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Science

Scientific method

The Scientific Method

Also known as the scientific method, scientific process, scientific investigation, scientific methodology

This is the toolkit for telling a real result from a fluke, a bias, or a flat-out lie: you repeat the experiment, you let rivals check your work, and you try hard to prove yourself wrong. The same honesty-testing shows up when a courtroom weighs evidence in Procedure, Evidence & the Adversarial Machine (Law) and when reporters double-check a story in News, Journalism & Verification (Media). It also decides which medicines actually help patients in Medicine Beyond the Clinic (Health), and it clashes with Orthodoxy and Heresy (Religion) whenever tested facts meet inherited belief.

Put your curiosity to work

Careers in Scientific method

Roles today

  • Research Scientist

    Designs and executes experiments to test hypotheses, advancing fundamental knowledge or applied solutions.

    Skills to build

    • Experimental design
    • Statistical analysis
    • Data interpretation
    • Scientific writing
    • Laboratory techniques
  • Clinical Research Associate

    Monitors clinical trials to ensure adherence to protocols and data integrity, upholding scientific rigor in medical research.

    Skills to build

    • GCP compliance
    • Data collection
    • Regulatory affairs
    • Patient safety monitoring
    • Site management
  • Data Scientist

    Applies statistical and computational methods to large datasets, validating hypotheses and extracting actionable insights.

    Skills to build

    • Statistical modeling
    • Python/R programming
    • Machine learning
    • Hypothesis testing
    • Data visualization
  • Quality Assurance Engineer

    Develops and implements systematic testing protocols to ensure product reliability and compliance with established standards.

    Skills to build

    • Test automation
    • Root cause analysis
    • Statistical process control
    • Regulatory compliance
    • Quality management systems

Emerging roles

  • AI Ethicist

    Evaluates the ethical implications of artificial intelligence systems, often employing empirical methods to identify and mitigate bias.

    Skills to build

    • Ethical AI frameworks
    • Bias detection
    • Policy analysis
    • Stakeholder engagement
    • Machine learning principles
  • Citizen Science Coordinator

    Manages public participation in scientific research projects, ensuring data quality and methodological soundness across diverse contributors.

    Skills to build

    • Project management
    • Community engagement
    • Data validation
    • Scientific communication
    • Platform management
  • Research Data Steward

    Ensures the findability, accessibility, interoperability, and reusability of research data, upholding long-term scientific integrity.

    Skills to build

    • Data governance
    • Metadata standards
    • FAIR principles
    • Data curation
    • Repository management

Where subjects meet

  • Algorithms & Computation ↗

    Computational Scientist

    Develops and applies computational models and simulations to test complex scientific hypotheses, bridging theory and experiment.

    Skills to build

    • Scientific programming (e.g., Python, MATLAB)
    • Numerical methods
    • High-performance computing
    • Mathematical modeling
    • Algorithm development
  • News, Journalism & Verification ↗

    Fact-Checker (Science/Health)

    Systematically verifies scientific and health claims in public discourse, applying rigorous evidence-based assessment.

    Skills to build

    • Critical appraisal
    • Source verification
    • Data literacy
    • Logical reasoning
    • Scientific communication
  • Procedure & Evidence ↗

    Forensic Scientist

    Applies scientific principles and analytical techniques to examine physical evidence for legal investigations and court proceedings.

    Skills to build

    • Analytical chemistry
    • DNA analysis
    • Microscopy
    • Evidence documentation
    • Expert testimony
  • Disinformation and Elections ↗

    Misinformation Researcher

    Investigates the spread and impact of disinformation using systematic research methods, often focusing on political contexts.

    Skills to build

    • Data analytics
    • Social network analysis
    • Content analysis
    • Research methodology
    • Critical thinking

Find your direction

Compare the choices that shape this path. There is no score or single right answer.

  1. Do you prefer building ideas with numbers and models, or testing them with your hands?

    The Math & Models Path
    You'll spend your time developing theories, simulating systems, and analyzing data to understand how things *might* work, often without touching a lab bench.
    The Lab & Field Path
    You'll be designing experiments, collecting data in the real world, and directly testing hypotheses, often getting hands-on with equipment or samples.

    Both paths are crucial for scientific progress, but they demand very different day-to-day skills and environments.

  2. Are you driven by understanding for its own sake, or by solving real-world problems?

    Pure Discovery
    You'll focus on fundamental questions about how the natural world works, pushing the boundaries of knowledge without an immediate practical goal in mind.
    Applied Solutions
    You'll direct your scientific efforts towards developing new technologies, medicines, or strategies to address specific challenges in society or industry.

    Funding, job opportunities, and the pace of work can look very different depending on which path you choose.

  3. Do you want to become the expert in a tiny niche, or connect ideas across many fields?

    Specialist Deep Dive
    You'll dedicate yourself to mastering a very specific area, becoming the go-to person for complex details in a narrow scientific domain.
    Interdisciplinary Bridge
    You'll work at the intersections of different scientific fields, using a broad understanding to tackle complex problems that require multiple perspectives.

    Both are valuable, but one might lead to a more focused academic track, while the other could open doors in diverse industries like biotech or environmental science.

Where to study Scientific method

Institutions and programmes to explore. Check each institution’s current programme and entry requirements before applying.

  • Indian Institute of Science (IISc), Bangalore

    India

    A national beacon for fundamental scientific inquiry, offering unparalleled research depth.

  • Indian Institute of Technology Bombay (IIT Bombay)

    India

    A crucible of innovation, where rigorous scientific principles meet cutting-edge technological application.

  • University of Delhi

    India

    Provides accessible, foundational scientific education, fostering a wide talent pool.

  • Massachusetts Institute of Technology (MIT)

    Global

    The global benchmark for scientific and technological advancement, driving transformative discoveries.

  • University of Cambridge

    Global

    A historic powerhouse of intellectual inquiry, where foundational scientific breakthroughs have reshaped understanding.

  • ETH Zurich

    Global

    Offers world-class scientific rigor and research opportunities at a comparatively modest tuition, offset by high living costs.

  • University of California, Berkeley

    Global

    A vibrant ecosystem for scientific exploration, known for its pioneering research and entrepreneurial spirit.

  • Shiv Nadar University

    India

    B.Sc (Research) / Integrated Sciences

    A research-first private university with strong science labs.

Timeline

  • 2013The scientific method no longer features in the standards for US education of 2013 (NGSS) that replaced those of 1996 (NRC).

Read

  • The principles of scienceWilliam Stanley Jevons · 1874Book
  • An introduction to logic and scientific methodMorris Raphael Cohen · 1934Book
  • Critical thinkingMax Black · 1946Book
  • Reason and nature, an essay on the meaning of scientific methodsMorris Raphael Cohen · 1931Book

Watch

  • Feynman on Scientific Method.seabalaVideo
  • The Scientific Method: Steps, Examples, Tips, and ExerciseSproutsVideo
  • The Scientific Method: Steps, Terms and ExamplesStudy.comVideo

Listen

  • Scientific MethodSarah BatesPodcast
  • The Scientific MethodBarbara Hayes - Biology TeacherPodcast
  • The (Un)Scientific MethodThe (Un)Scientific MethodPodcast
  • The Not So Scientific MethodJamie and NoreenPodcast

Voices to follow

  • Oscar Fontanelli Espinosa@fonatelli · XPh.D. Universidad Nacional Autónoma de México 2017

Debates

  • Is the scientific method truly objective?One view: Yes, its structured steps and reliance on empirical evidence aim to minimize personal bias. · Another: No, human interpretation, choice of questions, and funding influences can introduce subjectivity.Open question
  • Should scientific research always prioritize falsifiability?One view: Yes, a theory must be testable and potentially proven false to be considered truly scientific. · Another: No, some valid scientific concepts, especially in theoretical physics, are difficult to directly falsify.Open question

Glossary

  • HypothesisA testable explanation for an observation, often an 'if-then' statement.
  • ExperimentA controlled procedure designed to test a hypothesis.
  • VariableAny factor that can change or be changed in an experiment.
  • ObservationThe act of noticing and recording something, often using senses or tools.
  • TheoryA well-substantiated explanation of some aspect of the natural world, supported by evidence.
  • DataFacts and statistics collected for analysis and reference.

Student research

Published policy papers by One Young India delegates, every delegate leaves published under their own name.

Threads 9

Where this connects to other fields, and why it's worth knowing.

  • Orthodoxy and Heresy Religion

    We imagine scientists cheerfully changing their minds when new evidence arrives. In reality the old guard often clings to their theory and treats challengers like a church treats heretics. Thinker Thomas Kuhn joked that science really advances one funeral at a time, as stubborn believers die off and fresh ones take over.

  • Entrepreneurship and New Ventures Business

    A scientist has a hunch, builds a test, checks the result, and changes their mind if they're wrong. A startup does the identical thing: the rough first product is the experiment, the sales numbers are the test, and 'pivoting' just means the results proved the founder's guess wrong. Building a company is doing science on your own idea.

  • Digital Health & Telemedicine Health

    Super-sensitive scans can spot tiny tumors so harmless you'd have died of old age never knowing they were there, yet once you know, you get surgery, worry, and side effects. So scanning everyone for everything can actually invent sick people and hurt them. Catching something 'early' isn't automatically better, sometimes the smartest move is not to look.

  • Algorithms & Computation Mathematics

    Occam's razor says the simplest explanation is usually best. Computer science makes that exact: the best theory is the shortest computer program that can spit out your data. So understanding something is really just compressing it, and 'overfitting,' a theory bloated with extra bits, is the sign you memorized instead of truly explaining.

  • News, Journalism & Verification Media

    Science journals love to publish surprising, exciting results and ignore the boring 'nothing happened' ones. So the official scientific record ends up stuffed with flukes that look more dramatic than reality. It's the same bias that makes the news misleading: if only the shocking stuff gets printed, your picture of the world gets warped, in the lab and on the front page alike.

  • Procedure & Evidence Law

    Both scientists and courtrooms face the same problem: witnesses lie, data misleads, evidence is shaky. But they solve it in opposite ways. Science makes everyone slowly agree through repeated testing; law throws two sides into combat and lets a jury pick the winner. Weirdly, the courtroom now borrows science's rulebook to decide which expert testimony even counts.

  • Religion and Science Religion

    The scientific method partly grew out of religion. Early scientists saw running experiments as 'reading God's second book' (nature), and believed the universe had lawful, discoverable order because a lawgiver made it. The hunt for the laws of physics was faith-driven before it was secular.

  • Disinformation and Elections Politics

    Casting doubt on election results and casting doubt on scientists use the exact same trick: flood people with fake uncertainty. And both fight back the same way, by having others check and repeat the work until the truth holds up.

  • English as a Global Language Literature

    Almost all science is now published in English. So a brilliant discovery written in Spanish or Mandarin can go unread and unnoticed. The world's shared language quietly decides whose evidence counts, and stacks the deck against non-native speakers.

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