Odysseas Spyroglou, Cagri Uluc Yildirimoglu, A. Koumpis
{"title":"Use of AI to Help Researchers Improve their Research Funding Capacities, Relevance, and Performance","authors":"Odysseas Spyroglou, Cagri Uluc Yildirimoglu, A. Koumpis","doi":"10.1142/s1793351x22400050","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":217956,"journal":{"name":"Int. J. Semantic Comput.","volume":"152 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Semantic Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s1793351x22400050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.