Integration vs segregation: network analysis of interdisciplinarity in funded and unfunded research on infectious diseases
Integration vs segregation: network analysis of interdisciplinarity in funded and unfunded research on infectious diseases
Interdisciplinary research fuels innovation. In this paper, we examine the interdisciplinarity of research output driven by funding. Considering 36 major infectious diseases, we model interdisciplinarity through temporal correlation networks based on funded and unfunded research from 1995-2022. Using hierarchical clustering, we identify coherent periods of time or regimes characterised by important research topics like vaccinations or the Zika outbreak. We establish that funded research is less interdisciplinary than unfunded research, but the effect has decreased markedly over time. In terms of network growth, we find a tendency of funded research to focus on readily established connections leading to compartmentalisation and conservatism. In contrast, unfunded research tends to be exploratory and bridge distant knowledge leading to knowledge integration. Our results show that interdisciplinary research on prominent infectious diseases like HIV and tuberculosis tends to have strong bridging effects facilitating global knowledge integration in the network. At the periphery of the network, we observe the emergence of vaccination-related and Zika-related knowledge clusters, both with limited systemic impact. We further show that despite the surge in publications related to COVID-19, its systematic impact on the disease network remains relatively low. Overall, this research provides a generalisable framework to examine the impact of funding in interdisciplinary knowledge creation. It can assist in priority setting, for example with horizon scanning for new and emerging threats to health, such as pandemic planning. Policymakers, funding agencies, and research institutions should consider revamping evaluation systems to reward interdisciplinary work and implement mechanisms that promote and support intelligent risk-taking.
Interdisciplinary Research, Knowledge Integration, Research funding, Conservatism, Temporal Network Analysis
Du, Anbang
abc5728b-43bd-47af-920b-2ea6dfae70f2
Head, Michael
67ce0afc-2fc3-47f4-acf2-8794d27ce69c
Brede, Markus
bbd03865-8e0b-4372-b9d7-cd549631f3f7
20 December 2024
Du, Anbang
abc5728b-43bd-47af-920b-2ea6dfae70f2
Head, Michael
67ce0afc-2fc3-47f4-acf2-8794d27ce69c
Brede, Markus
bbd03865-8e0b-4372-b9d7-cd549631f3f7
Du, Anbang, Head, Michael and Brede, Markus
(2024)
Integration vs segregation: network analysis of interdisciplinarity in funded and unfunded research on infectious diseases.
Journal of Informetrics, 19 (1), [101634].
(doi:10.1016/j.joi.2024.101634).
Abstract
Interdisciplinary research fuels innovation. In this paper, we examine the interdisciplinarity of research output driven by funding. Considering 36 major infectious diseases, we model interdisciplinarity through temporal correlation networks based on funded and unfunded research from 1995-2022. Using hierarchical clustering, we identify coherent periods of time or regimes characterised by important research topics like vaccinations or the Zika outbreak. We establish that funded research is less interdisciplinary than unfunded research, but the effect has decreased markedly over time. In terms of network growth, we find a tendency of funded research to focus on readily established connections leading to compartmentalisation and conservatism. In contrast, unfunded research tends to be exploratory and bridge distant knowledge leading to knowledge integration. Our results show that interdisciplinary research on prominent infectious diseases like HIV and tuberculosis tends to have strong bridging effects facilitating global knowledge integration in the network. At the periphery of the network, we observe the emergence of vaccination-related and Zika-related knowledge clusters, both with limited systemic impact. We further show that despite the surge in publications related to COVID-19, its systematic impact on the disease network remains relatively low. Overall, this research provides a generalisable framework to examine the impact of funding in interdisciplinary knowledge creation. It can assist in priority setting, for example with horizon scanning for new and emerging threats to health, such as pandemic planning. Policymakers, funding agencies, and research institutions should consider revamping evaluation systems to reward interdisciplinary work and implement mechanisms that promote and support intelligent risk-taking.
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Integration vs segregation: network analysis of interdisciplinarity in funded and unfunded research on infectious diseases
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Accepted/In Press date: 15 October 2024
e-pub ahead of print date: 20 December 2024
Published date: 20 December 2024
Keywords:
Interdisciplinary Research, Knowledge Integration, Research funding, Conservatism, Temporal Network Analysis
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Local EPrints ID: 497339
URI: http://eprints.soton.ac.uk/id/eprint/497339
ISSN: 1751-1577
PURE UUID: 32539127-23c2-44d7-ba10-9d454806bf5d
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Date deposited: 20 Jan 2025 17:53
Last modified: 22 Aug 2025 02:37
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Author:
Anbang Du
Author:
Markus Brede
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