1: What is Big Data?
How do we measure the size of data and what constitutes "Big"?
How do we measure the size of data and what constitutes "Big"?
What are pros and cons of small-scale versus large-scale approaches in psychology?
Let's compare the limited samples tested in most psychological research to our idealized populations.
New methods in data scraping are promoting the creation of large, open stimulus sets.
Online experiments are promoting a new way to collect Big Data.
New developments in AI are presenting new ways to analyze complex human data.
Crowd-sourcing human intuition is another valuable way to understand naturalistic data.
Many apps can serve as pre-existing sources of rich cognitive data.
New sensing technologies lets us link the body with the mind.
Brain imaging results in big data about the brain.
Natural language processing (NLP) lets us turn conversations into numbers.
Social network analyses let us understand how multiple minds interact.