Registration deadline: 5 June 2023
(Full desciption of the training course here)
In migration and residential mobility research, there is a growing interest in understanding various temporal processes, including intricate patterns of repeated and circular mobility throughout a person’s life, as well as the impact of earlier moves on life outcomes in later years. Concurrently, the rise in available longitudinal data and the emergence of Big Data present methodological challenges in identifying essential properties and relationships. Consequently, there is a need for efficient methods to analyse regularities in longitudinal migration micro-data. The sequence analysis toolbox offers valuable tools to address these demands effectively.
The training consists of two sessions. The first session serves as an introduction to the sequence analysis toolbox, focusing on the examination of individual migration trajectories. It covers fundamental aspects such as managing and describing categorical time series or sequence data. Additionally, it delves into algorithmic methods used to identify regularities in migration trajectories. In the second session, a machine learning approach –specifically feature selection models– is introduced. This approach allows for the assessment of complex associations between previous migration trajectories and individual life outcomes.
The training emphasizes practical application, utilizing the free software R and a combination of real and simulated datasets. Registered participants will have access to comprehensive training materials, including handouts and R code, enabling them to reinforce their learning beyond the training sessions.
This online training is organized on behalf of the IUSSP Scientific Panel on Lifetime Migration.
Session I: Introduction to sequence analysis – 13 June – 8:30 to 10:30 Universal Time (10:30-12:30 CET)
Instructor: Sergi Vidal, Centre for Demographic Studies, Universitat Autònoma de Barcelona
- Pre-requisites: The method will be taught assuming no prior knowledge. There are no prerequisites to attend this session, but working knowledge of the software R is desirable.
Session II: Feature selection approaches – 15 June – 8:30 to 10:30 Universal Time (10:30-12:30 CET)
Instructor: Danilo Bolano, Bocconi University Carlo F. Dondena Centre for Research on Social Dynamics
- Pre-requisites: The method will be taught assuming rudimentary knowledge of sequence analysis. Attending Session I of this training event, or having done a prior reading or basic course of sequence analysis will suffice. Working knowledge of the software R is desirable.
The courses will be given in English.
The remote audience will have the opportunity to engage with the instructors exclusively through written questions in the chat
Registration: To register for one or both of the training sessions, please click the following link:
https://forms.gle/HRwRDPnJQG4Eip8K9
For queries about the training and registration, contact us at iussptraining@ced.uab.es
Sergi Vidal 