Science, Technology and Society

By the end of the material you should be able to:
- Discuss historical interactions between science, technology, and society.
- Explain how scientific and technological developments affect both society and the environment.
- Identify major paradigm shifts throughout history (e.g., Agricultural Revolution, Copernican Revolution, Industrial Revolution, Information Age, Biotechnology/Nanotechnology revolutions).

Definition & Core Idea
- Human attempt to understand the natural world, regardless of immediate practical use.
- Concerned with discovering facts and relationships and building theories that explain them.
- Encompasses “any system of knowledge” about the physical world that relies on unbiased observation and systematic experimentation.
Epistemological Premises
- Relies on sensory data (direct or through instruments) as valid evidence about the universe.
- Operates under specific rules: repeatability, peer review, falsifiability.
- Always open to revision; creativity and imagination remain central despite methodological rigor.
Branches / Natural Taxonomy
- Physical Sciences: physics, astronomy, chemistry, geology, metallurgy.
- Biological Sciences: zoology, botany, genetics, paleontology, molecular biology, physiology.
- Psychological/Social Sciences: psychology, anthropology, sociology, (sometimes) economics.
Hierarchy of the Sciences (Scale-of-the-Universe diagram)
- From smallest formal/logical constructs to social systems, each level builds on the previous.
- Approximate diameter-of-phenomena mapping:
- $10^{-10}\,\text{m}$ (atomic scale) → Chemistry/Physics.
- $10^{-6}\,\text{m}$ (cell scale) → Cellular Biology.
- $10^{0}\,\text{m}$ (human scale) → Physiology, Psychology.
- $10^{3}\,\text{m}$ and above → Sociology, Anthropology.

Canonical Loop (5 + 1 steps)
1. Make an observation.
2. Ask a question.
3. Form a hypothesis (testable explanation).
4. Make a prediction.
5. Test the prediction via experiment/observation.
6. Iterate: refine hypotheses, generate new questions.
Visual model → Observation → Question → Hypothesis → Experiment → Result → Conclusion (feeds back).
Science as knowledge = results that survive continuous cycling through this loop.

Definition & Core Idea
- Greek roots: techne (art/craft) + logos (subject/interest).
- Human attempt to change the world by creating products, tools, techniques, and procedures that employ scientific findings for practical ends.
- Products emerge from imagination → design → redesign → deployment.
- Ultimate purpose: improve quality of life.
Examples Mentioned
- Smartphones, laptops, electrical appliances, industrial machinery.

Complementary but distinct motives
- Science → seeks knowledge ("explores for the purpose of knowing").
- Technology → seeks utility ("explores for the purpose of making something useful").
Bidirectional Causality
- Scientific breakthroughs drive new technologies (e.g., quantum mechanics → semiconductors).
- Available technology shapes the questions scientists can feasibly ask (e.g., Hubble telescope enabling cosmology questions).
Engineers translate scientific insights into tangible products; experimental scientists rely on engineered instruments (e.g., particle accelerators).
Without science, technological progress stalls; without technology, modern science experiments become impossible.

Alter how people live, connect, communicate, transact; huge economic repercussions.
Act as key drivers of development; underpin advances in health, education, and infrastructure.
21st-century revolutions stem from microprocessors, telecommunications, biotechnology, nanotechnology.
Products transform business practices; greatest breakthroughs arise when technologies converge (e.g., IoT + AI + biotech).
Possess the power to improve lives of the global poor.
Serve as differentiators between countries that successfully tackle poverty and those that lag.
Act as engines of economic growth.
Enable frontier interventions: cognitive enhancement, proton-beam cancer therapy, genetic engineering, etc.

Working Definition
- Sum total of human interactions; collective attempts to “figure things out and make things.”
- A group sharing geographic/social territory and common political authority & cultural expectations.

Field that analyzes how society, politics, and culture shape scientific research & technological innovation and how those endeavours, in turn, reshape society.
Foundational Assumptions
- Science and technology are intertwined.
- Both are profoundly social and political activities (funding, regulation, cultural values).

Positive Potentials
- Labor-saving devices free humans to pursue ethics, aesthetics, education, justice.
- Medical advances increase life expectancy; information tech democratizes knowledge.
Ambivalent / Context-Dependent Outcomes
- Environmental degradation, ethical dilemmas (AI bias, genetic privacy).
- Social stratification through unequal tech access ("digital divide").
Feedback Loop
- Society exerts influence via priorities, funding, regulation, public opinion, activism.
- Pressure groups and prevailing values steer research emphasis (e.g., green energy, stem-cell restrictions).

Science → informs → Technology (scientific knowledge applied).
Technology → alters → Society (new behaviors, capabilities).
Society → demands/resources → Science & Technology (funding, ethical constraints).

Agricultural Revolution → sedentary societies, surplus food, social stratification.
Copernican / Scientific Revolution → heliocentrism, experimental inquiry.
Industrial Revolution → mechanization, urbanization, capitalist economies.
Information Age → digital computers, Internet, global connectivity.
Biotechnology & Nanotechnology Era → gene editing, nano-materials, personalized medicine.

Ethics: How far should gene editing go? How to balance privacy against public safety in surveillance tech?
Equity: Ensuring technological benefits reach developing nations; mitigating digital divides.
Sustainability: Aligning innovation with environmental stewardship (e.g., renewable energy).
Governance: Role of policy in directing R&D toward societal good; precautionary vs. pro-innovation stances.

Scale hierarchy uses powers of ten (e.g., $10^{-10}$ to $10^{3}$ meters) to map scientific disciplines to physical size domains.

Science seeks to know; technology seeks to do; society provides the context, needs, and constraints.
The triad is locked in continuous feedback: advances in one domain ripple through the others.
Understanding STS equips citizens and professionals to navigate and shape a world increasingly defined by rapid scientific and technological change.