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Concept groupings: Difference between revisions

From Sense & Sensibility & Science
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== Philosophical Underpinnings ==
== Philosophical Underpinnings ==


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''What makes science an effective way of learning about the world?''
''What makes science an effective way of learning about the world?''
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== Probabilistic Thinking ==
== Probabilistic Thinking ==


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''How can we make informed decisions using noisy and uncertain data?''
''How can we make informed decisions using noisy and uncertain data?''
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{{ConceptListItem|5.1 False Positives and Negatives}}
{{ConceptListItem|5.1 False Positives and Negatives}}


== Causation ==
== Causal Reasoning ==


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''What causes what, and how can we find out?''
''What causes what, and how can we find out?''
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== Science's Can-do Aspect ==
== Science's Can-do Aspect ==


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''How can we gain insights despite immense unknowns and conceptual and practical obstacles?''
''How can we gain insights despite immense unknowns and conceptual and practical obstacles?''
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== Human Cognition ==
== Human Cognition ==


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''What are cognitive traps that cause people to fool themselves?''
''What are cognitive traps that cause people to fool themselves?''
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== Group Decision Making ==
== Group Decision Making ==


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''How can groups make better decisions together?''
''How can groups make better decisions together?''

Latest revision as of 16:06, 17 December 2025

The concepts of the SSS curriculum can be broadly grouped into six main categories.

Philosophical Underpinnings

What makes science an effective way of learning about the world?

We begin the course by exploring how the ideals and practices of science allow us to approach increasingly accurate and complete representations of our shared material reality. The scientific community does this through empirical investigation of the world, sharing observations and ideas with each other, and continued openness to revision as new evidence emerges. Science offers particularly powerful tools for investigating causal relationships, helping us decide on courses of action that accomplish our goals.

Relevant Lessons

Probabilistic Thinking

How can we make informed decisions using noisy and uncertain data?

There are many sources of uncertainty, both in the accuracy and precision of data and in the inferences drawn from data. Scientists have developed strategies for tracking, reducing, and coping with this uncertainty, enabling us to make clearer judgments and more effective decisions even when we cannot know for sure what the outcomes will be.

Relevant Lessons

Causal Reasoning

What causes what, and how can we find out?

To make a decision, one has to know its consequences. Much of science is dedicated to finding out about "what causes what." How does science do this through direct experimentation or indirect inference? What are the different types of causation and their implications on policymaking and criminal justice?

Relevant Lessons

Science's Can-do Aspect

How can we gain insights despite immense unknowns and conceptual and practical obstacles?

Science is balanced by, on the one hand, awareness that we might at any point be mistaken, and on the other hand, optimism that if we continue iteratively investigating, we will eventually gain understanding. This can-do spirit is bolstered by strategies that help us use what we know to handle what we don't know.

Relevant Lessons

Human Cognition

What are cognitive traps that cause people to fool themselves?

Humans are prone to errors that arise from overapplied heuristics, cognitive biases, and limited processing power. Being mindful of these vulnerabilities can help us to moderate our own judgments, using cognitive and social strategies to reduce mistakes and biases.

Relevant Lessons

Group Decision Making

How can groups make better decisions together?

Group decision-making can be challenging when people disagree. However, distinguishing between facts and values, accounting for values from a variety of stakeholders, and incorporating expert judgments of fact can produce decisions based on more accurate and complete information, greater community buy-in, and more widely desirable outcomes.

Relevant Lessons