The 'WIN' project was set up in 2016 and had the goal to design and test innovative data collection strategies in social research. WIN stands for 'Waarneem Innovatie Netwerk', which in english means 'Data collection Innovation Network. The project was set up as a collaborative project between the data quality group at Utrecht University, and Statistics Netherlands. The focus of the project was on how to use mobile phones and wearable devices to improve the collection of human behavior data, and improve official statistics. We have developed our own open-source smartphone app system, and published many articles. The project was finished after 10 successful years in 2025.
The emergence of smart devices, in particular mobile devices, has widened the potential types of data that can be collected in the social sciences. Given the fact that traditional surveys require more and more effort, new data sources collected via …
Individual mobility trajectories are difficult to measure and often incur long periods of missingness. Aggregation of this mobility data without accounting for the missingness leads to erroneous results, underestimating travel behavior. This paper …
Traffic estimation is an important area in official statistics and is used by policymakers in their decision-making process for regional planning. This paper describes a framework that relies on combining large amounts of data from traffic loop …
Anyone with a smartphone can take pictures anytime anywhere. This opens the opportunity for researchers to collect photos to augment traditional Web survey data. We conducted an experimental survey asking 2700 members of the Dutch LISS panel about …
Passively-generated location data have the potential to augment mobility and transportation research, as demonstrated by a decade of research. A common trait of these data is a high proportion of missingness. Naïve handling, including list-wise …
Smartphone sensors allow measurement of phenomena that are difficult or impossible to capture via self-report (e.g., geographical movement, physical activity). Sensors can reduce respondent burden by eliminating survey questions and improve …
Advances in smartphone technology have allowed for individuals to have access to nearcontinuous location tracking at a very precise level. As the backbone of mobility research, the Travel Diary Study, has continued to offer decreasing response rates …
The growing smartphone penetration and the integration of smartphones into people’s everyday practices offer researchers opportunities to augment survey measurement with smartphone-sensor measurement or to replace self-reports. Potential benefits …