1. World problems
  2. Irresponsible research

Irresponsible research

  • Negligence in research
  • Negligent researchers
  • Ivory tower irresponsibility
  • Dangerous geniuses
  • Incompetent research
  • Unregulated research
  • Mismanagement of research
  • Ineffective research

Nature

Irresponsible research refers to scientific or scholarly activities conducted without adherence to ethical, methodological, or professional standards. This problem includes practices such as data fabrication, plagiarism, lack of transparency, and failure to obtain proper consent. Irresponsible research undermines the credibility of science, misleads the public, wastes resources, and can cause harm to individuals or society. It erodes trust in research institutions and can have lasting negative impacts on policy, health, and technological progress. Addressing irresponsible research is essential to maintain integrity, reliability, and public confidence in the research enterprise.This information has been generated by artificial intelligence.

Background

The global significance of irresponsible research emerged in the mid-20th century, following high-profile cases of scientific misconduct and unethical experimentation, such as the Tuskegee Syphilis Study and falsified data in biomedical research. Growing international collaboration and the proliferation of academic publishing have since heightened awareness of the problem, prompting institutions and policymakers worldwide to scrutinize research integrity, establish oversight mechanisms, and foster dialogue on the societal consequences of compromised scientific standards.This information has been generated by artificial intelligence.

Incidence

Irresponsible research has been documented across multiple scientific disciplines and regions, with significant cases reported in biomedical, environmental, and social sciences. The problem is global in scale, affecting both developed and developing countries, and undermines public trust in science, wastes resources, and can lead to harmful policy or clinical decisions. High-profile retractions and investigations highlight the persistent and widespread nature of irresponsible research practices, including data fabrication, plagiarism, and unethical experimentation.
In 2022, a major case emerged at the University of Manchester, UK, where a prominent cancer researcher's work was retracted after an internal investigation revealed manipulated images and falsified data in several published studies.
This information has been generated by artificial intelligence.

Claim

Irresponsible research is a grave threat to scientific integrity and public trust. When researchers cut corners, falsify data, or ignore ethical standards, they endanger lives, waste resources, and undermine progress. This reckless behavior can lead to harmful policies, dangerous products, and lasting damage to society. We must treat irresponsible research as a critical problem, demanding strict accountability and unwavering commitment to honesty in all scientific endeavors. Anything less is unacceptable.This information has been generated by artificial intelligence.

Counter-claim

Irresponsible research is vastly overblown as a concern. The vast majority of researchers act ethically, and the rare instances of misconduct are sensationalized. Science is self-correcting—flawed studies are quickly exposed and corrected by the community. Worrying excessively about irresponsible research only stifles innovation and burdens honest scientists with unnecessary bureaucracy. In reality, this so-called “problem” is negligible and distracts from more pressing issues in academia and society.This information has been generated by artificial intelligence.

Broader

Danger
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Narrower

Aggravates

Aggravated by

Strategy

Researching
Presentable

Value

Unregulated
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Responsibility
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Negligence
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Mismanagement
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Irresponsibility
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Ineffectiveness
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Incompetence
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Dangerous
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SDG

Sustainable Development Goal #4: Quality EducationSustainable Development Goal #8: Decent Work and Economic Growth

Metadata

Database
World problems
Type
(C) Cross-sectoral problems
Biological classification
N/A
Subject
Content quality
Yet to rate
 Yet to rate
Language
English
1A4N
J5122
DOCID
12051220
D7NID
156409
Editing link
Official link
Last update
Nov 29, 2022