Cultural Analytics Open Science Guide

Authors

Federico Pianzola (editor)

Paschalis Agapitos (editor)

Introduction

This is a textbook to learn how to analyze cultural phenomena using computational methods.

It follows the principles of Open Science to teach you how to conduct research that is ethical, methodologically solid, and accessible. Topics covered include:

theory development
data management
data collection
data analysis
data visualization.

We believe that none of these aspects should be disregarded in a cultural analytics project that aims at being truly Open.

The programming language used is Python. There are discursive sections and interactive Jupyter Notebooks to let you learn-by-doing.

Inspiration for this guide come from the following sources:

The Turing Way handbook to reproducible, ethical and collaborative data science, initiated by The Alan Turing Institute
Introduction to Cultural Analytics & Python by Melanie Walsh

This is a Quarto book created from markdown and executable code.

To learn more about Quarto books visit https://quarto.org/docs/books.