English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Using updated Archigos Data, as well as structural and event data, we construct a split-population duration model of irregular leadership changes. These are leadership changes that occur outside of the normal, legal framework for leadership transitions. Our model was estimated in March 2014 and produced probability estimates of leadership changes in many countries in the world. We used a wisdom-of-the-crowds approach to combining estimates from various different models. Ukraine and Thailand are among those in which we had the highest predictions for irregular change of leaders

Ensemble forecasting of irregular leadership change