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This paper describes and defends the counter-hegemonic methods applied to the investigation of a high-profile national policy for Early Education and Care (ECCE) in Ireland. The policy, the Access and Inclusion Model (AIM) seeks to ensure the full inclusion and meaningful participation of children with disabilities in mainstream, state funded ECCE. It makes a significant contribution to data and debate on how research about inclusion can become inclusion in the context of policy evaluation. The design of the policy evaluation included surveys, in depth interviews and qualitative case studies of pre-schools and children supported by AIM which were deliberately designed to be counter-hegemonic through the recruitment of practitioners as co-researchers (as expert representatives within a feminised workforce), and the use of a participative method of elicitation that sough the perspectives and lived experiences of inclusion among fourteen children supported by AIM. This method was multi-modal mapping. With a focus on these counter-hegemonic elements, the paper poses questions about how the approach was counterhegemonic in terms of its theoretical underpinning, practical approach, and outcomes. Thematic analysis of the data collected by practitioner researchers for the child case studies showed that the approach did achieve counter-hegemony through the achievement of redistribution, representation, and recognition in both the enactment of the research, and in the reporting of children’s lived experience in the study as a whole. However, the extent of counter-hegemony achieved was limited when practitioner researchers were unable to deploy the multi-modal mapping method because of limited time, or because the child was not a speaker of English or was as yet, non-speaking. In a context where policy makers have a preference for positivist and rationalist approaches to evaluating the impact of policies, we assert that research about policies for inclusion, should be enacted as inclusion and social justice through the deliberate deployment of participatory and counter-hegemonic methods. We also assert that multi-modal mapping holds particular promise for researching the lived experience of inclusion and participation from the perspective of children and argue that more work needs to be done on developing these methods so that they are effective with all children, including those who are non-speaking. Finally, we posit that Fraser’s triune model of social justice can be applied as a benchmark for designing and evaluating counter-hegemonic modii and outcomes.

In this paper, we propose a modified synthetic control causal analysis for time series data with volatility in terms of absolute value of return outcomes taken into account in constructing the prediction of potential outcomes for time series causal analysis. The consistency property of the synthetic weight parameter estimators is developed theoretically under a time series data-generating process framework. The application to evaluate the UK’s mini-budget policy, announced by the then Chancellor on 23 September 2022, which had significant implications for the stock market, is examined and analysed. Comparisons with traditional synthetic control and synthetic difference in difference (DID) methods for evaluation of the effect of the mini-budget policy on the UK’s stock market are also discussed.

The Sustainable Development Goals, adopted by all United Nations Member States, emphasize sustainable cities and communities, aiming to strengthen development planning and foster positive links between urban and rural areas by 2030. As the newly leading platform for urbanization development, characteristic towns (‘Tese Xiaozhen’ in Chinese) contribute to the target of sustainable urbanisation, wherein town policies are especially important for leading the sound development of characteristic towns. However, the effect of these characteristic towns policies remains uncertain. Additionally, most related studies have utilized qualitative methodologies in policy evaluation, which may be inadequate to guide actual practice. Thus, in order to accurately acknowledge the effect of characteristic towns policies, a policy evaluation framework is established in this paper, utilising the multiple streams theory, text mining and the Policy Modelling Consistency Index model (PMC-Index model). Then, taking 225 policy documents promulgated in China from 2015 to 2022 as the research objects, policy evaluation indicators were selected by combining the multiple streams theory to improve the PMC-Index model and a text mining method. Thereafter, an empirical analysis was conducted to evaluate the consistency of 10 characteristic towns policies chosen. The results indicate that the mean value of the PMC indexes of the 10 examined policies is 7.13 in the total of 9 points, which means that the general performance of the characteristic town policies is satisfactory, yet the low scores in terms of effectiveness, content, and guarantee. In the end, some recommendations and suggestions are proposed for clarifying administrative attributes, optimizing the integration of urban and rural resources, and adjusting the policy hierarchy to a bottom-up approach. This study not only provides a policy evaluation framework to comprehensively understand the consistency of global urbanization policies but also offers a beneficial reference for promote urban–rural sustainable development.

Despite the promising outcomes achieved over time in Asset Management, data accessibility, correlation, analysis, and visualization still represent challenges. The integration, readability, and interpretation of heterogeneous information by different stakeholders is a further concern, especially at the urban scale, where spatial data integration is required to correlate virtual information with the real world. The Geographic Information System (GIS) allows these connections, representing and digitizing extensive areas with significant benefits for asset analysis, management, and decision-making processes. Such benefits are central for managing large and widespread university campuses as they are comparable to small cities, covering a wide urban region and including resources highly integrated into the urban context. The paper presents how GIS integrated into Business Intelligence (BI) tools can support university Asset Management System (AMS) creation for the optimal use of resources, illustrating the University of Turin case study. The results discussion considers the relationship between the different elements of the assets and their synergy with the city. It focuses on four themes, dealing with the asset identification of buildings and resources, especially the educational ones, asset spatiotemporal evolution, and buildings’ distances for proximity analysis. The benefits achievable through the AMS, related challenges, and possible future developments are highlighted.