Environment Systems and Decisions, a Springer journal, has launched the Collection Explainable and Trustworthy Artificial Intelligence for Environmental Sustainability, co-edited by Maria José Sousa (BRU-Iscte), alongside Vugar Hacimahmud Abdullayev (Azerbaijan State Oil and Industry University) and Subhendu Kumar Pani (Krupajal Engineering College, India). Submissions are open until 31 March 2027.

This Collection aims to bring together innovative research that explores how explainable and trustworthy AI can support sustainable environmental management. It welcomes interdisciplinary contributions that combine advances in AI with environmental science, remote sensing, the Internet of Things (IoT), digital twins, geospatial technologies, robotics, and data analytics to develop transparent, responsible, and impactful solutions for global environmental challenges. By fostering collaboration across disciplines, this Collection seeks to advance AI technologies that not only deliver high performance but also promote sustainability, accountability, and public trust.