This study examines how philanthropic foundations develop innovative approaches to grant-making by collaborating with social entrepreneurs who are embedded in marginalized communities. Traditionally, foundations award grants that meet predetermined strategic objectives that support their theories of change. However, this study explores an alternative approach known as participatory grant-making, in which philanthropic foundations cede control over strategy and finance by adopting an innovative approach that is based more on trust and collaboration. By analyzing in-depth interviews from 16 executives, directors, and social entrepreneurs in the United States, we demonstrate how participatory grant-making constitutes a social innovation that inverts traditional power dynamics in the philanthropic field by enhancing legitimacy, and thereby facilitating a more interconnected, inclusive, and equitable approach to solving social problems. This article demonstrates how the implementation of participatory grant-making programs can help to counter the increasing criticisms levied at traditional approaches to grant-making.
This study provides a comprehensive analysis of the AI-related skills and roles needed to bridge the AI skills gap in Europe. Using a mixed-method research approach, this study investigated the most in-demand AI expertise areas and roles by surveying 409 organizations in Europe, analyzing 2,563 AI-related job advertisements, and conducting 24 focus group sessions with 145 industry and policy experts. The findings underscore the importance of both general technical skills in AI related to big data, machine learning and deep learning, cyber and data security, large language models as well as AI soft skills such as problemsolving and effective communication. This study sets the foundation for future research directions, emphasizing the importance of upskilling initiatives and the evolving nature of AI skills demand, contributing to an EU-wide strategy for future AI skills development.
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Over the past forty years, the use of process models in practice has grown extensively. Until twenty years ago, remarkably little was known about the factors that contribute to the human understandability of process models in practice. Since then, research has, indeed, been conducted on this important topic, by e.g. creating guidelines. Unfortunately, the suggested modelling guidelines often fail to achieve the desired effects, because they are not tied to actual experimental findings. The need arises for knowledge on what kind of visualisation of process models is perceived as understandable, in order to improve the understanding of different stakeholders. Therefore the objective of this study is to answer the question: How can process models be visually enhanced so that they facilitate a common understanding by different stakeholders? Consequently, five subresearch questions (SRQ) will be discussed, covering three studies. By combining social psychology and process models we can work towards a more human-centred and empirical-based solution to enhance the understanding of process models by the different stakeholders with visualisation.
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