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In this workshop, we explore the question: How can we use our senses toknow trees and foster ecological empathy through interdisciplinary methodsacross landscape design, sound art, and dance/movement? We inviteparticipants to develop sensory responses to real or imaginary trees asimpetus for sonic kinesthetic expression. The workshop will encourageinteraction with trees to reveal the aliveness and
Following the successful first Urban Sound Symposium held at Ghent University in 2019, the second edition in 2021 had to face the challenges of the pandemic. The symposium turned this challenge into an opportunity for giving easier access to practitioners and experts from around the globe who are confronted with urban sound in their professional activities. It was organized simultaneously in Ghent
Our project explores sensory-driven research methodologies that fuel a creativeprocess for the design of a forest landscape. We ask the question, how can landscape design research be advanced and enriched through the integration of sonic and kinesthetic methodologies? As a collaboration between a landscape designer, movement analyst and sound artist, we are working with a group of graduate student
The on-going combination of sound practices with practices that operate in visual-spatial dimensions such as works of installation art, audiovisual composition, and sound art has not only created new aesthetic challenges concerning the combination of features and modalities of the different art forms butalso new ways for developing, interacting with, and experiencing artworks. Strongly associated
This presentation discusses material and performative aspects of sound art through the combination of sculptural objects, sounds and a sensing system. Our work ‘Schíma – morphé – íchos’, offers itself up as a sound installation, a sculptural ensemble and a live performance where form, structure, playability and the background system are brought together to identify new ways of composing, making an
Den här antologin visar vad som händer när skolans och universitetets världarmöts i genuin samverkan. Inom ramen för ULF‑satsningen vid Lunds universi‑tet har lärare, forskare, skolledare och lärarstudenter samt elever tillsammansutvecklat projekt som utgår från verkliga behov i undervisningen – och somsamtidigt bidrar till ny forskning.Genom konkreta exempel från grundskola, gymnasium och kulturs
This chapter examines trends in child poverty in Sweden through national and European databases, highlighting the achievements and challenges of Swedish welfare. The Swedish model has historically promoted equality through the dual-earner family model, progressive taxes, and generous benefits such as parental leave and publicly funded childcare. While these policies have promoted equality, rising
This article explores meaningful work across two frontline occupations, bank advisors and schoolteachers. We build on narrative research focusing on the role of stories and storytelling in the sensemaking and identity construction processes related to work to explore the importance of others in the perception and construction of everyday work as meaningful. To study this, we examine the narrativ
Enhanced efforts in the transportation sector should be implemented to mitigate the adverse effects of CO2 emissions resulting from zoning-based planning paradigms. The concept of a 15-minute city, emphasizing proximity-based planning, holds promise in reducing unnecessary travel and progressing towards carbon neutrality. However, a critical research question remains inadequately explored: to what
Poverty threatens human development especially for developing countries, so ending poverty has become one of the most important United Nations Sustainable Development Goals (SDGs). This study aims to explore China’s progress in poverty reduction from 2016 to 2019 through time-series multi-source geospatial data and a deep learning model. The poverty reduction efficiency (PRE) is measured by the di
Predicting the next visited location of an individual is a key problem in human mobility analysis, as it is required for the personalization and optimization of sustainable transport options. Here, we propose a transformer decoder-based neural network to predict the next location an individual will visit based on historical locations, time, and travel modes, which are behaviour dimensions often ov
Location graphs, compact representations of human mobility without geocoordinates, can be used to personalise location-based services. While they are more privacy-preserving than raw tracking data, it was shown that they still hold a considerable risk for users to be re-identified solely by the graph topology. However, it is unclear how this risk depends on the tracking duration. Here, we consider
The spatial distribution of buildings is one of the key factors influencing the local environment within a city. The quantitative measurement of building distribution can provide critical information for exploring local climate patterns in urban areas. Previous studies mainly focused on the two-dimensional spatial distribution of buildings and ignored the differences in height. In this study, a th
Human mobility exhibits power-law distributed visitation patterns; i.e., a few locations are visited frequently and many locations only once. Current research focuses on the important locations of users or on recommending new places based on collective behaviour, neglecting the existence of scarcely visited locations. However, assessing whether a user will return to a location in the future is hig
Detecting travel modes from global navigation satellite system (GNSS) trajectories is essential for understanding individual travel behavior and a prerequisite for achieving sustainable transport systems. While studies have acknowledged the benefits of incorporating geospatial context information into travel mode detection models, few have summarized context modeling approaches and analyzed the si
