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This paper aims to explore the development and application of place crowd safety management tools for areas of public assembly and major events, from a practitioner perspective.

The crowd safety risk assessment model is known as design, information, management-ingress, circulation, egress (DIM-ICE) (Still, 2009) is implemented to optimise crowd safety and potentially throughput. Three contrasting case studies represent examples of some of the world’s largest and most challenging crowd safety projects.

The paper provides some insight into how the DIM-ICE model can be used to aid strategic planning at major events, assess potential crowd risks and to avoid potential crowd safety issues.

It provides further clarity to what effective place management practice is. Evidence-based on the case studies demonstrates that the application of the DIM-ICE model is useful for recognising potential place crowd safety issues and identifying areas for require improvement.

Crowd science is an emerging field of research, which is primarily motivated by place crowd safety issues in congested places; the application and reporting of an evidence-based model (i.e. DIM-ICE model) add to this. The paper addresses a research gap related to the implementation of analytic tools in characterising place crowd dynamics.

Calls for the development and dissemination of evidence-based programs to support children and families have been increasing for decades, but progress has been slow. This paper aims to argue that a singular focus on evaluation has limited the ways in which science and research is incorporated into program development, and advocate instead for the use of a new concept, “scientific accompaniment,” to expand and guide program development and testing.

A heuristic is provided to guide research–practice teams in assessing the program’s developmental stage and level of evidence.

In an idealized pathway, scientific accompaniment begins early in program development, with ongoing input from both practitioners and researchers, resulting in programs that are both effective and scalable. The heuristic also provides guidance for how to “catch up” on evidence when program development and science utilization are out of sync.

While implementation models provide ideas on improving the use of evidence-based practices, social service programs suffer from a significant lack of research and evaluation. Evaluation resources are typically not used by social service program developers and collaboration with researchers happens late in program development, if at all. There are few resources or models that encourage and guide the use of science and evaluation across program development.

The purpose of this paper is to explore what happens when changes to clinical practice are proposed and introduced in healthcare organisations. The authors use the implementation of Treatment Escalation Plans to explore the dynamics shaping the translational journey of a complex intervention from research into the everyday context of real-world healthcare settings.

A qualitative instrumental collective case study design was used. Data were gathered using qualitative interviews (n = 36) and observations (n = 46) in three English acute hospital trusts. Normalisation process theory provided the theoretical lens and informed data collection and analysis.

While each organisation faced the same translational problem, there was variation between settings regarding adoption and implementation. Successful change was dependent on participants' ability to manage and shape contexts and the work this involved was reliant on individual capacity to create a new, receptive context for change. Managing contexts to facilitate the move from research into clinical practice was a complex interactive and iterative process.

The paper advocates a move away from contextual factors influencing change and adoption, to contextual patterns and processes that accommodate different elements of whole systems and the work required to manage and shape them.

The paper addresses important and timely issues of change in healthcare, particularly for new regulatory and service-oriented processes and practices. Insights and explanations of variations in implementation are revealed which could contribute to conceptual generalisation of context and implementation.