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## What is Complexity and How Do You Measure It? |

In this
workshop, experts from a diverse range of disciplines will share their specialised datasets and their own theoretical approaches
to measuring complexity. The goal is to seek through dialogue and comparative
analysis, general principles operating in complex systems. Participants
will collect their own example datasets and complexity metrics (algorithms,
code, or software applications) in an online resource called the Atlas of
Complexity enabling systematic comparison of one approach with another (i.e., I
will run my metric on your data). The Atlas of Complexity will make it easier
to locate examples of complexity, promote benchmarking and the adoption of
standards in complexity science and ensure reproducibility of findings. Over
the course of the week, participants will formulate a high-profile review paper
on complexity (explicitly asking what is complexity and how do you measure
it?). The review paper will draw on the diverse concrete examples deposited in
the Atlas of Complexity. Participants
will have expertise covering these disciplines: - Pure
Math & Formal Theory of Computation -
Complexity Science -
Physics of Critical Phenomena - Early
Warning Signals of Critical Transitions - Econophyics -
Social Networks -
Complexity in Legal Structures - Data
Science (Big Data Analytics) -
Complexity in Art -
Artificial Intelligence & Robots - Biology [Back] |