Academic research: the difficulty of being simple and beautiful

Abstract

In this essay, we share our experience and learning about the value of, and the difficulty associated with, conducting and presenting scientific studies in ways that are both simple (understandable) and beautiful (appealing to the reader). We describe some "aha moments" of insight that led to changes in the way we approach and present research, some of the actions we took, and lessons we learned.

The bayesvl R package. User guide v0.8.1

“…for Social Data Lab (AISDL), we also focus on improving our research process and aim to solve the problems posed by frequentist statistics, such as the plausibility of results, the reproducibility crisis, and the controversy related to interpreting the "p-value" [5,6] . Moreover, it comes to our attention that the ability of R to generate graphics, coupled with simulated data using Markov Chain Monte Carlo (MCMC) method, whether on Stan or JAGS, can make a powerful tool in diagnosing and presenting research results [7] .…”

The bayesvl R package. Hướng dẫn sử dụng v0.8

“…Bên cạnh đó, chúng tôi cũng nhận thấy sự kết hợp hiệu quả giữa các mẫu dữ liệu mô phỏng MCMC dù trên Stan hay JAGS với năng lực đồ họa phong phú trên R với rất nhiều các thư viện mở trên CRAN. Đồ họa và khả năng biểu đạt hình ảnh hiệu quả là phương tiện truyền tải kết quả nghiên cứu rất quan trọng [7] .…”