Decentralized Finance (DeFi) lending platforms claim to use decentralized, community-driven governance. In practice, however, governance power remains concentrated among a limited number of users. This thesis investigates the behavior of users actively participating in governance in two major DeFi lending platforms, Aave and Compound, using a network science approach. Data covering governance actions and both governance and yield token transfers is combined in a multi-layered network model. By combining these layers, it is possible to investigate the characteristics of governance-active users. Specifically, how their governance activity relates to their behavior in the token transfer networks. The analysis studies correlations between token transfer patterns and governance participation, detects communities in governance token transfer networks, and uses a Susceptible-Infected (SI) process to estimate each user's structural influence in a spreading process to compare this to governance activity. The results show that governance token transfer volume strongly correlates with voting power, while other network features do not. Most governance-active users cluster together in a few communities in the governance token transfer network. Users with a greater simulated spreading potential only tend to partially hold higher actual voting power. Together, these findings suggest that DeFi governance is strongly shaped by token wealth and tight user clustering, highlighting that open design alone does not guarantee broad and equal participation.

In this paper, one of the challenges that comes with defending in AI soccer is highlighted and an attempt is made in finding a solution for the problem. In soccer, defense is an important part of the game and the research question in this research is formulated as follows: what are the most effective methods to take by surprise and dispossess the attacking opponent player who carries the ball? To find the most optimal solutions for this problem, the Webots AI Soccer environment is used, which simulates a game of five versus five soccer. To be able to answer the research question, several approaches and strategies are implemented in the environment and their success is compared. This has led to the conclusion that, in this particular environment, defensive actions like slide tackling cannot be performed and thus cannot be used to defend. Therefore, other solutions are necessary, as a result, a combination of approaches is the most important way of making the dispossession strategy as successful as possible. This combination consists of predicting where the opponent is moving to with the ball and determining the optimal side to approach the opponent from.