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Digital Demography (Population Data and Science)

European Doctoral School of Demography 2022 February 21-25 2022

In this repo you will find all the materials needed to complete this week's course, including the syllabus, readings, and the data and instructions for the final assignment.

Course description

Rapid increases in computational power and the growing access to the internet, social media and mobile phones use have radically changed our lives, the way we interact with each other and our behavior, including demographic choices. The digitalization of our lives has also led to the so-called “data revolution” that is transforming social sciences. In this course, participants will learn how traditional methods used in social sciences can help us make sense of new data sources, and how these new data sources may require new conceptual and methodological approaches.

Goals

We will discuss a number of substantive topics related to the emergence of (big) data-driven discovery in the social sciences, with emphasis on population processes. By the end of the course, students will be familiar with relevant literature at the intersection of demographic research and digital social science. The main goals of the course are to introduce students

  1. to recent substantive advances in the field of Digital and Computational Demography;

  2. to some of the methods, approaches and tools of data science in the context of population research; and

  3. to induce critical thinking about modern demographic analysis and (online) data-driven discovery

Online lectures

All lectures will be on Zoom, on the EDSD group. Students are expected to attend all sessions remotely. Please get in touch with the course conveyor in advance if you anticipate issues with this.

Best of luck!

Diego Alburez-Gutierrez, PhD
Research Scientist at the Laboratory of Digital and Computational Demography
Max Planck Institute for Demographic Research
Instructor at the European Doctoral School of Demography

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Materials for 2022 EDSD 'Digital Demography' week

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