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Evaluating the implications of Brexit for research collaboration and policy: a network analysis and simulation study
OBJECTIVE: To evaluate the role of the European Union (EU) as a research collaborator in the UK’s success as a global leader in healthcare research and innovation and quantify the impact that Brexit may have. DESIGN: Network and regression analysis of scientific collaboration, followed by simulation...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747879/ https://www.ncbi.nlm.nih.gov/pubmed/31506256 http://dx.doi.org/10.1136/bmjopen-2018-025025 |
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author | Garas, George Cingolani, Isabella Patel, Vanash M Panzarasa, Pietro Darzi, Ara Athanasiou, Thanos |
author_facet | Garas, George Cingolani, Isabella Patel, Vanash M Panzarasa, Pietro Darzi, Ara Athanasiou, Thanos |
author_sort | Garas, George |
collection | PubMed |
description | OBJECTIVE: To evaluate the role of the European Union (EU) as a research collaborator in the UK’s success as a global leader in healthcare research and innovation and quantify the impact that Brexit may have. DESIGN: Network and regression analysis of scientific collaboration, followed by simulation models based on alternative scenarios. SETTING: International real-world collaboration network among all countries involved in robotic surgical research and innovation. PARTICIPANTS: 772 organisations from industry and academia nested within 56 countries and connected through 2397 collaboration links. MAIN OUTCOME MEASURES: Research impact measured through citations and innovation value measured through the innovation index. RESULTS: Globally, the UK ranks third in robotic surgical innovation, and the EU constitutes its prime collaborator. Brokerage opportunities and collaborators’ geographical diversity are associated with a country’s research impact (c=211.320 and 244.527, respectively; p<0·01) and innovation (c=18.819 and 30.850, respectively; p<0·01). Replacing EU collaborators with US ones is the only strategy that could benefit the UK, but on the condition that US collaborators are chosen among the top-performing ones, which is likely to be very difficult and costly, at least in the short term. CONCLUSIONS: This study suggests what has long been argued, namely that the UK-EU research partnership has been mutually beneficial and that its continuation represents the best possible outcome for both negotiating parties. However, the uncertainties raised by Brexit necessitate looking beyond the EU for potential research partners. In the short term, the UK’s best strategy might be to try and maintain its academic links with the EU. In the longer term, strategic relationships with research powerhouses, including the USA, China and India, are likely to be crucial for the UK to remain a global innovation leader. |
format | Online Article Text |
id | pubmed-6747879 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-67478792019-09-27 Evaluating the implications of Brexit for research collaboration and policy: a network analysis and simulation study Garas, George Cingolani, Isabella Patel, Vanash M Panzarasa, Pietro Darzi, Ara Athanasiou, Thanos BMJ Open Health Policy OBJECTIVE: To evaluate the role of the European Union (EU) as a research collaborator in the UK’s success as a global leader in healthcare research and innovation and quantify the impact that Brexit may have. DESIGN: Network and regression analysis of scientific collaboration, followed by simulation models based on alternative scenarios. SETTING: International real-world collaboration network among all countries involved in robotic surgical research and innovation. PARTICIPANTS: 772 organisations from industry and academia nested within 56 countries and connected through 2397 collaboration links. MAIN OUTCOME MEASURES: Research impact measured through citations and innovation value measured through the innovation index. RESULTS: Globally, the UK ranks third in robotic surgical innovation, and the EU constitutes its prime collaborator. Brokerage opportunities and collaborators’ geographical diversity are associated with a country’s research impact (c=211.320 and 244.527, respectively; p<0·01) and innovation (c=18.819 and 30.850, respectively; p<0·01). Replacing EU collaborators with US ones is the only strategy that could benefit the UK, but on the condition that US collaborators are chosen among the top-performing ones, which is likely to be very difficult and costly, at least in the short term. CONCLUSIONS: This study suggests what has long been argued, namely that the UK-EU research partnership has been mutually beneficial and that its continuation represents the best possible outcome for both negotiating parties. However, the uncertainties raised by Brexit necessitate looking beyond the EU for potential research partners. In the short term, the UK’s best strategy might be to try and maintain its academic links with the EU. In the longer term, strategic relationships with research powerhouses, including the USA, China and India, are likely to be crucial for the UK to remain a global innovation leader. BMJ Publishing Group 2019-09-10 /pmc/articles/PMC6747879/ /pubmed/31506256 http://dx.doi.org/10.1136/bmjopen-2018-025025 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Health Policy Garas, George Cingolani, Isabella Patel, Vanash M Panzarasa, Pietro Darzi, Ara Athanasiou, Thanos Evaluating the implications of Brexit for research collaboration and policy: a network analysis and simulation study |
title | Evaluating the implications of Brexit for research collaboration and policy: a network analysis and simulation study |
title_full | Evaluating the implications of Brexit for research collaboration and policy: a network analysis and simulation study |
title_fullStr | Evaluating the implications of Brexit for research collaboration and policy: a network analysis and simulation study |
title_full_unstemmed | Evaluating the implications of Brexit for research collaboration and policy: a network analysis and simulation study |
title_short | Evaluating the implications of Brexit for research collaboration and policy: a network analysis and simulation study |
title_sort | evaluating the implications of brexit for research collaboration and policy: a network analysis and simulation study |
topic | Health Policy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747879/ https://www.ncbi.nlm.nih.gov/pubmed/31506256 http://dx.doi.org/10.1136/bmjopen-2018-025025 |
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