Collective Intelligence – Telegram
Collective Intelligence
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Collective intelligence (CI) is shared or group intelligence that emerges from the collaboration, collective efforts, and competition of many individuals and appears in consensus decision making.
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Taxonomy is a methodology that classifies entities and defines the hierarchical relationship among them. It’s widely used as a knowledge management system in the industry, and has proven success in improving the accuracy of the machine learning models in search, user-behavior modeling, and classification tasks.

https://medium.com/@Pinterest_Engineering/interest-taxonomy-a-knowledge-graph-management-system-for-content-understanding-at-pinterest-a6ae75c203fd
Four projects in the intellectual history of quantitative social science
1. The rise and fall of game theory.
2. The disaster that is “risk aversion.”
3. From model-based psychophysics to black-box social psychology experiments.
4. The two models of microeconomics.

https://statmodeling.stat.columbia.edu/2020/01/12/four-projects-in-the-intellectual-history-of-quantitative-social-science/
randomized controlled trial vs. front-door adjustment

In 2014, Adam Glynn and Konstantin Kashin, applied the new method to a data set well scrutinized by social scientists, called the Job Training Partnership Act (JTPA), conducted from 1987 to 1989.

Notably, the study included both a randomized controlled trial (RCT), where people were randomly assigned to receive services or not, and an observational study, in which people could choose for themselves.

Glynn and Kashin’s results show why the front-door adjustment is such a powerful tool: it allows us to control for confounders that we cannot observe (like Motivation), including those that we can’t even name.

https://scholar.harvard.edu/files/aglynn/files/glynnkashin-frontdoor.pdf