We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Open science is good for both epistemic and social reasons, but in nonobvious ways, it can have detrimental epistemic side effects. Drawing on case studies and the social epistemology of science, I show how practices intended to increase transparency, communication, and information sharing in science can backfire. We should not reject Open Science, just implement it carefully. I argue that we can do so by treating openness as a governing value in science, and thus, that our pursuit of openness needs to be balanced against our pursuit of the whole scheme of values that govern science.
Science and central, national political structures are the two greatest modern institutional forms of authority. They can sometimes align and sometimes clash. Science and technology policy has, in the UK, been seen since the twentieth century as an important lever to encourage innovation and ultimately economic growth. Some of the most challenging issues facing politicians depend, partly, on scientific understanding and advice. This chapter reviews and assesses the experience of policy-for-science and science-for-policy under the Coalition and Conservative administrations. It is a pattern of modified continuity and the articulation of the possibility of radical change. Ultimately both, in ways that will be described, were undermined by the tumultuous events of Brexit and Covid.
Although maternal, newborn, child, and adolescent health is a well-established determinant of health across the lifecourse and across generations, the underpinning concept of DOHaD has not had significant impact on policymaking. This chapter identifies some of the barriers involved and how DOHaD researchers may overcome them. Policymaking is a complex process that is influenced by many factors other than science. Translating evidence to policy requires brokerage that explains the implications of science in a clear, frank way, accompanied by impactful solutions. Yet, the largely preventive approach advocated by DOHaD science does not inherently offer simple, high-impact interventions but rather a broad shift in thinking within the policy community. DOHaD advocacy will need to demonstrate short- and medium-term, as well as long-term, benefits. A complementary approach is to engage with communities to adjust scientific ideas to local knowledge and expertise.
The body of scientific knowledge accumulated by the scholarly disciplines such as Developmental Psychopathology can achieve meaningful public impact if wielded and used in policy decision-making. Scientific study of how policymakers use research evidence underscores the need for researchers’ policy engagement; however, barriers in the academy create conditions in which there is a need for infrastructure that increases the feasibility of researchers’ partnership with policymakers. This need led to the development of the Research-to-Policy Collaboration model, a systematic approach for developing “boundary spanning” infrastructure, which has been experimentally tested and shown to improve policymakers’ use of research evidence and bolster researchers’ policy skills and engagement. This paper presents original research regarding the optimization of the RPC model, which sought to better serve and engage scholars across the globe. Trial findings shed light on ways to improve conditions that make good use of researchers’ time for policy engagement via a virtual platform and enhanced e-communications. Future directions, implications, and practical guidelines for how scientists can engage in the political process and improve the impact of a collective discipline are also discussed.
This chapter summarizes the main findings of the book, and then presents a tool called an unmet desire survey (designed based on those findings) that potential collaborators and organizational leaders can use in order to form new collaborative relationships. It also briefly discusses how the findings are helpful for forming new research partnerships, a type of formal collaboration discussed in greater detail in one of the appendices. Last, it includes several policy recommendations for how organizational leaders can put the results into practice, as well as science policy recommendations for valuable future research on the unmet desire to collaborate in civic life.
The Open Science [OS] movement aims to foster the wide dissemination, scrutiny and re-use of research components for the good of science and society. This Element examines the role played by OS principles and practices within contemporary research and how this relates to the epistemology of science. After reviewing some of the concerns that have prompted calls for more openness, it highlights how the interpretation of openness as the sharing of resources, so often encountered in OS initiatives and policies, may have the unwanted effect of constraining epistemic diversity and worsening epistemic injustice, resulting in unreliable and unethical scientific knowledge. By contrast, this Element proposes to frame openness as the effort to establish judicious connections among systems of practice, predicated on a process-oriented view of research as a tool for effective and responsible agency. This title is also available as Open Access on Cambridge Core.
Opening with a brief sketch of the evolution of research evaluation is followed by a description of the publication-oriented nature of academia today. The Introduction provides the necessary contextual information for investigating research evaluation systems. It then defines two critical blind spots in the contemporary literature on research evaluation systems. The first is the absence, within histories of the science of measuring and evaluating research, of the Soviet Union and post-socialist countries. This is despite the fact that these countries have played a key part in this history, from its very inception. The second relates to thinking about global differences in studies of the transformations in scholarly communication. It is stressed that the contexts in which countries confront the challenges of the publish or perish culture and questionable journals and conferences should be taken into account in discussions about them. Through its overview of diverse histories of evaluation and its identification of core issues in the literature, the chapter introduces readers to the book’s core arguments.
Chapter 3 presents significant new background material that is critical for understanding research evaluation systems in Central and Eastern Europe. The chapter builds from the assertion that the history of research evaluation has been written largely from a Western perspective that has neglected science in the context of the Soviet Union and Imperial Russia. As a consequence, the beginnings of the scientific organization of scientific labor and the development of scientometrics in the first half of the twentieth century are missing from the literature. Related, research evaluation systems are often incorrectly characterized as technologies which came into existence forty years ago, introducing new ways of establishing relations between the state and the public sector. Aiming to correct these oversights, the chapter provides an in-depth analysis of research evaluation within the centrally planned science of the Soviet Union and countries of the Eastern Bloc. Thus it outlines how, decades before the rise of New Public Management and the first Western European systems, centrally planned science introduced a national (ex ante) research evaluation system and assessments of research impacts.
Medical research works in trajectories. Scientists and researchers must choose to pursue certain scientific pathways and omit others, limited by resources, attention, and time. The trajectory of medical progress is therefore characterized by two crucial characteristics: rate and direction. These two components form the foundation for this book - what are the forces that determine the rate and direction of progress in medicine? This book brings together the worlds of scientific policy, economics, sociology, philosophy, and innovation to describe why the world of medical research looks the way it does. The book also addresses fundamental contemporary issues in medicine, how they influence progress, and how we might improve medical research going forward. The contemporary issues discussed include: flawed incentive structures, a concentration of power and resources among few actors and disease groups, the potential distortionary effects of lobbying by different scientific actors, and missing novelty in drug development.
Building institutional and procedural bridges between science and policy is a vital role for law. Fundamental to the success of this work is the development of more sophisticated, nuanced understandings of scientific knowledge production than those which are current in legal and policy spheres. In this paper, I consider scientific controversies that have emerged in the field of human and environmental health impacts of endocrine disrupting chemicals (EDCs), notably around methodological approaches to identifying such chemicals and analysing the risks they pose. Building on literatures in the philosophy and sociology of science, I identify bases on which bridge-building between science and policy could proceed and discuss the role that legal normativity can play in those processes.
This concluding chapter outlines the implications of the shifting scientific landscape in Asia for future generations of Asian scientists. The chapter reviews the theoretical implications of the key findings from the book, and revisits the new concepts and ideas introduced throughout the book, which have relevance for the fields of migration studies, science & technology studies and also gender studies. The chapter highlights what is yet to be studied on this topic, and lays out a future research agenda for scholars from these fields. Finally, the chapter highlights the policy implications of these developments for Asian and non-Asian countries, and ends with a set of policy recommendations for government officials and research leaders in these countries as they seek to make themselves attractive destinations for native (and nonnative) research scientists and raise their relative profile in the global scientific field.
Here we outline our aims for the book and provide a definition for the science of science. We also identify our audience – scientists and students, science administrators, and policymakers, and those already working on science of science research. We explain that the book is structured into four parts: The Science of Career, The Science of Impact, The Science of Collaboration, and an Outlook on the future of the science of science.
This study compares stem cell research policymaking by legislators and citizens in the United States. First, using exit poll results from a 2006 stem cell research initiative in Missouri, the study finds that deeply held personal values such as religious beliefs and views of abortion predominate in an individual’s voting decision on this issue; second, an analysis of voting behavior by senators on the Stem Cell Research Enhancement Act of 2005 finds that senators make their voting decisions based on their personal policy preferences rather than their constituents’ preferences; and third, the complexity of the Missouri citizen initiative is compared with that of the legislation in the U.S. Senate, finding that the language of the citizen initiative is more sophisticated than the language of the legislative act. These findings provide the context for a broader discussion of the role of citizens and legislators in making policy for science.
Agriculture provides many benefits to people, such as producing food and creating jobs in rural areas, but it can also have negative impacts on the environment. We analysed existing monitoring indicators for the European Union's Common Agricultural Policy (CAP) to evaluate whether the CAP is effectively achieving multiple social and environmental goals. We found that the current CAP monitoring system is unable to balance many potentially competing goals because its indicators are biased towards a few objectives. We suggest the European Union and its Member States adopt a broader set of indicators covering clear targets when the policy is reformed after 2020.
The innovations developed by scientists working on animal welfare are often not adopted in practice. In this paper, we argue that one important reason for this failure is that the solutions proposed do not adequately address the societal concerns that motivated the original research. Some solutions also fail because they do not adequately address perceived constraints within the industry. Using examples from our own recent work, we show how research methods from the social sciences can address both of these limitations. For example, those who persist in tail-docking cattle (despite an abundance of evidence showing that the practice has no benefits) often justify their position by citing concern for cow cleanliness. This result informs the nature of new extension efforts directed at farmers that continue to tail dock, suggesting that these efforts will be more effective if they focus on providing producers with methods (of proven efficacy) for keeping cows clean. Work on pain mitigation for dehorning shows that some participants reluctant to provide pain relief believe that the pain from this procedure is short lasting and has little impact on the calf. This result informs the direction of new biological research efforts to understand both the magnitude and duration of any suffering that result from this type of procedure. These, and other examples, illustrate how social science methodologies can document the shared and divergent values of different stakeholders (to ensure that proposed solutions align with mainstream values), beliefs regarding the available evidence (to help target new scientific research that meets the perceived gaps), and barriers in implementing changes (to ease adoption of ideas by addressing these barriers).
This article investigates the conditions under which government officials who implement policy integrate the best available science into regulatory practice. It examines the adoption of rapid wetland assessment tools, a type of science policy innovation, by street-level bureaucrats in six US Mid-Atlantic states. These bureaucrats operate in relatively opaque and discretion-laden institutional settings. The analysis of an original survey of state wetland officials shows that these officials are more likely to adopt tools when they have more opportunities to learn tool-related information and practice norms. Bureaucrats’ adoption of this class of science policy innovations appears facilitated by peer communication via network ties, on-the-job experience and incentives and disincentives associated with bureaucrats’ organisational contexts and operating environments.
Global environmental changes present unprecedented challenges to humans and the ecosystems upon which they depend. The need for interdisciplinary approaches to solve such multidimensional challenges is clear, however less clear is whether current attempts to cross disciplinary boundaries are succeeding. Indeed, efforts to further interdisciplinary approaches remain hampered by failures in assessing their scope and success. Here a set of measures examined the interdisciplinarity of the environmental sciences and tested two literature-based hypotheses: (1) newer and larger disciplines are more interdisciplinary; and (2) interdisciplinary research has lower impact factors than its counterparts. In addition, network analysis was used to map interdisciplinarity and determine the relative extent to which environmental science disciplines draw on alternative disciplinary perspectives. Contrary to expectations, age and size of a discipline had no effect on measures of interdisciplinarity for papers published in 2006, though metrics indicated larger articles and journals were more interdisciplinary. In addition, interdisciplinary research had a greater impact factor than its more strictly disciplinary peers. Network analysis revealed disciplines acting as ‘interdisciplinary frontiers’, bridging critical gaps between otherwise disparate subject areas. Whilst interdisciplinarity is complex, a combination of diversity metrics and network analysis provides valuable preliminary insights for interdisciplinary environmental research policy. The successful promotion of interdisciplinarity is needed to help dispel commonly perceived barriers to interdisciplinarity and create opportunities for such work by increasing the space available for different disciplines to encounter each other. In particular, the networks presented highlight the importance of considering disciplinary functioning within the wider context, to ensure maximum benefit to the scientific community as a whole.
Multi-disciplinary and inter-disciplinary working has for long been advocated in gerontology, and sometimes contested. Although collaboration between disciplines is common practice in many areas of ageing research, much remains to be done to develop and support such work. Internationally, funding agencies, scientific associations and other stakeholders in ageing research are actively involved in establishing the methods and means to promote cross-disciplinary co-operation in the field. In the United Kingdom (UK) since the late 1990s, the statutory Research Councils with key interests in ageing and older people have been actively pursuing research programmes that feature multi-disciplinarity and inter-disciplinarity. The National Collaboration on Ageing Research (NCAR), a partnership among four of the Research Councils to stimulate cross-disciplinary collaboration, worked with scientists, funding bodies, and research users to develop approaches to multi- and inter-disciplinary research, and their work informed the New Dynamics of Ageing (NDA) Programme, a major cross-Research Council programme of multi-disciplinary research which spans the social, medical, biological and engineering sciences and the arts and humanities. Drawing on the authors' participation in these activities, this article reviews key developments in the promotion of multi-disciplinary science on ageing in the UK and highlights how this is being pursued in the NDA Programme.
Solving complex problems in large-scale research programmes requires cooperation and division of labour. Simultaneously, large-scale problem solving also gives rise to unintended side effects. Based upon 5 years of researching two large-scale nutrigenomic research programmes, we argue that problems are fragmented in order to be solved. These sub-problems are given priority for practical reasons and in the process of solving them, various changes are introduced in each sub-problem. Combined with additional diversity as a result of interdisciplinarity, this makes reassembling the original and overall goal of the research programme less likely. In the case of nutrigenomics and health, this produces a diversification of health. As a result, the public health goal of contemporary nutrition science is not reached in the large-scale research programmes we studied. Large-scale research programmes are very successful in producing scientific publications and new knowledge; however, in reaching their political goals they often are less successful.
This study sets out to determine if the interest in and study of natural sciences is declining in western countries as scientists currently contend. Part one demonstrates how survey results reveal a decline of interest in scientific news in the EU. Part two explores the decline of interest further through examining data such as the number of students interested in scientific subjects and scientific careers. I explore the hypothesis that the lack of interest in scientific subjects is influenced by the culture of the mass media, and the manner in which the media covers scientific items. I examine a range of media outlets, from reality TV shows and TV series, to movies and the press. Many aspects of this paper have been discussed in depth in my book published in 2008: La razón estrangulada (Reason Strangled: the Crisis of Science in Contemporary Society).