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Science is a human endeavor and, therefore, is a subject to emotions, dreams, and sometimes sincere errors - misconceptions. The dream about a perpetual motion machine is an example of a die-hard misconception. Back in 1494, Leonardo da Vinci wrote: “Oh ye seekers after perpetual motion, how many vain chimeras have you pursued? Go and take your place with the alchemists.” Since then, fundamental laws of physics have confirmed that the dream about perpetual motion machine is nothing, but a dream. Nevertheless, each year the U.S. Patent and Trademark Office receives dozens of applications for invention of perpetual motion machines.
There is similar die-hard misconception in the area of biodetection - the dream about label-free detection. Unlike the perpetual motion, the idea of label-free detection is not prohibited by hard science; it does not contradict to fundamental laws of physics. Moreover, label-free methods have been successfully applied for the detection of biomolecules with concentrations down to micro-molar level (10-6 mol/liter). For molecular diagnostics, however, one needs a biodetection method, which is capable of measuring concentration of biomolecules down to femptomolar (10-15 mol/liter). Many of established and emerging molecular markers operate at very low level of concentrations. In certain cases, the limit of detection at attomolar (10-18 mol/liter) level is necessary. Many clinically important protein, nucleic acid, and metabolite molecular markers are present at the level 10-15 -10-17 mol/liter. The purpose of this web page is to draw your attention to the fact that label-free detection in principle is not capable of attaining the level of detection 10-15 -10-17 mol/liter, which is necessary for accurate molecular diagnostics. Below, we will show that the idea of label-free molecular diagnostics is nothing, but an unrealistic dream, similar to the dream about the perpetual motion machine. More>>>
Research funding and reward structure contributes to formation “science bubbles”
Published 25 November 2013 in Homeland Security News Wire.
Fashions in research funding, reward structures in universities, and streamlining of scientific agendas undermine traditional academic norms and may result in science bubbles. New research shows how the mechanisms that set off the financial crisis might be replicating in the field of science. The prevailing scientific reward structure thus amplifies social phenomena like “pluralistic ignorance” and “lemming effects,” which have been shown to have significant impact on information processing and assessment in populations of interacting persons — including in one of the most rational enterprises of modern social life.
Fashions in research funding, reward structures in universities, and streamlining of scientific agendas undermine traditional academic norms and may result in science bubbles. Research from the University of Copenhagen, which has just been published in the journal Philosophy and Technology, shows how the mechanisms that set off the financial crisis might be replicating in the field of science.
“In finance, the first condition for a bubble occurs when too much liquidity is concentrated on too few assets. The second is the presence of speculators. In science, similarly, if too much research funding is focused on too few research topics, and all researchers speculate in the same fashionable scientific templates to attract funding, a potential science bubble may be forming,” professor of Formal Philosophy Vincent F. Hendricks from University of Copenhagen explains.
A University of Copenhagen release reports that in the article “Science Bubbles,” just published in Philosophy and Technology, Hendricks and postdoc David Budtz Pedersen trace the mechanisms that can result in science bubbles. They point to the past decade’s massive investments in cognitive neuroscience as a potential bubble — culminating with President Barack Obama’s recent endorsement of the one billion dollar Brain Activity Map Project and the European Commission’s 500 million euro Human Brain Project.
“These investments have been preceded by a dramatic rise in fields that attach “neuro” to some human behavior or trait with promises that the techniques of neuroscience will explain it — and into game-changing explanations of the human mind,” Budtz Pedersen says, adding that studies have shown that peer reviewers and lay citizens are more likely to find explanations of e.g. psychological phenomena more convincing when they contain neuroscientific information, even when it is not relevant to the explanation.
Incentive structures pull researchers in the same direction
Budtz Pedersen and Hendricks show how the “breakthroughs” and “turning points” promised by many neuroscience projects — when combined with the fact that recent studies indicate a number of neuroscience publications seem to lack the statistical power to back their findings — have the potential to become a fully-fledged science bubble. In other words: the value of the neuroscientific promises and the investments made in them may turn out to bear no relation to the actual value of the scientific results.
A central cause of this is, according to Budtz Pedersen and Hendricks, the institutional design and incentive structures within science funding and research management, where traditional scientific incentives such as academic capital and reputation are being replaced by monetary incentives and competition.
“Numerous international studies of research management document how many Western universities have set up financial incentives and reward systems to encourage researchers to publish in high-impact journals on popular topics that generate research funding. This means that researchers often will have very little interest in spending time on problems that break away from mainstream or do not lead to publishable results, and they will tend to they dress their research claims up in ways that appeal to policy makers and external evaluators,” Hendricks points out.
The structural reforms of research management may, Budtz Pedersen and Hendricks continue, thus amplify social phenomena like “pluralistic ignorance” and “lemming effects,” which have been shown to have significant impact on information processing and assessment in populations of interacting persons — including in one of the most rational enterprises of modern social life.
“Even in the highly rationalized science community, people are susceptible to a social-psychological phenomenon like pluralistic ignorance, where every researcher and policymaker individually may doubt the promises made by a particular research program but also wrongly believe that everybody else is convinced of its robustness; so they all end up collectively supporting a dubious program which subsequently receives generous funding,” professor Hendricks says and concludes:
“When researchers choose to ignore their private information and instead mimic the actions of researchers before them, they initialize a so-called lemming effect in which everybody publishes in the same journals and applies for funding for the same type of projects. Such a scientific bubble will eventually bust when the programs’ scientific explanations are put to the test, but the problem is that they may already have drained the research system from resources. And then the system will be faced with an investor confidence crisis.”
The research is part of the Humanomics Research Center at the University of Copenhagen.
Read more in David Budtz Pedersen and Vincent F. Hendricks, “Science Bubbles,” Philosophy & Technology (November 2013) (DOI:10.1007/s13347-013-0142-7)
If you are an U.S. Government administrator, manager, program director, or a biodetection scientist, you must read the entire web page on the Misconception of Label-Free Biodetection to minimize the wasting of U.S. Taxpayers’ money. If you are a scientist, an administrator, an investor, or a member of biodetection community, you will benefit from reading the web page on limited capabilities of label-free detection to make intelligent choices in your professional activities.