Filtyp
I investigate how temperature variations influence time allocation for the consumption of various goods and services, focusing on essential and non-essential consumption. Using data from the American Time Use Survey (ATUS) and National Oceanic and AtmosphericAdministration (NOAA)'s weather records, I employ fixed-effects regression models to estimate the nonlinear impact of maximum temperature
The purpose of this study was to investigate when human error is deemed to be culpable in a context of aviation and Just Culture. The study was conducted through a literature review together with a qualitative interview study with stakeholders in Swedish airlines and relevant authorities. For a long time there has been a tendency to see humans as faulty and blameworthy, while safety scholars sugge
In this master’s thesis I aim to produce knowledge concerning the perceived expertise and cognitive authority of generative AI models, specifically in regard to health, politics and the environment. This problem is important to investigate in order to better understand how people interact with synthetic information, both as a reliable source and as an example of mis- or disinformation. Furthermore
This thesis presents an incremental Structure-from-Motion pipeline through the use of affine transformations of monocular depth priors. The scene points are triangulated by averaging lifted covisible keypoints utilizing the calculated transformations. Each new image is registered to the reconstruction by first estimating the camera pose, then aligning the depth prior to the observed 3D points. We
This thesis studies the impact that seagrass meadows have in terms of attenuating incoming wave heights and mitigating coastal erosion. Specifically, this study seeks to investigate how seagrass meadows impact the coastline by looking at the longshore sediment transport, which has been identified as the key erosion process. This will be done by looking at the case study of Le Morne on Mauritius. T
Carbon leakage resulting from asymmetric climate policies undermines the effectiveness of global climate governance. This paper examines whether China’s national Emissions Trading System, launched in 2021, has induced carbon leakage through outward foreign direct investment at the firm level. Using firm-level data and a PSM-DID approach, this study finds no evidence of investment-driven carbon lea
This thesis explores the challenges associated with electronic legal deposit in Sweden, focusing on both its historical development and current legal framework. While the existing legislation for electronic legal deposit was introduced in 2012, it has not kept pace with technological advancements, resulting in significant gaps in the collection and preservation of digital publications. The study a
Klockdrift kan orsaka problem vid datainsamling och negativt påverka kvaliteten på insamlad data. Denna klockdrift är vanligt förekommande i de klockor som används i digitala och självrapporterande sensorer och beror på kvartsoscillatorns kvalitet och konstruktion. I sammanhang där vanliga synkroniseringsprotokoll inte kan användas krävs en lösning som tillåter att insamlad data korrigeras i efte
Over time, Sweden has demonstrated a stable policy line across governments, marked by a critical view of further EU integration in the area of security and defence. There is a strong tendency in Sweden to initially reject EU proposals in this domain and widely advocated that this area is best managed at a national level. Over the past seven years, Sweden has initially rejected several EU proposals
The digital transformation impacts the archive sector, the threat picture is rising and creating new demands for information security. This master's thesis investigates how modern municipal archivists manage information security and the challenges they face in this evolving landscape. The study aims to complement existing research by exploring how archivists navigate the growing information se
During the last ten years, many reports have highlighted the increasingly stressed working environment in Swedish public libraries. Librarians are experiencing elevated stress levels and encountering various forms of disorder in their daily work. The purpose of this thesis is to investigate and contribute with insights of how librarians perceive and manage different forms of disorder in public l
This thesis explores how interaction between humans and generative artificial intelligence can be understood as an entangled, co-constitutive practice of information production. Drawing on Karen Barad’s theory of agential realism and Luciano Floridi’s information ethics, the study examines not only how such interaction unfolds, but also what ethical implications it may carry. The empirical materia
Children and young people with non-normative functionality are, according to the Swedish Library Act, prioritised groups. Still, many libraries lack inclusive and accessible services and resources aimed at these groups. This thesis explores the Apple Shelf – a section in Swedish public libraries intended to create an inclusive environment and offer relevant resources that address the needs of thes
The primary aim of the paper is to evaluate whether listed Nordic serial acquirers create short-term abnormal returns at the time of acquisition announcements, and also to determine if serial acquirers experience diminishing returns following additional acquisition announcements, and if concentrated family ownership mitigates the diminishing returns. Theoretical perspectives used include agency t
Climate change is expected to increasingly challenge agricultural systems worldwide, and Sweden is no exception. Although agriculture represents a relatively small share of national employment, it plays a critical role in food security, particularly in Skåne County, which contains some of the country’s most productive farmland. This thesis investigates how deviations from long-term average tempera
Stora språkmodeller (LLM) har uppvisat anmärkningsvärda förmågor inom en rad olika uppgifter inom naturlig språkbehandling (NLP). Deras prestanda är dock mycket känslig för den inledande prompt som används för att fråga dem. Manuell promptkonstruktion, även om den är effektiv, är ofta tidskrävande och kräver betydande expertis. Denna avhandling undersöker promptoptimering, med fokus på en automatiLarge Language Models (LLMs) have demonstrated remarkable capabilities across various Natural Language Processing (NLP) tasks. However, their performance is highly sensitive to the input prompt used to query them. Manual prompt engineering, while effective, is often time-consuming and requires significant expertise. This thesis investigates Prompt Optimization, focusing on a closed-loop, automated
This study aimed to examine and analyze how social workers perceive the new Social Service Act and its ambition to reduce individual needs evaluations. The new Social Service Act also includes increased access to receive social support without social workers’ decision-making. The study aims to generate an understanding of social workers' experiences regarding their professional practice relate
As issues regarding social security and gang violence have risen, safety has become a central concern, both internationally and in Sweden. Several strategies have been developed to counter the possibility of committing crime by changing the urban design and use of public space, including in socio-economically disadvantaged areas. One approach that has emerged from this is Crime Prevention Through
This thesis seeks to bring new understanding in the handling of comics and how the implicit views of librarians can affect this. It further attempts to discuss the pros and cons in different shelving solutions as well as act as a guide to librarians seeking to organize their comics section. The questions that was asked were: How do libraries choose to present their comics in the physical room? How
This thesis applies deep learning methods to examine the forecastability of green bond yields relative to conventional (brown) bond yields. Using Transformer-based neural networks trained on a large panel of macro-financial indicators, selected via LASSO regularization, we develop forecasting models that differentiate between regular and crisis periods. The results suggest that green and brown bon
