Environmental Management and Data for the SDGs

Abstract

Ambient intelligence data is key for the global scope of climate, biodiversity, water, air pollution, and general environmental control. The account of carbon emissions, water and air pollutants, sea and freshwater life, and earth nature quality, are key for a healthy environment, in local or global concerns. Controlling initiatives and data management for the environment are part of sustainability strategies for governments, businesses, and entities in general. Such initiatives are increasingly connected to key mankind issues such as poverty, hunger, health, education, gender and equality, among others. Altogether, they are clearly addressed in the United Nations Sustainable Development Goals, to be met in 2030. The Sustainable Development Goals (SDGs) provide a relevant connection of environmental intelligence systems with public policies, research, international cooperation, and technology transfers. In a detailed analysis of their targets, they offer the stimulus for a vast array of technical applications linking sustainability issues with Ambient Intelligence technologies. The SDGs should be considered the benchmark for action towards a healthy environment given their global concern and interconnectivity of multiple issues related to a better quality of life. The SDGs should become, ultimately, the main driver for the spread of present and new technologies to promote better monitoring and control of the environment. The growth and advances of Ambient Intelligence technologies to new areas of knowledge should be enhanced by their connectivity with the SDGs.