NSBE - MA Dissertations
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- Gredeadry PT-energy demand forecast: AI data challenge field labPublication . Colmenares, Luis Fernando Soares; Belo , RodrigoMy individual contribution focused on the short-term energy demand forecasting task, based on a regression modeling approach. The objective was to predict demand across two horizons: day-ahead and same-day-next-week. This included defining the modeling strategy, preparing the data splits, tuning hyperparameters, and evaluating model performance. Additionally, detailed teaching notes were developed to support students step by step while preserving independent problem-solving. This contribution combined technical implementation with pedagogical design to ensure both accurate forecasting and effective learning guidance..
- A roadmap to Ai for Ngos: a Cáritas case study - an adapted data governance framework for Ai readiness in federated nonprofit organizationsPublication . Myers, Ryan; Costa, Bernardo Forbes GodinhoFederated nonprofits face unique AI implementation challenges due to data fragmentation across autonomous entities. Existing governance frameworks address corporate hierarchies rather than decentralized nonprofits requiring voluntary coordination. This research adapts and synthesizes established data governance frameworks (Alation, 2024; DAMA International, 2017; Khatri & Brown, 2010) specifically for federated nonprofit organizations preparing for AI implementation. The adapted framework comprises three components: a three-tier governance architecture defining decision rights across central, federated, and autonomous levels; a five-level maturity model establishing AI readiness thresholds; and implementation principles balancing standardization with organizational autonomy.
- Consumers willingness to pay for data deletion services: market analysis and behavioral driversPublication . Chatti, Wael Zammit; Kummer, MichaelThe increasing reliance on digital platforms has intensified concerns about personal data privacy while fostering the emergence of subscription-based data-deletion services designed to help individuals regain control over their information. Despite growing awareness of privacy risks, adoption of such services remains limited. This thesis examines the behavioral and market factors influencing willingness to pay for data-deletion services from an industry perspective. Using a qualitative exploratory approach, the study analyzes a semi-structured interview conducted with IDX, a commercial provider operating in the digital privacy and identity protection market. The interview was examined through thematic coding to identify key patterns related to consumer demand, trust formation, pricing perceptions, and adoption barriers. Findings indicate that consumers evaluate privacy services primarily as convenience oriented products rather than legal tools. Trust signals, transparency, and perceived effectiveness strongly influence adoption, while price sensitivity and low urgency perceptions limit engagement. The results suggest that privacy adoption depends less on legal awareness and more on behavioral factors such as trust and convenience, supporting the conclusion that privacy protection is fundamentally a behavioral challenge rather than a purely legal one.
- Multihoming and design in stablecoins: effects on peg stability, transaction costs and usage intensityPublication . Arcão, Bernardo Filipe Raposo Rico de; Obermeier, DanielUsing daily on-chain data for 92 stablecoins between 2018 and 2025, this study employs difference-in-differences to evaluate the impact of multihoming on peg stability, transaction costs, and usage intensity. Results indicate that multihoming has no statistically significant effect on peg stability and substantially reduces average transaction fees. A "fee paradox" emerges where high fees persist on Ethereum as a premium fixed cost for accessing high value transactions and liquidity, while expansion to cheaper chains unlocks smaller, previously priced-out transactions. Furthermore, multihoming drives massive expansion in total volume, with fiat-backed stablecoins capturing the largest gains compared to algorithmic and crypto collateralized designs
- A design-science approach to gamification for strenghtening teamwork and fair performance evaluation in enterprise workflowsPublication . Miranda, Afonso Manuel Dias; Batikas, MichailThis work focuses on the development of the Strengthening Teamwork and Fair Performance Evaluation category within the proposed enterprise gamification framework. Grounded in motivational psychology, organizational justice, and team dynamics, the model prioritizes collaboration, trust, and perceived fairness in how performance is assessed and recognized. It defines shared-goal structures, peer and leader feedback mechanisms, hybrid metrics that balance individual and team outcomes, and recognition systems that reward meaningful contributions and cooperative behaviors, tailored to the Genio platform. By translating theoretical principles into concrete design patterns and evaluation criteria, this category establishes a structured approach to improving teamwork, reducing bias, and ensuring transparency, consistency, and long-term engagement.
- From digital literacy to economic growth: stack overflow as a behavioural indicator in Europe: with further fime series analysisPublication . Hoard, Caroline Tamara; Kummer, MichaelThis paper examines Stack Overflow activity as a behavioral proxy for regional digital literacy and its relationship with economic growth in Europe. Using panel data for NUTS 3 regions from 2013 to 2021, we construct per-capita measures of platform engagement and estimate fixed-effects models at the NUTS 2 level. Higher Stack Overflow activity is positively associated with subsequent GDP growth. Residual-based analysis further reveals pronounced sub-national hotspots and coldspots of digital activity that are not explained by economic structure or infrastructure, highlighting localized digital ecosystems and spatial inequalities in digital skills.
- Towards a United Nations convention on the rights of young people: conceptual framework for understanding youthPublication . Silva, Sofia martins Duarte; Peralta, SusanaYouth constitute a significant proportion of the global population, yet their recognition as rights-holders within international law remains fragmented and inconsistent. This Work Project combines a collective and an individual contribution. The group component maps the position of youth within international law and governance, identifying conceptual gaps and institutional limitations. Building on this analysis, my individual component focuses on the definitional core of the project, examining how youth can be coherently conceptualized as a distinct legal category and identifying the key criteria for a transition-based, rights-centered definition suitable for a future United Nations Convention on the Rights of Young People.
- Believing the news, contradicting stereotypes? An experiment on the relative credibility of human and AI fact-checkersPublication . Casanova, Jonathan Conrad; Tavares, JoséThis study examines how corruption stereotypes, expectancy violations and fact-checker source influence trust in a fact-check. This research focuses on university students, who exhibit high baseline trust in AI technologies, but remain underexamined in research on trust in AI fact checking. Extending the literature, we show that fact-checks attributed to an AI are trusted less than identical fact-checks attributed to a human fact-checker, even among this AI-literate social-media generation. As the effectiveness of fact-checkers is mediated by source credibility, low trust limits AI’s potential to combat misinformation.
- Colonial wars, local trauma? War casualties as determinants of socioeconomic outcomes across Portuguese MunicipalitiesPublication . Carvalho, Mafalda Sanches Pires Figueiredo; Tavares, JoséThis dissertation examines how conflict exposure affected Portuguese citizens at the municipal level, exploring how variation in Colonial War casualty permillage translates into contemporary education, socioeconomic, and health outcomes, and support for anti-systemic parties, with findings indicating persistent negative impacts. This dissertation stems from "The Legacy of War on Socioeconomic Dynamics and Human Behaviour: Evidence from Portuguese Former Combatants", an investigation surveying 2500 Colonial War Veterans, their wives, and peacekeeping participants, assessing wartime experiences, post-war socioeconomic outcomes, and policy preferences. With Europe witnessing large-scale conflict in Ukraine, insights from this investigation can inform and support policies in future post-conflict contexts.