Data Science | Philip Solimine

Data Science

ECON 526 MA Quantitative Economics (UBC)

Course

ECON 526 MA Quantitative Economics (UBC)

2023

Quantitative economics Applied economics Data science Python

ECON 323 Quantitative Economic Modeling and Data Science (UBC)

Course

ECON 323 Quantitative Economic Modeling and Data Science (UBC)

2022

Quantitative economics Applied economics Data science Python

Publication

Network controllability metrics for corruption research

Philip Solimine

In Granados, O.M., Nicolás-Carlock, J.R. (eds) Corruption Networks. Understanding Complex Systems. pp. 29-50. Springer · 2021

Link to book chapter

Network corruption Social learning Optimal control Data science Networks Cybernetics

Publication

Political corruption and the congestion of controllability in social networks

Philip Solimine

In Applied Network Science. Vol 5, pp. 23. Springer · 2020

Link to journal article Journal article (PDF)

Network corruption Social learning Optimal control Data science Networks Cybernetics

Project

Analyzing economic networks

2016

A notebook to introduce students to the field of graph and network analysis, and teach them how to work with networks in python

Networks Data science