I am a senior researcher at the Centre of Expertise HRTech of Rotterdam University of Applied Sciences and a Research Associate at the University of Amsterdam. My main interests are experimental economics, behavioral economics and environmental economics.
I have a research master in neuroeconomics from Maastricht University and a PhD in behavioral economics from Vrije Universiteit Amsterdam. My PhD thesis entitled Improving flood preparedness using insights from economic experiments can be found here.
Currently, I am working on a project about sustainable matching platforms for the logistics sector, as well as two VR projects. (photo: Ljilja Suvajdžić)
PhD in Behavioral Economics, 2021
Vrije Universiteit Amsterdam
MSc in Cognitive and Clinical Neuroscience (Research Master, Neuroeconomics), 2016
Maastricht University
BSc in Liberal Arts & Sciences, 2014
Tilburg University
Trackpilots can help inland skippers sail an optimal route with minimal human input, which has the potential to save fuel costs and lower crew workload. In theory, widespread adoption of trackpilots is not only beneficial for crew on board, but also for traffic operators ashore. Data from trackpilots or intentions could be shared with fellow skippers and traffic operators. This could minimize verbal communication and allow operators to focus on the most important safety concerns. However, a larger information load in the form of trackpilot data may not necessarily increase situational awareness. This paper examines the effect of trackpilot use on situational awareness in practice, with two field experiments run by students at the Rotterdam University of Applied Sciences. The exploratory results suggest that a trackpilot has the potential to shift situational awareness and decreases workload on board. At the same time, when vessel traffic services (VTS) operators ashore receive intentions from trackpilot information, situational awareness is unaffected, but operators expect the workload to increase. Policy implications and suggestions for further research are discussed.
During a hurricane, it is vital that individuals receive communications that are easy to process and provide sufficient information to allow informed hurricane preparedness decisions and prevent loss of life. We study how different hurricane warning scales, the traditional Saffir-Simpson Hurricane Wind Scale (SSHWS) versus the newly developed Tropical Cyclone Severity Scale) (TCSS), impact intent to evacuate and understanding of hurricane severity. We use a between-subject design where participants are assigned to either the traditional SSHWS or the new TCSS scale. We collected data in a large-scale (4000 participants) online experiment to examine potential differences in comprehension, risk perception, anticipated evacuation, and preparation decisions among residents in U.S. coastal states prone to hurricanes. We find that participants using the TCSS scale are better at identifying the main hazard of a hurricane. For evacuation, the TCSS leads to significantly higher evacuation intent as opposed to SSHWS in cases where the TCSS is at least two categories higher (due to rainfall or storm surge being the main hazard rather than wind). In addition, the TCSS also seems to have a positive effect on taking appropriate precautionary measures, though not always at our stated significance level. Overall, our results demonstrate that people make better informed and more appropriate decisions with the TCSS as opposed to the currently used SSHWS.
PDF DOI Supplementary Information Stage 1 Protocol Data and Analysis code
This KIEM project explores innovative ways to help ship operators save fuel and reduce emissions.
Giving as a self-control problem. With Cristina Figueroa, Ivan Soraperra and Joel van der Weele. [submitted]
For the ‘Greater Good’, Please Choose A. With Lenka Fiala and Sulagna Dasgupta. [in review]