52 research outputs found

    Expanding Data Imaginaries in Urban Planning:Foregrounding lived experience and community voices in studies of cities with participatory and digital visual methods

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    “Expanding Data Imaginaries in Urban Planning” synthesizes more than three years of industrial research conducted within Gehl and the Techno–Anthropology Lab at Aalborg University. Through practical experiments with social media images, digital photovoice, and participatory mapmaking, the project explores how visual materials created by citizens can be used within a digital and participatory methodology to reconfigure the empirical ground of data-driven urbanism. Drawing on a data feminist framework, the project uses visual research to elevate community voices and situate urban issues in lived experiences. As a Science and Technology Studies project, the PhD also utilizes its industrial position as an opportunity to study Gehl’s practices up close, unpacking collectively held narratives and visions that form a particular “data imaginary” and contribute to the production and perpetuation of the role of data in urban planning. The dissertation identifies seven epistemological commitments that shape the data imaginary at Gehl and act as discursive closures within their practice. To illustrate how planners might expand on these, the dissertation uses its own data experiments as speculative demonstrations of how to make alternative modes of knowing cities possible through participatory and digital visual methods

    Fysisk aktivitet i naturen for pasienter med depresjon

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    Sammendrag Bakgrunn: I psykiatrisk behandling viser pasientundersĂžkelser at kroppens fysiske helse fortsatt blir lite vektlagt, selv om fysisk aktivitet er ansett som en egnet metode for hjelp til selvhjelp ved psykiske lidelser, og har positiv effekt pĂ„ symptomer ved depresjon (Danielsen, 2021, s.6; Martinsen, 2018, s.26). Hensikt: Tilegne oss mer kunnskap og fĂ„ en dypere forstĂ„else for hvordan man som sykepleier kan fremme psykisk helse hos pasienter med depresjon, ved Ă„ tilrettelegge for fysisk aktivitet i naturen. Metode: Vi har gjennomfĂžrt en litteraturstudie basert pĂ„ fire kvalitative studier. Vi har benyttet modell for analyse av Friberg, og sortert data i nye hoved- og underkategorier ut ifra vĂ„r problemstilling. Resultat:Vi kom frem til tre hovedkategorier og fem underkategorier. Hovedkategoriene individuelle faktorer, sosiale faktorer og fysisk aktivitet i naturen kom frem som viktige faktorer for at sykepleier skal kunne fremme den psykiske helsen hos pasienter med depresjon, ved Ă„ tilrettelegge for fysisk aktivitet i naturen. Konklusjon: Fysisk aktivitet i naturen ser ut til Ă„ ha en helsefremmende effekt for pasienter med depresjon. Å ta hensyn til depresjonens forlĂžp, utfordringer knyttet til depresjonen og pasientenes preferanser, samt hjelpe pasienten Ă„ finne meningsfulle aktiviteter, kom frem som viktige faktorer for Ă„ tilrettelegge for fysisk aktivitet i naturen. Aktiviteter i naturen ser ut til Ă„ bidra til glede og tilstedevĂŠrelse for pasient og sykepleier. Rollene mellom pasient og sykepleier kan bli mer likeverdige i naturen, som trekkes frem som en viktig faktor i relasjonsbygging. NĂžkkelord: Psykisk helse, depresjon, friluftsliv, natur og fysisk aktivitet, sykeplei

    The Urban Belonging Photo App:A toolkit for studying place attachments with digital and participatory methods

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    This paper introduces the open-source Urban Belonging (UB) toolkit, designed to study place attachments through a combined digital, visual and participatory methodology that foregrounds lived experience. The core of the toolkit is the photovoice UB App, which prompts participants to document urban experiences as digital data by taking pictures of the city, annotating them, and reacting to others’ photos. The toolkit also includes an API interface and a set of scripts for converting data into visualizations and elicitation devices. The paper first describes how the app’s design specifications were co-created in a process that brought in voices from different research fields, planners from Gehl Architects, six marginalized communities, and citizen engagement professionals. Their inputs shaped decisions about what data collection the app makes possible, and how it mitigates issues of privacy and visual and spatial literacy to make the app as inclusive as possible. We document how design criteria were translated into app features, and we demonstrate how this opens new empirical opportunities for community engagement through examples of its use in the Urban Belonging project in Copenhagen. While the focus on photo capture animates participants to document experiences in a personal and situated way, metadata such as location and sentiment invites for quali-quantitative analysis of both macro trends and local contexts of people’s experiences. Further, the granularity of data makes both a demographic and post-demographic analysis possible, providing empirical ground for exploring what people have in common in what they photograph and where they walk. And, by inviting participants to react to others’ photos, the app offers a heterogeneous empirical ground, showing us how people see the city differently. We end the paper by discussing remaining challenges in the tool and provide a short guide for using it

    The physical activity paradox revisited: a prospective study on compositional accelerometer data and long-term sickness absence

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    Background The 'physical activity paradox' advocates that leisure physical activity (PA) promotes health while high occupational PA impairs health. However, this paradox can be explained by methodological limitations of the previous studies-self-reported PA measures, insufficient adjustment for socioeconomic confounding or not addressing the compositional nature of PA. Therefore, this study investigated if we still observe the PA paradox in relation to long-term sick absence (LTSA) after adjusting for the abovementioned limitations. Methods Time spent on moderate-to-vigorous physical activity (MVPA) and remaining physical behaviors (sedentary behavior, standing, light PA and time in bed) at work and in leisure was measured for 929 workers using thigh accelerometry and expressed as isometric log-ratios (ilrs). LTSA was register-based first event of >= 6 consecutive weeks of sickness absence during 4-year follow-up. The association betweenilrsand LTSA was analyzed using a Cox proportional hazards model adjusted for remaining physical behaviors and potential confounders, then separately adjusting for and stratifying by education and type of work. Results During the follow-up, 21% of the workers experienced LTSA. In leisure, more relative MVPA time was negatively associated with LTSA (20% lower risk with 20 min more MVPA,p = 0.02). At work, more relative MVPA time was positively associated with LTSA (15% higher risk with 20 min more MVPA,p = 0.02). Results remained unchanged when further adjusted for or stratified by education and type of work. Conclusion These findings provide further support to the 'PA paradox'

    Fixation and Spread of Somatic Mutations in Adult Human Colonic Epithelium.

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    We investigated the means and timing by which mutations become fixed in the human colonic epithelium by visualizing somatic clones and mathematical inference. Fixation requires two sequential steps. First, one of approximately seven active stem cells residing within each colonic crypt has to be mutated. Second, the mutated stem cell has to replace neighbors to populate the entire crypt in a process that takes several years. Subsequent clonal expansion due to crypt fission is infrequent for neutral mutations (around 0.7% of all crypts undergo fission in a single year). Pro-oncogenic mutations subvert both stem cell replacement to accelerate fixation and clonal expansion by crypt fission to achieve high mutant allele frequencies with age. The benchmarking of these behaviors allows the advantage associated with different gene-specific mutations to be compared irrespective of the cellular mechanisms by which they are conferred

    Replica selection in Apache Cassandra : Reducing the tail latency for reads using the C3 algorithm

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    Keeping response times low is crucial in order to provide a good user experience. Especially the tail latency proves to be a challenge to keep low as size, complexity and overall use of services scale up. In this thesis we look at reducing the tail latency for reads in the Apache Cassandra database system by implementing the new replica selection algorithm called C3, recently developed by Lalith Suresh, Marco Canini, Stefan Schmid and Anja Feldmann. Through extensive benchmarks with several stress tools, we find that C3 indeed decreases the tail latencies of Cassandra on generated load. However, when evaluating C3 on production load, results does not show any particular improvement. We argue that this is mostly due to the variable size records in the data set and token awareness in the production client. We also present a client-side implementation of C3 in the DataStax Java driver in an attempt to remove the caveat of token aware clients. The client-side implementation did give positive results, but as the benchmark results showed a lot of variance we deem the results to be too inconclusive to confirm that the implementation works as intended. We conclude that the server-side C3 algorithm will work effectively for systems with homogeneous row sizes where the clients are not token aware.För att kunna erbjuda en bra anvÀndarupplevelse sÄ Àr det av högsta vikt att hÄlla responstiden lÄg. Speciellt svanslatensen Àr en utmaning att hÄlla lÄg dÄ dagens applikationer vÀxer bÄde i storlek, komplexitet och anvÀndning. I denna rapport undersöker vi svanslatensen vid lÀsning i databassystemet Apache Cassandra och huruvida den gÄr att förbÀttra. Detta genom att implementera den nya selektionsalgoritmen för replikor, kallad C3, nyligen framtagen av Lalith Suresh, Marco Canini, Stefan Schmid och Anja Feldmann. Genom utförliga tester med flera olika stressverktyg sÄ finner vi att C3 verkligen förbÀttrar Cassandras svanslatenser pÄ genererad last. Dock sÄ visade anvÀnding av C3 pÄ produktionslast ingen större förbÀttring. Vi hÀvdar att detta framförallt beror pÄ en variabel storlek pÄ datasetet och att produktionsklienten Àr tokenmedveten. Vi presenterar ocksÄ en klientimplementation av C3 i Java-drivrutinen frÄn DataStax, i ett försök att ÄtgÀrda problemet med tokenmedventa klienter. Klientimplementationen av C3 gav positiva resultat, men dÄ testresultaten uppvisade stor varians sÄ anser vi att resultaten Àr för osÀkra för att kunna bekrÀfta att implentationen fungerar sÄ som den Àr avsedd. Vi drar slutsatsen att C3, implementerad pÄ servern, fungerar effektivt pÄ system med homogen storlek pÄ datat och dÀr klienter ej Àr tokenmedvetna
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