Chaos Theory
The study of dynamic systems that are highly sensitive to initial conditions, leading to unpredictable behavior.
The study of dynamic systems that are highly sensitive to initial conditions, leading to unpredictable behavior.
A cognitive bias where people attribute group behavior to the characteristics of the group members rather than the situation.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides.
A principle stating that as investment in a single area increases, the rate of return on that investment eventually decreases.
Garbage In-Garbage Out (GIGO) is a principle stating that the quality of output is determined by the quality of the input, especially in computing and data processing.
Information Visualization (InfoVis) is the study and practice of visual representations of abstract data to reinforce human cognition.
The ability to identify and interpret patterns in data, often used in machine learning and cognitive psychology.
The act of persuading individuals or organizations to act in a certain way based on moral arguments or appeals.
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.