User data

Contribute to sustainable research

By choosing to share your data with researchers, you contribute to studies about sustainable lifestyles – knowledge that can be used to support behavioral changes and inspire more people to adopt low-carbon habits. Thank you for that! This page contains a list of projects that currently use data from Svalna's app users.

Project: Behavioral science initiatives to reduce individual's carbon footprint

This project contributes with academic knowledge by developing methods and tools to better understand and map the climate impacts of Swedish citizens. The project evaluates, among other things, the effect that information about carbon footprint in combination with behavioral controls has on individuals' consumption behavior and lifestyle. The ambition is that new insights will contribute to future solutions for more sustainable consumption. The project is mainly carried out at the University of Gothenburg.

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Project: Measuring the direct and indirect climate impact of four low-carbon lifestyle choices

Consumers need to change their behavior and habits for the two-degree target to be reached. This study investigates the effect of four commonly identified low-carbon lifestyle choices that many households could potentially adopt to substantially cut the emissions:1) not flying, 2) not owning a car, 3) living in an apartment, and 4) eating vegan. The results show that the four lifestyle choices are related to substantial reductions in the carbon footprints. The project is mainly carried out at Chalmers University of Technology. It started in 2020 and is expected to continue until the end of 2022.

How does it work?

Sharing data with researchers is completely voluntary and made under Account settings in the app. It is always anonymous and we never share your data with researchers unless you explicitly agree. You can withdraw your approval at any time, which will exclude your data from all future research projects.

Which data is shared?

The data shared with researchers are 1) answers to the questions in the profile such as diet and travel habits, 2) how much money is spent in different purchasing categories each week, 3) which bank and number of accounts connected to the app, and 4) data on app usage such as how often the app is used.

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