GSTDTAP  > 资源环境科学
DOI10.1016/j.tree.2017.08.012
Transformative Research Is Not Easily Predicted
Gravem, Sarah A.; Bachhuber, Silke M.; Fulton-Bennett, Heather K.; Randell, Zachary H.; Rickborn, Alissa J.; Sullivan, Jenna M.; Menge, Bruce A.
2017-11-01
发表期刊TRENDS IN ECOLOGY & EVOLUTION
ISSN0169-5347
EISSN1872-8383
出版年2017
卷号32期号:11
文章类型Review
语种英语
国家USA
英文摘要

Transformative research (TR) statements in scientific grant proposals have become mainstream. However, TR is defined as radically changing our understanding of a concept, causing a paradigm shift, or opening new frontiers. We argue that it is rarely possible to predict the transformative nature of research. Interviews and surveys of 78 transformative ecologists suggest that most TR began with incremental goals, while transformative potential was recognized later. Most respondents thought TR is unpredictable and should not be prioritized over 'incremental' research that typically leads to breakthroughs. Importantly, TR directives might encourage scientists to overstate the importance of their research. We recommend that granting agencies (i) allocate only a subset of funds to TR and (ii) solicit more realistic proposal statements.


领域资源环境
收录类别SCI-E
WOS记录号WOS:000413231900008
WOS关键词ECOLOGY ; CLIMATE ; COMPLEXITY ; SCIENCE ; WOLVES
WOS类目Ecology ; Evolutionary Biology ; Genetics & Heredity
WOS研究方向Environmental Sciences & Ecology ; Evolutionary Biology ; Genetics & Heredity
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/27567
专题资源环境科学
作者单位Oregon State Univ, Integrat Biol Dept, 3029 Cordley Hall, Corvallis, OR 97331 USA
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GB/T 7714
Gravem, Sarah A.,Bachhuber, Silke M.,Fulton-Bennett, Heather K.,et al. Transformative Research Is Not Easily Predicted[J]. TRENDS IN ECOLOGY & EVOLUTION,2017,32(11).
APA Gravem, Sarah A..,Bachhuber, Silke M..,Fulton-Bennett, Heather K..,Randell, Zachary H..,Rickborn, Alissa J..,...&Menge, Bruce A..(2017).Transformative Research Is Not Easily Predicted.TRENDS IN ECOLOGY & EVOLUTION,32(11).
MLA Gravem, Sarah A.,et al."Transformative Research Is Not Easily Predicted".TRENDS IN ECOLOGY & EVOLUTION 32.11(2017).
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