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The purpose of this co-produced research project was to conduct interviews with people working in, volunteering with and accessing Canadian recovery colleges (RCs) to explore their perspectives on what an evaluation strategy for RCs could look like.

This study used a participatory action research approach and involved semistructured interviews with 29 people involved with RCs across Canada.

In this paper, the authors share insights from participants about the purposes of RC evaluation; key elements of evaluation; and the most applicable and effective approaches to evaluation. Participants indicated that RC evaluations should use a personalized, humanistic and accessible approach. The findings suggest that evaluations can serve multiple purposes and have the potential to support both organizational and personal-recovery goals if they are developed with meaningful input from people who access and work in RCs.

The findings can be used to guide evaluations in which aspects that are most important to those involved in RCs could inform choices, decisions, priorities, developments and adaptations in RC evaluation processes and, ultimately, in programming.

A recent scoping review revealed that although coproduction is a central feature of the RC model, coproduction principles are rarely acknowledged in descriptions of how RC evaluation strategies are developed. Exploring coproduction processes in all aspects of the RC model, including evaluation, can further the mission of RCs, which is to create spaces where people can come together and engage in mutual capacity-building and collaboration.

Secure mental health services in one UK region have acted within a network to develop a range of involvement practices. A new quality benchmarking tool has been created to appraise the implementation of these involvement practices. The purpose of this paper is to report upon a qualitative evaluation of this development.

Staff and service users involved in the co-production of the benchmarking tool were engaged in a series of focus groups and participatory inquiry approaches enacted in the course of scheduled network meetings. Data thus collected was subject to thematic analysis.

Four distinct themes were identified which were titled: Taking time, taking care; The value not the label; An instrument of the network; and All people working together. These are discussed in relation to recent theorising of co-production.

Effectively, this study represents a case study of developments within one region. As such, the findings may have limited transferability to other contexts.

Staff and service users can work together effectively to the benefit of each other and overall forensic services. The benchmarking tool provides a readymade mechanism to appraise quality improvements.

Despite a prevailing culture of competition in wider health-care policy, cooperation leads to enhanced quality.

The benchmarking tool is a unique development of a longstanding involvement network, demonstrating the positive implications for enacting co-production within secure services.

The purpose of the paper is to predict mapping of areas vulnerable to flooding in the Ourika watershed in the High Atlas of Morocco with the aim of providing a useful tool capable of helping in the mitigation and management of floods in the associated region, as well as Morocco as a whole.

Four machine learning (ML) algorithms including k-nearest neighbors (KNN), artificial neural network, random forest (RF) and x-gradient boost (XGB) are adopted for modeling. Additionally, 16 predictors divided into categorical and numerical variables are used as inputs for modeling.

The results showed that RF and XGB were the best performing algorithms, with AUC scores of 99.1 and 99.2%, respectively. Conversely, KNN had the lowest predictive power, scoring 94.4%. Overall, the algorithms predicted that over 60% of the watershed was in the very low flood risk class, while the high flood risk class accounted for less than 15% of the area.

There are limited, if not non-existent studies on modeling using AI tools including ML in the region in predictive modeling of flooding, making this study intriguing.

Social media is becoming more prevalent in the higher education classroom. As part of an ongoing study, the Department of Agricultural Leadership, Education, and Communications at Texas A&M University surveyed leadership students about their perceptions of their level of comfort and frequency of use of social media tools and the advantages and disadvantages that these students perceived when social media was used in the leadership classroom. A total of 79 students were surveyed in two upper level leadership courses. Facebook was the social media tool students were most comfortable with and used most frequently. Advantages included social media helping increase quality and efficiency of communication between students and the instructor, social media as a technological norm, access to class information, ease of collaboration, and stronger social connections between classmates. Disadvantages revolved around issues of use of and access to social media.