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Generative artificial intelligence in EU Grant WritingPeter Trkman
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The presentation "AI in EU Grant Writing" by Dr. Peter Trkman and Dr. Luka Tomat focuses on the integration of generative artificial intelligence (GenAI) tools into the process of writing grant applications, particularly in the context of EU-funded projects. It was delivered as part of a workshop held at the University of Ljubljana and is based on the authors¡¯ extensive experience¡ªover 80 workshops since late 2023.
The presentation begins by clarifying what GenAI is and what it is not. It explains how large language models (LLMs) work, including tokenization, vector embedding, and self-attention mechanisms. It introduces major LLMs such as GPT-4, Claude, Grok, Gemini, and others, along with an extensive list of tools built on top of these models.
The core of the presentation is practical. It explores how GenAI can assist in the preparation of grant applications, from generating project summaries and activity plans to producing ethics statements and evaluation responses. Concrete examples are given from Erasmus+ mobility forms, national project applications, and fictional debates using actual EU evaluation criteria.
The authors explain that GenAI is most useful for tasks requiring large volumes of content, knowledge synthesis, translation to various audiences, second opinions, and early drafting. However, they emphasize that it should not be used when accuracy is paramount or when ethical implications are significant. Instead, it is best seen as a complementary tool that boosts productivity, especially for those less experienced in writing.
The presentation includes broader reflections on how GenAI is reshaping research practices and the labor market, with references to studies showing that GenAI often outperforms human analysts in certain tasks and that its emotional support capabilities rival those of trained therapists.
Specific tools for grant writing are introduced, such as DeepRFP, Grantable, and GrantedAI, along with general tools like ChatGPT, Copilot, and Perplexity. The presenters also advocate for long-term structural change in the grant system¡ªstreamlining processes to eliminate the need for GenAI use altogether. Until then, they argue, one must ¡°play the game¡± and use these tools effectively while maintaining academic integrity.
The closing message is clear: while GenAI tools offer powerful support, responsible use and a focus on substance over form remain essential. Peter and Luka invite further contact for tailored workshops and note that all content is based on their personal experience and research, not confidential material.Expert Odoo support services (1).pdf
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