This paper provides reflections on transdisciplinary knowledge coproduction and experimentation processes from sustainability researcher perspectives. It centers on a 5-year period of collaborative research with small- and medium-sized enterprises in an Urban Living Lab in the Swedish craft beer sector. Nine reflections cover a variety of issues and potentials encountered during numerous interacti

Research on democratic attitudes has recently turned to examine citizens’ views about the performance of specific democratic institutions in their country. Drawing on data from the European Social Survey (ESS6) and the Bright Line Watch Project (BLW) in the United States, this article argues that such evaluative questions carry high levels of cognitive complexity that lead to gender gaps in item r

Dealing with irregular domains, graph signal processing (GSP) has attracted much attention especially in brain imaging analysis. Motor imagery tasks are extensively utilized in brain-computer interface (BCI) systems that perform classification using features extracted from Electroencephalogram signals. In this paper, a GSP-based approach is presented for two-class motor imagery tasks classificatio

Hypoxic–ischaemic brain injury (HIBI) is the main causeof death and disability in patients who are comatose afterreturn of spontaneous circulation (ROSC) from cardiacarrest [1]. Te electroencephalogram (EEG) is a usefultool to assess the severity of HIBI and provide prognostic information. In addition, EEG can be used to diagnoseepileptiform activity in patients with suspected seizuresand monitor

The built environment is important to achieve a sustainable society. From a sustainability perspective, refurbishment can be preferable to building anew. A significant proportion of the built environment needs to be refurbished. Refurbishment projects also provide the opportunity to proactively upgrade the working environment for users during operation and use.Research concerning the working envir

The multi-armed bandit (MAB) problem models a decision-maker that optimizes its actions based on current and acquired new knowledge to maximize its reward. This type of online decision is prominent in many procedures of Brain-Computer Interfaces (BCIs) and MAB has previously been used to investigate, e.g., what mental commands to use to optimize BCI performance. However, MAB optimization in the co

Proximity testing is at the core of sev-eral Location-Based Services (LBS) offered by, e.g., Uber, Facebook, and BlaBlaCar, as it determines closeness to a target. Unfortunately, modern LBS demand not only that clients disclose their locations in plain, but also to trust that the services will not abuse this information. These requirements are unfounded as there are ways to perform proximity testi