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 digitalization of economic activities calls for a deep reflection on the forces that will shape the future of the global economy.
The objective of this conference, led by Prof. Maria Alejandra Madi and Dr. Malgorzata 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.
The Conference calls for a focused reflection on the benefits and risks of the high-tech revolution is an important element of shaping sustainable business and just labor. Related topics include law, ethics, safety, and governance.
Topics include (but are not limited to):
The gig economy and recent economic theoretical approaches: advances and challenges.
Internet of Things in retrospect and today.
Machine learning: integration of people and machine learning in online systems.
Consumer transactions and Big Analytics.
Time Series Data & Data for Prediction in Economics.
Business Transformations though Internet of Things and Artificial Intelligence.
Impact of artificial intelligence on business and society: automation of jobs and the future of job creation
Artificial intelligence for manufacturing: today and tomorrow.
Disruptive innovation and transforming industries: telecom, finance, and travel/transportation, logistics, etc.
Machine learning and eco-challenges.
E-government, e-democracy and e-justice.
Ethical and legal issues of artificial intelligence technology and its applications.
Digital economy and economic inequality.
The impact of the digital economy on competition and economic growth.
We welcome submissions from scholars working in economics, law, political science, psychology, philosophy, and sociology.
We also welcome contributions from business executives responsible for AI initiatives, heads of innovation, data scientists, data analysts, staticians, AI consultants and service providers, and students.
Papers submission: October 30th 2019.
Discussion Forum: November 11th – December 9th 2019.
Maria Alejandra Madi email@example.com
Małgorzata Dereniowska firstname.lastname@example.org