This is the vision @htenkanen.bsky.social and I explore in our new #Ukrainability preprint. Our solution is to treat cultural ecosystem services as the extra quality of time a person spends connected with the environment. This creates a metric, if time in nature feels 'wasted' or 'well spent'.

The broader point: carefully enriching any mobile big data (Twitter is just one example) with temporal and environmental context can reveal complex mobility patterns. This opens new paths to understand transnational lifestyles and to support cross-border cohesion in Europe and beyond.

By testing 100 different model variations, we found the best-performing model, which relatively accurately identified home and work locations. Parameters that looked best under manual validation were not those that best matched aggregated official statistics. Manual validation matters!

We developed a new framework that enriches sparse, geolocated Twitter data by integrating it with universally available data sources: satellite imagery and time-use survey data, to better predict daily activity locations of people.

As part of #Ukrainability project together with @htenkanen.bsky.social, @ollejarv.bsky.social, and Tiina Rinne we study how people use cultural ecosystem services in Ukraine and how they perceive the quality of these experiences during the full-scale Russian invasion.