Lectures and seminars PHSP seminar: Precarious Employment
30-11-2021 Add to iCal
PHSP welcome all doctoral students and researchers at KI to a seminar series in Precarious Employment. Precarious employment is related to work for remuneration that is characterized by uncertainty, low income, and limited social benefits and statutory entitlements. Over the past decade, the interest in precarious employment in public health research has been increasing as it is thought to be correlated with several adverse health effects.
- 30 September 9.00-11.00
- 28 October 9.00-11.00
- To be announced
We have three seminars online with the following themes:
I. Theories and models on non-standard work
Date: 30 September 9.00-11.00
A dissection of different concepts in the field of non-standard employment. What is the difference between Precarious Employment, Employment Quality, Non-standard Employment and other related concepts such as gig and platform work and how do they relate to each other.
The seminar will be led by Theo Bodin who is an Associate Professor at Unit of Occupational Medicine and Director of Center for Occupational and Environmental Medicine.
II. Methodological challenges in studying Non-standard Employment I
Date: 28 October; 9.00-11.00
There are several challenges to studying individuals in non-standard employment. This section of the course will cover: 1) measurement of precarious employment, including scales, survey items and register-based data as means of operationalizing measures of precarious employment (EPRES, EPI, SWEROPE etc.), and 2) sampling and recruitment of precarious employees, including convenience sampling, respondent-driven sampling methodology, register-based approaches etc.
The seminar will be led by Nuria Matilla Santander who is a postdoctoral researcher at the Unit of Occupational Medicine.
III. Methodological challenges in studying Non-standard Employment II
Date: To be announced
To date, research on precarious employment and its effects on health is mostly based on cross-sectional studies. These studies are subject to several biases (e.g., common method bias) and cannot handle reverse causation properly. Moreover, changes of employment relationships (and its quality) over time are common and methods such as trajectory analyses may help to study them as predictors of poor health.
The seminar will be led by Nuria Matilla Santander and Theo Bodin.
To attend any of the seminars, please register at email@example.com.
Janne Agerholm | Programme Coordinator, PHSP