Category Archives: ST&I policy

International Boundary Organisationsand the Knowledge-Governance Interface

Abstract

Deliberation on Science, Technology, and Innovation (STI) for global grand challenges
takes place within International Organisations, where complexity, uncertainty, and
value divergence complicate traditional notions of the science-policy interface. This
thesis argues that the Knowledge-Governance Interface (KGI) better captures the
reciprocal and power-laden relations between knowledge and decision making. It
develops an analytical framework for studying KGIs within International Boundary
Organisations (IBOs), institutions that mediate between communities through the co
production of knowledge and social order. The framework is applied, through mixed
methods, to negotiations under the Convention on Biological Diversity (CBD) on
benefit-sharing for Digital Sequence Information (DSI), to examine how divergences
emerge, are mediated and negotiated within an IBO. The empirical chapters
conceptualise DSI as a boundary object whose interpretive flexibility enables
coordination across divergent communities, and trace its emergence and dynamics via
documentary and bibliometric analysis. Subsequent chapters use participant
observation and 35 interviews to show that divergences in knowledge and values
surface through the provision of a deliberative forum, and are shaped by uneven
knowledge politics. Mediation occurs not through deliberative consensus, but through
layered accessibility, the use of DSI as a strategic boundary object, and broader
organisational dynamics, producing anticipatory responses in the wider knowledge
control regime. Findings identify dilemmas that IBOs must navigate, including
balancing broad participation with focused consensus building, and leveraging
strategic ambiguity while anticipating the need for an eventual definition of DSI, each
shaped by formal and informal institutional processes. Despite these tensions, IBOs
remain imperfect yet essential venues for deliberation on STI, enabling stakeholders to
articulate concerns, negotiate conflicts, and shape governance regimes. Accordingly,
the thesis recommends reflexive and anticipatory workshops focused on the identified
dynamics and dilemmas, together with capacity building for policy-relevant knowledge
production on DSI. It makes three contributions. It proposes the KGI analytical
framework, demonstrates its empirical utility, and offers practical insights for
international STI governance.

For FULL-TEXT: International Boundary Organisations and the Knowledge-Governance Interface

Author(s): Adam R. McCarthy

Organization(s): The University of Manchester

Source: A thesis submitted to The University of Manchester for the degree of Doctor of Philosophy

Year: 2025

How does Regulatory Uncertainty Shape the Innovation Process? Evidence from the Case of Nanomedicine

This study investigates the effect of regulatory uncertainty on the translation of scientific discovery on emerging research topics to technical applications in science-driven industry. Our empirical analysis using the case of the US Federal Drug and Food Administration’s release of the report on the regulatory approach to nanomedicine in 2007 shows that; (1) the regulatory uncertainty decelerated the translation of nanomedicine research to technical applications, (2) this effect was particular for the nanomedicine research on emerging topics in the field. Our further analysis suggested that the effect of the regulatory uncertainty originated from the suppressed business activities in the field where the regulatory uncertainty presents. Contributions to the literature on the relationship between governmental regulation and innovation and the implication for science policymakers are discussed.

https://doi.org/10.5465/AMBPP.2022.62

Author(s): Seokbeom Kwon, Jan Youtie, Alan Porter, Nils Newman
Organization(s): Sungkyunkwan University, Georgia Institute of Technology, Search Technology
Source: Academy of Management Proceedings Volume 2022 [Best Papers], [Journal of Technology Transfer (submitted)]
Year: 2022

Policy interactions with research trajectories: The case of cyber-physical convergence in manufacturing and industrials

From the early 2010s, policymakers and firms in advanced industrial economies began introducing approaches to systemically exploit manufacturing and industrial data using the notion of cyber-physical convergence. Three innovation concepts have been especially highlighted: Smart Manufacturing, the Industrial Internet and Industrie 4.0. In parallel, academics have employed these concepts in numerous ways to advance their work. Despite this broad interest, precise definition and delineation of the cyber-physical convergence research domain have received little attention. Also missing is systematic knowledge on the interactions of these concepts with research trajectories. This paper fills these gaps by operationalising a newly constructed definition of convergence, and delineating the associated research domain into five data-centric capabilities: Monitoring, Analytics, Modelling and Simulation, Transmission and Security. A bibliometric analysis of the domain is then performed for 2010–2019. There are three findings. First, Analytics and Security have assumed strategic positions within the domain, coinciding with a “strategic turn” in policy. Second, backed by concerted policy and funding efforts, growth in Chinese scientific output has outpaced key competitors, including the U.S. and Germany. Finally, the patterns of promoting their works in terms of the three concepts differ significantly amongst U.S.-, Germany- and China-based authors, which mirrors the different policy discourses prevalent in those countries.

https://doi.org/10.1016/j.techfore.2021.121347

Author(s): Tausif Bordoloi, Philip Shapira, Paul Mativeng
Organization(s): The University of Manchester, University of Johannesburg
Source: Technological Forecasting and Social Change
Year: 2022

A methodology for identifying breakthrough topics using structural entropy

This research uses link prediction and structural-entropy methods to predict scientific breakthrough topics. Temporal changes in the structural entropy of a knowledge network can be used to identify potential breakthrough topics. This has been done by tracking and monitoring a network’s critical transition points, also known as tipping points. The moment at which a significant change in the structural entropy of a knowledge network occurs may denote the points in time when breakthrough topics emerge. The method was validated by domain experts and was demonstrated to be a feasible tool for identifying scientific breakthroughs early. This method can play a role in identifying scientific breakthroughs and could aid in realizing forward-looking predictions to provide support for policy formulation and direct scientific research. Notes on methodology: First, text data were imported into Clarivate’s Derwent Data Analyzer, and the multi-word list in the field of “combined keywords + phrase” was selected as the field-of-topic term. The list in the “combined keywords + phrase” field was extracted from titles…

Highlights

Identifying a scientific breakthrough early and helping to establish forward-looking predictions.

Depicting the non-linear characteristics of complex knowledge networks through structural changes.

Regarding the knowledge network as a complex system from a holistic perspective.

Observing the incubation mechanism of emergent scientific breakthroughs from a dynamic evolutionary perspective.

https://doi.org/10.1016/j.ipm.2021.102862

Author(s): Haiyun Xu, Rui Luo, Jos Winnink, Chao Wang, Ehsan Elahi
Organization(s): Shandong University of Technology, Jiangsu Academy of Agricultural Sciences, Leiden University
Source: Information Processing & Management
Year: 2021

Public innovation: what it is and how it happens through i-Labs

The complexity involved in the solution for public issues requires innovation. Despite the importance, there is little research to translate theories into practice. The aim of this paper is to investigate innovation for public issues through public innovation laboratories (i-Labs). To achieve this, a systematic literature review from documents published since 2004 up to 2019 in Web of Science® was carried out. Data mining software Vantage Point® and Vosviewer® and qualitative analysis software MAXQDA® were used to study 275 articles. Results show the need to deepen in the construction of the public innovation theory through the development of longitudinal studies. The study also found that it is possible to generate public innovation by the integration of; in the laboratory: co-creation, collaborative innovation, experimentation, public-private partnership and citizen participation.

https://www.inderscienceonline.com/doi/abs/10.1504/IJWET.2021.117771

Author(s): Lizeth Fernanda Serrano-Cárdenas, Yessika Lorena Vásquez González, Flor Nancy Díaz-Piraquive
Organization(s): Universidad del Rosario, Universidad de Bogotá Jorge Tadeo Lozano, Fundación Universitaria Internacional de La Rioja UNIR
Source: International Journal of Web Engineering and Technology
Year: 2021

The effect of competitive public funding on scientific output: A comparison between China and the EU

Public funding is believed to play an important role in the development of science and technology. However, whether public funding and, in particular, competitive funding from public agencies actually helps to increase scientific output (i.e. publications) remains a matter of debate. By analysing a dataset of co-publications between China and the EU and a dataset of joint project collaborations in European Framework Programs for Research and Innovation [FP7 and Horizon 2020 (H2020)], we investigate whether different public funding agencies’ competitive assets have different impact on the volume of publication output. Our results support the hypotheses that competitively funded research output varies by funding sources, so that a high level of funding does not necessarily lead to high scientific output. Our results show that FP7/H2020 funded projects do not have a positive contribution to the output of joint publications between China and the EU. Interestingly, cooperation in the form of jointly writing proposals to these EU programmes, especially when they are not granted by the European Commission, can contribute significantly to joint scientific publications in a later stage. This applies in particular to cases where funding from China is involved. Our findings highlight the key role that funding agencies play in influencing research behaviour. Our results indicate that Chinese funding triggers a high number of publications, whereas research funded by the EU does so to a much lower extent, arguably due to the EU’s strong focus on social impact and its funding schemes as tools to promote European integration.

https://doi.org/10.1093/reseval/rvaa023

Author(s): Lili Wang, Xianwen Wang, Fredrik Niclas Piro, Niels J Philipsen
Organization(s): Maastricht University, Dalian University of Technology, Nordic Institute for Studies in Innovation, Erasmus University Rotterdam
Source: Research Evaluation
Year: 2020

Neglected tropical diseases in Brazil: lack of correlation between disease burden, research funding and output

Objectives
To assess the correlation between the burden of seven priority neglected tropical diseases (NTDs) included in the Brazilian National Agenda of Priorities in Health Research – tuberculosis, Chagas disease, leprosy, malaria, leishmaniasis, dengue and schistosomiasis – and their respective research funding and output.

Methods
This retrospective review obtained data on disease burden from the Global Burden of Disease Study and funding data from open access sources. Publications were retrieved from Scopus and SciELO, and characterised according to the type of research conducted. Correlation between funding, research output and burden was assessed by comparing the ‘expected’ and ‘observed’ values for funding and publications relative to the proportional burden for each disease.

Results
There was an emphasis in basic biomedical research (average 30% of publications) and a shortage of health policy and systems (average 7%) and social sciences research (average 3%). Research output and funding were poorly correlated with disease burden. Tuberculosis, Chagas disease and schistosomiasis accounted for more than 75% of total NTD‐related DALYs, but accounted for only 34% of publications. Leprosy, leishmaniasis and malaria, together, received 49% of NTD‐related funding despite being responsible for only 9% of DALYs.

Conclusions
The analysis evidenced a lack of correlation between disease burden, research output and government funding for priority NTDs in Brazil. Our findings highlight the importance of monitoring health needs, research investments and outputs to inform policy and optimise the uptake of evidence for action, particularly in developing countries, where resources are scarce and the research capacity is limited. The results contribute to health policy by highlighting the need for improving coordination of scientific activities and public health needs for effective impact.

https://doi.org/10.1111/tmi.13478

Author(s): Bruna de Paula Fonseca, Priscila Costa Albuquerque, Fabio Zicker
Organization(s): Oswaldo Cruz Foundation (Fiocruz)
Source: Tropical Medicine & International Health
Year: 2020

Parallel or Intersecting Lines? Intelligent Bibliometrics for Investigating the Involvement of Data Science in Policy Analysis

Efforts to involve data science in policy analysis can be traced back decades but transforming analytic findings into decisions is still far from straightforward task. Data-driven decision-making requires understanding approaches, practices, and research results from many disciplines, which makes it interesting to investigate whether data science and policy analysis are moving in parallel or whether their pathways have intersected. Our investigation, from a bibliometric perspective, is driven by a comprehensive set of research questions, and we have designed an intelligent bibliometric framework that includes a series of traditional bibliometric approaches and a novel method of charting the evolutionary pathways of scientific innovation, which is used to identify predecessor–descendant relationships in technological topics. Our investigation reveals that data science and policy analysis have intersecting lines, and it can foresee that a cross-disciplinary direction in which policy analysis interacting with data science has become an emergent area in both communities. However, equipped with advanced data analytic techniques, data scientists are moving faster and further than policy analysts. The empirical insights derived from our research should be beneficial to academic researchers and journal editors in related research communities, as well as policy-makers in research institutions and funding agencies.

10.1109/TEM.2020.2974761

Author(s): Yi Zhang, Alan L. Porter, Scott Cunningham, Denise Chiavetta, Nils Newman
Organization(s): University of Technology Sydney, Search Technology Inc., University of Strathclyde
Source: IEEE Transactions on Engineering Management
Year: 2020

Do national funding organizations properly address the diseases with the highest burden? – Observations from China and the UK (Full-Text)

Recent years have witnessed an incipient shift in science policy from a focus mainly on academic excellence to a focus that also takes into account “societal impact”. This shift raises the question as to whether medical research has given proper attention to the diseases imposing the greatest burden on society. Therefore, with the aim of identifying correlations between research funding priorities and public demand in health, we examine grants issued by the major medical research funding bodies of China and the UK during the decade 2006-2017 and compare the focus of their funded projects with the diseases that carry the highest burden of death, risk, or loss of health. The results indicate that the funding decisions of both nations do correspond to the illnesses with the highest health impact on their citizens. For both regions, the greatest health concerns surround non-communicable diseases, and neoplasms and cardiovascular disease in particular. In China, national health priorities have remained focused on these illnesses for the benefit of its own population, whereas the UK has funded a wider variety of research, extending to projects with impacts outside its borders to some developing countries. Additionally, despite an increased incidence of mental illness and HIV/AIDs in China, there is evidence that less priority has been given to these conditions. Both of these health areas seem to require more attention from China’s national funding agencies and the society in general. Methodologically, this study can serve as an example of how to conduct analyses related to public health issues by combining informetric methods and data with data and tools from other fields, thereby inspiring other scientometrics studies.

For FULL-TEXT download at DOI: 10.31219/osf.io/ckpf8

Author(s): Lin Zhang, Wenjing ZHAO, Jianhua Liu, Gunnar Sivertsen, Ying HUANG
Organization(s): Wuhan University, KU Leuven, Beijing Wanfang Data Ltd., Nordic Institute for Studies in Innovation Research and Education (NIFU)
Source: SocArXiv
Year: 2020

The relation between research priorities and societal demands: The case of rice (FULL-TEXT)

To what extent is scientific research related to societal needs? To answer this crucial question systematically we need to contrast indicators of research priorities with indicators of societal needs. We focus on rice research and technology between 1983 and 2012. We combine quantitative methods that allow investigation of the relation between ‘revealed’ research priorities and ‘revealed’ societal demands, measured respectively by research output (publications) and national accounts of rice use and farmers’ and consumers’ rice-related needs. We employ new bibliometric data, methods and indicators to identify countries’ main rice research topics (priorities) from publications. For a panel of countries, we estimate the relation between revealed research priorities and revealed demands. We find that, across countries and time, societal demands explain a country’s research trajectory to a limited extent. Some research priorities are nicely aligned to societal demands, confirming that science is partly related to societal needs. However, we find a relevant number of misalignments between the focus of rice research and revealed demands, crucially related to human consumption and nutrition. We discuss some implications for research policy.

As winner of the October 2019 Elsevier Atlas Award, FULL-TEXT is available at  https://doi.org/10.1016/j.respol.2018.10.027

Author(s): Tommaso Ciarli, Ismael Ràfols
Organization(s): SPRU (Science Policy Research Unit), University of Sussex; Universitat Politècnica València
Source: Research Policy
Year: 2019