Time Use Research: 2-day training event
Date:
16/06/2025 - 17/06/2025
Organised by:
Centre for Time Use Research, UCL and University of Oxford
Presenter:
Dr Elena Mylona, Dr Grace Chang, Dr Zhuofei Lu, Prof Jonathan Gershuny, Prof Oriel Sullivan, Prof Doina Olaru
Level:
Intermediate (some prior knowledge)
Contact:
Dr Elena Mylona, e.mylona@ucl.ac.uk
Dr Grance Chang, timeuse2025@gmail.com
Description:
We are happy to announce that time use experts working at the Centre for Time Use Research, UCL, and the University of Oxford (GenTime) are organising a time use training event in London, UK, this June.
You will have the opportunity to learn about time use data and analysis techniques (including a short introduction), and network with like-minded researchers and time use research enthusiasts. We will provide R and Stata syntax, and each statistical programme will be used based on the type of analysis performed.
Join us on the 16th - 17th of June 2025 in London, UK to learn about:
- Time use research literature
- Existing time use datasets
- Time diary data management
- Household time diary level data analysis
- Time diary sequence analysis
- Explore how time diary data would fit in your research
Location: IOE, UCL's Faculty of Education and Society (near Euston station, London)
Times: 10:00 – 17:00 with optional social events in the evening
Schedule: To be available soon on our website timeuse.org, and the event page
Limited tickets are available, BOOK NOW:
J81 2-day Time Use Event UCL Oxford | UCL Online Store
Auditing tickets (online participation) are also available here:
J81 Auditing 2-day Time Use Event UCL Oxford | UCL Online Store
Last day to register your spot: 2nd of June 2025
Cost:
In-person STUDENT: £120
In-person UNIVERSITY STAFF: £180
In-person OTHER: £240
Online (auditing) STUDENT: £50
Online (auditing) UNIVERSITY STAFF: £75
Online (auditing) OTHER: £100
Website and registration:
Region:
Greater London
Keywords:
Frameworks for Research and Research Designs, Data Collection, Diary Methods, Online Data Collection , Data Collection (other), Data Quality and Data Management , Quantitative Data Handling and Data Analysis
Related publications and presentations from our eprints archive:
Frameworks for Research and Research Designs
Data Collection
Diary Methods
Online Data Collection
Data Collection (other)
Data Quality and Data Management
Quantitative Data Handling and Data Analysis