Mario López Ayala, PhD
Science advances. Power decides what becomes usable.
The world has become remarkably efficient at producing scientific knowledge. Universities publish, governments finance research, corporations transform discoveries into technologies, and ideas move across borders rapidly. Yet the central inequality may no longer be simply who produces knowledge. It may be who possesses the authority to decide what deserves attention, what counts as credible evidence and what eventually becomes usable.
Research systems distribute more than funding. They distribute visibility, legitimacy and the ability to establish scientific agendas. Publications, citations and rankings provide useful signals, but institutions still decide which questions deserve support or recognition. A problem can be socially urgent and academically marginal at the same time.
The disparities remain substantial. UNESCO reports that approximately 73 percent of countries invest less than one percent of gross domestic product in research and development, while the availability of researchers differs sharply between regions. Such figures describe unequal capacities, not unequal intelligence. Participation in global science begins from very different positions.
Research requires more than ideas. Laboratories, databases, computing infrastructure, professional networks and long-term financing determine whether a question becomes a sustained investigation. International cooperation can expand those possibilities, but partnership does not distribute authority equally. A researcher may contribute data or contextual knowledge while having less influence over analysis, publication or subsequent applications.
This is where the politics of knowledge becomes harder than the language of collaboration suggests. Scientific power is not limited to legal ownership of a patent or article. It also includes the capacity to define priorities, control infrastructure, interpret evidence and determine which findings become visible. Ownership may be less about possession than about shaping what knowledge can do.
Scientific publishing adds another layer. Researchers generate manuscripts, peer reviewers contribute expertise, universities finance much of the underlying work, and publishers provide editorial systems, distribution and preservation. These functions have real costs, yet publication and access fees can create uneven barriers. The contradiction becomes sharper when publicly supported research circulates through systems the original institutions do not fully control.
Public financing and private benefit are not inherently incompatible. Many fields require private investment to transform research into usable products. The harder question concerns how risks and rewards are distributed when public institutions finance early knowledge creation while private actors capture much of the later economic value. That balance cannot be settled by slogans about openness or innovation.
Researchers are not external to this system. Career incentives and competition for scarce resources influence where to publish, what projects to pursue and which collaborations appear strategically valuable. Most scientists do not design these incentives, but they sometimes reproduce them. A serious critique of research culture cannot place responsibility exclusively on universities, publishers or corporations.
The trajectory of doctoral research makes this visible quietly. Years may be devoted to a thesis whose methodological contribution is substantial, yet its institutional life after defense can be uncertain. Some investigations evolve; others remain dormant. This does not mean they failed, because intellectual value does not always reveal itself immediately.
There is also a distinction between access to knowledge and the capacity to absorb it. An open article may be available to a company lacking specialized personnel, a government without implementation capacity or a university without the infrastructure to reproduce its findings. Knowledge can therefore be technically accessible and practically unusable. The gap is not simply informational; it is institutional.
This matters because debates about open science can overestimate what publication alone can accomplish. UNESCO’s Recommendation on Open Science emphasizes accessibility, participation and cooperation, but removing barriers does not automatically redistribute the capabilities required to interpret and apply knowledge. Scientific inclusion requires more than access. It requires the ability to exercise judgment, challenge claims and transform evidence into locally meaningful action.
Artificial intelligence intensifies the problem while creating new opportunities. Generative systems can help researchers explore literature, analyze information and work across disciplines with capabilities that were once difficult to access. Yet advanced models, computing resources and data infrastructures remain concentrated in organizations with extraordinary technological and financial power. Researchers may gain analytical capacity while becoming more dependent on systems they neither designed nor fully understand.
The epistemic risk is subtle. Artificial intelligence can produce sophisticated language and coherent reasoning without guaranteeing that the underlying evidence is sound. Scientific responsibility cannot be delegated along with intellectual tasks. Researchers remain accountable for verifying claims, explaining methods and distinguishing computational assistance from genuine conceptual contribution.
These conditions suggest what might be called the Socially Disconnected Knowledge Paradox. It does not claim that research must immediately produce social utility, nor that highly cited science lacks value. It describes a situation in which institutions increase scientific production and visibility while the capacity to interpret, absorb and benefit from that knowledge remains unevenly distributed. More knowledge can coexist with limited social capability to act on it.
The paradox becomes useful when three dimensions are examined separately: production, absorptive capacity and distribution of benefits. A country may generate limited research but possess strong institutions capable of applying discoveries produced elsewhere. Another may produce substantial knowledge while struggling to transfer it beyond universities. A third may host major scientific activity while benefits accumulate primarily in organizations controlling patents, platforms or infrastructure.
No single metric can resolve these differences. Citations may capture scholarly influence, commercialization may indicate market value, and policy adoption may reveal institutional relevance, but each measures a different consequence. Scientific significance often unfolds over long periods and through pathways that resist prediction. Knowledge acquires value through multiple and sometimes conflicting routes.
International research therefore faces a question more difficult than how many papers countries publish. It also depends on who can decide what is researched, who possesses the infrastructure to validate it and who can convert discoveries into choices, technologies or social capabilities. Those forms of power are less visible than publication counts, but potentially more consequential. They determine not only who produces knowledge, but who can make knowledge matter.
Knowledge becomes power when the capacity to use it is distributed as seriously as the capacity to produce it.