Illustrative Projects
I love and the culture of collaborative, reproducible and open research that this programming ecosystem promotes.
The projects below include: R code I wrote for analyzing, modelling and visualizing data; workshop materials I have created/presented; and other content (not necessarily related to my core research area).
2024
Text analytics project applied to World Bank corpus of Projects’ documents (FY 2001 - 2023)
(WORK IN PROGRESS…)
This is an ongoing project I started to learn some NLP (Natural Language Processing) techniques to answer a question that I find extremely interesting and compelling: What is the impact of slogans and catchphrases on policy decisions? These are heavily used in the policy debate and strategic planning and I am curious to explore patterns of their occurrence using project documents as input data.
Position paper on city government “Idee per Pavia” (April 2024)
Project website | Source Code | (in Italian 🇮🇹)
This is webpage I created to disseminate a position paper that I co-authored with the members of the Catholic Social Action Office of the Diocese of Pavia (my hometown in Italy). The report is meant as a tool to promote open and constructive dialogue on several urban planning issues and proposals in view of the upcoming municipal elections of June 2024.
2023
“Nerd help” collection of programming tutorials (2023)
(WORK IN PROGRESS…)
I am a self-taught programmer (R, git, Quarto, css, etc.), so I put together this collection of notes on how to go about some tasks as I figured them out. While intended for personal use, I am glad if these tutorials can be of help for others.
2022
Exploratory Analysis of EU funds (ERDF, 2014-2020 cycle) spending (November 2022)
This is a quick exploration of some EU structural funds aimed at verifying how much Italy has been able to disburse (given amounts planned and deemed eligible) for the 2014-2020 funding cycle. Specifically data were taken from the ESIF 2014-2020 Finance Implementation Details (99js-gm52) dataset, then drilled down to programs under the ERDF (European Regional Development Fund). This was also an opportunity to learn some interective datavisualization tools in R (e.g. reactable).
[R notes]: Cluster analysis (October 2022)
Here is a tutorial I wrote as I was learning how to implement cluster analysis in R.