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The master’s thesis focuses on Gamified Green Information Systems (IS). It explores how gamified green IS influence employee behaviour and the motivational factors encouraging environmentally sustainable practices. For this, qualitative research was conducted, and data were collected through semi-structured interviews from seven employees. The data were analysed thematically to conclude to five th
This thesis addresses the need for robust price forecasting in the volatile Rare Earth Elements (REEs) markets. With a specific focus on neodymium, given it is the most utilized REEs, we investigate how feature selection can be effectively performed to guide REE price forecasting by proposing and evaluating three distinct methodologies: Adaptive Lasso, Post-Double Selection (PDS), and an integrate
Geospatial data analysis plays a critical role in a wide range of applications, from urban planning and environmental monitoring to disaster response and infrastructure management. However, it remains technically demanding and largely inaccessible to non-experts due to the complexity of geospatial data structures, domain-specific tools, and the need for advanced programming knowledge. A particular
This thesis explores how Employee-Driven Innovation (EDI) unfolds within Swedish municipal organizations and identifies how EDI is managed and structured, and what kind of innovations that are created in such organizational environments. While innovation is increasingly emphasized in the public sector, this study reveals that its practice is far from uniform. Through qualitative studies of three m
In the West Bank, a context of protracted displacement and institutional fragmentation, internally displaced persons remain structurally excluded from both humanitarian and national protection systems. Amid fragmented aid architecture and legal ambiguity, the Humanitarian-Development-Peace Nexus has been promoted as a framework for institutional coherence. Yet, it remains mired in a contested spac
A gamma-charged particle coincidence spectroscopy setup was constructed, with the intended purpose of analysing future aerosol samples from the ESS. The setup consists of a Compex composite high purity germanium (HPGe) detector, with a bismuth-germanate oxide (BGO) anti-Compton shield (ACS), and a single-sided silicon strip detector (SSD). A 207Bi sample was used to evaluate the performance of the
The transport system of the future needs to be separated from the use of fossil fuels and when it comes to freight trucks, the transition to an electric vehicle fleet appears as the main option. This thesis presents a model that estimates the demand of charging infrastructure of truck fleets based on real-world driving patterns. The model builds on the open-source Multi-Agent Transport Simulation
This thesis examines social workers’ experiences of collaboration with schools and the police in preventing youth crime within the SSPF framework. A qualitative approach was applied, with data collected through six semi-structured video-call interviews. Participants were recruited through purposive and snowball sampling, and thematic analysis identified key themes related to resources, communicati
Floods are among the most frequent and destructive natural disasters in Sub-Saharan Africa, exacerbated by climate change, rapid urbanisation, and inadequate infrastructure. In this context, drones, or Unmanned Aerial Systems (UAS), are increasingly recognised for their potential to enhance disaster management. Yet, adoption across the region remains fragmented, inconsistently integrated into work
Realistic virtual environments offer valuable applications in rehabilitation, especially for individuals with limited mobility. However, most existing virtual reality (VR)-based rehabilitation platforms rely on procedurally generated or low-detail natural scenes, often lacking ecological and spatial authenticity. This study proposes a complete and cost-effective workflow that combines unmanned aer
Pollinators such as Bombus terrestris play a vital role in ecosystem stability and agricultural productivity. Developing methods to estimate key biological traits such as age and weight is crucial for advancing ecological understanding and conservation efforts. In eusocial insects like B. terrestris, age and weight influence behaviour, task allocation, and survivability, but traditional methods fo
Adeno-associated viruses (AAVs) are among the most promising vectors for safe and effective gene delivery in therapeutic applications. However, engineering functional AAV capsids remains a major challenge due to the vast sequence space, unpredictable biological performance, and limited translational success of many variants. Machine learning offers a powerful strategy to address these limitations
According to sexual selection theory, males should benefit more from mating with multiple partners than females do as male investment into offspring production is typically lower. However, male reproductive success might not increase indefinitely with an increasing number of female mating partners. Male ejaculates are limited, and so mating with multiple females over a short period of time may cau
The purpose of this qualitative study is to explore how the Swedish community support organizations BUFFF and Solrosen support children and youths with incarcerated parents with a focus on how they address stigma, provide safe spaces, and help prevent intergenerational criminality. Through semi-structured interviews with professionals from both organizations, this thesis examines how these childre
The increasing use of 5G networks and their application in critical services makes them vulnerable to Distributed Denial of Service (DDoS) attacks. This thesis investigates the detection and mitigation of DDoS attacks in 5G networks using machine learning (ML) methods. In particular, it analyses two exciting convolutional neural network (CNN)-based models: the LUCID model and the Mohak model, and
With the rapid advancement of electromobility sector, the power density and heat generation of electronic chips is significantly rising. Due to its higher load and lower thermal mass, electronics chips in BEV inverters, such as MOSFETs, are increasingly susceptible to rapid temperature rises. Through the utilization of latent heat absorption, Phase Change Material (PCM) offers a promising passive
Den svenska partipolitiken kännetecknades länge av en tydlig klassdiskurs, och ansågs vara undantaget för nedgången i den klassbaserade röstningen. Under de senaste decennierna har däremot även Sverige genomgått förändringar i den klassbaserade röstningen där arbetarklassens väljare alltmer förflyttats från socialdemokratin till högernationalistiska partier. Följande undersökning avser därför att
The thesis investigates European economic policy uncertainty and its influence on the currency risk premium embedded in the EUR/USD exchange rate. We build a time-series regression model utilizing monthly data from 1999 to 2020. Currency risk premium is proxied with realized excess returns. The model uses control variables for inflation differentials, and global risk sentiment, proxied by the VIX
