Epistemology

Description

Epistemology from the Greek episteme” and “logos” or What it was to know, and How knowledge is good for the knower. The porject addresses these topics trying to bring new insights into appartently distant topics. We expect that Epistemolgy as a discipline, in tandem with algorithms and the exponentiation of data and computer power will help us to vertebrate a new way of understanding the workd and to build explanatory and predictive models.

• Probability Theory
• Machine Learning (Inside the black box)
• Nowcasting and Forecasting
• Big History
• Causality

Software

• Do Why
• Tutorial on Causal Inference and Counterfactual Reasoning
• Ananke:A module for causal inference

Collaborators

• Ricardo Sanz (The Center for Automation and Robotics, Spain),
• Manuel G. Bedia (Universidad de Zaragoza, Spain),
• Christopher D. Fiorillo (Korea Advanced Institute of Science and Technology, Korea),