The field of digital transformation and smart governance is rapidly evolving, with a focus on developing innovative solutions to improve public sector services and smart governance platforms. Recent research has emphasized the importance of semantic knowledge management, object-centric process mining, and data valuation and monetization in achieving this goal. The development of new technologies such as electro-permanent magnet connectors and sensor-based pothole detection systems is also expected to play a key role in advancing the field. Furthermore, the integration of artificial intelligence, digital twins, and machine learning is becoming increasingly important for enabling predictive and adaptive risk management in waterborne transport systems and other critical infrastructure. Noteworthy papers in this area include the proposal of a novel Representation Disentanglement approach for public sector knowledge representation, and the development of a systematic mapping study on smart cities modeling approaches. Additionally, the introduction of a new fundamental theory of modeling discrete systems, such as the Heraklit modeling framework, is expected to address the challenges of the digital age.