Peer review’s role in science, innovation and governance
Modern peer review safeguards scientific quality yet is increasingly shaped by incentives, political priorities and funding challenges.
In a nutshell
- Peer review is now science’s dominant institutional gatekeeper
- Incentive structures encourage conformity, slowing disruptive research
- Policy-linked funding may indirectly influence scientific research agendas
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Peer review is widely regarded as a cornerstone of modern science. It plays a central role in determining what research is published, which projects receive funding and ultimately which ideas shape scientific progress and political decision-making. Yet in its current form, highly formalized peer review is a relatively recent development. For much of the history of modern science − including during periods of major breakthroughs − research was evaluated primarily by editors and small scholarly networks rather than through systematic external review.
The institutionalization of peer review after World War II was closely linked to the expansion of publicly funded research and the growing scale and specialization of scientific activity. Over time, it evolved from a mechanism of quality control into a central gatekeeping institution that influences the direction of research and the allocation of resources. This raises an important question: Does the modern peer-review system still fulfill its intended role of promoting reliable and innovative scientific output, or has it introduced new constraints that may hinder discovery?
The intended function of peer review
Peer review is designed to serve as a mechanism for quality and reliability in the production of scientific knowledge. In its ideal form, it ensures that research proposals and findings are carefully evaluated by independent experts before they are published or funded. This process is meant to filter out errors, flawed methodologies and unsupported claims, thereby maintaining the integrity and reliability of scientific output.
At the core of peer review lies the problem of information asymmetry. Scientific research is often highly specialized, making it difficult for non-experts, including editors, policymakers and funding bodies, to assess its validity and significance. Peer review addresses this problem by delegating evaluation to qualified researchers in the relevant field, who are expected to possess the necessary expertise to judge the quality and originality of the work. In this sense, peer review functions as a decentralized mechanism for expert validation.
Beyond filtering, peer review is also intended to improve the quality of research. Reviewers typically provide feedback on the structure of arguments, the robustness of methods and the interpretation of results. Authors are expected to revise their work in response to these comments, leading to more rigorous methods and clearer conclusions. Ideally, this iterative process enhances both the clarity and the credibility of published research.
Peer review plays an important role in the allocation of scarce resources as well. Often, the same or similar evaluation procedures are used not only for publication decisions, but also for the distribution of research funding. Grant proposals are assessed by expert panels, which rank projects according to their perceived scientific merit and potential impact. In principle, this allows limited resources to be directed toward the most promising lines of inquiry.
It also contributes to the coordination of scientific activity. By establishing shared standards of evidence, methodology and argumentation, peer review helps structure communication within and across disciplines. Researchers can rely on published work as having passed a minimum threshold of scrutiny, which facilitates cumulative knowledge building. In this way, peer review is intended to support both the reliability and the progress of scientific research through time.
Incentives, bias and unintended consequences
While peer review is intended to ensure quality and reliability, in practice it is shaped by incentives and institutional constraints that can lead to outcomes at odds with its original purpose. As peer review has become central not only to publication but also to funding and career advancement, it increasingly influences the direction of scientific research itself.
One concern is the tendency toward risk aversion. Researchers often face strong incentives to pursue projects that are likely to be viewed favorably by reviewers, which can discourage more speculative or unconventional lines of inquiry. Work that challenges established paradigms or employs novel approaches may encounter greater resistance, not necessarily because it is flawed, but because it deviates from prevailing standards, expectations or political preferences. Over time, this can lead to a concentration of research efforts around accepted topics and methods.
Peer review may also reinforce existing hierarchies within the scientific community. Established researchers and well-known institutions often enjoy reputational advantages, whereas early-career scholars or those outside dominant networks may find it more difficult to gain recognition. Reviewers, even when acting in good faith, may rely on familiar frameworks or implicitly favor work that aligns with their own research agendas. This can limit the diversity of perspectives and approaches that enter the scientific discourse.
A further issue concerns the speed and efficiency of the process. Peer review can be time-consuming, with multiple rounds of revision delaying the dissemination of new findings. In fast-moving fields, such delays may reduce the relevance of research or slow the pace of innovation. At the same time, the increasing volume of submissions places greater demands on reviewers, potentially affecting the consistency and depth of evaluations.
The Covid-19 pandemic provided a clear illustration of the limits of peer review in high-stakes environments. On the one hand, traditional review procedures were often too slow for governments and health authorities facing urgent decisions, which increased reliance on preprints and other rapidly disseminated but not yet fully vetted research. On the other hand, the pressure for speed also led to unusually swift peer review of some highly consequential studies.
A prominent example was the Corman-Drosten PCR paper published in Eurosurveillance in January 2020. It was received on January 21, accepted on January 22 and published on January 23. This was not a unique coincidence: Studies of Covid-19 publishing found that peer review times were dramatically shortened, raising concerns about the robustness of the review process. The problem, therefore, was not merely that peer review was too slow, but that crisis conditions exposed both extremes at once – delay where speed was needed, and procedural compression where rigorous scrutiny was most important.
The close link between peer review and funding decisions amplifies these effects and introduces an additional layer of political influence. In many countries, access to research funding increasingly depends on external grants, often drawn from public sources and tied to specific policy priorities. While universities formally remain independent institutions, the growing importance of such funding creates strong incentives to align research agendas with politically defined objectives. Peer review, in this context, does not operate in a neutral environment, but becomes part of a broader system in which scientific evaluation is intertwined with policy goals and administrative criteria.
This dynamic can be observed in areas such as climate research, where a large share of funding is tied to specific policy objectives – either for or against decarbonization, energy transition and climate adaptation. Grant calls often define these priorities in advance, and peer reviewers evaluate proposals against them.
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As a result, self-censorship occurs and researchers have strong incentives to frame their projects in ways that align with established policy goals. Work that falls outside these frameworks or challenges prevailing assumptions may find it more difficult to secure funding, regardless of its scientific merit.
Consequently, political considerations can shape not only which projects receive funding, but also which topics are pursued in the first place. Researchers may adapt their proposals to align with prevailing priorities, emphasizing themes that are more likely to be supported while avoiding areas that fall outside current agendas. This dynamic risks narrowing the scope of scientific inquiry and introducing subtle forms of external control into what is nominally an independent research process. While peer review continues to serve important functions in maintaining standards, its role within funding systems raises questions about how scientific autonomy and diversity of inquiry can be preserved.
Scenarios
The future of scientific knowledge production will depend less on peer review itself than on whether institutional frameworks allow experimentation to improve evaluation mechanisms.
Most likely: Persistence of the current imperfect system
In this scenario, peer review remains the dominant mechanism for evaluating research, both for publication and funding. While incremental reforms may be introduced, such as greater transparency, faster review processes or limited use of digital tools, the basic structure of centralized evaluation endures. Universities continue to rely heavily on external funding and peer review remains closely tied to the allocation of public research resources. Existing incentive structures, including risk aversion and alignment with prevailing research agendas, are likely to remain in place. Although this system continues to produce a steady flow of scientific output, concerns about conformity, slow innovation and limited diversity of approaches are likely to persist. The likelihood of this scenario is relatively high, at 50 percent.
Less likely: Increasing centralization and politicization
In this scenario, the link between peer review and public funding becomes even stronger. Governments and funding agencies play a more active role in defining research priorities, directing resources toward politically salient areas such as climate policy, public health or strategic technologies. Peer review processes are increasingly shaped by these priorities, either through formal criteria or informal expectations.
While such coordination may improve alignment between research and policy goals, it also increases the risk that scientific agendas become more narrowly defined. Over time, this could reduce the autonomy of research institutions and limit the range of inquiry, particularly in areas that do not align with current political priorities. The likelihood of this scenario is moderate, at about 30 percent.
Least likely: Competitive and decentralized evaluation models
In this scenario, alternative models for research evaluation and funding gain importance alongside traditional peer review. Private funding sources, independent research institutions and new publication platforms create space for experimentation with different approaches to evaluating scientific work. These may include more open forms of review, post-publication evaluation or funding mechanisms that rely less on centralized assessment.
Such diversity allows different models to compete and evolve, potentially improving the speed, openness and robustness of scientific knowledge production. While peer review does not disappear, it becomes one of several mechanisms rather than the dominant gatekeeper. The likelihood of this scenario is relatively low, at 20 percent.
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