Understanding concerns of using algorithmic decision making systems
This study investigates the concerns and behaviours of individuals on ADM services and their use, and how those concerns can be addressed through proper explanations.
Category: Research
ODISSEI (co-)financed the following research:
Will you give us your data? The role of privacy concerns and technological skills for emerging forms of data collection
In this project the researchers propose to solve the nexus between privacy concerns and technology skills.
Collective Nostalgia and Group Dynamics
The main aim of thisproject is to examine the triggers, functions, and consequences of collective nostalgia for group dynamics.
Greed, self-interest and socio-economic success
In this study the researchers try to disentangle the relationships between self-interest, greed and economic behaviour.
Contents, causes and consequences of political discontent
In this project the researchers plan to test the dimensionality of a variety of established measures (i.e. political trust, efficacy, and political cynicism) and newer measures (i.e. populist attitudes) of political discontent.
‘Playing dead’ – Modelling consequences of tonic immobility
In this study, the researchers aim to investigate when and how tonic immobility promotes PTSD development.
Understanding the correlates of appearance-based discrimination
Personal impressions based on facial appearance influence behaviours. In this study, pfysiognomic belief will be examined in a large, representative sample.
A genome-wide association study of health care costs
Who uses the healthcare system and when? Obviously people use it when they get ill, but is everyone as likely to use it for the same conditions in the same way? In this study, researchers from VU Amsterdam examine whether there are specific characteristics which are associated with health care usage and that might explain differences in health outcomes in the population.
Analysing social network of the Netherlands
In this groundbreaking study, Statistics Netherlands linked the records of 16.9 million people, identifying their family, their neighbours, their schoolmates, and their colleagues. The resulting network allows researchers to understand how behaviour and inequalities spread across the population and where strong and weak ties exist between various groups in the population.
Effects of spatial contextual characteristics on personal income
In this remarkable study by researchers at TU Delft, high resolution geo-spatial data are rendered for the whole of the Netherlands and identify the distribution of populations, poverty and deprivation at an unprecedented scale in order to better understand how our local neighbourhood shapes our own lives.