This volume bridges contemporary philosophical conceptions of risk and responsibility and offers an extensive examination of the topic. It shows that risk and responsibility combine in ways that give rise to new philosophical questions and problems.…
"Bringing a unique perspective to the burgeoning ethical and legal issues surrounding the presence of artificial intelligence in our daily lives, the book uses theory and practice on animal rights and the rights of nature to assess the status of…
This book is open access under a CC BY 4.0 license. By 2050, human population is expected to reach 9.7 billion. The demand for increased food production needs to be met from ever reducing resources of land, water and other environmental constraints.…
This e-book summarises the latest advances in the rheumatic diseases with a focus on the recent efforts of vascular and pulmonary manifestations and anticipate the new and future directions of these research topic. Rheumatic diseases represent a…
This open access book by Nils Karlson explores the strategies used by left- and right-wing populists to make populism intelligible, recognizable, and contestable. It presents a synthesized explanatory model for how populists promote autocratization…
This open access book provides an evidence-based roadmap for revitalising Indian agriculture while ensuring that the growth process is efficient, inclusive, and sustainable, and results in sustained growth of farmers’ incomes. The book, instead of…
Revisualising Intersectionality offers transdisciplinary interrogations of the supposed visual evidentiality of categories of human similarity and difference. This open-access book incorporates insights from social and cognitive science as well as…
This open access book provides new conceptualisations on the networks of migrants and their descendants in accessing the labour market. Although references to social networks are common in discussions of migration, simplified ideas of co-ethnic…
The use of advanced and scalable algorithms, along with parallel programming frameworks and high-performance computers, is commonly used to solve Big Data problems and obtain valuable information and learning processes in a reasonable time. This…