This repository hosts the final project (Final_Project_Work_GroupM) for the Quantitative Methods in Economics exam, instructed by Professor Cinzia Daraio, as part of the Master’s degree in Data Science at Sapienza University of Rome. The project demonstrates our group's collective efforts and key findings.
The exam in Quantitative Models for Economics consisted of two assignments and a final project, detailed here.
In the final project we were asked to re-do the case study on ITOR publications described in Section 4 of the paper Int Trans Operational Res - 2023 - Avenali - Systematic reviews as a metaknowledge tool caveats and a review of available by using the tools of Systematic Reviews that we saw in class.
For this project, we first conducted a traditional "manual" Systematic Review of the literature. We then enhanced our analysis by integrating Artificial Intelligence tools that were introduced during the course. The objective was to compare and contrast the outcomes derived from manual methods with those generated through AI-driven approaches.
The results of our comparative study are documented in the final section of our paper, which is available in this repository.
For some of our visualizations, we used a library within R called biblioshiny, which is part of the bibliometrix package. Detailed setup instructions are provided in the bibliometrix.R file available in this repository.
To use biblioshiny for interactive graphing, you can launch it by executing biblioshiny() in R after installing the required packages outlined in the provided code.
Additionally, the .R file includes scripts for conducting preliminary analyses on abstracts sourced from Scopus and Web of Science, which are also available in this repository.
All the .csv and .bib files included in this repository contain the abstracts from Scopus and Web of Science, essential for generating the majority of the graphs presented in the project, as well as for conducting the preliminary analyses using R.
This project (plus the homeworks) received a perfect score of 30 out of 30 on the final exam. Feel free to use it as a reference if you are planning to take the exam in the upcoming years.
Please do not hesitate to contact me if you need further explanations or encounter any issues with the materials.