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<p>The Italian National Recovery and Resilience Plan (PNRR), launched in January 2021, channels EU funds from the Next Generation EU program to support Italy’s post-Covid recovery. From the outset, its implementation has encountered major challenges due to the administrative and organizational demands on recipient entities, many of which lack sufficient expertise. To help, philanthropic organizations have provided training, capacity-building, and tailored support. However, new issues—especially delays in publishing funding calls—have created a widespread impasse, threatening to undermine such efforts. This study explores whether these delays stem from insufficient skills among staff or other causes. Using data from the Next Generation WE project, led by the Compagnia di San Paolo Foundation, we analysed 148 organizations from Northwestern Italy. About 40%—mostly those in final projecting phases—were still awaiting funding calls. We examined this 40%, focusing on two factors: project complexity (technological and managerial) and staff participation in training. A rigorously trained generative AI, using the SMART-E framework, scored each proposal on these dimensions. Results were statistically compared using point biserial correlation. Findings partially support the initial hypothesis: there is a slight inverse correlation between staff training and stalled funding calls. However, neither technological complexity nor managerial difficulty consistently predicts which projects remain unfunded. Thus, the root causes of the delays likely lie beyond the technical or organizational characteristics of the projects themselves.</p>

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“Private philantropy supporting the implementation of next generation EU in Italy: a generative artificial intelligence study”

  • 期刊论文

  • 发表日期：

    2025年8月20日

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  • Renato Roda

摘要

The Italian National Recovery and Resilience Plan (PNRR), launched in January 2021, channels EU funds from the Next Generation EU program to support Italy’s post-Covid recovery. From the outset, its implementation has encountered major challenges due to the administrative and organizational demands on recipient entities, many of which lack sufficient expertise. To help, philanthropic organizations have provided training, capacity-building, and tailored support. However, new issues—especially delays in publishing funding calls—have created a widespread impasse, threatening to undermine such efforts. This study explores whether these delays stem from insufficient skills among staff or other causes. Using data from the Next Generation WE project, led by the Compagnia di San Paolo Foundation, we analysed 148 organizations from Northwestern Italy. About 40%—mostly those in final projecting phases—were still awaiting funding calls. We examined this 40%, focusing on two factors: project complexity (technological and managerial) and staff participation in training. A rigorously trained generative AI, using the SMART-E framework, scored each proposal on these dimensions. Results were statistically compared using point biserial correlation. Findings partially support the initial hypothesis: there is a slight inverse correlation between staff training and stalled funding calls. However, neither technological complexity nor managerial difficulty consistently predicts which projects remain unfunded. Thus, the root causes of the delays likely lie beyond the technical or organizational characteristics of the projects themselves.