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http://nopr.niscpr.res.in/handle/123456789/67583Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Srivastava, Preeti | - |
| dc.contributor.author | Bandyopadhyay, Debashis | - |
| dc.date.accessioned | 2026-04-01T05:15:38Z | - |
| dc.date.available | 2026-04-01T05:15:38Z | - |
| dc.date.issued | 2026-01 | - |
| dc.identifier.issn | 2278-2796 (Online) ; 2278-2788 (Print) | - |
| dc.identifier.uri | http://nopr.niscpr.res.in/handle/123456789/67583 | - |
| dc.description | 68-81 | en_US |
| dc.description.abstract | Artificial intelligence (AI) has emerged as a major enabler of R&D governance and project management. Using a data-intensive approach, it aims to address issues of project choice, risk mitigation, optimal resource allocation etc thereby enhancing efficiency. In the present paper we have attempted to evaluate AI application in R&D governance in the global vis-à-vis national perspectives; and to underline its key strengths, weaknesses and applicability. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | NIScPR-CSIR,India | en_US |
| dc.source | JST Vol-14(01) Jan-Mar | en_US |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | R&D Governance | en_US |
| dc.subject | Funding Agencies | en_US |
| dc.title | Artificial Intelligence and the Future of R&D Governance | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.56042/jst.v14i1.28870 | en_US |
| Appears in Collections: | JST Vol-14(01) Jan-Mar | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JST Vol-14(01) 67-81.pdf | 173.42 kB | Adobe PDF | View/Open |
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