Volunteered geographic information in natural hazard analysis : a systematic literature review of current approaches with a focus on preparedness and mitigation

With the rise of new technologies, citizens can contribute to scientific research via Web 2.0 applications for collecting and distributing geospatial data. Integrating local knowledge, personal experience and up-to-date geoinformation indicates a promising approach for the theoretical framework and the methods of natural hazard analysis. Our systematic literature review aims at identifying current research and directions for future research in terms of Volunteered Geographic Information (VGI) within natural hazard analysis. Focusing on both the preparedness and mitigation phase results in eleven articles from two literature databases. A qualitative analysis for in-depth information extraction reveals auspicious approaches regarding community engagement and data fusion, but also important research gaps. Mainly based in Europe and North America, the analysed studies deal primarily with floods and forest fires, applying geodata collected by trained citizens who are improving their knowledge and making their own interpretations. Yet, there is still a lack of common scientific terms and concepts. Future research can use these findings for the adaptation of scientific models of natural hazard analysis in order to enable the fusion of data from technical sensors and VGI. The development of such general methods shall contribute to establishing the user integration into various contexts, such as natural hazard analysis

Automating the black art: Creative places for artificial intelligence in audio mastering

In this paper, we consider the impact of artificial intelligence (AI) in the creative economy of music production. One sector in particular, audio post-production, is experiencing rapid change due to AI and various other forms of automation. This spells major changes, now and in the future, for skills, employment and work. Many accounts on the role of machine automation in occupational instability-specifically, reductions in human employment-have focused on the manufacturing (assembly lines) and service (financial, legal and administration) sectors: so-called blue- and white-collar jobs. However, there are as yet only limited forays into the possible consequences of AI in the creative economy, in particular on \u27no-collar jobs\u27. Creative occupations were previously understood to be immune from the disruptions of AI due to the high levels of intuition, affective knowledge, \u27gut instinct\u27, and other human \u27assets\u27 difficult to replicate by complex algorithms and intelligent machines. Drawing on empirical research on AI in audio post-production, this article contends that there are conflicting notions of the possible impacts of these new innovations on human expertise and digital skills. The article highlights change underway in this profession of audio mastering as workers in the creative industries collaborate and compete with AI-driven technological innovation

“Gaining Control” Women’s Health on Period and Pregnancy Trackers

This project conducts a discourse analysis on four FemTech platforms: Clue, Flo, Ovia, and Sprout. It interrogate how these apps market their services and shape user attitudes about health. This analysis takes place in four sections: (1) visuals, (2) language, (3) services, and (4) terms of use and privacy. This project makes an argument for how FemTech replicates rather than mitigate disparities in the U.S healthcare system