Smart government relies both on the application of digital technologies to enable citizen's participation in order to achieve a high level of citizen centricity and on data-driven decision making in order to improve the quality of life of citizens. Data-driven decisions in turn depend on accessible and reliable datasets, which open government and social media data are likely to promise. The SmartGov project uses digital technologies by integrating open and social media data in Fuzzy Cognitive Maps to model real life problems and simulate different scenarios leading to better decision making. This research performed a multiple-case analysis in two pilot cities. Both municipalities use the technologies to find the best routes: Limassol to improve the garbage collection and Quart de Poblet to improve the walking routes of chaperones guiding children to school. The article proposes a generic framework for Smart City Governance focusing on the inputs and outcomes of this process in the use of technologies for policy making built based on the analysis of the SmartGov.

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Based on the open source software model successful and sophisticated software projects were realized. Part of the success stems from the power mobilized through the worldwide collaboration of experts, leading to a decreasing complexity of problems and the sharing of workload in a straightforward manner. This idea forms the basis for a collaboration model for courseware constructors. The model discusses the dynamic network organization based on trust and the underlying technical and organizational framework for sharing pedagogical learning objects within a larger group of like-minded contributors.

The evaluation and assessment of project results and their impact are still a recurring challenge in the digital government discipline. Many technologically driven projects or products have faced challenges, where the technology is advanced, but the market adoption and user acceptance are still lacking. To counter these challenges, this paper presents a transdisciplinary evaluation framework and how it could be applied. The foundation for the evaluation framework was a literature review on the most recent and relevant academic publications on transdisciplinary evaluations, which was narrowed down by using selected relevant search terms. This theoretical background was enhanced by a series of practical workshops to validate the findings. By using a transdisciplinary approach, this paper presents a transdisciplinary evaluation framework that enhances the evaluation process of project results in the digital government discipline with six pillars to reflect (1) the real word context, (2) interdisciplinary research, (3) going beyond science, (4) interaction (5) integration, and (6) relevance. Alongside these pillars, dimensions of measurement for the evaluation are also presented and elaborated on. While this evaluation framework could be adopted for many types of projects or products, this paper showcases how it is applied for an international digital government pilot research project throughout its development process. It presents the methodology and process used in establishing the evaluation framework, the evaluation framework itself, and a short discussion.