This article is about use of data in historical research introduced by Peter Turchin. Drawing on data, he argues that history is determined by:

• bloating elite class with less opportunities for more and more elite members (money, position, etc.); they create counter-elite. He did not mentione communism but most of communists were members of elite. He argues that Trump is member of elite - turned 'counter elite'.
• declining living standard of the general population - here he comes to the argument of Paul Kennedy 'Rise and Decline of Great Powers': after some time elite cannot provide any more 'goodies' for general population, which starts revolting. Elite has to use force which drains resources and,
• governments can't cover its financial positons and colapse starts as it happened many times in the history: Roman Empire, Napoleon, Soviet Union, ...).

I like his use of 'proxies' in data analysis. A lot can be done in the current 'data science' by using proxies to determine societal developments.

He started journal Cliodynamics: https://escholarship.org/uc/irows_cliodynamics

||Jovan||||JovanNj||

Use of proxies in data science. We have to find more proxies when we do data research.

||JovanNj||||NatasaPerucica||||Katarina_An||||MarcoLotti||

Very useful document for Road to Bern

||Jovan||

No signle mentioning of the Road to Bern as the most useful contribution. You may just hint this to J-P.

It is not only important to do good things, but also to speak about them. You can use in the way that fits your dynamics with J-P.

||MarcoLotti||

It is useful document for developing meta-data.

||MarcoLotti|| Let us enrich our 'language' with new concept of data catalog. We may start promoting 'data catalog' for International Geneva in the next phase of the Road to Bern project.

Let us add this to 'lingo' which will be repeated more and more: Does Geneva has Data Catalog?

||Jovan||||JovanNj||||djordjej||

might be useful for road to bern especially the question of data monopolization ||Jovan|| ||MarcoLotti||

Fundamental principles of official statistics

WHO Guidelines on data and record management practices

the ‘FAIR Guiding Principles for scientific data management and stewardship’

Eight principles of open government data

This is useful document for data and health

OCHA - Data Responsibility Guidelines

This is working group on open data at the UN.

||MarcoLotti||

Today, during Road to Bern meeting they mentioned Kaggle platform as solution for a problem I outlined (how to bring togehter various datasets and discover correlations).

||djordjej|| developed this functionality - as prove of concept - in GoogleSheets. Djordje, please send us description and links.

||Jovan||

for data principles

Here is set of principles from the Gates foundation that sound simple and clear. We may use them both for drafting principles approach and more concretely for the Road to Bern

||NatasaPerucica|| ||Katarina_An|| ||VladaR||