Artificial Intelligence for Sustainable Development

Dear Colleagues,

Artificial intelligence (AI) has significantly evolved in the past decades and provided practitioners with tools making it easier to address challenging real-world applications of multiple nature and complexity levels. These include application domains of great societal, economic, and environmental impact, thus, playing a major role in achieving key Sustainable Development Goals (SDGs) amongst those defined by The United Nations (UN). According to the “2030 Agenda for Sustainable Development”, SDGs are grouped into 17 challenging areas (see https://sdgs.un.org/goals) encompassing a variety of fundamental issues related to social, economic, and environmental aspects including renewable energies adoption, management of water and other natural resources, healthcare and education quality, gender equality, sustainable agriculture, waste minimization, resilient urban development, industrial innovation, and risk management. Hence, this Special Issue focuses on the applications of current AI techniques and approaches (such as machine learning, deep learning, evolutionary computation, social network analyses, automated reasoning, etc.) to SDGs and related concepts like, e.g., modern smart infrastructures (smart grids, smart cities, smart buildings, etc.), intelligent transportation systems, renewable energies and environmental resources, enhanced education and healthcare, cybersecurity, community interaction, and all the other aspects related to societal enhancement.

Prof. Valentino Santucci
Prof. Alfredo Milani
Prof. Fabio Caraffini
Guest Editors