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Real-time technology assessment

Guston, David H., Sarewitz, Daniel·2002·Technology in Society

Abstract

Abstract Social science scholarship has identified complex linkages between society and science, but it has been less successful at actually enhancing those linkages in ways that can add to the value and capability of each sector. We propose a research program to integrate natural science and engineering investigations with social science and policy research from the outset — what we call “real-time technology assessment” (real-time TA). Comprising investigations into analogical case studies, research program mapping, communication and early warning, and technology assessment and choice, real-time TA can inform and support natural science and engineering research, and it can provide an explicit mechanism for observing, critiquing, and influencing social values as they become embedded in innovations. After placing real-time TA in the context of scholarship on technology assessment, the paper elaborates on this coordinated set of research tasks, using the example of nano-scale science and engineering (nanotechnology) research. The paper then discusses issues in the implementation of real-time TA and concludes that the adoption of real-time TA can significantly enhance the societal value of research-based innovation.

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Metadata

Authors
Guston, D. H., & Sarewitz, D.
Venue
Technology in Society
Publisher
Elsevier BV
Published
2002-01
Volume
24
Issue
1-2
Pages
93-109
ISSN
0160-791X (ISSN-L)
OpenAlex
W2044039018
Cited by
756
References
0
FWCI
22.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Real-time technology assessment. https://app.cochat.ai/papers/10.1016/s0160-791x(01)00047-1
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Guston, D. H., & Sarewitz, D. (2002). Real-time technology assessment. Technology in Society. https://doi.org/10.1016/s0160-791x(01)00047-1

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.