The field of complex systems is witnessing a significant shift towards game-theoretic approaches to analyze and optimize their behavior. Recent research has focused on developing novel game-theoretic models and mechanisms to address challenges in various domains, including energy systems, transportation networks, and multi-agent systems. A key direction in this area is the design of incentive mechanisms that can align individual self-interest with global objectives, such as social welfare and environmental sustainability. Another important trend is the integration of game-theoretic approaches with other disciplines, such as control theory and artificial intelligence, to develop more comprehensive and effective solutions. Notable papers in this area include: When Competition Helps: Achieving Optimal Traffic Flow with Multiple Autonomous Planners, which shows that competition between planners can be a necessary ingredient for achieving optimal outcomes in traffic flow. Social Welfare in Battery Charging Games, which initiates a research direction on game-theoretic analysis of battery charging behavior and its impact on grid-level objectives. Carbon Pricing in Traffic Networks, which provides a complete characterization of all flows that can be attained as Wardrop equilibria when assigning a single price to each externality.