Solar geoengineering, also known as Radiation Modification (SRM), has been proposed to alter Earth’s radiative balance reduce the effects of anthropogenic climate change. SRM identified a research priority, it shown effectively surface temperatures, while substantial uncertainties remain around side and impacts. Global modeling studies have often relied on idealized scenarios understand physica...

The article is devoted to the study of conceptual issues ensuring food and environmental security at global level. In modern conditions, problems its provision are becoming one most important particular relevance. World population growth rates that faster than rate agricultural production, as well declining trends in resources used produce staple foods, further exacerbate problem. risks threats...

Artificial intelligence (AI) systems are already transforming our world socially, economically and politically part of everyday lives, most the time in invisible ways. In this paper, I offer some reflections on possible effects that ‘AI turn’ global governance has for human rights practices, particularly case United Nations. This turn, under banner good’, is expressed UN's intervention major cr...

In 1963, the United States Senate Permanent Subcommittee on Investigations received evidence alleging that US aid funds to Iran had been misappropriated and used bribe prominent American Iranian figures. Members of royal family high-profile businessmen diplomats were implicated in emerging corruption scandal. The allegations made by businessman self-proclaimed “World’s Best Dressed Man,” Khaiba...

Abstract The global spread of Covid-19 not only disrupted transborder movement. In many (if most) states, stasis and closure became the default norm at within borders. This, in turn, generated exceptions organised around an idea ‘essential’ entry. category was produced, revised, represented through interaction pandemic-driven exigencies nationally-specific articulations legal, political, econom...

The inference of politically-oriented information from text data is a popular research topic in Natural Language Processing (NLP) at both text- and author-level. In recent years, studies this kind have been implemented with the aid representations ranging simple count-based models (e.g., bag-of-words) to sequence-based built transformers BERT). Despite considerable success, however, we may stil...