Ryan C. Godwin , Jennifer J. DeBerry , Brant M. Wagener , Dan E. Berkowitz , Ryan L. Melvin
{"title":"利用引导式生成人工智能软件为拨款起草提供支持","authors":"Ryan C. Godwin , Jennifer J. DeBerry , Brant M. Wagener , Dan E. Berkowitz , Ryan L. Melvin","doi":"10.1016/j.softx.2024.101784","DOIUrl":null,"url":null,"abstract":"<div><p>Grant writing is a time-consuming and labor-intensive process that is the essential mechanism by which most academic researchers fund their scientific investigations. To support this effort, we present a software application with corresponding source code that provides draft sections of a typical NIH-style grant to expedite the time to a first draft. The software provides draft grant text, affording researchers extra time to optimize the content and improve the probability of an award. There are three main components to the software: 1) a search and compare tool that compares the proposed research to previously funded <span>NIH</span> applications, 2) a specific aims page drafter, and 3) a research strategy section that incorporates significance, innovation, approach, rigor, and preliminary data. Our initial internal software deployment has been well received, and researchers indicate significant perceived time savings when using this tool.</p></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352711024001559/pdfft?md5=833b09c5254faa12fdfae3ac7cea8347&pid=1-s2.0-S2352711024001559-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Grant drafting support with guided generative AI software\",\"authors\":\"Ryan C. Godwin , Jennifer J. DeBerry , Brant M. Wagener , Dan E. Berkowitz , Ryan L. Melvin\",\"doi\":\"10.1016/j.softx.2024.101784\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Grant writing is a time-consuming and labor-intensive process that is the essential mechanism by which most academic researchers fund their scientific investigations. To support this effort, we present a software application with corresponding source code that provides draft sections of a typical NIH-style grant to expedite the time to a first draft. The software provides draft grant text, affording researchers extra time to optimize the content and improve the probability of an award. There are three main components to the software: 1) a search and compare tool that compares the proposed research to previously funded <span>NIH</span> applications, 2) a specific aims page drafter, and 3) a research strategy section that incorporates significance, innovation, approach, rigor, and preliminary data. Our initial internal software deployment has been well received, and researchers indicate significant perceived time savings when using this tool.</p></div>\",\"PeriodicalId\":21905,\"journal\":{\"name\":\"SoftwareX\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2352711024001559/pdfft?md5=833b09c5254faa12fdfae3ac7cea8347&pid=1-s2.0-S2352711024001559-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SoftwareX\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352711024001559\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711024001559","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
Grant drafting support with guided generative AI software
Grant writing is a time-consuming and labor-intensive process that is the essential mechanism by which most academic researchers fund their scientific investigations. To support this effort, we present a software application with corresponding source code that provides draft sections of a typical NIH-style grant to expedite the time to a first draft. The software provides draft grant text, affording researchers extra time to optimize the content and improve the probability of an award. There are three main components to the software: 1) a search and compare tool that compares the proposed research to previously funded NIH applications, 2) a specific aims page drafter, and 3) a research strategy section that incorporates significance, innovation, approach, rigor, and preliminary data. Our initial internal software deployment has been well received, and researchers indicate significant perceived time savings when using this tool.
期刊介绍：
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
