Target audience and prerequisite knowledge
This tutorial targets people from government, academia, civil society organizations, and enterprises working on government oversight and monitoring at any level that are familiar with programming and have access to an online version of a government gazette. The prerequisite knowledge is the Python programming language. Prior knowledge that may be helpful (but not required) are Jupyter notebooks; Python packages sklearn, pandas, and TensorFlow; and machine learning.
Importance for the ICEDEG community
This tutorial is based on a successful experience in Brazil since 2020. The use of Machine Learning (ML) and Artificial Intelligence (AI) for monitoring the federal government gazette has enabled an efficient and quick government oversight tool used in Government-to-Government and Government-to- Citizen contexts: an open daily bulletin with the gazettes’ most relevant acts. The bulletin has been used by over 1,200 people from the government, academia, civil society, and private sectors. The system is relatively simple and can be applied to many countries and at government levels.
Henrique S. Xavier is a Physicist with 10+ years of experience in programming, mathematical modeling, statistics, and data analysis. Besides academic involvement in three different universities worldwide, I have also worked in the private, government, and third sectors as a data scientist/analyst, teacher, and freelancer in data analysis of non-physics topics for news organizations.