Measuring impact of academic research in computer and information science on society

Koya, Kushwanth and Chowdhury, Gobinda; (2020) Measuring impact of academic research in computer and information science on society. In: APIT 2020. ACM International Conference Proceeding Series . Association for Computing Machinery, IDN, pp. 78-85. ISBN 9781450376853 (https://doi.org/10.1145/3379310.3379312)

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Abstract

Academic research in computer & information science (CIS) has contributed immensely to all aspects of society. As academic research today is substantially supported by various government sources, recent political changes have created ambivalence amongst academics about the future of research funding. With uncertainty looming, it is important to develop a framework to extract and measure the information relating to impact of CIS research on society to justify public funding, and demonstrate the actual contribution and impact of CIS research outside academia. A new method combining discourse analysis and text mining of a collection of over 1000 pages of impact case study documents written in free-Text format for the Research Excellence Framework (REF) 2014 was developed in order to identify the most commonly used categories or headings for reporting impact of CIS research by UK Universities (UKU). According to the research reported in REF2014, UKU acquired 83 patents in various areas of CIS, created 64 spin-offs, generated £857.5 million in different financial forms, created substantial employment, reached over 6 billion users worldwide and has helped save over £1 billion Pounds due to improved processes etc.To various sectors internationally, between 2008 and 2013.

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