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.
MULTIFILE
