Science was not always communicated through papers, journals, and peer review. Its journey from live demonstrations witnessed by a few to a global publishing system reveals how the very infrastructure designed to protect scientific knowledge became one of science's most contested institutions.
Samujjal Bhattacharjee| September 2, 2026
Post Doctorate · School of Biochemical Engineering, Indian Institute of Technology
Banaras Hindu University, Varanasi-221005, India
For the first few centuries of modern empirical research, science was an observer sport. When a natural philosopher discovered a physical law or encountered a biological curiosity, the evidence was often presented before an audience. Scientific knowledge was demonstrative and it depended on a physical setting, instruments, witnesses, and a live performance. Today, the situation is almost the opposite. Scientific discovery is communicated primarily through structured manuscripts, peer review, journals, and increasingly complex publishing systems. How did science move from the intimate world of live demonstrations to a global academic publishing industry? The answer lies in a centuries-long effort to solve four fundamental problems: scale, priority, validation, and professional recognition.
In the 16th and 17th centuries, the credibility of a scientific claim was closely tied to eyewitness testimony. The Royal Society of London, founded in 1660, adopted the principle Nullius in verba- “take nobody’s word for it.” Experiments had to be witnessed. A prism had to be placed in the path of light; the response of Mimosa pudica to touch had to be demonstrated before an audience. This model created trust among those present, but it could not scale. Geography was the first limitation. A scholar in Paris could not easily verify an experiment performed in London. Replication was also difficult because descriptions circulated through private correspondence without consistent standards. Most importantly, demonstrations were ephemeral. Once an experiment ended, the evidence existed largely in the memories and notes of those who had witnessed it. As the scientific community expanded, knowledge could no longer remain confined to an “invisible college” of scholars who could meet in person.
A major transformation came in March 1665 with the launch of the Philosophical Transactions of the Royal Society, widely regarded as the first scientific journal. Henry Oldenburg, its founding editor, transformed scientific demonstrations and correspondence into durable textual records. Experiments, observations, letters, and illustrations could now circulate beyond the room in which they had originally been presented.
For the life sciences, this created a kind of virtual laboratory. Detailed anatomical illustrations and microscopic observations, such as those published by Robert Hooke in Micrographia, allowed scholars to examine evidence without being physically present. Print also addressed another fundamental problem that is priority. Scientific discoveries could be disputed when there was no reliable public record of who had made an observation first. The controversy surrounding calculus and the competing claims of Isaac Newton and Gottfried Wilhelm Leibniz illustrates the problem. Published scientific records provided a dated and public mechanism for establishing intellectual priority. The scientific paper was therefore more than a communication tool. It became a durable record of observation, evidence, and authorship.
As science became a professional enterprise rather than primarily a pursuit of wealthy amateurs, its methods of communication also became more standardized. By the late 19th and early 20th centuries, scientific journals increasingly adopted the familiar IMRAD structure:
• Introduction: What is the problem?
• Methods: How was it investigated?
• Results: What was found?
• Discussion: What do the findings mean?
This structure transformed the paper into a portable experimental record. A researcher no longer needed to watch an experiment being performed. In principle, a sufficiently detailed Methods section allowed another scientist to reproduce it elsewhere. The scientific article had become a virtual laboratory.
Until the Second World War, scientific publishing was largely organized by learned societies and academic institutions. The post-war expansion of publicly funded research changed this landscape dramatically. Scientific output increased rapidly, and traditional societies struggled to handle the growing volume of manuscripts. Commercial publishers entered this expanding market and built increasingly specialized journal portfolios. Scientific publishing acquired a powerful economic characteristic: researchers and universities had a strong need for access to the literature, regardless of the rising cost.
Over time, the publishing system became deeply institutionalized. Today, researchers depend on publishers not only for dissemination but also for peer review, indexing, digital archiving, metadata, and persistent identifiers such as DOIs. At the same time, publication itself became a central currency of academic life. Hiring, promotion, tenure, and research funding are often influenced by publication records, citation counts, and journal-level metrics such as the Journal Impact Factor. The system that was originally designed to communicate scientific knowledge consequently became intertwined with professional advancement.
Science moved from witnessed demonstrations to durable written records and, eventually, a global publishing system shaped by peer review, dissemination, and career metrics. The emerging open-science ecosystem seeks to close the loop by making scientific evidence more accessible, inspectable, reproducible, and collaborative.
This evolution has brought enormous benefits, but it has also created serious tensions. One is the cost of access. Paywalls can restrict access to publicly relevant research, while article-processing charges in some open-access journals can place substantial financial burdens on researchers and institutions with limited resources. A second problem is the pressure created by “publish or perish.” When career progression depends heavily on publication, researchers may feel incentivized to prioritize novel, positive, and attention-grabbing findings over replication, negative results, and slower forms of rigorous inquiry. This pressure can also create conditions in which questionable research practices become more attractive. In the life sciences, concerns include selective reporting, inappropriate image manipulation, data duplication, and the removal or reinterpretation of inconvenient observations.
Peer review itself is not immune. Reviewers are frequently unpaid and overextended, while editors must process rapidly growing numbers of submissions. These pressures can make the system inconsistent and can reinforce existing academic hierarchies. The central problem is not that scientific publishing exists. It is that the mechanisms for communicating science have become tightly coupled to commercial incentives and career metrics.
The interconnected pressures arising from restricted access and high publication costs, “publish or perish” incentives, novelty-driven evaluation, questionable research practices, increasing demands on reviewers and editors, and entrenched academic hierarchies.
Digital technology now offers an opportunity to reconsider this model. Preprints have already separated dissemination from formal journal publication. Platforms such as bioRxiv allow researchers to make findings publicly available before conventional peer review, establishing priority while inviting broader scrutiny.
New approaches to peer review are also emerging. Platforms such as Review Commons and Peer Community In (PCI) offer journal-independent evaluation, while open reviews can make the reasoning behind scientific judgments more visible. The scientific record itself is becoming richer. Videographic publications can demonstrate experimental procedures that are difficult to communicate adequately through text alone. Repositories can link articles to raw datasets, analytical code, and other research outputs, allowing readers to inspect not only conclusions but also the evidence and processes behind them. Post-publication review further expands this scrutiny. Platforms such as PubPeer enable researchers to raise questions about published work, including potential problems in data and images. Scientific validation can therefore become a continuing process rather than an event that ends when a paper is accepted.
The transition from the physical demonstration to the printed paper was driven by a genuine need that is science had to scale. But the publishing infrastructure that solved the problem of scale has itself become part of the problem. The emerging digital ecosystem offers a possible correction. Videographic methods, open data, preprints, transparent peer review, and post-publication scrutiny can reconnect scientific communication with its empirical foundations. The goal should not be to abandon journals or peer review. It should be to make scientific knowledge more open, inspectable, reproducible, and collaborative.
The principle that guided early scientific communities remains remarkably relevant: Nullius in verba-take nobody’s word for it.