{"title":"研究的影响有多不可预测?来自英国卓越研究框架的证据","authors":"O. Yaqub, D. Malkov, Josh Siepel","doi":"10.1093/reseval/rvad019","DOIUrl":null,"url":null,"abstract":"\n Although ex post evaluation of impact is increasingly common, the extent to which research impacts emerge largely as anticipated by researchers, or as the result of serendipitous and unpredictable processes, is not well understood. In this article, we explore whether predictions of impact made at the funding stage align with realized impact, using data from the UK’s Research Excellence Framework (REF). We exploit REF impact cases traced back to research funding applications, as a dataset of 2,194 case–grant pairs, to compare impact topics with funder remits. For 209 of those pairs, we directly compare their descriptions of ex ante and ex post impact. We find that impact claims in these case–grant pairs are often congruent with each other, with 76% showing alignment between anticipated impact at funding stage and the eventual claimed impact in the REF. Co-production of research, often perceived as a model for impactful research, was a feature of just over half of our cases. Our results show that, contrary to other preliminary studies of the REF, impact appears to be broadly predictable, although unpredictability remains important. We suggest that co-production is a reasonably good mechanism for addressing the balance of predictable and unpredictable impact outcomes.","PeriodicalId":47668,"journal":{"name":"Research Evaluation","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How unpredictable is research impact? Evidence from the UK’s Research Excellence Framework\",\"authors\":\"O. Yaqub, D. Malkov, Josh Siepel\",\"doi\":\"10.1093/reseval/rvad019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Although ex post evaluation of impact is increasingly common, the extent to which research impacts emerge largely as anticipated by researchers, or as the result of serendipitous and unpredictable processes, is not well understood. In this article, we explore whether predictions of impact made at the funding stage align with realized impact, using data from the UK’s Research Excellence Framework (REF). We exploit REF impact cases traced back to research funding applications, as a dataset of 2,194 case–grant pairs, to compare impact topics with funder remits. For 209 of those pairs, we directly compare their descriptions of ex ante and ex post impact. We find that impact claims in these case–grant pairs are often congruent with each other, with 76% showing alignment between anticipated impact at funding stage and the eventual claimed impact in the REF. Co-production of research, often perceived as a model for impactful research, was a feature of just over half of our cases. Our results show that, contrary to other preliminary studies of the REF, impact appears to be broadly predictable, although unpredictability remains important. We suggest that co-production is a reasonably good mechanism for addressing the balance of predictable and unpredictable impact outcomes.\",\"PeriodicalId\":47668,\"journal\":{\"name\":\"Research Evaluation\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2023-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research Evaluation\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1093/reseval/rvad019\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Evaluation","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1093/reseval/rvad019","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
How unpredictable is research impact? Evidence from the UK’s Research Excellence Framework
Although ex post evaluation of impact is increasingly common, the extent to which research impacts emerge largely as anticipated by researchers, or as the result of serendipitous and unpredictable processes, is not well understood. In this article, we explore whether predictions of impact made at the funding stage align with realized impact, using data from the UK’s Research Excellence Framework (REF). We exploit REF impact cases traced back to research funding applications, as a dataset of 2,194 case–grant pairs, to compare impact topics with funder remits. For 209 of those pairs, we directly compare their descriptions of ex ante and ex post impact. We find that impact claims in these case–grant pairs are often congruent with each other, with 76% showing alignment between anticipated impact at funding stage and the eventual claimed impact in the REF. Co-production of research, often perceived as a model for impactful research, was a feature of just over half of our cases. Our results show that, contrary to other preliminary studies of the REF, impact appears to be broadly predictable, although unpredictability remains important. We suggest that co-production is a reasonably good mechanism for addressing the balance of predictable and unpredictable impact outcomes.
期刊介绍:
Research Evaluation is a peer-reviewed, international journal. It ranges from the individual research project up to inter-country comparisons of research performance. Research projects, researchers, research centres, and the types of research output are all relevant. It includes public and private sectors, natural and social sciences. The term "evaluation" applies to all stages from priorities and proposals, through the monitoring of on-going projects and programmes, to the use of the results of research.