by From Malgorzata Dereniowska Call for Papers The advent of digital economy creates new challenges for businesses, workers, and policymakers. Moreover, business prospects for artificial intelligence and machine learning are evolving quickly. These technologies have transforming implications for all industries, businesses of all sizes, and societies. The digitalisation of economic activities calls for a deep reflection on the forces that will shape the future of the global economy. Aims of the Conference The objective of this conference, led by Prof. Maria Alejandra Madi and Dr. Małgorzata Dereniowska, is to discuss recent contributions to the understanding of digital economy and its consequences for business trends and labour challenges. The conference also focuses on bridging the gap
Topics:
Editor considers the following as important: Uncategorized
This could be interesting, too:
Merijn T. Knibbe writes Using the Theil inequality index to show and analyse increased colonial exploitation
Dean Baker writes Global warming and the threat of cheap Chinese EVs
John Quiggin writes Grading the Budget, or not
Angry Bear writes Last Week in the Inland Empire …
from Malgorzata Dereniowska
Call for Papers
The advent of digital economy creates new challenges for businesses, workers, and policymakers. Moreover, business prospects for artificial intelligence and machine learning are evolving quickly. These technologies have transforming implications for all industries, businesses of all sizes, and societies. The digitalisation of economic activities calls for a deep reflection on the forces that will shape the future of the global economy.
Aims of the Conference
The objective of this conference, led by Prof. Maria Alejandra Madi and Dr. Małgorzata Dereniowska, is to discuss recent contributions to the understanding of digital economy and its consequences for business trends and labour challenges. The conference also focuses on bridging the gap between different economic theoretical approaches and the practical applications of artificial intelligence and machine learning. Related topics include law, ethics, safety, and governance.
Topics include (but are not limited to): read more . . .