About
I am a postdoctoral researcher in the Psychological Methods departement at the University of Amsterdam. My main interests lie in three research lines.
First, I am part of a team that is currently creating and validating an agent-based pedestrian model (Minds for Mobile Agents; M4MA). With this model, we aim to capture and predict pedestrian in a wide range of scenarios.
Additionally, I investigate the applicability of (non)linear models for understanding intensive longitudinal data, exemplified by my research on the Affective Ising Model (AIM). In this research, I typically focus on both the model’s assumptions and whether the model can reproduce the patterns we observe in the data, finding that nonlinear patterns cannot always be explained away.
Finally, I am interested in in a wide range of psychometric questions of which I am currently working on two. First, I am investigating the reliability and validity of the measurements we obtain from an RTLS positioning systems that we use to collect data for the M4MA project. Second, I am interested in the connection between the qualitative phenomena that we are interested in and the quantitative ratings that we typically obtain from our studies (e.g., rating scales in emotion research).
Interests:
- Dynamical systems
- Affect dynamics
- Pedestrian modeling
- Psychometrics
Contact:
Want to reach out? You can send an email to: niels.vanhasbroeck@gmail.com
Software:
| probabilistic-reward-task | A JavaScript package allowing for flexible definition of an experimental paradigm that allows participants to win and lose money in some consecutive trials. Relies heavily on the lab.js module. |
| InputModels | A Julia package that serves as an extension of the GradientDiffusion.jl package. Allows users to estimate the models defined in GradientDiffusion.jl while accounting for a set of external variables that serve as input to the models. |
| predped | An R package around the Minds for Mobile Agents (M4MA) pedestrian model. Allows users to simulate M4MA in a user-specified environment with user-specified characteristics of the agents. Also has some functionality allowing users to estimate the M4MA on movement data. |
| denoiser | An R package that allows for adding noise and filtering noise from location data. Was specifically created to allow for more realistic simulation and recovery studies performed with predped. |
| impulseR | An R package that allows for the creation and interpretation of system responses when one or multiple impulses are given to the system. |
Links:
https://www.ampl-psych.com/projects/minds-for-mobile-agents/
https://be-prepared-consortium.nl/teams-and-people/
https://www.uva.nl/en/v/a/n.d.p.vanhasbroeck/n.d.p.vanhasbroeck.html