what do you want to communicate, what point are you trying to make, who are you communicating with? The act of writing hones mastery, and we believe in communicating information that is clear, concise and readable. We provide all of our articles and papers for free, and we aim to provide a distraction-free environment to learn. While there is an abundance of information in textbooks, on the internet and in scientific journals, it can be overwhelming to read complex, complicated documents that are more about the writer's ego than the reader, or navigate websites that are covered with ads and distracting gimmicks. We hope you find our articles fun and easy to read, but most importantly, enlightening.
There is relatively broad range of topics in the articles below, ranging from business analysis to international relations to academic computer science papers, but all have a common theme; using analytical thinking to understand and improve the world around us. Feel free to read any of the papers, ask questions and let us know if you have any comments or suggestions.
'R' is a statistical programming language used by many (if not most) data scientists. Learning to interact with 'R' is an essential skill for data science, although if you have never programmed before, the learning curve can be steep. All of these articles treat learning 'R' in a fun and approachable way.Correlates of War - 1 BioStats with R - 1
Statistics is the mathematial foundation for data science - it underlies the entire process, from data collection to accuracy assessment data visualization. These papers approach statistics in an applicable way, focusing on how statistical methodology can be applied to real-world problems in helpful ways.Coming soon
You're probably heard the buzz around these terms - with the computational power available today, anyone has the ability to quickly and effectively use statistics and machine learning principles to predict and better understand the information that is available. We approach this subject with an enthusiasm of the potential to put them to good use, but they are not magic, and they can only be used effectively on a strong foundation. These papers seek to provide strong insight into the process of building these models, while avoiding sensationalism and over-promises.Coming soon
We're passionate about using the tools at our disposal to improve the global environment. After several years working on complex, cross-cultural issues in the military, we've found that the same type of analytical thinking in data and computer science can be applied to international affairs, which along with the discipline of history, has traditionally been driven by instinct and cherry-picked information. We approach the subject by finding accurate data and sound reasoning to improve decision-making within global affairs.Coming soon