As most other EU countries, Hungary implemented severe lockdown measures during the pandemic, including the closure of the schools and childcare facilities. This meant that for several months a vastly increased volume of childcare had to be supplied by individual households without much institutional help. In the end of May 2020, we conducted a representative survey in Hungary to find out how the pandemic affected the gendered division of these childcare duties. We found that on average, in relative terms, men have increased their contributions at roughly the same rate (by 35 percent) as women. But given that women had been doing a lot more childcare work before the pandemic, in absolute terms, women's contributions grew significantly more than men's and the gap between men and women has increased in absolute work hour terms. This was particularly so among a specific group of women: middle class, highly educated citydwellers. Our data suggest that in Hungary the pandemic increased gender inequality the most among the highest educated.

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In this paper, we present the results of an exploratory study conducted in Hungary using a factorial design-based online survey to explore the willingness to participate in a future research project based on active and passive data collection via smartphones. Recently, the improvement of smart devices has enabled the collection of behavioural data on a previously unimaginable scale. However, the willingness to share this data is a key issue for the social sciences and often proves to be the biggest obstacle to conducting research. In this paper we use vignettes to test different (hypothetical) study settings that involve sensor data collection but differ in the organizer of the research, the purpose of the study and the type of collected data, the duration of data sharing, the number of incentives and the ability to suspend and review the collection of data. Besides the demographic profile of respondents, we also include behavioural and attitudinal variables to the models. Our results show that the content and context of the data collection significantly changes people’s willingness to participate, however their basic demographic characteristics (apart from age) and general level of trust seem to have no significant effect. This study is a first step in a larger project that involves the development of a complex smartphone-based research tool for hybrid (active and passive) data collection. The results presented in this paper help improve our experimental design to encourage participation by minimizing data sharing concerns and maximizing user participation and motivation.