利用人工智能帮助研究人员提高其研究资助能力、相关性和绩效

Odysseas Spyroglou, Cagri Uluc Yildirimoglu, A. Koumpis
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引用次数: 0

摘要

研究人员和科学家在全球范围内面临着与他们的核心研究活动并行的越来越大的压力,需要成功地领导或参与筹款活动。该领域一直在经历激烈的竞争,提案的成功率急剧下降,而资助工具的复杂性和对与影响有关的问题的广泛理解的需要,与更广泛的国家和跨国(例如欧盟范围内)政策方面相关的研究优先事项,增加了个体研究人员和科学家的不适程度。在本文中,我们建议使用跨学科的人工智能工具来支持申请和提案准备过程中几个步骤的(半)自动化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of AI to Help Researchers Improve their Research Funding Capacities, Relevance, and Performance
Researchers and scientists face globally, and parallel to their core research activities, increased pressure to successfully lead or participate in fundraising activities. The field has been experiencing fierce competition with success rates of proposals falling dramatically down, while the complexity of the funding instruments and the need for acquiring a wide understanding of issues related to impacts, research priorities in connection to wider national and transnational (e.g. EU-wide) policy aspects, increase discomfort levels for the individual researchers and scientists. In this paper, we suggest the use of transdisciplinary AI tools to support (semi-)- automation of several steps of the application and proposal preparation processes.
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