Introduction

In the digital age, technological advancements such as Artificial Intelligence (AI), big data, and other digital technologies have revolutionized numerous fields, providing innovative solutions to complex problems. In the realm of environmental research, these technologies offer transformative potential, enabling more accurate modeling, prediction, and optimization of environmental systems. This special issue aims to explore the theoretical frameworks, empirical studies, and simulation analyses that combine AI and big data technologies with traditional analytical approaches. It will delve into the applications of deep learning methods in addressing transportation issues, forecast and predict the use of AI and deep learning in renewable energy systems, and assess the economic and environmental impacts of optimizing production, consumption, and recycling through AI and digital technologies.

 

Topics of Interest

We invite submissions on a wide range of topics related to the integration of AI, big data, and digital technologies in environmental research, including but not limited to:

 

•  Theoretical Frameworks for AI and Big Data in Environmental Research: Innovative theoretical models that utilize AI and big data to enhance our understanding and management of environmental systems.

•  Empirical Studies and Simulation Analyses: Research combining AI and big data technologies with traditional analytical frameworks to provide empirical evidence or simulations of environmental phenomena.

•  Deep Learning in Transportation: Applications of deep learning methods to solve complex transportation problems, improve traffic management, and reduce emissions.

•  AI and Deep Learning in Renewable Energy Systems: Studies on the prediction, optimization, and potential consequences of integrating AI and deep learning into renewable energy systems.

•  Economic and Environmental Assessments of AI and Digital Technologies: Evaluations of the economic and environmental impacts of using AI and digital technologies to optimize production processes, consumption patterns, and recycling efforts.

•  Big Data Analytics in Environmental Research: The impact of big data analytics on environmental monitoring, management, and policy-making.

 

This special issue aims to provide a comprehensive overview of the current state of AI, big data, and digital technologies applications in environmental research and stimulate further advancements in this critical field. We encourage researchers, practitioners, and policymakers to contribute their findings and insights to advance our collective understanding of the intersection between digital technologies and environmental sustainability. Welcome everyone to pay more attention to these fields and submit manuscripts to us.

Artificial Intelligence (AI); Big Data; Digital Technologies; Deep Learning; Environmental Research; Transportation; Renewable Energy Systems; Economic Assessment; Environmental Effect; Energy efficiency