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Improving fitness: Mapping research priorities against societal needs on obesity

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  • Lorenzo Cassi

    (OST - Observatoire des Sciences et des Techniques - HCERES - Haut Conseil de l'Évaluation de la Recherche et de l'Enseignement Supérieur, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Agénor Lahatte
  • Ismael Rafols
  • Pierre Sautier
  • Elisabeth de Turckheim

    (Délégation à l'évaluation - INRA - Institut National de la Recherche Agronomique)

Abstract

Science policy is increasingly shifting towards an emphasis in societal problems or grand challenges. As a result, new evaluative tools are needed to help assess not only the knowledge production side of research programmes or organisations, but also the articulation of research agendas with societal needs. In this paper, we present an exploratory investigation of science supply and societal needs on the grand challenge of obesity - an emerging health problem with enormous social costs. We illustrate a potential approach that uses topic modelling to explore: (a) how scientific publications can be used to describe existing priorities in science production; (b) how policy records (in this case here questions posed in the European parliament) can be used as an instance of mapping discourse of social needs; (c) how the comparison between the two may show (mis)alignments between societal concerns and scientific outputs. While this is a technical exercise, we propose that this type of mapping methods can be useful to domain experts for informing strategic planning and evaluation in funding agencies

Suggested Citation

  • Lorenzo Cassi & Agénor Lahatte & Ismael Rafols & Pierre Sautier & Elisabeth de Turckheim, 2017. "Improving fitness: Mapping research priorities against societal needs on obesity," PSE-Ecole d'économie de Paris (Postprint) hal-01629960, HAL.
    • Handle: RePEc:hal:pseptp:hal-01629960
    DOI: 10.1016/j.joi.2017.09.010
    Note: View the original document on HAL open archive server: https://hal.science/hal-01629960v1
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    1. Andy Stirling, 2007. "A General Framework for Analysing Diversity in Science, Technology and Society," SPRU Working Paper Series 156, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Theresa Velden & Kevin W. Boyack & Jochen Gläser & Rob Koopman & Andrea Scharnhorst & Shenghui Wang, 2017. "Comparison of topic extraction approaches and their results," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1169-1221, May.
    3. Cassi, Lorenzo & Lahatte, Agénor & Rafols, Ismael & Sautier, Pierre & de Turckheim, Élisabeth, 2017. "Improving fitness: Mapping research priorities against societal needs on obesity," Journal of Informetrics, Elsevier, vol. 11(4), pages 1095-1113.
    4. Rafols, Ismael & Ciarli, Tommaso & Chavarro, Diego, 2015. "Under-reporting research relevant to local needs in the global south. Database biases in the representation of knowledge on rice," SocArXiv 3kf9d, Center for Open Science.
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    Cited by:

    1. Zhang, Lin & ZHAO, Wenjing & Liu, Jianhua & Sivertsen, Gunnar & HUANG, Ying, 2020. "Do national funding organizations properly address the diseases with the highest burden? - Observations from China and the UK," SocArXiv ckpf8, Center for Open Science.
    2. Lin Zhang & Wenjing Zhao & Jianhua Liu & Gunnar Sivertsen & Ying Huang, 2020. "Do national funding organizations properly address the diseases with the highest burden?: Observations from China and the UK," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1733-1761, November.
    3. Chavarro, Diego & Taborda, Jaime Andres Perez & Ávila, Alba, 2021. "Connecting brain and heart: artificial intelligence for sustainable development," SocArXiv gj5kr, Center for Open Science.
    4. Madsen, Emil Bargmann & Aagaard, Kaare, 2020. "Concentration of Danish research funding on individual researchers and research topics: Patterns and potential drivers," SocArXiv j874c, Center for Open Science.
    5. Diego Chavarro & Jaime Andrés Perez-Taborda & Alba Ávila, 2022. "Connecting brain and heart: artificial intelligence for sustainable development," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7041-7060, December.
    6. Wallace, Matthew L. & Ràfols, Ismael, 2018. "Institutional shaping of research priorities: A case study on avian influenza," Research Policy, Elsevier, vol. 47(10), pages 1975-1989.
    7. Cassi, Lorenzo & Lahatte, Agénor & Rafols, Ismael & Sautier, Pierre & de Turckheim, Élisabeth, 2017. "Improving fitness: Mapping research priorities against societal needs on obesity," Journal of Informetrics, Elsevier, vol. 11(4), pages 1095-1113.
    8. Confraria, Hugo & Wang, Lili, 2020. "Medical research versus disease burden in Africa," Research Policy, Elsevier, vol. 49(3).
    9. Ciarli, Tommaso & Ràfols, Ismael, 2019. "The relation between research priorities and societal demands: The case of rice," Research Policy, Elsevier, vol. 48(4), pages 949-967.
    10. Anna Kiss & Péter Fritz & Zoltán Lakner & Sándor Soós, 2020. "Linking the dimensions of policy-related research on obesity: a hybrid mapping with multicluster topics and interdisciplinarity maps," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 159-213, January.
    11. Huang, Cui & Yang, Chao & Su, Jun, 2021. "Identifying core policy instruments based on structural holes: A case study of China’s nuclear energy policy," Journal of Informetrics, Elsevier, vol. 15(2).
    12. Zhang, Lin & ZHAO, Wenjing & Liu, Jianhua & Sivertsen, Gunnar & HUANG, Ying, 2020. "Do national funding organizations properly address the diseases with the highest burden? - Observations from China and the UK," SocArXiv ckpf8_v1, Center for Open Science.
    13. Diana Maynard & Benedetto Lepori & Johann Petrak & Xingyi Song & Philippe Laredo, 2020. "Using ontologies to map between research data and policymakers’ presumptions: the experience of the KNOWMAK project," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1275-1290, November.
    14. Wouter van de & Alfredo Yegros-Yegros & Tim Willemse & Ismael Rafols, 2023. "Priorities in research portfolios: exploring the need for upstream research in cardiometabolic and mental health," Science and Public Policy, Oxford University Press, vol. 50(6), pages 961-976.
    15. Madsen, Emil Bargmann & Andersen, Jens Peter, 2024. "Funding priorities and health outcomes in Danish medical research," Social Science & Medicine, Elsevier, vol. 360(C).

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