Ren, Jing, Shi, Yajie, Shatte, Adrian, Kong, Xiangjie, and Xia, Feng (2022) The Significance and Impact of Winning an Academic Award: A Study of Early Career Academics. In: Proceedings of ACM/IEEE Joint Conference on Digital Libraries. From: JCDL 2022: ACM/IEEE Joint Conference on Digital Libraries, 20-24 June 2022, Cologne, Germany.

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Abstract

Academic award plays an important role in an academic’s career, particularly for early career academics. Previous studies have primarily focused on the impact of awards conferred to academics who have made outstanding contributions to a specific research field, such as the Nobel Prize. In contrast, this paper aims to investigate the effect of awards conferred to academics at an earlier career stage, who have the potential to make a great impact in the future. We devise a metric named Award Change Factor (ACF), to evaluate the change of a recipient’s academic behavior after winning an academic award. Next, we propose a model to compare award recipients with academics who have similar performance before winning an academic award. In summary, we analyze the impact of an award on the recipients’ academic impact and their teams from different perspectives. Experimental results show that most recipients do have improvements in both productivity and citations after winning an academic award, while there is no significant impact on publication quality. In addition, receipt of an academic award not only expands recipients’ collaboration network, but also has a positive effect on their team size.

Item ID:	81623
Item Type:	Conference Item (Research - E1)
ISBN:	978-1-4503-9345-4
Keywords:	Productivity; Measurement; Human computer interaction; Social computing; Nobel Prize; Engineering profession; Collaboration
Copyright Information:	© 2020 by the Association for Computing Machinery
Date Deposited:	01 May 2024 01:02
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4608 Human-centred computing > 460899 Human-centred computing not elsewhere classified @ 50% 46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460502 Data mining and knowledge discovery @ 50%
SEO Codes:	22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220499 Information systems, technologies and services not elsewhere classified @ 100%
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