This report D4.1 “Report on synthesized results for the development of future DUT programme” presentssynthesized results for the development of future DUT programme based on findings in WP4 Strategicsupport for DUT, WP1 ENUAC Cross-research Community deliverable report D1.4. “Final showcase of regional, national, European, and international projects, ideas, initiatives on the topic of accessibility and connectivity – the ENUAC projects”, WP2 Research Synthesis deliverable report D2.2. Analytical framework and methodology” and deliverable report D2.3 ”Research synthesis”. All deliverables report D4.1, D1.4 and D2.2 & D2.3 examine 15 funded ENUAC (ERA-NET Urban Accessibility and Connectivity) projects focused onaccessibility and connectivity.The findings of this report D4.1 “Report on synthesized results for the development of future DUT programme” cover text analytics, including word frequency analysis, similarity analysis, word co-occurrence analysis, unique terms identification and text gap analysis of 15 ENUAC projects proposals, progress and final reports in comparison to the “Driving Urban Transition (DUT) towards a Sustainable and Liveable Urban Future” and “JPI Urban Europe’s Strategic Research and Innovation Agenda (SRIA)” texts.Based on finding in WP4, the text analytics illustrates how these techniques enhance understanding of the project's progression, evolving focus, and alignment with DUT and SRIA objectives. Text analysis techniques improve the efficiency of processing and interpreting large volumes of project documentation. Research analysis indicates that it enables a more thorough interpretation of the project's shifting focus, aids in uncovering potential biases within the documents, and offers a clearer view of the connections and relationships across various project stages.Text-analytic methods provide a powerful framework for both pre-funding and post-funding evaluation in project analysis. Prior to any funding decision, these methods enable a rapid, data-driven analysisof project proposals against the DUT and SRIA. This pre-funding stage allows evaluators to efficiently assess proposals for compliance with strategic goals, identify thematic trends (e.g., research topics, methodologies, geographic focus), and detect potential biases or gaps in the proposed research areas. Using these techniques before funding allocation ensures that selected projects closely align with DUT and SRIA objectives.In the post-funding phase, text-analytic methods continue to be valuable for evaluating midterm and final reports. By comparing these reports to initial project goals and the DUT/SRIA frameworks, evaluators can check if the project objectives are being met and if any new research gaps or emerging themes have over time. This ongoing analysis supports strategic alignment and adaptation as projects progress.The WP4 results outline the main thematic clusters for DUT, SRIA, and ENUAC projects according to their year of implementation, along with their compliance, uniqueness, and gaps among the projects. These insights offer a clear view of project alignment and innovation both before funding decisions are made and throughout the project lifecycle.Based on finding in WP1 and WP2 the analysis of the survey responses on the practical application of project knowledge in a variety of themes was done and the potential of the ENUAC portfolio was evaluated through two main aspects. D1.4 adopts a hands-on perspective, concentrating on the practical execution of these projects, the challenges encountered, and immediate research needs. In contrast, D2.2 & D2.3 take a more strategic view, focusing on overall project structures and long-term direction. D1.4 offers immediate, project-level insights, while D2.2 & D2.3 provide recommendations for structural adjustments and future guidance.Together, D4.1, D1.4 and D2.2 & D2.3 deliver complementary perspectives, combining practical advice with strategic oversight to support effective, goal-aligned planning for future DUT projects.